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ORCIDDongwon Lee 0001
Person information
- affiliation: Pennsylvania State University, University Park, PA, USA
- affiliation (PhD 2002): University of California Los Angeles, CA, USA
Other persons with the same name
- Dongwon Lee (aka: Dong-won Lee, Dong-Won Lee, Dong Won Lee) — disambiguation page
- Dongwon Lee 0002
![[0000-0003-4826-1632]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4826-1632")
— Korea University, Business School, Seoul, South Korea (and 1 more) - Dongwon Lee 0003 — Georgia Institute of Technology, Atlanta, GA, USA
- Dongwon Lee 0004 — Hong Kong University of Science and Technology, Hong Kong (and 2 more)
- Dongwon Lee 0005 — New York University School of Medicine, Center for Human Genetics and Genomics, NY, USA (and 1 more)
- Dongwon Lee 0006 — KAIST, School of Electrical Engineering, Daejeon, Korea
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2020 – today
- 2023
[c158]Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu:
Tutorials at The Web Conference 2023. WWW (Companion Volume) 2023: 648-658- [c157]Jooyoung Lee, Thai Le, Jinghui Chen, Dongwon Lee:
Do Language Models Plagiarize? WWW 2023: 3637-3647 - [i30]Thai Le, Ye Yiran, Yifan Hu, Dongwon Lee:
CRYPTEXT: Database and Interactive Toolkit of Human-Written Text Perturbations in the Wild. CoRR abs/2301.06494 (2023) - [i29]Jia Tracy Shen, Dongwon Lee:
Imputing Knowledge Tracing Data with Subject-Based Training via LSTM Variational Autoencoders Frameworks. CoRR abs/2302.12910 (2023) - [i28]Yiran Ye, Thai Le, Dongwon Lee:
NoisyHate: Benchmarking Content Moderation Machine Learning Models with Human-Written Perturbations Online. CoRR abs/2303.10430 (2023) - [i27]Adaku Uchendu, Jooyoung Lee, Hua Shen, Thai Le, Ting-Hao Kenneth Huang, Dongwon Lee:
Understanding Individual and Team-based Human Factors in Detecting Deepfake Texts. CoRR abs/2304.01002 (2023) - 2022
- [c156]Maryam Tabar, Dongwon Lee, David P. Hughes, Amulya Yadav:
Mitigating Low Agricultural Productivity of Smallholder Farms in Africa: Time-Series Forecasting for Environmental Stressors. AAAI 2022: 12608-12614 - [c155]Thai Le, Jooyoung Lee, Kevin Yen, Yifan Hu, Dongwon Lee:
Perturbations in the Wild: Leveraging Human-Written Text Perturbations for Realistic Adversarial Attack and Defense. ACL (Findings) 2022: 2953-2965 - [c154]Thai Le, Noseong Park, Dongwon Lee:
SHIELD: Defending Textual Neural Networks against Multiple Black-Box Adversarial Attacks with Stochastic Multi-Expert Patcher. ACL (1) 2022: 6661-6674 - [c153]Joe McCalmon, Thai Le, Sarra Alqahtani, Dongwon Lee:
CAPS: Comprehensible Abstract Policy Summaries for Explaining Reinforcement Learning Agents. AAMAS 2022: 889-897 - [c152]Maryam Tabar, Wooyong Jung, Amulya Yadav, Owen Wilson Chavez, Ashley Flores, Dongwon Lee:
WARNER: Weakly-Supervised Neural Network to Identify Eviction Filing Hotspots in the Absence of Court Records. CIKM 2022: 3514-3523 - [c151]Yeon-Chang Lee, JaeHyun Lee, Dongwon Lee, Sang-Wook Kim:
THOR: Self-Supervised Temporal Knowledge Graph Embedding via Three-Tower Graph Convolutional Networks. ICDM 2022: 1035-1040 - [c150]Haeseung Seo, Aiping Xiong, Sian Lee, Dongwon Lee:
If You Have a Reliable Source, Say Something: Effects of Correction Comments on COVID-19 Misinformation. ICWSM 2022: 896-907 - [c149]Maryam Tabar, Wooyong Jung, Amulya Yadav, Owen Wilson Chavez, Ashley Flores, Dongwon Lee:
Forecasting the Number of Tenants At-Risk of Formal Eviction: A Machine Learning Approach to Inform Public Policy. IJCAI 2022: 5178-5184 - [c148]Limeng Cui, Dongwon Lee:
KETCH: Knowledge Graph Enhanced Thread Recommendation in Healthcare Forums. SIGIR 2022: 492-501 - [c147]Thai Le, Long Tran-Thanh, Dongwon Lee:
Socialbots on Fire: Modeling Adversarial Behaviors of Socialbots via Multi-Agent Hierarchical Reinforcement Learning. WWW 2022: 545-554 - [c146]Limeng Cui, Xianfeng Tang, Sumeet Katariya, Nikhil Rao, Pallav Agrawal, Karthik Subbian, Dongwon Lee:
ALLIE: Active Learning on Large-scale Imbalanced Graphs. WWW 2022: 690-698 - [c145]Yun-Yong Ko, Dongwon Lee, Sang-Wook Kim:
Not All Layers Are Equal: A Layer-Wise Adaptive Approach Toward Large-Scale DNN Training. WWW 2022: 1851-1859 - [i26]Michiharu Yamashita, Jia Tracy Shen, Hamoon Ekhtiari, Thanh Tran, Dongwon Lee:
JAMES: Job Title Mapping with Multi-Aspect Embeddings and Reasoning. CoRR abs/2202.10739 (2022) - [i25]Jooyoung Lee, Thai Le, Jinghui Chen, Dongwon Lee:
Do Language Models Plagiarize? CoRR abs/2203.07618 (2022) - [i24]Thai Le, Jooyoung Lee, Kevin Yen, Yifan Hu, Dongwon Lee:
Perturbations in the Wild: Leveraging Human-Written Text Perturbations for Realistic Adversarial Attack and Defense. CoRR abs/2203.10346 (2022) - [i23]Adaku Uchendu, Thai Le, Dongwon Lee:
Attribution and Obfuscation of Neural Text Authorship: A Data Mining Perspective. CoRR abs/2210.10488 (2022) - [i22]Ziyao Wang, Thai Le, Dongwon Lee:
UPTON: Unattributable Authorship Text via Data Poisoning. CoRR abs/2211.09717 (2022) - 2021
- [j40]Youngseung Jeon, Bogoan Kim, Aiping Xiong, Dongwon Lee, Kyungsik Han:
ChamberBreaker: Mitigating the Echo Chamber Effect and Supporting Information Hygiene through a Gamified Inoculation System. Proc. ACM Hum. Comput. Interact. 5(CSCW2): 472:1-472:26 (2021) - [c144]Thai Le, Noseong Park, Dongwon Lee:
A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger's Adversarial Attacks. ACL/IJCNLP (1) 2021: 3831-3844 - [c143]Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil T. Heffernan, Xintao Wu, Sean McGrew, Dongwon Lee:
Classifying Math Knowledge Components via Task-Adaptive Pre-Trained BERT. AIED (1) 2021: 408-419 - [c142]Wen Huang, Kevin Labille, Xintao Wu, Dongwon Lee, Neil T. Heffernan:
Fairness-aware Bandit-based Recommendation. IEEE BigData 2021: 1273-1278 - [c141]Maria D. Molina, S. Shyam Sundar, Md Main Uddin Rony, Naeemul Hassan, Thai Le, Dongwon Lee:
Does Clickbait Actually Attract More Clicks? Three Clickbait Studies You Must Read. CHI 2021: 234:1-234:19 - [c140]Yun-Yong Ko, Kibong Choi, Hyunseung Jei, Dongwon Lee, Sang-Wook Kim:
ALADDIN: Asymmetric Centralized Training for Distributed Deep Learning. CIKM 2021: 863-872 - [c139]Yiming Liao, Shuguang Wang, Dongwon Lee:
WILSON: A Divide and Conquer Approach for Fast and Effective News Timeline Summarization. EDBT 2021: 635-645 - [c138]Adaku Uchendu, Zeyu Ma, Thai Le, Rui Zhang, Dongwon Lee:
TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation. EMNLP (Findings) 2021: 2001-2016 - [c137]Yun-Yong Ko, Jae-Seo Yu, Hong-Kyun Bae, Yongjun Park, Dongwon Lee, Sang-Wook Kim:
MASCOT: A Quantization Framework for Efficient Matrix Factorization in Recommender Systems. ICDM 2021: 290-299 - [c136]Duanshun Li, Jing Liu, Jinsung Jeon, Seoyoung Hong, Thai Le, Dongwon Lee, Noseong Park:
Large-Scale Data-Driven Airline Market Influence Maximization. KDD 2021: 914-924 - [c135]Maryam Tabar, Jared Gluck, Anchit Goyal, Fei Jiang, Derek Morr, Annalyse Kehs, Dongwon Lee, David P. Hughes, Amulya Yadav:
A PLAN for Tackling the Locust Crisis in East Africa: Harnessing Spatiotemporal Deep Models for Locust Movement Forecasting. KDD 2021: 3595-3604 - [c134]Minjin Choi, Sunkyung Lee, Eunseong Choi, Heesoo Park, Junhyuk Lee, Dongwon Lee, Jongwuk Lee:
MelBERT: Metaphor Detection via Contextualized Late Interaction using Metaphorical Identification Theories. NAACL-HLT 2021: 1763-1773 - [c133]Tianyi Xie, Thai Le, Dongwon Lee:
CHECKER: Detecting Clickbait Thumbnails with Weak Supervision and Co-teaching. ECML/PKDD (5) 2021: 415-430 - [c132]Wonchang Lee, Yeon-Chang Lee, Dongwon Lee, Sang-Wook Kim:
Look Before You Leap: Confirming Edge Signs in Random Walk with Restart for Personalized Node Ranking in Signed Networks. SIGIR 2021: 143-152 - [i21]Minjin Choi, Sunkyung Lee, Eunseong Choi, Heesoo Park, Junhyuk Lee, Dongwon Lee, Jongwuk Lee:
MelBERT: Metaphor Detection via Contextualized Late Interaction using Metaphorical Identification Theories. CoRR abs/2104.13615 (2021) - [i20]Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil T. Heffernan, Xintao Wu, Sean McGrew, Dongwon Lee:
Classifying Math KCs via Task-Adaptive Pre-Trained BERT. CoRR abs/2105.11343 (2021) - [i19]Duanshun Li, Jing Liu, Jinsung Jeon, Seoyoung Hong, Thai Le, Dongwon Lee, Noseong Park:
Large-Scale Data-Driven Airline Market Influence Maximization. CoRR abs/2105.15012 (2021) - [i18]Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil T. Heffernan, Xintao Wu, Dongwon Lee:
MathBERT: A Pre-trained Language Model for General NLP Tasks in Mathematics Education. CoRR abs/2106.07340 (2021) - [i17]Adaku Uchendu, Zeyu Ma, Thai Le, Rui Zhang, Dongwon Lee:
TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation. CoRR abs/2109.13296 (2021) - [i16]Maya Merhi, Sarah Rajtmajer, Dongwon Lee:
Information Operations in Turkey: Manufacturing Resilience with Free Twitter Accounts. CoRR abs/2110.08976 (2021) - [i15]Thai Le, Long Tran-Thanh, Dongwon Lee:
Adversarial Socialbot Learning via Multi-Agent Deep Hierarchical Reinforcement Learning. CoRR abs/2110.10655 (2021) - 2020
- [j39]Kai Shu, Deepak Mahudeswaran, Suhang Wang, Dongwon Lee, Huan Liu:
FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media. Big Data 8(3): 171-188 (2020) - [j38]Sihem Amer-Yahia, Senjuti Basu Roy, Lei Chen, Atsuyuki Morishima, James Abello Monedero, Pierre Bourhis, François Charoy, Marina Danilevsky, Gautam Das, Gianluca Demartini, Shady Elbassuoni, David Gross-Amblard, Emilie Hoareau, Munenari Inoguchi, Jared B. Kenworthy, Itaru Kitahara, Dongwon Lee, Yunyao Li, Ria Mae Borromeo, Paolo Papotti, H. Raghav Rao, Sudeepa Roy, Pierre Senellart, Keishi Tajima, Saravanan Thirumuruganathan, Marion Tommasi, Kazutoshi Umemoto, Andrea Wiggins, Koichiro Yoshida:
Making AI Machines Work for Humans in FoW. SIGMOD Rec. 49(2): 30-35 (2020) - [c131]Sian Lee, Joshua P. Forrest, Jessica Strait, Haeseung Seo, Dongwon Lee, Aiping Xiong:
Beyond Cognitive Ability: Susceptibility to Fake News Is Also Explained by Associative Inference. CHI Extended Abstracts 2020: 1-8 - [c130]Jason (Jiasheng) Zhang, Dongwon Lee:
TOMATO: A Topic-Wise Multi-Task Sparsity Model. CIKM 2020: 1793-1802 - [c129]Adaku Uchendu, Thai Le, Kai Shu, Dongwon Lee:
Authorship Attribution for Neural Text Generation. EMNLP (1) 2020: 8384-8395 - [c128]Thai Le, Suhang Wang, Dongwon Lee:
MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models. ICDM 2020: 282-291 - [c127]Jingtao Han, Spyke Krepshaw, Dongwon Lee:
Gatekeeper: Analyzing G-Indexes and Improving Service Quantification. JCDL 2020: 17-26 - [c126]Thai Le, Suhang Wang, Dongwon Lee:
GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model's Prediction. KDD 2020: 238-248 - [c125]Limeng Cui, Haeseung Seo, Maryam Tabar, Fenglong Ma, Suhang Wang, Dongwon Lee:
DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation. KDD 2020: 492-502 - [c124]Maryam Tabar, Heesoo Park, Stephanie Winkler, Dongwon Lee, Anamika Barman-Adhikari, Amulya Yadav:
Identifying Homeless Youth At-Risk of Substance Use Disorder: Data-Driven Insights for Policymakers. KDD 2020: 3092-3100 - [c123]Jason (Jiasheng) Zhang, Dongwon Lee:
PROMO for Interpretable Personalized Social Emotion Mining. ECML/PKDD (1) 2020: 249-265 - [c122]Junho Song, Kyungsik Han, Dongwon Lee, Sang-Wook Kim:
Understanding emotions in SNS images from posters' perspectives. SAC 2020: 450-457 - [i14]Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu:
Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements. CoRR abs/2001.00623 (2020) - [i13]Limeng Cui, Dongwon Lee:
CoAID: COVID-19 Healthcare Misinformation Dataset. CoRR abs/2006.00885 (2020) - [i12]Thai Le, Suhang Wang, Dongwon Lee:
MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models. CoRR abs/2009.01048 (2020) - [i11]Wen Huang, Kevin Labille, Xintao Wu, Dongwon Lee, Neil T. Heffernan:
Achieving User-Side Fairness in Contextual Bandits. CoRR abs/2010.12102 (2020) - [i10]Thai Le, Noseong Park, Dongwon Lee:
SIENA: Stochastic Multi-Expert Neural Patcher. CoRR abs/2011.08908 (2020) - [i9]Thai Le, Noseong Park, Dongwon Lee:
Detecting Universal Trigger's Adversarial Attack with Honeypot. CoRR abs/2011.10492 (2020)
2010 – 2019
- 2019
- [j37]Qiaozhi Wang, Hao Xue, Fengjun Li, Dongwon Lee, Bo Luo:
#DontTweetThis: Scoring Private Information in Social Networks. Proc. Priv. Enhancing Technol. 2019(4): 72-92 (2019) - [j36]Jongwuk Lee, Won-Seok Hwang, Juan Parc, Youngnam Lee, Sang-Wook Kim, Dongwon Lee:
l-Injection: Toward Effective Collaborative Filtering Using Uninteresting Items. IEEE Trans. Knowl. Data Eng. 31(1): 3-16 (2019) - [c121]Thai Le, Kai Shu, Maria D. Molina, Dongwon Lee, S. Shyam Sundar, Huan Liu:
5 sources of clickbaits you should know!: using synthetic clickbaits to improve prediction and distinguish between bot-generated and human-written headlines. ASONAM 2019: 33-40 - [c120]Limeng Cui, Suhang Wang, Dongwon Lee:
SAME: sentiment-aware multi-modal embedding for detecting fake news. ASONAM 2019: 41-48 - [c119]Jing Liu, Yudi Chen, Duanshun Li, Noseong Park, Kisung Lee, Dongwon Lee:
Predicting Influence Probabilities using Graph Convolutional Networks. IEEE BigData 2019: 860-869 - [c118]Limeng Cui, Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu:
dEFEND: A System for Explainable Fake News Detection. CIKM 2019: 2961-2964 - [c117]Spyke Krepshaw, Dongwon Lee:
Gatekeeper: Quantifying the Impacts of Service to the Scientific Community. TPDL 2019: 123-135 - [c116]Jiasheng Zhang, Thai Le, Yiming Liao, Dongwon Lee:
PATHFINDER: Graph-Based Itemset Embedding for Learning Course Recommendation and Beyond. ICDM Workshops 2019: 1122-1125 - [c115]Kai Shu, Limeng Cui, Suhang Wang, Dongwon Lee, Huan Liu:
dEFEND: Explainable Fake News Detection. KDD 2019: 395-405 - [c114]Yiming Liao, Shuguang Wang, Eui-Hong Sam Han, Jongwuk Lee, Dongwon Lee:
Characterization and Early Detection of Evergreen News Articles. ECML/PKDD (3) 2019: 552-568 - [c113]Anirudh Narasimman, Qiaozhi Wang, Fengjun Li, Dongwon Lee, Bo Luo:
Arcana: Enabling Private Posts on Public Microblog Platforms. SEC 2019: 271-285 - [c112]Adaku Uchendu, Jeffrey Cao, Qiaozhi Wang, Bo Luo, Dongwon Lee:
Characterizing Man-made vs. Machine-made Chatbot Dialogs. TTO 2019 - [c111]Haeseung Seo, Aiping Xiong, Dongwon Lee:
Trust It or Not: Effects of Machine-Learning Warnings in Helping Individuals Mitigate Misinformation. WebSci 2019: 265-274 - [c110]Jialin Shao, Adaku Uchendu, Dongwon Lee:
A Reverse Turing Test for Detecting Machine-Made Texts. WebSci 2019: 275-279 - [c109]Tracy Jia Shen, Robert Cowell, Aditi Gupta, Thai Le, Amulya Yadav, Dongwon Lee:
How Gullible Are You?: Predicting Susceptibility to Fake News. WebSci 2019: 287-288 - [c108]Yaowei Yan, Yuchen Bian, Dongsheng Luo, Dongwon Lee, Xiang Zhang:
Constrained Local Graph Clustering by Colored Random Walk. WWW 2019: 2137-2146 - [i8]Jason Zhang, Junming Yin, Dongwon Lee, Linhong Zhu:
Deep Reinforcement Learning for Personalized Search Story Recommendation. CoRR abs/1907.11754 (2019) - [i7]Thai Le, Suhang Wang, Dongwon Lee:
Why X rather than Y? Explaining Neural Model' Predictions by Generating Intervention Counterfactual Samples. CoRR abs/1911.02042 (2019) - 2018
- [j35]Kyungsik Han, Hyunggu Jung, Jin Yea Jang, Dongwon Lee:
Understanding Users' Privacy Attitudes through Subjective and Objective Assessments: An Instagram Case Study. Computer 51(6): 18-28 (2018) - [j34]Dongwon Lee, Nishanth Sastry, Ingmar Weber, Nam Nguyen:
29th ACM International Conference on Hypertext and Social Media. SIGWEB Newsl. 2018(Winter): 3:1-3:4 (2018) - [c107]Yeon-Chang Lee, Sang-Wook Kim, Dongwon Lee:
gOCCF: Graph-Theoretic One-Class Collaborative Filtering Based on Uninteresting Items. AAAI 2018: 3448-3456 - [c106]Jason (Jiasheng) Zhang, Dongwon Lee:
ROAR: Robust Label Ranking for Social Emotion Mining. AAAI 2018: 4422-4429 - [c105]Thanh Tran, Kyumin Lee, Yiming Liao, Dongwon Lee:
Regularizing Matrix Factorization with User and Item Embeddings for Recommendation. CIKM 2018: 687-696 - [c104]Julien Pilourdault, Sihem Amer-Yahia, Senjuti Basu Roy, Dongwon Lee:
Task Relevance and Diversity as Worker Motivation in Crowdsourcing. ICDE 2018: 365-376 - [c103]Kai Shu, Suhang Wang, Thai Le, Dongwon Lee, Huan Liu:
Deep Headline Generation for Clickbait Detection. ICDM 2018: 467-476 - [c102]Lingjing Yu, Sri Mounica Motipalli, Dongwon Lee, Peng Liu, Heng Xu, Qingyun Liu, Jianlong Tan, Bo Luo:
My Friend Leaks My Privacy: Modeling and Analyzing Privacy in Social Networks. SACMAT 2018: 93-104 - [p2]Mo Yu, Xiaolong (Luke) Zhang, Dongwon Lee, Derek Kreager:
Community-Based Recommendation for Cold-Start Problem: A Case Study of Reciprocal Online Dating Recommendation. Social Network Based Big Data Analysis and Applications 2018: 201-222 - [e5]Dongwon Lee, Nishanth Sastry, Ingmar Weber:
Proceedings of the 29th on Hypertext and Social Media, HT 2018, Baltimore, MD, USA, July 09-12, 2018. ACM 2018 [contents] - [r2]Dongwon Lee, Ting Yu:
XML Access Control. Encyclopedia of Database Systems (2nd ed.) 2018 - [i6]Thanh Tran, Kyumin Lee, Yiming Liao, Dongwon Lee:
Regularizing Matrix Factorization with User and Item Embeddings for Recommendation. CoRR abs/1809.00979 (2018) - [i5]Kai Shu, Deepak Mahudeswaran, Suhang Wang, Dongwon Lee, Huan Liu:
FakeNewsNet: A Data Repository with News Content, Social Context and Dynamic Information for Studying Fake News on Social Media. CoRR abs/1809.01286 (2018) - 2017
- [j33]Jongwuk Lee, Dongwon Lee, Seung-won Hwang:
CrowdK: Answering top-k queries with crowdsourcing. Inf. Sci. 399: 98-120 (2017) - [c101]Julien Pilourdault, Sihem Amer-Yahia, Dongwon Lee, Senjuti Basu Roy:
Motivation-Aware Task Assignment in Crowdsourcing. EDBT 2017: 246-257 - [c100]Changtao Zhong, Hau-Wen Chang, Dmytro Karamshuk, Dongwon Lee, Nishanth Sastry:
Wearing Many (Social) Hats: How Different Are Your Different Social Network Personae? ICWSM 2017: 397-407 - [c99]Mizanur Rahman, Ruben Recabarren, Bogdan Carbunar, Dongwon Lee:
Stateless Puzzles for Real Time Online Fraud Preemption. WebSci 2017: 23-32 - [c98]Yiming Liao, Thanh Tran, Dongwon Lee, Kyumin Lee:
Understanding Temporal Backing Patterns in Online Crowdfunding Communities. WebSci 2017: 369-378 - [e4]Dongwon Lee, Yu-Ru Lin, Nathaniel Osgood, Robert Thomson:
Social, Cultural, and Behavioral Modeling - 10th International Conference, SBP-BRiMS 2017, Washington, DC, USA, July 5-8, 2017, Proceedings. Lecture Notes in Computer Science 10354, Springer 2017, ISBN 978-3-319-60239-4 [contents] - [i4]Changtao Zhong, Hau-Wen Chang, Dmytro Karamshuk, Dongwon Lee, Nishanth Sastry:
Wearing Many (Social) Hats: How Different are Your Different Social Network Personae? CoRR abs/1703.04791 (2017) - [i3]Mizanur Rahman, Ruben Recabarren, Bogdan Carbunar, Dongwon Lee:
Stateless Puzzles for Real Time Online Fraud Preemption. CoRR abs/1706.01560 (2017) - [i2]Huanshen Wei, Jason Zhang, Dongwon Lee:
Inequalities, Preferences and Rankings in US Sports Coach Hiring Networks. CoRR abs/1712.05112 (2017) - 2016
- [j32]Jongwuk Lee, Dongwon Lee, Yeon-Chang Lee, Won-Seok Hwang, Sang-Wook Kim:
Improving the accuracy of top-N recommendation using a preference model. Inf. Sci. 348: 290-304 (2016) - [j31]Kevin S. Xu, Nitin Agarwal, Dongwon Lee, Nathaniel Osgood:
Guest Editorial on Social Computing, Behavioral-Cultural Modeling and Prediction. IEEE Trans. Comput. Soc. Syst. 3(2): 43-45 (2016) - [c97]Prudhvi Ratna Badri Satya, Kyumin Lee, Dongwon Lee, Thanh Tran, Jason (Jiasheng) Zhang:
Uncovering Fake Likers in Online Social Networks. CIKM 2016: 2365-2370 - [c96]Jongwuk Lee, Dongwon Lee, Sang-Wook Kim:
CrowdSky: Skyline Computation with Crowdsourcing. EDBT 2016: 125-136 - [c95]Jin Yea Jang, Kyungsik Han, Dongwon Lee, Haiyan Jia, Patrick C. Shih:
Teens Engage More with Fewer Photos: Temporal and Comparative Analysis on Behaviors in Instagram. HT 2016: 71-81 - [c94]Won-Seok Hwang, Juan Parc, Sang-Wook Kim, Jongwuk Lee, Dongwon Lee:
"Told you i didn't like it": Exploiting uninteresting items for effective collaborative filtering. ICDE 2016: 349-360 - [c93]Dongwon Lee:
Likeology: modeling, predicting, and aggregating likes in social media. WebSci 2016: 13 - [c92]Kyungsik Han, Sanghack Lee, Jin Yea Jang, Yong Jung, Dongwon Lee:
Teens are from mars, adults are from venus: analyzing and predicting age groups with behavioral characteristics in instagram. WebSci 2016: 35-44 - [e3]Kevin S. Xu, David Reitter, Dongwon Lee, Nathaniel Osgood:
Social, Cultural, and Behavioral Modeling, 9th International Conference, SBP-BRiMS 2016, Washington, DC, USA, June 28 - July 1, 2016, Proceedings. Lecture Notes in Computer Science 9708, Springer 2016, ISBN 978-3-319-39930-0 [contents] - 2015
- [c91]Kyungsik Han, Jin Yea Jang, Dongwon Lee:
Exploring Tag-based Like Networks. CHI Extended Abstracts 2015: 1941-1946