Home    
People    
Projects    
Papers    
Courses    
Public    
|
|
Publications
$ Last generated: Mon Oct 28 11:57:13 2024 EST $
The documents linked here are included by the contributing authors as
a means to ensure timely dissemination of scholarly and technical
work on a non-commercial basis. Copyright and all rights therein are
maintained by the authors or by other copyright holders such as ACM,
IEEE, or others,
notwithstanding that they have offered their works here
electronically. It is understood that all persons copying this
information will adhere to the terms and constraints invoked by each
author's copyright.
Group by [ Year | Type |
Topic ]
(Reverse chronological order)
[
Bibliometrics |
Bioinformatics |
Crowdsourcing |
Cybersecurity |
Databases |
Data Mining |
Digital Libraries |
Education |
Multimedia |
Social Computing |
Web Services |
Web |
XML
]
Bibliometrics
- Gatekeeper: Analyzing G-Indexes and Improving Service Quantification
Jingtao Han, Spyke Krepshaw, Dongwon Lee
20th ACM/IEEE Joint Conf. on Digital Libraries (JCDL), Virtual Event, August 2020
- Gatekeeper: Quantifying the Impacts of Service to the Scientific Community
Spyke Krepshaw, Dongwon Lee
23rd Int'l Conf. on Theory and Practice of Digital Libraries (TPDL), Oslo, Norway, September 2019
- Recommendation of Newly Published Research Papers using Belief Propagation
Jiwoon Ha, Soon-Hyoung Kwon, Sang-Wook Kim, Dongwon Lee
ACM Research in Adaptive and Convergent Systems (RACS) , Baltimore, MD, October 2014
- Modeling Idiosyncratic Properties of Collaboration Networks Revisited
Ergin Elmacioglu, Dongwon Lee
Scientometrics, Vol. 80, No. 1, page 197-218, June 2009
- Oracle, Where Shall I Submit My Papers?
Ergin Elmacioglu, Dongwon Lee
ACM Comm. of the ACM (CACM), Vol. 52, No. 2, page 115-118, February 2009
- Measuring Conference Quality by Mining
Program Committee Characteristics
Ziming Zhuang, Ergin Elmacioglu, Dongwon Lee, C. Lee Giles
ACM/IEEE Joint Conf. on Digital Libraries (JCDL), page 225-234, Vancouver, BC, Canada, June 2007
Acceptance Rate: 33% (44/131)
- Toward Alternative Measures for Ranking Venues: A Case
of Database Research Community
Su Yan, Dongwon Lee
ACM/IEEE Joint Conf. on Digital Libraries (JCDL), page 235-244, Vancouver, BC, Canada, June 2007
Acceptance Rate: 33% (44/131)
- On Six Degrees of Separation in DBLP-DB and More
Ergin Elmacioglu, Dongwon Lee
ACM SIGMOD Record, Vol. 34, No. 2, page 33-40, June 2005
Bioinformatics
- Adaptive GDDA-BLAST: Fast and Efficient Algorithm for Protein Sequence Embedding
Yoojin Hong, Jaewoo Kang, Dongwon Lee, Damian B. van Rossum
PLOS ONE, Vol. 5, No. 10, October 2010
- HICCUP: Hierarchical Clustering Based Value Imputation using
Heterogeneous Gene Expression Microarray Datasets
Qiankun Zhao, Prasenjit Mitra, Dongwon Lee, Jaewoo Kang
7th IEEE Int'l Symp. on BioInformatics and BioEngineering (BIBE), Boston, MA, USA, October 2007
Acceptance Rate: 13% (65/500)
Crowdsourcing
- Task Relevance and Diversity as Worker Motivation in Crowdsourcing
Julien Pilourdault, Sihem Amer-Yahia, Senjuti Roy, Dongwon Lee
34th IEEE Int'l Conf. on Data Engineering (ICDE), Paris, France, April 2018
Acceptance Rate: 23% (98/424)
- CrowdK: Top-K Query Processing with Crowdsourcing
Jongwuk Lee, Dongwon Lee, Seung-won Hwang
Information Sciences (IS), Vol. 399, page 98-120, August 2017
- Motivation-Aware Task Assignment in Crowdsourcing
Julien Pilourdault, Sihem Amer-Yahia, Dongwon Lee, Senjuti Roy
20th Int'l Conf. on Extending Database Technology (EDBT), Venice, Italy, March 2017
Acceptance Rate: 22% (37/168)
- "Told You I Didn't Like It": Exploiting Uninteresting Items for Effective
Collaborative Filtering
Won-Seok Hwang, Juan Parc, Sang-Wook Kim, Jongwuk Lee, Dongwon Lee
32nd IEEE Int'l Conf. on Data Engineering (ICDE), Helsinki, Finland, May 2016
Acceptance Rate: 25% (99/395)
- CrowdSky: Skyline Computation with Crowdsourcing
Jongwuk Lee, Dongwon Lee, Sang-Wook Kim
19th Int'l Conf. on Extending Database Technology (EDBT), Bordeaux, France, March 2016
Acceptance Rate: 27% (38/137)
- Data-driven Crowdsourcing: Management, Mining, and Applications
Lei Chen, Dongwon Lee, Tova Milo
31st IEEE Int'l Conf. on Data Engineering (ICDE), Seoul, Korea, April 2015 (Tutorial)
- Crowdsourcing in Information and Knowledge Management
Lei Chen, Dongwon Lee, Meihui Zhang
23rd ACM Int'l Conf. on Information and Knowledge Management (CIKM), Shanghai, China, November 2014 (Tutorial)
- Human-Powered Database Operations
Dongwon Lee
29th Brazilian Symp. on Databases (SBBD), Curitiba, Brazil, October 2014 (Tutorial)
- Human-Powered Blocking in Entity Resolution: A Feasibility Study
Weiling Li, Jongwuk Lee, Dongwon Lee
KDD Int'l Workshop on Multimodal Crowd Sensing (CrowdSens), New York, NY, August 2014
- Crowdsourced Algorithms in Data Management
Dongwon Lee
19th Int'l Conf. on Database Systems for Advanced Applications (DASFAA), Bali, Indonesia, April 2014 (Tutorial)
- Alleviating the Sparsity in Collaborative Filtering using Crowdsourcing
Jongwuk Lee, Myungha Jang, Dongwon Lee, Won-Seok Hwang, Jiwon Hong, Sang-Wook Kim
ACM RecSys Int'l Workshop on Crowdsourcing and Human Computation for Recommender Systems (CrowdRec), Hong Kong, China, October 2013
Cybersecurity
- Authorship Obfuscation in Multilingual Machine-Generated Text Detection
Dominik Macko, Robert Moro, Adaku Uchendu, Ivan Srba, Jason Lucas, Michiharu Yamashita, Nafis Irtiza Tripto, Dongwon Lee, Jakub Simko, Maria Bielikova
Findings of Conf. on Empirical Methods in Natural Language Processing (EMNLP-Findings), Miami, FL, December 2024
- Generative AI Disproportionately Harms Long Tail Users
Barani Maung Maung, Keegan McBride, Jason S. Lucas, Maryam Tabar, Dongwon Lee
IEEE Computer, Volume 57, Issue 11, November 2024
- Text Authorship in the Age of Large Language Models
Saranya Venkatraman
Ph.D. Dissertation, The Pennsylvania State University, October 2024
- TopFormer: Topology-Aware Authorship Attribution of Deepfake Texts with Diverse Writing Styles
Adaku Uchendu, Thai Le, Dongwon Lee
European Conf. on Artificial Intelligence (ECAI), Santiago de Compostela, Spain, October 2024
- The Longtail Impact of Generative AI on Disinformation: Harmonizing Dichotomous Perspectives
Jason S. Lucas, Barani Maung Maung, Maryam Tabar, Keegan McBride, Dongwon Lee
IEEE Intelligent Systems, Volume 39, Issue 5, September 2024
- Privacy-Enhancing Technologies: Empowering Global Collaboration at Scale
Olga Fink, Lisette van Gemert-Pijnen, Dongwon Lee, Andrew Maynard, Bastiaan van Schijndel
Top 10 Emerging Technologies of 2024, Flagship Report, World Economic Forum (WEF), June 2024
- The Strange Case of Jekyll and Hyde: Analysis of r/ToastMe and r/RoastMe Users on Reddit
Wooyong Jung, Nishant Asati, Phuong (Lucy) Doan, Thai Le, Aiping Xiong, Dongwon Lee
18th Int'l AAAI Conf. on Web and Social Media (ICWSM), Buffalo, NY, June 2024
- Reliability Matters: Exploring the Effect of AI Explanations on Misinformation Detection With a Warning
Haeseung Seo, Sian Lee, Dongwon Lee, Aiping Xiong
18th Int'l AAAI Conf. on Web and Social Media (ICWSM), Buffalo, NY, June 2024
- GPT-who: An Information Density-based Machine-Generated Text Detector
Saranya Venkatraman, Adaku Uchendu, Dongwon Lee
Annual Conf. of the North American Chapter of the Asso. for Comp. Linguistics (NAACL-Findings), Mexico City, Mexico, June 2024
- Fake Resume Attacks: Data Poisoning on Online Job Platforms
Michiharu Yamashita, Thanh Tran, Dongwon Lee
The ACM Web Conference (WWW), Singapore, May 2024
- Disinformation 2.0 in the Age of AI: A Cybersecurity Perspective
Wojciech Mazurczyk, Dongwon Lee, Andreas Vlachos
ACM Comm. of the ACM (CACM), March 2024
- Fighting Fire with Fire: The Dual Role of LLMs in Crafting and Detecting Elusive Disinformation
Jason Lucas, Adaku Uchendu, Michiharu Yamashita, Jooyoung Lee, Shaurya Rohatgi, Dongwon Lee
Conf. on Empirical Methods in Natural Language Processing (EMNLP), Singapore, December 2023
- MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark
Dominik Macko, Robert Moro, Adaku Uchendu, Jason Lucas, Michiharu Yamashita, Matus Pikuliak, Ivan Srba, Thai Le, Dongwon Lee, Jakub Simko, Maria Bielikova
Conf. on Empirical Methods in Natural Language Processing (EMNLP), Singapore, December 2023
- UPTON: Preventing Authorship Leakage from Public Text Release via Data Poisoning
Ziyao Wang, Thai Le, Dongwon Lee
Findings of Conf. on Empirical Methods in Natural Language Processing (EMNLP-Findings), Singapore, December 2023
- HANSEN: Human and AI Spoken Text Benchmark for Authorship Analysis
Nafis Irtiza Tripto, Adaku Uchendu, Thai Le, Mattia Setzu, Fosca Giannotti, Dongwon Lee
Findings of Conf. on Empirical Methods in Natural Language Processing (EMNLP-Findings), Singapore, December 2023
- Empirical Studies on Platform-driven and User-initiated Methods for Misinformation Correction
Haeseung Seo
Ph.D. Dissertation, The Pennsylvania State University, December 2023
- Does Human Collaboration Enhance the Accuracy of Identifying LLM-Generated Deepfake Texts?
Adaku Uchendu, Jooyoung Lee, Hua Shen, Thai Le, Ting-Hao Huang, Dongwon Lee
11th AAAI Conf. on Human Computation and Crowdsourcing (HCOMP), Delft, Netherlands, November 2023
- "Fact-Checking" Fact Checkers: A Data-Driven Approach
Sian Lee, Aiping Xiong, Haeseung Seo, Dongwon Lee
Harvard Kennedy School (HKS) Misinformation Review, 4(5), October 2023
- Information Operations in Turkey: Manufacturing Resilience with Free Twitter Accounts
Maya Merhi, Sarah Rajtmajer, Dongwon Lee
17th Int'l AAAI Conf. on Web and Social Media (ICWSM), Limassol, Cyprus, June 2023
- Associative Inference Can Increase People's Susceptibility to Misinformation
Sian Lee, Haeseung Seo, Dongwon Lee, Aiping Xiong
17th Int'l AAAI Conf. on Web and Social Media (ICWSM), Limassol, Cyprus, June 2023
- If You Have a Reliable Source, Say Something: Effects of Correction Comments on COVID-19 Misinformation
Haeseung Seo, Aiping Xiong, Sian Lee, Dongwon Lee
16th Int'l AAAI Conf. on Web and Social Media (ICWSM), Atlanta, GA, June 2022
- SHIELD: Defending Textual Neural Networks against Multiple Black-Box Adversarial Attacks with Stochastic Multi-Expert Patcher
Thai Le, Noseong Park, Dongwon Lee
60th Annual Meeting of the Asso. for Comp. Linguistics (ACL), Dublin, Ireland, May 2022
- Perturbations in the Wild: Leveraging Human-Written Text Perturbations for Realistic Adversarial Attack and Defense
Thai Le, Jooyoung Lee, Kevin Yen, Yifan Hu, Dongwon Lee
Findings of 60th Annual Meeting of the Asso. for Comp. Linguistics (ACL-Findings), Dublin, Ireland, May 2022
- Effects of Associative Inference on Individuals’ Susceptibility to Misinformation
Aiping Xiong, Sian Lee, Haeseung Seo, Dongwon Lee
Journal of Experimental Psychology (JEP): Applied, 29(1), 2022
- A Systematic Review on Fake News Research through the Lens of News Creation and Consumption: Research Efforts, Challenges, and Future Directions
Bogoan Kim, Aiping Xiong, Dongwon Lee, Kyungsik Han
PLOS ONE, 16(12), December 2021
- TuringBench: A Benchmark Environment for Turing Test in the Age of Neural Text Generation
Adaku Uchendu, Zeyu Ma, Thai Le, Rui Zhang, Dongwon Lee
Findings of Conf. on Empirical Methods in Natural Language Processing (EMNLP-Findings), Virtual Event, November 2021
- (In)effectiveness of Accumulated Correction on COVID-19 Misinformation
Haeseung Seo, Sian Lee, Aiping Xiong, Dongwon Lee
American Psychological Association Conf. on Technology, Mind & Society (TMS), Virtual Event, November 2021
- ChamberBreaker: Mitigating the Echo Chamber Effect and Supporting Information Hygiene through a Gamified Inoculation System
Youngseung Jeon, Bogoan Kim, Aiping Xiong, Dongwon Lee, Kyungsik Han
24th ACM Conf. on Computer-Supported Cooperative Work and Social Computing (CSCW), Virtual Event, October 2021
- A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger's Adversarial Attacks
Thai Le, Noseong Park, Dongwon Lee
59th Annual Meeting of the Asso. for Comp. Linguistics (ACL), Virtual Event, October 2021 (Oral)
Acceptance Rate: 21.3% (713/3350)
- Authorship Attribution for Neural Text Generation
Adaku Uchendu, Thai Le, Kai Shu, Dongwon Lee
Conf. on Empirical Methods in Natural Language Processing (EMNLP), Virtual Event, November 2020
Acceptance Rate: 22.4% (754/3,359)
- DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation
Limeng Cui, Haeseung Seo, Maryam Tabar, Fenglong Ma, Suhang Wang, Dongwon Lee
26th ACM SIGKDD Int'l Conf. on
Knowledge Discovery and Data Mining (KDD), Virtual Event, August 2020
Acceptance Rate: 16.9% (216/1,279)
- CoAID: COVID-19 Healthcare Misinformation Dataset
Limeng Cui, Dongwon Lee
arXiv Preprint arXiv:2006.00885, May 2020
- dEFEND: A System for Explainable Fake News Detection
Limeng Cui, Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu
28th ACM Int'l Conf. on Information and Knowledge Management (CIKM), Beijing, China, November 2019 (Demo)
- dEFEND: Explainable Fake News Detection
Kai Shu, Limeng Cui, Suhang Wang, Dongwon Lee, Huan Liu
25th ACM SIGKDD Int'l Conf. on
Knowledge Discovery and Data Mining (KDD), Anchorage, AK, August 2019
Acceptance Rate: 17.8% (321/1,808)
- Trust It or Not: Effects of Machine-Learning Warnings in Helping Individuals Mitigate Misinformation
Haeseung Seo, Aiping Xiong, Dongwon Lee
11th Int'l ACM Web Science Conf. (WebSci), Boston, MA, July 2019
- A Reverse Turing Test for Detecting Machine-Made Texts
Jialin Shao, Adaku Uchendu, Dongwon Lee
11th Int'l ACM Web Science Conf. (WebSci), Boston, MA, July 2019
- How Gullible Are You? Predicting Susceptibility to Fake News
Jia Tracy Shen, Robert Cowell, Adita Gupta, Thai Le, Amulya Yadav, Dongwon Lee
11th Int'l ACM Web Science Conf. (WebSci), Boston, MA, July 2019
- #DontTweetThis: Scoring Private Information in Social Networks
Qiaozhi Wang, Hao Xue, Fengjun Li, Dongwon Lee, Bo Luo
Proceedings of the Privacy Enhancing Technologies Symp. (PoPETS), Stockholm, Sweden, July 2019
- Arcana: Enabling Private Posts on Public Microblog Platforms
Anirudh Narasimman, Qiaozhi Wang, Fengjun Li, Dongwon Lee, Bo Luo
34th IFIP Int'l Conf. on Systems Security and Privacy Protection (SEC), Lisbon, Portugal, June 2019
- My Friend Leaks My Privacy: Modeling and Analyzing Privacy in Social Networks
Lingjing Yu, Sri Mounica Motipalli, Dongwon Lee, Peng Liu, Heng Xu, Qingyun Liu, Jianlong Tan, Bo Luo
23rd ACM Symposium on Access Control Models and Technologies (SACMAT), Indianapolis, IN, June 2018
- Stateless Puzzles for Real Time Online Fraud Preemption
Mizanur Rahman, Ruben Recabarren, Bogdan Carbunar, Dongwon Lee
9th Int’l ACM Web Science Conf. (WebSci), Troy, NY, June 2017
- Virtual World-Based Information Security Learning: Design and Evaluation
Jungwoo Ryoo, Angsana Techatassanasoontorn, Dongwon Lee
J. of Info. Science Theory and Practice, Vol. 4, No. 3, page 6-27, September 2016
- Enforcing Secure and Privacy-Preserving Information Brokering in Distributed Information Sharing
Fengjun Li, Bo Luo, Peng Liu, Dongwon Lee, Chao-Hsien Chu
IEEE Trans. on Information Forensics and Security (TIFS), Vol. 8, No. 6, page 888-900, June 2013
- Privacy-Preserving Group Linkage
Fengjun Li, Yuxin Chen, Bo Luo, Dongwon Lee, Peng Liu
23rd Int'l Conf. on Scientific and Statistical Database Management (SSDBM), Portland, OR, July 2011
- QFilter: Rewriting Insecure XML Queries to Secure Ones using Non-Deterministic Finite Automata
Bo Luo, Dongwon Lee, Wang-Chien Lee, Peng Liu
VLDB J., Vol. 20, No. 3, page 397-415, June 2011
- Game-based InfoSec Education Using OpenSim
Jungwoo Ryoo, Angsana Techatassanasoontorn, Dongwon Lee, Jeremy Lothian
15th Colloquium for Information Systems Security Education (CISSE), Fairborn, OH, June 2011
- XML Access Control
Dongwon Lee, Ting Yu
Encyclopedia of Database Systems (EDBS), Springer, page 3573-3576, New York, NY, USA, December 2009 (Invited)
- On Protecting Private Information in Social Networks: A Proposal
Bo Luo, Dongwon Lee
Int'l Workshop on Modeling, Managing and Mining of
Evolving Social Networks (M3SN) @ ICDE, Shanghai, China, April 2009
- Security Education using Second Life
Jungwoo Ryoo, Angsana Techatassanasoontorn, Dongwon Lee
IEEE Security & Privacy, Vol. 7, No. 2, page 72-75, March 2009
- Defending against Attribute-Correlation Attacks in Privacy-Aware Information Brokering
Fengjun Li, Bo Luo, Peng Liu, Anna Squicciarini, Dongwon Lee, Chao-Hsien Chu
Int'l Conf. on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom), Orlando, FL, USA, November 2008
- XML Access Control in Native and RDBMS-Supported XML Databases
Bo Luo
Ph.D. Dissertation, The Pennsylvania State University, August 2008
- Automaton Segmentation: A New Approach to Preserve Privacy in XML
Information Brokering
Fengjun Li, Bo Luo, Peng Liu, Dongwon Lee, Chao-Hsien Chu
14th ACM Conf. on Computer and Communication Security (CCS), Alexandria, VA, USA, October 2007
Acceptance Rate: 18% (55/303)
- Pragmatic XML Access Control using Off-the-shelf RDBMS
Bo Luo, Dongwon Lee, Peng Liu
12th European Symposium On Research In Computer Security
(ESORICS), Dresden, Germany, September 2007
Acceptance Rate: 23% (39/164)
- Security-Conscious XML Indexing
Yan Xiao, Bo Luo, Dongwon Lee
12th Int'l Conf. on Database Systems for Advanced
Applications (DASFAA), page 949-954, Bangkok, Thailand, April 2007
Acceptance Rate: 29.6% (111/375)
- Incremental Adaptation of XPath Access Control Views
Padmapriya Ayyagari, Prasenjit Mitra, Dongwon Lee, Peng Liu, Wang-Chien Lee
ACM Symp. on Information, Computer and Communications Security (ASIACCS), page 105-116, Singapore, March 2007
Acceptance Rate: 18% (32/182)
- In-broker Access Control: Towards Efficient End-to-End Performance of Information Brokerage Systems
Fengjun Li, Bo Luo, Peng Liu, Dongwon Lee, Prasenjit Mitra, Wang-Chien Lee, Chao-Hsien Chu
Int'l J. on Intelligent Control and Systems (IJICS) Vol. 12, No. 4, page 283-292, 2007
- In-broker Access Control: Towards Efficient End-to-End Performance of Information Brokerage Systems
Fengjun Li, Bo Luo, Peng Liu, Dongwon Lee, Prasenjit Mitra, Wang-Chien Lee, Chao-Hsien Chu
IEEE Int'l Conf. on Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC), page 252-259, Taichung, Taiwan, June 2006
Acceptance Rate: 25% (50/210)
- Blocking-Aware Private Record Linkage
Ali Al-Lawati, Dongwon Lee, Patrick McDaniel
ACM SIGMOD Workshop on Information Quality in Information Systems (IQIS), page 59-68, Baltimore, MD, USA, June 2005
Acceptance Rate: 42% (11/26)
- QFilter: Fine-Grained Run-Time XML Access Control via NFA-based Query Rewriting
Bo Luo, Dongwon Lee, Wang-Chien Lee, Peng Liu
13th ACM Int'l Conf. on Information and Knowledge Management (CIKM), page 543-552, Washington DC, USA, November 2004
Acceptance Rate: 19% (60/303)
- A Flexible Framework for Architecting XML Access Control
Enforcement Mechanisms
Bo Luo, Dongwon Lee, Wang-Chien Lee, Peng Liu
VLDB Workshop on Secure Data Management in a Connected World (SDM), page 133-147, Toronto, Canada, August 2004
Acceptance Rate: 53% (15/28)
Databases
- CrypText: Database and Interactive Toolkit of Human-Written Text Perturbations in the Wild
Thai Le, Yiran Ye, Yifan Hu, Dongwon Lee
39th IEEE Int'l Conf. on Data Engineering (ICDE), Anaheim, CA, April 2023 (Demo)
- WILSON: A Divide and Conquer Approach for Fast and Effective News Timeline Summarization
Yiming Liang, Shuguang Wang, Dongwon Lee
24th Int'l Conf. on Extending Database Technology (EDBT), Virtual Event, March 2021
- Making AI Machines Work for Humans in FoW
Sihem Amer-Yahia
et al.
ACM SIGMOD Record, Vol. 49, No. 2, June 2020
- l-Injection: Toward Effective Collaborative Filtering Using Uninteresting Items
Jongwuk Lee, Won-Seok Hwang, Juan Parc, Youngnam Lee, Sang-Wook Kim, Dongwon Lee
IEEE Trans. on Knowledge and Data
Engineering (TKDE), Vol. 31, No. 1, page 3-16, January 2019
- CrowdK: Top-K Query Processing with Crowdsourcing
Jongwuk Lee, Dongwon Lee, Seung-won Hwang
Information Sciences (IS), Vol. 399, page 98-120, August 2017
- Improving the Accuracy of Top-N Recommendation using a Preference Model
Jongwuk Lee, Dongwon Lee, Yeon-Chang Lee, Won-Seok Hwang, Sang-Wook Kim
Information Sciences (IS), Vol. 348, page 290-304, June 2016
- High-Performance Record Linkage
Hung-sik Kim
Ph.D. Dissertation, The Pennsylvania State University, May 2010
- HARRA: Fast Iterative Hashed Record Linkage for Large-Scale Data Collections
Hung-sik Kim, Dongwon Lee
13th Int'l Conf. on Extending Database Technology (EDBT), Lausanne, Switzerland, March 2010
Acceptance Rate: 18% (54/307)
- Record Linkage as DNA Sequence Alignment Problem
Yoojin Hong, Tao Yang, Jaewoo Kang, Dongwon Lee
6th Int'l Workshop on Quality in Databases (QDB), Auckland, New Zealand, August 2008
- Web Based Linkage
Ergin Elmacioglu, Min-Yen Kan, Dongwon Lee, Yi Zhang
9th ACM Int'l Workshop on Web Information and Data Management (WIDM), Lisbon, Portugal, November 2007
Acceptance Rate: 25% (20/80)
- Parallel Linkage
Hung-sik Kim, Dongwon Lee
16th ACM Int'l Conf. on Information and Knowledge Management (CIKM), Lisbon, Portugal, November 2007
Acceptance Rate: 17% (86/512)
- Data Cleaning Techniques by means of Entity Resolution
Byung-Won On
Ph.D. Dissertation, The Pennsylvania State University, May 2007
- Group Linkage
Byung-Won On, Nick Koudas, Dongwon Lee, Divesh Srivastava
IEEE 23rd Int'l Conf. on Data Engineering (ICDE), page 496-505, Istanbul, Turkey, April 2007
Acceptance Rate: 18% (122/659)
- Report on the First International VLDB Workshop on Clean Databases (CleanDB 2006)
Dongwon Lee, Chen Li
ACM SIGMOD Record, Vol. 36, No. 1, page xx-xx, March 2007
- An Efficient Location Encoding Method for Moving Objects
Using Hierarchical Administrative District and Road
Network
SangYoon Lee, Sanghyun Park, Woo-Cheol Kim, Dongwon Lee
Information Sciences (IS), Vol. 177, No. 3, page 832-843, February 2007
- Improving Grouped-Entity Resolution using Quasi-Cliques
Byung-Won On, Ergin Elmacioglu, Dongwon Lee, Jaewoo Kang, Jian Pei
IEEE Int'l Conf. on Data Mining (ICDM), page 1008-1015, Hong Kong, China, December 2006
Acceptance Rate: 19% (152/800)
- Multivariate Stream Data Classification Using Simple Text
Classifiers
Sungbo Seo, Jaewoo Kang, Dongwon Lee, Keun Ho Ryu
17th Int'l Conf. on Database and Expert Systems Applications (DEXA), page 420-429, Krakow, Poland, September 2006
Acceptance Rate: 23% (90/388)
- Report on the 7th ACM International Workshop on Web Information and Data Management (WIDM 2005)
Angela Bonifati, Dongwon Lee
ACM SIGMOD Record, Vol. 35, No. 2, page 59-61, June 2006
- Establishing Value Mappings Using Statistical Models and User Feedback
Jaewoo Kang, Tae Sik Han, Dongwon Lee, Prasenjit Mitra
14th ACM Int'l Conf. on Information and Knowledge Management (CIKM), page 68-75, Bremen, Germany, November 2005
Acceptance Rate: 18% (76/425)
- Identifying Value Mappings for Data Integration: an Unsupervised Approach
Jaewoo Kang, Dongwon Lee, Prasenjit Mitra
6th International Conf. on Web Information Systems Engineering (WISE), page 544-551, New York, NY, USA, November 2005
Acceptance Rate: 21%
- An Efficient Location Encoding Method Based on Hierarchical
Administrative District
SangYoon Lee, Sanghyun Park, Woo-Cheol Kim, Dongwon Lee
16th Int'l Conf. on
Database and Expert Systems Applications (DEXA), page 890-899, Copenhagen, Denmark, August 2005
Acceptance Rate: 23% (92/390)
- Blocking-Aware Private Record Linkage
Ali Al-Lawati, Dongwon Lee, Patrick McDaniel
ACM SIGMOD Workshop on Information Quality in Information Systems (IQIS), page 59-68, Baltimore, MD, USA, June 2005
Acceptance Rate: 42% (11/26)
- Effective and Scalable Solutions for Mixed and Split Citation
Problems in Digital Libraries
Dongwon Lee, Byung-Won On, Jaewoo Kang, Sanghyun Park
ACM SIGMOD Workshop on Information Quality in Information Systems (IQIS), page 69-76, Baltimore, MD, USA, June 2005
Acceptance Rate: 42% (11/26)
- Report on the 6th ACM International Workshop on Web Information and Data Management (WIDM 2004)
Alberto H. F. Laender, Dongwon Lee
ACM SIGIR Forum, Vol. 39, No. 1, page 31-33, June 2005
- On Six Degrees of Separation in DBLP-DB and More
Ergin Elmacioglu, Dongwon Lee
ACM SIGMOD Record, Vol. 34, No. 2, page 33-40, June 2005
- Designing Triggers with Trigger-By-Example
Dongwon Lee, Wenlei Mao, Henry Chiu, Wesley W. Chu
Knowledge and Information Systems (KAIS), Vol. 7, No 1, page 110-134, January 2005
- Counting Relaxed Twig Matches in a Tree
Dongwon Lee, Divesh Srivastava
9th Int'l Conf. on Database Systems for Advanced Applications (DASFAA), page 88-99, Jeju Island, Korea, March 2004
Acceptance Rate: 22% (60/272)
- Supporting XML Security Models using Relational
Databases: A Vision
Dongwon Lee, Wang-Chien Lee, Peng Liu
XML Database Symposium (XSym), page 267-281, Berlin, Germany, September 2003
Acceptance Rate: 27% (18/65)
- Schema Conversions Methods between XML and Relational Models
Dongwon Lee, Murali Mani, Wesley W. Chu
Knowledge Transformation for the Semantic Web, IOS Press, page 1-17, Amsterdam, 2003 (Invited)
- NeT & CoT: Translating Relational Schemas to XML Schemas using Semantic Constraints
Dongwon Lee, Murali Mani, Frank Chiu, Wesley W. Chu
11th ACM Int'l Conf. on Information and Knowledge Management (CIKM), McLean, VA, USA, November 2002
Acceptance Rate: 24% (73/300)
- XML to Relational Conversion using Theory of Regular Tree Grammars
Murali Mani, Dongwon Lee
VLDB Workshop on Efficiency and Effectiveness of XML Tools, and Techniques (EEXTT), Hong Kong, China, August 2002
- Effective Schema Conversions between XML and Relational Models
Dongwon Lee, Murali Mani, Wesley W. Chu
European Conf. on Artificial Intelligence (ECAI), Knowledge Transformation Workshop (ECAI-OT), Lyon, France, July 2002 (Invited)
- Query Relaxation for XML Model
Dongwon Lee
Ph.D. Dissertation, University of California, Los Angeles, June 2002
- NeT & CoT: Inferring XML Schemas from Relational World
Dongwon Lee, Murali Mani, Frank Chiu, Wesley W. Chu
18th IEEE Int'l Conf. on Data Engineering (ICDE), San Jose, CA, USA, February 2002
Acceptance Rate: 19% (54/287)
- CPI: Constraints-Preserving Inlining Algorithm for Mapping XML DTD to Relational Schema
Dongwon Lee, Wesley W. Chu
J. Data and Knowledge Engineering (DKE), Vol. 39, No 1, page 3-25, October 2001 (Invited as the best paper of ER 2000)
- Declarative Message Addressing
Biliris Alexandros, Gisli Hjalmtysson, H. V. Jagadish, Mark Alan Jones, Dongwon Lee, Inderpal Singh Mumick, Euthimios Panagos, Divesh Srivastava, Dimitra Vista
US Patent No 6,212,552, 2001 (Filed Jan. 15, 1998, Issued Apr. 3, 2001)
- TBE: Trigger-By-Example
Dongwon Lee, Wenlei Mao, Wesley W. Chu
Int'l Conf. on Conceptual Modeling (ER), Salt Lake City, UT, USA, October 2000
Acceptance Rate: 26% (37/140)
- TBE: A Graphical Interface for Writing Trigger Rules in Active Databases
Dongwon Lee, Wenlei Mao, Henry Chiu, Wesley W. Chu
5th IFIP 2.6 Working Conf. on Visual Database Systems (VDB), Fukuoka, Japan, May 2000
- Fast Retrieval of Similar Subsequences in Long Sequence Databases
Sanghyun Park, Dongwon Lee, Wesley W. Chu
3rd IEEE Knowledge and Data Engineering Exchange Workshop (KDEX), Chicago, IL, USA, November 1999
Data Mining
- Predicting Eviction Status Using Airbnb Data in the Absence of Ground-Truth Eviction Records
Maryam Tabar, Anusha Abdulla, J. Andrew Peterson, Dongwon Lee
The 18th ACM Int'l Conf. on Web Search and Data Mining (WSDM), Hannover, Germany, March 2025
- Hotspots of Eviction: Guiding Dual-Track Policy Intervention with Spatial Analysis
Wooyong Jung, Maryam Tabar, Dongwon Lee
IEEE Int'l Conf. on Big Data (BigData), Washington DC, December 2024
- OpenResume: Advancing Career Trajectory Modeling with Open-Source Anonymized and Synthetic Resume Datasets
Michiharu Yamashita, Thanh Tran, Dongwon Lee
IEEE Int'l Conf. on Big Data (BigData), Washington DC, December 2024
- Authorship Obfuscation in Multilingual Machine-Generated Text Detection
Dominik Macko, Robert Moro, Adaku Uchendu, Ivan Srba, Jason Lucas, Michiharu Yamashita, Nafis Irtiza Tripto, Dongwon Lee, Jakub Simko, Maria Bielikova
Findings of Conf. on Empirical Methods in Natural Language Processing (EMNLP-Findings), Miami, FL, December 2024
- Fakes of Varying Shades: How Warning Affects Human Perception and Engagement Regarding LLM Hallucinations
Mahjabin Naher, Haeseung Seo, Eun-Ju Lee, Aiping Xiong, Dongwon Lee
Conf. on Language Modeling (COLM), Philadelphia, PA, October 2024
- Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector
Xianren Zhang, Dongwon Lee, Suhang Wang
European Conf. on Computer Vision (ECCV), Milano, Italy, September 2024
- Catch Me If You GPT: Tutorial on Deepfake Texts
Adaku Uchendu, Saranya Venkatraman, Thai Le, Dongwon Lee
Annual Conf. of the North American Chapter of the Asso. for Comp. Linguistics (NAACL), Mexico City, Mexico, June 2024 (Tutorial)
- ALISON: Fast and Effective Stylometric Authorship Obfuscation
Eric Xing, Saranya Venkatraman, Thai Le, Dongwon Lee
38th AAAI Conf. on Artificial Intelligence (AAAI), Vancouver, Canada, February 2024
- Learning to Compensate for Lack of Information: Extracting Latent Knowledge for Effective Temporal Knowledge Graph Completion
Yeon-Chang Lee, JaeHyun Lee, Dongwon Lee, Sang-Wook Kim
Information Sciences (IS), Vol. 654, January 2024
- Fighting Fire with Fire: The Dual Role of LLMs in Crafting and Detecting Elusive Disinformation
Jason Lucas, Adaku Uchendu, Michiharu Yamashita, Jooyoung Lee, Shaurya Rohatgi, Dongwon Lee
Conf. on Empirical Methods in Natural Language Processing (EMNLP), Singapore, December 2023
- MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark
Dominik Macko, Robert Moro, Adaku Uchendu, Jason Lucas, Michiharu Yamashita, Matus Pikuliak, Ivan Srba, Thai Le, Dongwon Lee, Jakub Simko, Maria Bielikova
Conf. on Empirical Methods in Natural Language Processing (EMNLP), Singapore, December 2023
- UPTON: Preventing Authorship Leakage from Public Text Release via Data Poisoning
Ziyao Wang, Thai Le, Dongwon Lee
Findings of Conf. on Empirical Methods in Natural Language Processing (EMNLP-Findings), Singapore, December 2023
- HANSEN: Human and AI Spoken Text Benchmark for Authorship Analysis
Nafis Irtiza Tripto, Adaku Uchendu, Thai Le, Mattia Setzu, Fosca Giannotti, Dongwon Lee
Findings of Conf. on Empirical Methods in Natural Language Processing (EMNLP-Findings), Singapore, December 2023
- JAMES: Normalizing Job Titles with Multi-Aspect Graph Embeddings and Reasoning
Michiharu Yamashita, Jia Tracy Shen, Thanh Tran, Hamoon Ekhtiari, Dongwon Lee
10th IEEE Int'l Conf. on Data Science and Advanced Analytics (DSAA), Thessaloniki, Greece, October 2023
- A Novel Policy-Graph Approach with Natural Language and Counterfactual Abstractions for Explaining Reinforcement Learning Agents
Tongtong Liu, Joe McCalmon, Thai Le, Md Asifur Rahman, Dongwon Lee, Sarra Alqahtani
J. of the Int'l Foundation for Autonomous Agents and Multi-Agent Systems (AAMAS), 37(2), page 1-37, August 2023
- Attribution and Obfuscation of Neural Text Authorship: A Data Mining Perspective
Adaku Uchendu, Thai Le, Dongwon Lee
SIGKDD Explorations, Vol. 25, No. 1, page 1-18, June 2023
- Reverse Turing Test in the Age of Deepfake Texts
Adaku Uchendu
Ph.D. Dissertation, The Pennsylvania State University, May 2023
- Mitigating Social Challenges among Vulnerable Communities with Machine Learning
Maryam Tabar
Ph.D. Dissertation, The Pennsylvania State University, May 2023
- AI in Education: Effective Machine Learning Methods To Improve Data Scarcity and Knowledge Generalization
Jia Tracy Shen
Ph.D. Dissertation, The Pennsylvania State University, May 2023
- Do Language Models Plagiarize?
Jooyoung Lee, Thai Le, Jinghui Chen, Dongwon Lee
The ACM Web Conference (WWW), Austin, TX, April 2023
Acceptance Rate: 19.2% (365/1,900)
- Catch Me If You GAN: Generation, Detection, and Obfuscation of Deepfake Texts
Adaku Uchendu, Thai Le, Dongwon Lee
The ACM Web Conference (WWW), Austin, TX, April 2023 (Tutorial)
- LANCER: A Lifetime-Aware News Recommender System
Hong-Kyun Bae, Jeewon Ahn, Dongwon Lee, Sang-Wook Kim
37th AAAI Conf. on Artificial Intelligence (AAAI), Washington DC, February 2023
Acceptance Rate: 19.6% (1,721/8,777)
- Imputing Knowledge Tracing Data with Subject-Based Training via LSTM Variational Autoencoders
Jia Tracy Shen, Dongwon Lee
AAAI Workshop on AI for Education (AI4Ed), Washington DC, February 2023
- Fairness in Job Recommendation under Quantity Constraints
Yunqi Li, Michiharu Yamashita, Hanxiong Chen, Dongwon Lee, Yongfeng Zhang
AAAI Workshop on AI for Web Advertising, Washington DC, February 2023
- THOR: Self-Supervised Temporal Knowledge Graph Embedding via Three-Tower Graph Convolutional Networks
Yeon-Chang Lee, JaeHyun Lee, Dongwon Lee, Sang-Wook Kim
IEEE Int'l Conf. on Data Mining (ICDM), Orlando, FL, November 2022
- WARNER: Weakly-Supervised Neural Network to Identify Eviction Filing Hotspots in the Absence of Court Records
Maryam Tabar, Wooyong Jung, Amulya Yadav, Owen Wilson Chavez, Ashley Flores, Dongwon Lee
31st ACM Int'l Conf. on Information and Knowledge Management (CIKM), Atlanta, GA, October 2022
- Achieving User-Side Fairness in Contextual Bandits
Wen Huang, Kevin Labille, Xintao Wu, Dongwon Lee, Neil Heffernan
Human-Centric Intelligent Systems (HCIS), September 2022
- Forecasting the Number of Tenants At-Risk of Formal Eviction: A Machine Learning Approach to Inform Public Policy
Maryam Tabar, Wooyong Jung, Amulya Yadav, Owen Wilson Chavez, Ashley Flores, Dongwon Lee
31st Int'l Joint Conf. on Artificial Intelligence (IJCAI), Vienna, Austria, July 2022
- KETCH: Knowledge Graph Enhanced Thread Recommendation in Healthcare Forums
Limeng Cui, Dongwon Lee
45th Int'l ACM Conf. on Research and Development in Information Retrieval (SIGIR), Madrid, Spain, July 2022
Acceptance Rate: 20% (161/794)
- Detecting False Claims in Low-Resource Regions: A Case Study of Caribbean Islands
Jason Lucas, Limeng Cui, Thai Le, Dongwon Lee
ACL Workshop on Combating Online Hostile Posts in Regional Languages during Emergency Situation (CONSTRAINT), Dublin, Ireland, May 2022
- Trustworthy Machine Learning: Learning under Security, Explainability, and Uncertainty Constraints
Thai Le
Ph.D. Dissertation, The Pennsylvania State University, May 2022
- Understanding and Detecting Online Misinformation with Auxiliary Data
Limeng Cui
Ph.D. Dissertation, The Pennsylvania State University, May 2022
- SHIELD: Defending Textual Neural Networks against Multiple Black-Box Adversarial Attacks with Stochastic Multi-Expert Patcher
Thai Le, Noseong Park, Dongwon Lee
60th Annual Meeting of the Asso. for Comp. Linguistics (ACL), Dublin, Ireland, May 2022
- Perturbations in the Wild: Leveraging Human-Written Text Perturbations for Realistic Adversarial Attack and Defense
Thai Le, Jooyoung Lee, Kevin Yen, Yifan Hu, Dongwon Lee
Findings of 60th Annual Meeting of the Asso. for Comp. Linguistics (ACL-Findings), Dublin, Ireland, May 2022
- CAPS: Comprehensible Abstract Policy Summaries for Explaining Reinforcement Learning Agents
Joe McCalmon, Thai Le, Sarra Alqahtani, Dongwon Lee
Int'l Conf. on Autonomous Agents and Multiagent Systems (AAMAS), Virtual Event, May 2022
Acceptance Rate: 26.4% (166/629)
- Socialbots on Fire: Modeling Adversarial Behaviors of Socialbots via Multi-Agent Hierarchical Reinforcement Learning
Thai Le, Long Tran-Thanh, Dongwon Lee
The ACM Web Conference (WWW), Virtual Event, April 2022
Acceptance Rate: 17.7% (323/1,822)
- ALLIE: Active Learning on Large-scale Imbalanced Graphs
Limeng Cui, Xianfeng Tang, Sumeet Katariya, Nikhil Rao, Pallav Agrawal, Karthik Subbian, Dongwon Lee
The ACM Web Conference (WWW), Virtual Event, April 2022
Acceptance Rate: 17.7% (323/1,822)
- Not All Layers Are Equal: A Layer-Wise Adaptive Approach Toward Large-Scale DNN Training
Yunyong Ko, Dongwon Lee, Sang-Wook Kim
The ACM Web Conference (WWW), Virtual Event, April 2022
Acceptance Rate: 17.7% (323/1,822)
- Looking Further into the Future: Career Pathway Prediction
Michiharu Yamashita, Yunqi Li, Thanh Tran, Yongfeng Zhang, Dongwon Lee
ACM WSDM Workshop on Computational Jobs Marketplace, Virtual Event, February 2022
- Mitigating Low Agricultural Productivity of Smallholder Farms in Africa: Time-Series Forecasting for Environmental Stressors
Maryam Tabar, Dongwon Lee, David Hughes, Amulya Yadav
34th Annual Conf. on Innovative Applications of Artificial Intelligence (IAAI), Virtual Event, February 2022
- Fairness-aware Bandit-based Recommendation
Wen Huang, Kevin Labille, Xintao Wu, Dongwon Lee, Neil Heffernan
IEEE Int'l Conf. on Big Data (BigData), Virtual Event, December 2021
- MathBERT: A Pre-trained Language Model for General NLP Tasks in Mathematics Education
Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil Heffernan, Xintao Wu, Ben Graff, Dongwon Lee
NeurIPS Workshop on Math AI for Education (MathAI4Ed), Virtual Event, December 2021
(Best Paper)
- MASCOT: A Quantization Framework for Efficient Matrix Factorization in Recommender Systems
Yunyong Ko, Jae-Seo Yu, Hong-Kyun Bae, Yongjun Park, Dongwon Lee, Sang-Wook Kim
21st IEEE Int'l Conf. on Data Mining (ICDM), Virtual Event, December 2021
Acceptance Rate: 9.9% (98/990)
- TuringBench: A Benchmark Environment for Turing Test in the Age of Neural Text Generation
Adaku Uchendu, Zeyu Ma, Thai Le, Rui Zhang, Dongwon Lee
Findings of Conf. on Empirical Methods in Natural Language Processing (EMNLP-Findings), Virtual Event, November 2021
- ALADDIN: Asymmetric Centralized Training for Distributed Deep Learning
Yunyong Ko, Kibong Choi, Hyunseung Jei, Dongwon Lee, Sang-Wook Kim
30th ACM Int'l Conf. on Information and Knowledge Management (CIKM), Virtual Event, November 2021 (Spotlight Presentation)
Acceptance Rate: 21.7% (271/1,251)
- A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger's Adversarial Attacks
Thai Le, Noseong Park, Dongwon Lee
59th Annual Meeting of the Asso. for Comp. Linguistics (ACL), Virtual Event, October 2021 (Oral)
Acceptance Rate: 21.3% (713/3350)
- CHECKER: Detecting Clickbait Thumbnails with Weak Supervision and Co-Teaching
Tianyi Xie, Thai Le, Dongwon Lee
Joint European Conf. on Machine Learning and Principles & Practice of Knowledge Discovery in Databases (ECML-PKDD), Virtual Event, September 2021
Acceptance Rate: 29% (64/220)
- Large-Scale Data-Driven Airline Market Influence Maximization
Duanshun Li, Jing Liu, Jinsung Jeon, Seoyoung Hong, Thai Le, Dongwon Lee, Noseong Park
27th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining (KDD), Virtual Event, August 2021
Acceptance Rate: 15.4% (238/1,541)
- A PLAN for Tackling the Locust Crisis in East Africa: Harnessing Spatiotemporal Deep Models for Locust Movement Forecasting
Maryam Tabar, Jared Gluck, Anchit Goyal, Fei Jiang, Derek Morr, Annalyse Kehs, Dongwon Lee, David Hughes, Amulya Yadav
27th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining (KDD), Virtual Event, August 2021
Acceptance Rate: 19.5% (138/705)
- Look Before You Leap: Confirming Edge Signs in Random Walk with Restart for Personalized Node Ranking in Signed Networks
Won Chang Lee, Yeon-Chang Lee, Dongwon Lee, Sang-Wook Kim
44th Int'l ACM Conf. on Research and Development in Information Retrieval (SIGIR), Virtual Event, July 2021
Acceptance Rate: 21% (151/720)
- Classifying Math Knowledge Components via Task-Adaptive Pre-Trained BERT
Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil Heffernan, Xintao Wu, Sean McGrew, Dongwon Lee
22nd Int'l Conf. on Artificial Intelligence in Education (AIED), Virtual Event, June 2021
Acceptance Rate: 24% (40/168)
- MelBERT: Metaphor Detection via Contextualized Late Interaction using Metaphorical Identification Theories
Minjin Choi, Heesoo Park, Sunkyung Lee, Eunseong Choi, Junhyuk Lee, Dongwon Lee, Jongwuk Lee
Annual Conf. of the North American Chapter of the Asso. for Comp. Linguistics (NAACL), Virtual Event, June 2021
Acceptance Rate: 26.5% (477/1,797)
- Authorship Attribution for Neural Text Generation
Adaku Uchendu, Thai Le, Kai Shu, Dongwon Lee
Conf. on Empirical Methods in Natural Language Processing (EMNLP), Virtual Event, November 2020
Acceptance Rate: 22.4% (754/3,359)
- MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models
Thai Le, Suhang Wang, Dongwon Lee
20th IEEE Int'l Conf. on Data Mining (ICDM), Virtual Event, November 2020
Acceptance Rate: 9.8% (91/930)
- TOMATO: A Topic-Wise Multi-Task Sparsity Model
Jason (Jiasheng) Zhang, Dongwon Lee
29th ACM Int'l Conf. on Information and Knowledge Management (CIKM), Virtual Event, October 2020
Acceptance Rate: 20.9% (193/920)
- PROMO for Interpretable Personalized Social Emotion Mining
Jason (Jiasheng) Zhang, Dongwon Lee
Joint European Conf. on Machine Learning and Principles & Practice of Knowledge Discovery in Databases (ECML-PKDD), Virtual Event, September 2020
Acceptance Rate: 19% (131/687)
- GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model’s Prediction
Thai Le, Suhang Wang, Dongwon Lee
26th ACM SIGKDD Int'l Conf. on
Knowledge Discovery and Data Mining (KDD), Virtual Event, August 2020
Acceptance Rate: 16.9% (216/1,279)
- DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation
Limeng Cui, Haeseung Seo, Maryam Tabar, Fenglong Ma, Suhang Wang, Dongwon Lee
26th ACM SIGKDD Int'l Conf. on
Knowledge Discovery and Data Mining (KDD), Virtual Event, August 2020
Acceptance Rate: 16.9% (216/1,279)
- Identifying Homeless Youth At-Risk of Substance
Use Disorder: Data-Driven Insights for Policymakers
Maryam Tabar, Heesoo Park, Stephanie Winkler, Dongwon Lee, Anamika Barman-Adhikari, Amulya Yadav
26th ACM SIGKDD Int'l Conf. on
Knowledge Discovery and Data Mining (KDD), Virtual Event, August 2020
Acceptance Rate: 16% (121/756)
- Characterization, Understanding, and Prediction of Temporal Dynamics of Web Contents
Yiming Liao
Ph.D. Dissertation, The Pennsylvania State University, July 2020
- Disinformation, Misinformation and Fake News in Social Media:
Emerging Research Challenges and Opportunities
Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu (Ed.)
Springer Lecture Notes in Social Networks (LNSN) Book Series, July 2020
- FakeNewsNet: A Data Repository with News Content, Social Context and Spatiotemporal Information for Studying Fake News on Social Media
Kai Shu, Deepak Mahudeswaran, Suhang Wang, Dongwon Lee, Huan Liu
J. Big Data, 8(3), June 2020
- Modeling and Influencing Online User Behavior with Machine Learning
Jason (Jiasheng) Zhang
Ph.D. Dissertation, The Pennsylvania State University, June 2020
- CoAID: COVID-19 Healthcare Misinformation Dataset
Limeng Cui, Dongwon Lee
arXiv Preprint arXiv:2006.00885, May 2020
- Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements
Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu
Disinformation, Misinformation and Fake
News in Social Media (Lecture Notes in Social Networks), March 2020
- Understanding Emotions in SNS Images From Posters' Perspectives
Junho Song, Kyungsik Han, Sang-Wook Kim, Dongwon Lee
35th ACM/SIGAPP Symp. On Applied Computing (SAC), Virtual Event, March 2020
- CONAN: Complementary Pattern Augmentation for Rare Disease Detection
Limeng Cui, Siddharth Biswal, Lucas Glass, Greg Lever, Jimeng Sun, Cao Xiao
34th AAAI Conf. on Artificial Intelligence (AAAI), New York, NY, February 2020
- Predicting Influence Probabilities using Graph Convolutional Networks
Jing Liu, Yudi Chen, Duanshun Li, Noseong Park, Kisung Lee, Dongwon Lee
IEEE Int'l Conf. on Big Data (BigData), Los Angeles, CA, December 2019
Acceptance Rate: 19.2% (106/550)
- PathFinder: Graph-based Itemset Embedding for Learning Course Recommendation and Beyond
Jason (Jiasheng) Zhang, Thai Le, Yiming Liao, Dongwon Lee
19th IEEE Int'l Conf. on Data Mining (ICDM), Beijing, China, November 2019 (Demo)
- dEFEND: A System for Explainable Fake News Detection
Limeng Cui, Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu
28th ACM Int'l Conf. on Information and Knowledge Management (CIKM), Beijing, China, November 2019 (Demo)
- Characterization and Early Detection of Evergreen News Articles
Yiming Liao, Shuguang Wang, Eui-Hong (Sam) Han, Jongwuk Lee, Dongwon Lee
Joint European Conf. on Machine Learning and Principles & Practice of Knowledge Discovery in Databases (ECML-PKDD), Würzburg, Germany, September 2019
Acceptance Rate: 17.7% (130/734)
- 5 Sources of Clickbaits You Should Know! Using Synthetic Clickbaits to Improve Prediction and Distinguish between Bot-Generated and Human-Written Headlines
Thai Le, Kai Shu, Maria Molina, Dongwon Lee, S. Shyam Soundar, Huan Liu
IEEE/ACM Int'l Conf. on Social Networks Analysis and Mining (ASONAM), Vancouver, Canada, August 2019
Acceptance Rate: 14.3% (41/286)
- SAME: Sentiment-Aware Multi-Modal Embedding for Detecting Fake News
Limeng Cui, Suhang Wang, Dongwon Lee
IEEE/ACM Int'l Conf. on Social Networks Analysis and Mining (ASONAM), Vancouver, Canada, August 2019
Acceptance Rate: 14.3% (41/286)
- dEFEND: Explainable Fake News Detection
Kai Shu, Limeng Cui, Suhang Wang, Dongwon Lee, Huan Liu
25th ACM SIGKDD Int'l Conf. on
Knowledge Discovery and Data Mining (KDD), Anchorage, AK, August 2019
Acceptance Rate: 17.8% (321/1,808)
- A Reverse Turing Test for Detecting Machine-Made Texts
Jialin Shao, Adaku Uchendu, Dongwon Lee
11th Int'l ACM Web Science Conf. (WebSci), Boston, MA, July 2019
- Constrained Local Graph Clustering by Colored Random Walk
Yaowei Yan, Yuchen Bian, Dongsheng Luo, Dongwon Lee, Xiang Zhang
29th The Web Conference (WWW), San Francisco, CA, May 2019
Acceptance Rate: 18% (225/1,247)
- l-Injection: Toward Effective Collaborative Filtering Using Uninteresting Items
Jongwuk Lee, Won-Seok Hwang, Juan Parc, Youngnam Lee, Sang-Wook Kim, Dongwon Lee
IEEE Trans. on Knowledge and Data
Engineering (TKDE), Vol. 31, No. 1, page 3-16, January 2019
- Deep Headline Generation for Clickbait Detection
Kai Shu, Suhang Wang, Thai Le, Dongwon Lee, Huan Liu
18th IEEE Int'l Conf. on Data Mining (ICDM), Singapore, November 2018
Acceptance Rate: 8.86% (84/948)
- Regularizing Matrix Factorization with User and Item Embeddings for Recommendation
Thanh Tran, Kyumin Lee, Yiming Liao, Dongwon Lee
27th ACM Int'l Conf. on Information and Knowledge Management (CIKM), Turin, Italy, October 2018
Acceptance Rate: 17% (147/862)
- Computational Solutions against Fake News: AI vs. DB Approaches
Naeemul Hassan, Dongwon Lee
32nd AAAI Conf. on Artificial Intelligence (AAAI), New Orleans, LA, February 2018 (Tutorial)
- ROAR: Robust Label Ranking for Social Emotion Mining
Jason (Jiasheng) Zhang, Dongwon Lee
32nd AAAI Conf. on Artificial Intelligence (AAAI), New Orleans, LA, February 2018
Acceptance Rate: 24.6% (933/3,800)
- gOCCF: Graph-Theoretic One-Class Collaborative Filtering Based on Uninteresting Items
Yeon-Chang Lee, Sang-Wook Kim, Dongwon Lee
32nd AAAI Conf. on Artificial Intelligence (AAAI), New Orleans, LA, February 2018
Acceptance Rate: 24.6% (933/3,800)
- Understanding Temporal Backing Patterns in Online Crowdfunding Communities
Yiming Liao, Thanh Tran, Dongwon Lee, Kyumin Lee
9th Int’l ACM Web Science Conf. (WebSci), Troy, NY, June 2017
- Stateless Puzzles for Real Time Online Fraud Preemption
Mizanur Rahman, Ruben Recabarren, Bogdan Carbunar, Dongwon Lee
9th Int’l ACM Web Science Conf. (WebSci), Troy, NY, June 2017
- Uncovering Fake Likers in Online Social Networks
Prudhvi Ratna Badri Satya, Kyumin Lee, Dongwon Lee, Thanh Tran, Jason (Jiasheng) Zhang
25th ACM Int'l Conf. on Information and Knowledge Management (CIKM), Indianapolis, IN, October 2016
- "Teens are from Mars, Adults are from Venus": Analyzing and Predicting Age Groups with Behavioral Characteristics in Instagram
Kyungsik Han, Sanghack Lee, Jin Yea Jang, Yong Jung, Dongwon Lee
8th Int’l ACM Web Science Conf. (WebSci), Hannover, Germany, May 2016
Acceptance Rate: 18.6%
- Likeology: Modeling, Predicting, and Aggregating Likes in Social Media
Dongwon Lee
8th Int’l ACM Web Science Conf. (WebSci), Hannover, Germany, May 2016 (Tutorial)
- Mining Personal Traits in Social Media
Aron Culotta, Dongwon Lee
16th SIAM Int’l Conf. on Data Mining (SDM), Miami, FL, May 2016 (Tutorial)
- LIKE and Recommendation in Social Media
Dongwon Lee, Huan Liu
24th Int'l World Wide Web Conf. (WWW), Florence, Italy, May 2015 (Tutorial)
- Improving Prediction, Recommendation, and Classification using User-Generated Contents and Relationships
Hau-Wen Chang
Ph.D. Dissertation, The Pennsylvania State University, May 2015
- Recommendation of Newly Published Research Papers using Belief Propagation
Jiwoon Ha, Soon-Hyoung Kwon, Sang-Wook Kim, Dongwon Lee
ACM Research in Adaptive and Convergent Systems (RACS) , Baltimore, MD, October 2014
- Exploiting User-Generated Data for Knowledge Discovery and Recommendation
Haibin Liu
Ph.D. Dissertation, The Pennsylvania State University, July 2014
- Mining Texts and Social Users using Time Series and Latent Topics
Tao Yang
Ph.D. Dissertation, The Pennsylvania State University, May 2014
- Quantifying Political Legitimacy from Twitter
Haibin Liu, Dongwon Lee
Int'l Conf. on Social Computing, Behavioral Modeling, and Prediction (SBP), Washington DC, USA, April 2014
Acceptance Rate: 22.8% (23/101)
- Alleviating the Sparsity in Collaborative Filtering using Crowdsourcing
Jongwuk Lee, Myungha Jang, Dongwon Lee, Won-Seok Hwang, Jiwon Hong, Sang-Wook Kim
ACM RecSys Int'l Workshop on Crowdsourcing and Human Computation for Recommender Systems (CrowdRec), Hong Kong, China, October 2013
- On Handling Textual Errors in Latent Document Modeling
Tao Yang, Dongwon Lee
22nd ACM Int'l Conf. on Information and Knowledge Management (CIKM), Burlingame, CA, USA, October 2013
Acceptance Rate: 16.8% (143/848)
- Steeler Nation, 12th Man, and Boo Birds: Classifying Twitter User Interests using Time Series
Tao Yang, Dongwon Lee, Su Yan
IEEE/ACM Int'l Conf. on Advances in Social Networks Analysis and Mining (ASONAM), Niagara Falls, Canada, August 2013
Acceptance Rate: 12.8% (54/422)
- Mining User Generated Contents on the Web and Social Networks
Shu Huang
Ph.D. Dissertation, The Pennsylvania State University, June 2013
- Sentiment and Topic Analysis on Social Media: A Multi-Task Multi-Label Classification Approach
Shu Huang, Wei Peng, Jingxuan Li, Dongwon Lee
ACM Web Science Conf. (WebSci), Paris, France, May 2013
- Location Type Classification Using Tweet Content
Haibin Liu, Bo Luo, Dongwon Lee
11th IEEE Int'l Conf. on Machine Learning and Applications (ICMLA), Boca Raton, FL, USA, December 2012
- Predicting Aggregate Social Activities using Continuous-Time Stochastic Process
Shu Huang, Min Chen, Bo Luo, Dongwon Lee
21st ACM Int'l Conf. on Information and Knowledge Management (CIKM), Maui HI, USA, October 2012
Acceptance Rate: 13.4% (146/1088)
- @Phillies Tweeting from Philly? Predicting Twitter User Locations with Spatial Word Usage
Hau-Wen Chang, Dongwon Lee, Mohammed Eltaher, Jeongkyu Lee
IEEE/ACM Int'l Conf. on Advances in Social Networks Analysis and Mining (ASONAM), Istanbul, Turkey, August 2012
- Scalable Clustering Methods for the Name Disambiguation Problem
Byung-Won On, Ingyu Lee, Dongwon Lee
Knowledge and Information Systems (KAIS), Vol. 31, No. 1, page 129-151, 2012
- Semi-Supervised Dimensionality Reduction for Analyzing High-Dimensional Data with Constraints
Su Yan, Sofien Bouaziz, Dongwon Lee, Jesse Barlow
Neurocomputing, Vol. 76, No. 1, page 114-124, 2012
- Exploring Activity Features in Predicting Social Network Evolution
Shu Huang, Dongwon Lee
10th IEEE Int'l Conf. on Machine Learning and Applications (ICMLA), Honolulu, HI, USA, December 2011
- Towards Noise-Resilient Document Modeling
Tao Yang, Dongwon Lee
20th ACM Int'l Conf. on Information and Knowledge Management (CIKM), Glasgow, Scotland, October 2011
- Using Co-views Information to Learn Lecture Recommendations
Haibin Liu, Sujatha Das Gollapalli, Dongwon Lee, Prasenjit Mitra, C. Lee Giles
ECML/PKDD Discovery Challenge Workshop, September 2011
- Topic Oriented Evolution and Sentiment Analysis
Bi Chen
Ph.D. Dissertation, The Pennsylvania State University, March 2011
- CostCo: Robust Content and Structure Constrained Clustering of Networked Documents
Su Yan, Dongwon Lee, Alex Wang
12th Int'l Conf. on Intelligent Text Processing and Computational Linguistics (CICLing), Tokyo, Japan, February 2011
Acceptance Rate: 24% (47/298)
- DSP: Robust Semi-Supervised Dimensionality Reduction using Dual Subspace Projections
Su Yan, Sofien Bouaziz, Dongwon Lee
IEEE/WIC/ACM Int'l Conf. on Web Intelligences (WI), Toronto, Canada, September 2010
Acceptance Rate: 16.6% (52/313)
- Semi-Supervised Clustering for High Dimensional and Sparse Features
Su Yan
Ph.D. Dissertation, The Pennsylvania State University, August 2010
- What is Opinion About? Exploring Political Standpoints using Opinion Scoring Model
Bi Chen, Leilei Zhu, Daniel Kifer, Dongwon Lee
24th AAAI Conf. on Artificial Intelligence (AAAI), Atlanta, GA, July 2010
Acceptance Rate: 26.9% (264/982)
- High-Performance Record Linkage
Hung-sik Kim
Ph.D. Dissertation, The Pennsylvania State University, May 2010
- T3: On Mapping Text To Time Series
Tao Yang, Dongwon Lee
The Alberto Mendelzon Int'l Workshop on
Foundations of Data Management (AMW), Arequipa, Peru, May 2009
- Pairwise Constrained Clustering for Sparse and High Dimensional Feature Spaces
Su Yan, Hai Wang, Dongwon Lee, C. Lee Giles
13th Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD), Bangkok, Thailand, April 2009
Acceptance Rate: 21.3% (72/338)
- Effective Solutions for Name Linkage and their Applications
Ergin Elmacioglu
Ph.D. Dissertation, The Pennsylvania State University, August 2008
- HICCUP: Hierarchical Clustering Based Value Imputation using
Heterogeneous Gene Expression Microarray Datasets
Qiankun Zhao, Prasenjit Mitra, Dongwon Lee, Jaewoo Kang
7th IEEE Int'l Symp. on BioInformatics and BioEngineering (BIBE), Boston, MA, USA, October 2007
Acceptance Rate: 13% (65/500)
- PSNUS: Web People Name Disambiguation by Simple
Clustering with Rich Features
Ergin Elmacioglu, Yee Fan Tan, Su Yan, Min-Yen Kan, Dongwon Lee
4th Int'l Workshop on Semantic Evaluation (SemEval), page 268-271, Prague, Czech Republic, June 2007
(Second Runner-up for Web People Search Track Competition)
- Measuring Conference Quality by Mining
Program Committee Characteristics
Ziming Zhuang, Ergin Elmacioglu, Dongwon Lee, C. Lee Giles
ACM/IEEE Joint Conf. on Digital Libraries (JCDL), page 225-234, Vancouver, BC, Canada, June 2007
Acceptance Rate: 33% (44/131)
- Data Cleaning Techniques by means of Entity Resolution
Byung-Won On
Ph.D. Dissertation, The Pennsylvania State University, May 2007
- Scalable Name Disambiguation using Multi-level Graph
Partition
Byung-Won On, Dongwon Lee
SIAM Int'l Conf. on Data Mining (SDM), page 575-580, Minneapolis, MN, USA, April 2007
Acceptance Rate: 25% (75/300)
- Group Linkage
Byung-Won On, Nick Koudas, Dongwon Lee, Divesh Srivastava
IEEE 23rd Int'l Conf. on Data Engineering (ICDE), page 496-505, Istanbul, Turkey, April 2007
Acceptance Rate: 18% (122/659)
- Improving Grouped-Entity Resolution using Quasi-Cliques
Byung-Won On, Ergin Elmacioglu, Dongwon Lee, Jaewoo Kang, Jian Pei
IEEE Int'l Conf. on Data Mining (ICDM), page 1008-1015, Hong Kong, China, December 2006
Acceptance Rate: 19% (152/800)
- Multivariate Stream Data Classification Using Simple Text
Classifiers
Sungbo Seo, Jaewoo Kang, Dongwon Lee, Keun Ho Ryu
17th Int'l Conf. on Database and Expert Systems Applications (DEXA), page 420-429, Krakow, Poland, September 2006
Acceptance Rate: 23% (90/388)
- An Effective Approach to Entity Resolution Problem Using Quasi-Clique and its Application to Digital Libraries
Byung-Won On, Ergin Elmacioglu, Dongwon Lee, Jaewoo Kang, Jian Pei
ACM/IEEE Joint Conf. on Digital Libraries (JCDL), page 51-52, Chapel Hill, NC, USA, June 2006
- Search Engine Driven Author Disambiguation
Yee Fan Tan, Min-Yen Kan, Dongwon Lee
ACM/IEEE Joint Conf. on Digital Libraries (JCDL), page 314-315, Chapel Hill, NC, USA, June 2006
- Establishing Value Mappings Using Statistical Models and User Feedback
Jaewoo Kang, Tae Sik Han, Dongwon Lee, Prasenjit Mitra
14th ACM Int'l Conf. on Information and Knowledge Management (CIKM), page 68-75, Bremen, Germany, November 2005
Acceptance Rate: 18% (76/425)
- Identifying Value Mappings for Data Integration: an Unsupervised Approach
Jaewoo Kang, Dongwon Lee, Prasenjit Mitra
6th International Conf. on Web Information Systems Engineering (WISE), page 544-551, New York, NY, USA, November 2005
Acceptance Rate: 21%
- Effective and Scalable Solutions for Mixed and Split Citation
Problems in Digital Libraries
Dongwon Lee, Byung-Won On, Jaewoo Kang, Sanghyun Park
ACM SIGMOD Workshop on Information Quality in Information Systems (IQIS), page 69-76, Baltimore, MD, USA, June 2005
Acceptance Rate: 42% (11/26)
- Comparative Study of Name Disambiguation Problem using a Scalable Blocking-based Framework
Byung-Won On, Dongwon Lee, Jaewoo Kang, Prasenjit Mitra
ACM/IEEE Joint Conf. on Digital Libraries (JCDL), page 344-353, Denver, CO, USA, June 2005
Acceptance Rate: 21% (59/270)
Digital Libraries
- Gatekeeper: Analyzing G-Indexes and Improving Service Quantification
Jingtao Han, Spyke Krepshaw, Dongwon Lee
20th ACM/IEEE Joint Conf. on Digital Libraries (JCDL), Virtual Event, August 2020
- Gatekeeper: Quantifying the Impacts of Service to the Scientific Community
Spyke Krepshaw, Dongwon Lee
23rd Int'l Conf. on Theory and Practice of Digital Libraries (TPDL), Oslo, Norway, September 2019
- Toward Mobile-Friendly Libraries: The Status Quo
Dongwon Lee
16th Int'l Conf. on Theory and Practice of Digital Libraries (TPDL), Paphos, Cyprus, September 2012
Acceptance Rate: 18% (23/128)
- Oracle, Where Shall I Submit My Papers?
Ergin Elmacioglu, Dongwon Lee
ACM Comm. of the ACM (CACM), Vol. 52, No. 2, page 115-118, February 2009
- DL2Go: Editable Digital Libraries in the Pocket
Hyunyoung Kil, Wonhong Nam, Dongwon Lee
Int'l Conf. on Asia-Pacific Digital Libraries (ICADL), Bali, Indonesia, December 2008
- LeeDeo: Web-Crawled Academic Video Search Engine
Dongwon Lee, Hung-sik Kim, Eun Kyung Kim, Su Yan, Johnny Chen, Jeongkyu Lee
IEEE Int'l Workshop on Data Semantics for Multimedia Systems and Applications (DSMSA), Berkeley, CA, USA, December 2008
- Effective Solutions for Name Linkage and their Applications
Ergin Elmacioglu
Ph.D. Dissertation, The Pennsylvania State University, August 2008
- Efficient Web-Based Linkage of Short to Long Forms
Yee Fan Tan, Ergin Elmacioglu, Min-Yen Kan, Dongwon Lee
11th Int'l Workshop on Web and Databases (WebDB), Vancouver, Canada, June 2008
- The ACL Anthology Reference Corpus: A Reference Dataset for
Bibliographic Research in Computational Linguistics
Steven Bird, Robert Dale, Bonnie Dorr, Bryan Gibson, Mark Joseph, Min-Yen Kan, Dongwon Lee, Brett Powley, Dragomir Radev, Yee Fan Tan
Int'l Conf. on Language Resources and Evaluation (LREC), Marrakech, Morocco, May 2008
- Are Your Citations Clean?
Dongwon Lee, Jaewoo Kang, Prasenjit Mitra, C. Lee Giles, Byung-Won On
ACM Comm. of the ACM (CACM), Vol. 50, No. 12, page 33-38, December 2007
- PSNUS: Web People Name Disambiguation by Simple
Clustering with Rich Features
Ergin Elmacioglu, Yee Fan Tan, Su Yan, Min-Yen Kan, Dongwon Lee
4th Int'l Workshop on Semantic Evaluation (SemEval), page 268-271, Prague, Czech Republic, June 2007
(Second Runner-up for Web People Search Track Competition)
- Measuring Conference Quality by Mining
Program Committee Characteristics
Ziming Zhuang, Ergin Elmacioglu, Dongwon Lee, C. Lee Giles
ACM/IEEE Joint Conf. on Digital Libraries (JCDL), page 225-234, Vancouver, BC, Canada, June 2007
Acceptance Rate: 33% (44/131)
- Toward Alternative Measures for Ranking Venues: A Case
of Database Research Community
Su Yan, Dongwon Lee
ACM/IEEE Joint Conf. on Digital Libraries (JCDL), page 235-244, Vancouver, BC, Canada, June 2007
Acceptance Rate: 33% (44/131)
- Adaptive Sorted Neighborhood Methods for Efficient
Record Linkage
Su Yan, Dongwon Lee, Min-Yen Kan, C. Lee Giles
ACM/IEEE Joint Conf. on Digital Libraries (JCDL), page 185-194, Vancouver, BC, Canada, June 2007
Acceptance Rate: 33% (44/131)
- Data Cleaning Techniques by means of Entity Resolution
Byung-Won On
Ph.D. Dissertation, The Pennsylvania State University, May 2007
- Scalable Name Disambiguation using Multi-level Graph
Partition
Byung-Won On, Dongwon Lee
SIAM Int'l Conf. on Data Mining (SDM), page 575-580, Minneapolis, MN, USA, April 2007
Acceptance Rate: 25% (75/300)
- An Effective Approach to Entity Resolution Problem Using Quasi-Clique and its Application to Digital Libraries
Byung-Won On, Ergin Elmacioglu, Dongwon Lee, Jaewoo Kang, Jian Pei
ACM/IEEE Joint Conf. on Digital Libraries (JCDL), page 51-52, Chapel Hill, NC, USA, June 2006
- Search Engine Driven Author Disambiguation
Yee Fan Tan, Min-Yen Kan, Dongwon Lee
ACM/IEEE Joint Conf. on Digital Libraries (JCDL), page 314-315, Chapel Hill, NC, USA, June 2006
- OpenArXiv = arXiv + RDBMS + Web Services
Justin Fisher, Hyunyoung Kil, Dongwon Lee
ACM/IEEE Joint Conf. on Digital Libraries (JCDL), page 374, Chapel Hill, NC, USA, June 2006 (Demo)
- Comparative Study of Name Disambiguation Problem using a Scalable Blocking-based Framework
Byung-Won On, Dongwon Lee, Jaewoo Kang, Prasenjit Mitra
ACM/IEEE Joint Conf. on Digital Libraries (JCDL), page 344-353, Denver, CO, USA, June 2005
Acceptance Rate: 21% (59/270)
- PaSE: Locating Online Copy of Scientific Documents Effectively
Byung-Won On, Dongwon Lee
7th Int'l Conf. of Asian Digital Libraries (ICADL), page 408-418, Shanghai, China, December 2004
Acceptance Rate: 16% (59/359)
- System Support for Name Authority Control Problem in Digital Libraries: OpenDBLP Approach
Yoojin Hong, Byung-Won On, Dongwon Lee
8th European Conf. on Digital Libraries (ECDL), page 134-144, Bath, UK, September 2004
Acceptance Rate: 29% (43/148)
Education
- Investigating the Impact of Skill-Related Videos on Online Learning
Ethan Prihar, Aaron Haim, Jia Tracy Shen, Adam Sales, Dongwon Lee, Xintao Wu, Neil Heffernan
The ACM Learning at Scale Conf. (L@S), Copenhagen, Denmark, July 2023
- Classifying Math Knowledge Components via Task-Adaptive Pre-Trained BERT
Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil Heffernan, Xintao Wu, Sean McGrew, Dongwon Lee
22nd Int'l Conf. on Artificial Intelligence in Education (AIED), Virtual Event, June 2021
Acceptance Rate: 24% (40/168)
- Virtual World-Based Information Security Learning: Design and Evaluation
Jungwoo Ryoo, Angsana Techatassanasoontorn, Dongwon Lee
J. of Info. Science Theory and Practice, Vol. 4, No. 3, page 6-27, September 2016
- Game-based InfoSec Education Using OpenSim
Jungwoo Ryoo, Angsana Techatassanasoontorn, Dongwon Lee, Jeremy Lothian
15th Colloquium for Information Systems Security Education (CISSE), Fairborn, OH, June 2011
- Security Education using Second Life
Jungwoo Ryoo, Angsana Techatassanasoontorn, Dongwon Lee
IEEE Security & Privacy, Vol. 7, No. 2, page 72-75, March 2009
- Tablet PC Use and Impact on Learning in Technology and Engineering Classrooms: A Preliminary Study
Sven Bilen, Dongwon Lee, John Messner, Hien Nguyen, Timothy Simpson, Angsana Techatassanasoontorn, Richard Devon
Workshop on the Impact of Pen-Based Technology on Education (WIPTE), West Lafayette, IN, October 2008
Multimedia
- Comparative Study on Subject Classification of Academic Videos using Noisy Transcripts
Hau-Wen Chang, Hung-sik Kim, Shuyang Li, Jeongkyu Lee, Dongwon Lee
IEEE Int'l Conf. on Semantic Computing (ICSC), Pittsburgh, PA, September 2010
- BASIL: Effective Near-Duplicate Image Detection using Gene Sequence
Alignment
Hung-sik Kim, Hau-Wen Chang, Jeongkyu Lee, Dongwon Lee
The 32nd European Conf. on Information Retrieval (ECIR), Milton Keynes, UK, March 2010
Acceptance Rate: 22%
- BIM: Image Matching using Biological Gene Sequence Alignment
Hung-sik Kim, Hau-Wen Chang, Haibin Liu, Jeongkyu Lee, Dongwon Lee
IEEE Int'l Conf. on Image Processing (ICIP), Cairo, Egypt, November 2009
- LeeDeo: Web-Crawled Academic Video Search Engine
Dongwon Lee, Hung-sik Kim, Eun Kyung Kim, Su Yan, Johnny Chen, Jeongkyu Lee
IEEE Int'l Workshop on Data Semantics for Multimedia Systems and Applications (DSMSA), Berkeley, CA, USA, December 2008
- Video Linkage: Group Based Copied Video Detection
Hung-sik Kim, Jeongkyu Lee, Haibin Liu, Dongwon Lee
ACM Int'l Conf. on Image and Video Retrieval (CIVR), Niagara Falls, Canada, July 2008
Acceptance Rate: 34% (42/123)
Social Computing
- ChamberBreaker: Mitigating the Echo Chamber Effect and Supporting Information Hygiene through a Gamified Inoculation System
Youngseung Jeon, Bogoan Kim, Aiping Xiong, Dongwon Lee, Kyungsik Han
24th ACM Conf. on Computer-Supported Cooperative Work and Social Computing (CSCW), Virtual Event, October 2021
- Does Clickbait Actually Attract More Clicks? Three Clickbait Studies You Must Read
Maria Molina, S. Shyam Sundar, Md Main Uddin Rony, Naeemul Hassan, Thai Le, Dongwon Lee
ACM Conf. on Human Factors in Computing Systems (CHI), Virtual Event, May 2021
Acceptance Rate: 26.3% (749/2,844)
- Beyond Cognitive Ability: Susceptibility to Fake News Is Also
Explained by Associative Inference
Sian Lee, Haeseung Seo, Joshua Forrest, Dongwon Lee, Jessica Strait, Aiping Xiong
ACM Conf. on Human Factors in Computing Systems (CHI), April 2020 (Extended Abstract)
- "Fake News" is Not Simply False Information: A
Concept Explication and Taxonomy of Online Content
Maria Molina, S. Shyam Soundar, Thai Le, Dongwon Lee
American Behavioral Scientist, page 1-33, October 2019
- Trust It or Not: Effects of Machine-Learning Warnings in Helping Individuals Mitigate Misinformation
Haeseung Seo, Aiping Xiong, Dongwon Lee
11th Int'l ACM Web Science Conf. (WebSci), Boston, MA, July 2019
- How Gullible Are You? Predicting Susceptibility to Fake News
Jia Tracy Shen, Robert Cowell, Adita Gupta, Thai Le, Amulya Yadav, Dongwon Lee
11th Int'l ACM Web Science Conf. (WebSci), Boston, MA, July 2019
- "Is a Picture Really Worth a Thousand Words?": A Case Study on Classifying User Attributes on Instagram
Jungho Song, Kyungsik Han, Dongwon Lee, Sang-Wook Kim
PLOS ONE, Vol. 13, No. 10, page 1-22, October 2018
- Understanding User’s Privacy Attitudes through Subjective and Objective Assessments: An Instagram Case Study
Kyungsik Han, Hyunggu Jeong, Jin Yea Jang, Dongwon Lee
IEEE Computer, Vol. 51, No. 6, page 18-28, June 2018
- ROAR: Robust Label Ranking for Social Emotion Mining
Jason (Jiasheng) Zhang, Dongwon Lee
32nd AAAI Conf. on Artificial Intelligence (AAAI), New Orleans, LA, February 2018
Acceptance Rate: 24.6% (933/3,800)
- Understanding Temporal Backing Patterns in Online Crowdfunding Communities
Yiming Liao, Thanh Tran, Dongwon Lee, Kyumin Lee
9th Int’l ACM Web Science Conf. (WebSci), Troy, NY, June 2017
- Wearing Many (Social) Hats: How Different are Your Different Social Network Personae?
Changtao Zhong, Hau-wen Chang, Dmytro Karamshuk, Dongwon Lee, Nishanth Sastry
11th Int'l AAAI Conf. on Web and Social Media (ICWSM), Montreal, Canada, May 2017
Acceptance Rate: 13.7% (49/357)
- Teens Engage More with Fewer Photos: Temporal and Comparative Analysis on Behaviors in Instagram
Jin Yea Jang, Kyungsik Han, Dongwon Lee, Haiyan Jia, Patrick C. Shih
27th ACM Conf. on Hypertext and Social Media (HT), Halifax, Canada, July 2016
Acceptance Rate: 29.6%
- "Teens are from Mars, Adults are from Venus": Analyzing and Predicting Age Groups with Behavioral Characteristics in Instagram
Kyungsik Han, Sanghack Lee, Jin Yea Jang, Yong Jung, Dongwon Lee
8th Int’l ACM Web Science Conf. (WebSci), Hannover, Germany, May 2016
Acceptance Rate: 18.6%
- Likeology: Modeling, Predicting, and Aggregating Likes in Social Media
Dongwon Lee
8th Int’l ACM Web Science Conf. (WebSci), Hannover, Germany, May 2016 (Tutorial)
- Mining Personal Traits in Social Media
Aron Culotta, Dongwon Lee
16th SIAM Int’l Conf. on Data Mining (SDM), Miami, FL, May 2016 (Tutorial)
- Teens in Social Media: Data-Driven Comparative Analysis on Behaviors in Instagram
Jin Yea Jang
M.S. Thesis, The Pennsylvania State University, March 2016
- No Reciprocity in "Liking" Photos: Analyzing Like Activities in Instagram
Jin Yea Jang, Kyungsik Han, Dongwon Lee
26th ACM Conf. on Hypertext and Social Media (HT), Cyprus, September 2015
- LIKE and Recommendation in Social Media
Dongwon Lee, Huan Liu
24th Int'l World Wide Web Conf. (WWW), Florence, Italy, May 2015 (Tutorial)
- Generation LIKE: Comparative Characteristics in Instagram
Jin Yea Jang, Kyungsik Han, Patrick C. Shih, Dongwon Lee
ACM Conf. on Human Factors in Computing Systems (CHI), Seoul, Korea, April 2015
Acceptance Rate: 23% (494/2150)
- Exploring Tag-based Like Networks
Kyungsik Han, Jin Yea Jang, Dongwon Lee
ACM Conf. on Human Factors in Computing Systems (CHI), Seoul, Korea, April 2015 (Extended Abstract)
Acceptance Rate: 45.3% (240/529)
Web Services
- Behavioral Description Based Web Service Composition Using Abstraction and Refinement
Hyunyoung Kil, Wonhong Nam, Dongwon Lee
Int'l J. of Web and Grid Services (IJWGS), Vol. 9, No. 1, page 54-81, 2013
- Large-Scale Longitudinal Analysis of SOAP-Based and RESTful Web Services
Wei Jiang, Dongwon Lee, Songlin Hu
19th IEEE Int'l Conf. on Web Services (ICWS), Honolulu HI, USA, June 2012
Acceptance Rate: 17% (30/180)
- Continuous Query for QoS-Aware Automatic Service Composition
Wei Jiang, Songlin Hu, Dongwon Lee, Shuai Gong, Zhiyong Liu
19th IEEE Int'l Conf. on Web Services (ICWS), Honolulu HI, USA, June 2012
Acceptance Rate: 17% (30/180)
- Scenario Analysis of Web Service Composition based on Multi-Criteria Mathematical Programming
LiYing Cui, Soundar Kumara, Dongwon Lee
INFORMS Service Science, Vol. 3, No. 4, page 280-303, December 2011
(INFORMS Service Science Finalist Best Paper Award)
- On the Computational Complexity of Behavioral
Description-Based Web Service Composition
Wonhong Nam, Hyunyoung Kil, Dongwon Lee
Theoretical Computer Science (TCS), Vol. 412, No. 48, page 6736-6749, November 2011
- Efficient Web Service Composition: From Signature-Level to Behavioral Description-Level
Hyunyoung Kil
Ph.D. Dissertation, The Pennsylvania State University, November 2010
- Efficient Abstraction and Refinement for Behavioral Description Based Web Service
Composition
Hyunyoung Kil, Wonhong Nam, Dongwon Lee
21st Int'l Joint Conf. on Artificial Intelligence (IJCAI), Pasadena, CA, USA, July 2009
Acceptance Rate: 25.7% (331/1290)
- Graph Theoretic Topological Analysis of Web Service Networks
Hyunyoung Kil, Seog-Chan Oh, Ergin Elmacioglu, Wonhong Nam, Dongwon Lee
World Wide Web J. Vol. 12, No. 3, page 321-343, June 2009
- Automatic Web Service Composition with Abstraction and Refinement
Hyunyoung Kil, Wonhong Nam, Dongwon Lee
Int'l World Wide Web Conf. (WWW), Madrid, Spain, April 2009
- WSBen: A Web Services Discovery and Composition Benchmark Toolkit
Seog-Chan Oh, Dongwon Lee
Int'l J. of Web Services Research (JWSR), Vol. 6, No. 1, page 1-19, January 2009
- Computational Complexity of Web Service Composition Based on Behavioral Descriptions
Hyunyoung Kil, Wonhong Nam, Dongwon Lee
20th IEEE Int'l Conf. on Tools with Artificial Intelligence (ICTAI), Dayton, OH, USA, November 2008
- Type-Aware Web-Service Composition using Boolean Satisfiability Solver
Wonhong Nam, Hyunyoung Kil, Dongwon Lee
IEEE Int'l Conf. on e-Technology, e-Commerce and e-Service (EEE), Washington DC, USA, July 2008
- A Web Service Composition Framework using Integer Programming with Non-Functional Objectives and Constraints
Jung-Woon Yoo, Soundar Kumara, Dongwon Lee, Seog-Chan Oh
IEEE Int'l Conf. on e-Technology, e-Commerce and e-Service (EEE), Washington DC, USA, July 2008
(Second Runner-up for Web Services Challenge Performance Track)
- Effective Web Service Composition in Diverse and Large-Scale Service Networks
Seog-Chan Oh, Dongwon Lee, Soundar Kumara
IEEE Trans. on Services Computing (TSC), Vol. 1, No. 1, page 15-32, 2008
- Semantic Web-Service Discovery and Composition Using Flexible Parameter Matching
Seog-Chan Oh, Jung-Woon Yoo, Hyunyoung Kil, Dongwon Lee, Soundar Kumara
IEEE Int'l Conf. on e-Technology, e-Commerce and e-Service (EEE), page 533-542, Tokyo, Japan, July 2007
(Second Runner-up for Web Services Challenge Architecture Track)
- Web Service Planner (WSPR): An Effective and Scalable Web
Service Composition Algorithm
Seog-Chan Oh, Dongwon Lee, Soundar Kumara
Int'l J. of Web Services Research (JWSR), Vol.4, No.1, page 1-23, January 2007 (Invited for being the 1st Runner-Up of Web Services Challenge Competition @ IEEE ICEBE 2005)
- Effective Web Service Composition in Diverse and Large Scale Service
Networks
Seog-Chan Oh
Ph.D. Dissertation, The Pennsylvania State University, October 2006
- On the Topological Landscape of Web Services Matchmaking
Hyunyoung Kil, Seog-Chan Oh, Dongwon Lee
VLDB Int'l Workshop on
Semantic Matchmaking and Resource Retrieval (SMR), page 19-34, Seoul, Korea, September 2006
- WSBen: A Web Services Discovery and Composition Benchmark
Seog-Chan Oh, Hyunyoung Kil, Dongwon Lee, Soundar Kumara
IEEE Int'l Conf. on Web Services (ICWS), page 239-246, Chicago, IL, USA, September 2006
Acceptance Rate: 18% (48/261)
- Algorithms for Web Services Discovery and Composition based on Syntactic and Semantic Service Descriptions
Seog-Chan Oh, Hyunyoung Kil, Dongwon Lee, Soundar Kumara
IEEE Int'l Conf. on e-Technology, e-Commerce and e-Service (EEE), page 66-69, San Fransico, CA, USA, June 2006 (Web Services Challenge Competiton)
- OpenArXiv = arXiv + RDBMS + Web Services
Justin Fisher, Hyunyoung Kil, Dongwon Lee
ACM/IEEE Joint Conf. on Digital Libraries (JCDL), page 374, Chapel Hill, NC, USA, June 2006 (Demo)
- A Comparative Illustration of AI Planning-based Web Services Composition
Seog-Chan Oh, Dongwon Lee, Soundar Kumara
ACM SIGecom Exchanges, Vol. 5, No. 5, page 1-10, December 2005
- MISQ: A Framework to Analyze and Optimize Web Service Composition in Business Service Networks
Seog-Chan Oh, Dongwon Lee, Soundar Kumara
Int'l J. of Cases on Electronic Commerce (IJCEC),
Vol. 1, No. 4, page 36-56, October 2005 (Invited)
- Flexible Web Services Discovery and Composition using
SATPlan and A* Algorithms
Seog-Chan Oh, Dongwon Lee, Soundar Kumara
Modeling Decisions for Artificial Intelligence Conf. (MDAI), Tsukuba, Japan, July 2005
- MISQ: A UML-based Analytical Modeling Methodology for Optimizing Web Service Composition
Seog-Chan Oh, Dongwon Lee, Soundar Kumara
IEEE Int'l Workshop on Business Services Networks (BSN), Hong Kong, China, March 2005
- Pollock: Automatic Generation of Virtual Web Services from Web Sites
Yi-Hsuan Lu, Yoojin Hong, Jinesh Varia, Dongwon Lee
20th ACM Symp. on Applied Computing (SAC), page 1650-1655, Santa Fe, NM, USA, March 2005
Acceptance Rate: 36% (275/764)
- BF*: Web Services Discovery and Composition as Graph Search Problem
Seog-Chan Oh, Byung-Won On, Eric J. Larson, Dongwon Lee
IEEE Int'l Conf. on e-Technology, e-Commerce and e-Service (EEE), page 784-786, Hong Kong, China, March 2005
Acceptance Rate: 21% (62/297) (First Runner-up for Web Services Composition Competition @ IEEE ICEBE 2005)
World-Wide Web
- Uncovering Fake Likers in Online Social Networks
Prudhvi Ratna Badri Satya, Kyumin Lee, Dongwon Lee, Thanh Tran, Jason (Jiasheng) Zhang
25th ACM Int'l Conf. on Information and Knowledge Management (CIKM), Indianapolis, IN, October 2016
- Steeler Nation, 12th Man, and Boo Birds: Classifying Twitter User Interests using Time Series
Tao Yang, Dongwon Lee, Su Yan
IEEE/ACM Int'l Conf. on Advances in Social Networks Analysis and Mining (ASONAM), Niagara Falls, Canada, August 2013
Acceptance Rate: 12.8% (54/422)
- Sentiment and Topic Analysis on Social Media: A Multi-Task Multi-Label Classification Approach
Shu Huang, Wei Peng, Jingxuan Li, Dongwon Lee
ACM Web Science Conf. (WebSci), Paris, France, May 2013
- Predicting Aggregate Social Activities using Continuous-Time Stochastic Process
Shu Huang, Min Chen, Bo Luo, Dongwon Lee
21st ACM Int'l Conf. on Information and Knowledge Management (CIKM), Maui HI, USA, October 2012
Acceptance Rate: 13.4% (146/1088)
- Characterizing Landing Pages in Sponsored Search
Haibin Liu, Woo-Cheol Kim, Dongwon Lee
8th Latin American Web Congress (LA-WEB), Cartagena, Colombia, October 2012
- @Phillies Tweeting from Philly? Predicting Twitter User Locations with Spatial Word Usage
Hau-Wen Chang, Dongwon Lee, Mohammed Eltaher, Jeongkyu Lee
IEEE/ACM Int'l Conf. on Advances in Social Networks Analysis and Mining (ASONAM), Istanbul, Turkey, August 2012
- Efficient Web Service Composition: From Signature-Level to Behavioral Description-Level
Hyunyoung Kil
Ph.D. Dissertation, The Pennsylvania State University, November 2010
- Efficient Web-Based Linkage of Short to Long Forms
Yee Fan Tan, Ergin Elmacioglu, Min-Yen Kan, Dongwon Lee
11th Int'l Workshop on Web and Databases (WebDB), Vancouver, Canada, June 2008
- Pollock: Automatic Generation of Virtual Web Services from Web Sites
Yi-Hsuan Lu, Yoojin Hong, Jinesh Varia, Dongwon Lee
20th ACM Symp. on Applied Computing (SAC), page 1650-1655, Santa Fe, NM, USA, March 2005
Acceptance Rate: 36% (275/764)
- PaSE: Locating Online Copy of Scientific Documents Effectively
Byung-Won On, Dongwon Lee
7th Int'l Conf. of Asian Digital Libraries (ICADL), page 408-418, Shanghai, China, December 2004
Acceptance Rate: 16% (59/359)
- Towards Intelligent Semantic Caching for Web Sources
Dongwon Lee, Wesley W. Chu
J. Intelligent Information System (JIIS), Vol. 17, No. 1, page 23-45, November 2001
- Semantic Caching via Query Matching for Web Sources
Dongwon Lee, Wesley W. Chu
8th ACM Int'l Conf. on Information and Knowledge Management (CIKM), Kansas City, MO, USA, November 1999
Acceptance Rate: 40% (69/172)
- Conjunctive Point Predicate-based Semantic Caching for Wrappers in Web Database
Dongwon Lee, Wesley W. Chu
1st ACM Int'l Workshop on Web Information and Data Management (WIDM), Washington DC, USA, November 1998
Acceptance Rate: 54% (13/24)
- Generating Advanced Query Interfaces
Dongwon Lee, Divesh Srivastava, Dimitra Vista
7th Int'l World Wide Web Conf. (WWW), Australia, April 1998
XML
- XML Access Control
Dongwon Lee, Ting Yu
Encyclopedia of Database Systems (EDBS), Springer, page 3573-3576, New York, NY, USA, December 2009 (Invited)
- XML Access Control in Native and RDBMS-Supported XML Databases
Bo Luo
Ph.D. Dissertation, The Pennsylvania State University, August 2008
- Automaton Segmentation: A New Approach to Preserve Privacy in XML
Information Brokering
Fengjun Li, Bo Luo, Peng Liu, Dongwon Lee, Chao-Hsien Chu
14th ACM Conf. on Computer and Communication Security (CCS), Alexandria, VA, USA, October 2007
Acceptance Rate: 18% (55/303)
- Pragmatic XML Access Control using Off-the-shelf RDBMS
Bo Luo, Dongwon Lee, Peng Liu
12th European Symposium On Research In Computer Security
(ESORICS), Dresden, Germany, September 2007
Acceptance Rate: 23% (39/164)
- Security-Conscious XML Indexing
Yan Xiao, Bo Luo, Dongwon Lee
12th Int'l Conf. on Database Systems for Advanced
Applications (DASFAA), page 949-954, Bangkok, Thailand, April 2007
Acceptance Rate: 29.6% (111/375)
- Incremental Adaptation of XPath Access Control Views
Padmapriya Ayyagari, Prasenjit Mitra, Dongwon Lee, Peng Liu, Wang-Chien Lee
ACM Symp. on Information, Computer and Communications Security (ASIACCS), page 105-116, Singapore, March 2007
Acceptance Rate: 18% (32/182)
- Taxonomy of XML Schema Languages using Formal
Language Theory
Makoto Murata, Dongwon Lee, Murali Mani, Kohsuke Kawaguchi
ACM Trans. on Internet Technology (TOIT), Vol. 5, No. 4, page 1-45, November 2005
- Deep Set Operators for XQuery
Bo Luo, Dongwon Lee, Wang-Chien Lee, Peng Liu
ACM SIGMOD Workshop on XQuery Implementation, Experience and Perspectives (XIME-P), Baltimore, MD, USA, June 2005
- QFilter: Fine-Grained Run-Time XML Access Control via NFA-based Query Rewriting
Bo Luo, Dongwon Lee, Wang-Chien Lee, Peng Liu
13th ACM Int'l Conf. on Information and Knowledge Management (CIKM), page 543-552, Washington DC, USA, November 2004
Acceptance Rate: 19% (60/303)
- A Flexible Framework for Architecting XML Access Control
Enforcement Mechanisms
Bo Luo, Dongwon Lee, Wang-Chien Lee, Peng Liu
VLDB Workshop on Secure Data Management in a Connected World (SDM), page 133-147, Toronto, Canada, August 2004
Acceptance Rate: 53% (15/28)
- Counting Relaxed Twig Matches in a Tree
Dongwon Lee, Divesh Srivastava
9th Int'l Conf. on Database Systems for Advanced Applications (DASFAA), page 88-99, Jeju Island, Korea, March 2004
Acceptance Rate: 22% (60/272)
- Supporting XML Security Models using Relational
Databases: A Vision
Dongwon Lee, Wang-Chien Lee, Peng Liu
XML Database Symposium (XSym), page 267-281, Berlin, Germany, September 2003
Acceptance Rate: 27% (18/65)
- Schema Conversions Methods between XML and Relational Models
Dongwon Lee, Murali Mani, Wesley W. Chu
Knowledge Transformation for the Semantic Web, IOS Press, page 1-17, Amsterdam, 2003 (Invited)
- NeT & CoT: Translating Relational Schemas to XML Schemas using Semantic Constraints
Dongwon Lee, Murali Mani, Frank Chiu, Wesley W. Chu
11th ACM Int'l Conf. on Information and Knowledge Management (CIKM), McLean, VA, USA, November 2002
Acceptance Rate: 24% (73/300)
- XML to Relational Conversion using Theory of Regular Tree Grammars
Murali Mani, Dongwon Lee
VLDB Workshop on Efficiency and Effectiveness of XML Tools, and Techniques (EEXTT), Hong Kong, China, August 2002
- Effective Schema Conversions between XML and Relational Models
Dongwon Lee, Murali Mani, Wesley W. Chu
European Conf. on Artificial Intelligence (ECAI), Knowledge Transformation Workshop (ECAI-OT), Lyon, France, July 2002 (Invited)
- Query Relaxation for XML Model
Dongwon Lee
Ph.D. Dissertation, University of California, Los Angeles, June 2002
- NeT & CoT: Inferring XML Schemas from Relational World
Dongwon Lee, Murali Mani, Frank Chiu, Wesley W. Chu
18th IEEE Int'l Conf. on Data Engineering (ICDE), San Jose, CA, USA, February 2002
Acceptance Rate: 19% (54/287)
- Semantic Data Modeling using XML Schemas
Murali Mani, Dongwon Lee, Richard D. Muntz
Int'l Conf. on Conceptual Modeling (ER), Yokohama, Japan, November 2001
Acceptance Rate: 21% (39/182)
- CPI: Constraints-Preserving Inlining Algorithm for Mapping XML DTD to Relational Schema
Dongwon Lee, Wesley W. Chu
J. Data and Knowledge Engineering (DKE), Vol. 39, No 1, page 3-25, October 2001 (Invited as the best paper of ER 2000)
- Taxonomy of XML Schema Languages using Formal Language Theory
Makoto Murata, Dongwon Lee, Murali Mani
Extreme Markup Languages, Montreal, Canada, August 2001
- Nesting-based Relational-to-XML Schema Translation
Dongwon Lee, Murali Mani, Frank Chiu, Wesley W. Chu
ACM SIGMOD Int'l Workshop on the Web and Databases (WebDB), Santa Barbara, CA, USA, May 2001
Acceptance Rate: 27% (18/65)
- Reasoning about XML Schema Languages using Formal Language Theory
Dongwon Lee, Makoto Murata, Murali Mani
IBM Almaden Research Technical Report, RJ#10197, Log#95071, November 2000
- Constraints-preserving Transformation from XML Document Type Definition to Relational Schema
Dongwon Lee, Wesley W. Chu
Int'l Conf. on Conceptual Modeling (ER), Salt Lake City, UT, USA, October 2000
Acceptance Rate: 26% (37/140) (Best Paper Award)
- Comparative Analysis of Six XML Schema Languages
Dongwon Lee, Wesley W. Chu
ACM SIGMOD Record, Vol. 29, No. 3, page 76-87, September 2000
|