| 2026 | ICDE | On Graph Rewiring with Motifs: A Find-and-Replace Approach. | Qihao Wang, Hongtai Cao, Xiaodong Li, Matin Najafi, Kevin Chen-Chuan Chang, Reynold Cheng |
| 2025 | ACL | Understanding Cross-Domain Adaptation in Low-Resource Topic Modeling. | Pritom Saha Akash, Kevin Chen-Chuan Chang |
| 2025 | ACL | ERU-KG: Efficient Reference-aligned Unsupervised Keyphrase Generation. | Lam Thanh Do, Aaditya Bodke, Pritom Saha Akash, Kevin Chen-Chuan Chang |
| 2025 | ACL | Writing Like the Best: Exemplar-Based Expository Text Generation. | Yuxiang Liu, Kevin Chen-Chuan Chang |
| 2025 | ACL | MiniELM: A Lightweight and Adaptive Query Rewriting Framework for E-Commerce Search Optimization. | Duy A. Nguyen, Rishi Kesav Mohan, Shimeng Yang, Pritom Saha Akash, Kevin Chen-Chuan Chang |
| 2025 | EMNLP | Query Optimization for Parametric Knowledge Refinement in Retrieval-Augmented Large Language Models. | Youan Cong, Pritom Saha Akash, Cheng Wang, Kevin Chen-Chuan Chang |
| 2025 | ICDE | MuSha: Subgraph Matching by Multilevel Sharing. | Hongtai Cao, Qihao Wang, Xiaodong Li, Mohammad Matin Najafi, Kevin Chen-Chuan Chang, Reynold Cheng |
| 2024 | EMNLP | Enhancing Short-Text Topic Modeling with LLM-Driven Context Expansion and Prefix-Tuned VAEs. | Pritom Saha Akash, Kevin Chen-Chuan Chang |
| 2024 | EMNLP | ConTReGen: Context-driven Tree-structured Retrieval for Open-domain Long-form Text Generation. | Kashob Kumar Roy, Pritom Saha Akash, Kevin Chen-Chuan Chang, Lucian Popa |
| 2024 | ICDE | Large Subgraph Matching: A Comprehensive and Efficient Approach for Heterogeneous Graphs. | Hongtai Cao, Qihao Wang, Xiaodong Li, Matin Najafi, Kevin Chen-Chuan Chang, Reynold Cheng |
| 2024 | ICDE | From Motif to Path: Connectivity and Homophily. | Qihao Wang, Hongtai Cao, Xiaodong Li, Kevin Chen-Chuan Chang, Reynold Cheng |
| 2023 | ACL | Towards Reasoning in Large Language Models: A Survey. | Jie Huang, Kevin Chen-Chuan Chang |
| 2023 | ACL | Can Language Models Be Specific? How? | Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu |
| 2023 | ACL | Unsupervised Open-domain Keyphrase Generation. | Lam Do, Pritom Saha Akash, Kevin Chen-Chuan Chang |
| 2023 | ACL | DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept Relationships. | Chenzhengyi Liu, Jie Huang, Kerui Zhu, Kevin Chen-Chuan Chang |
| 2023 | ACL | When to Use What: An In-Depth Comparative Empirical Analysis of OpenIE Systems for Downstream Applications. | Kevin Pei, Ishan Jindal, Kevin Chen-Chuan Chang, ChengXiang Zhai, Yunyao Li |
| 2023 | CIKM | A Principled Decomposition of Pointwise Mutual Information for Intention Template Discovery. | Denghao Ma, Kevin Chen-Chuan Chang, Yueguo Chen, Xueqiang Lv, Liang Shen |
| 2023 | EMNLP | Text Fact Transfer. | Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang |
| 2023 | EMNLP | Expository Text Generation: Imitate, Retrieve, Paraphrase. | Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang |
| 2023 | EMNLP | Ask To The Point: Open-Domain Entity-Centric Question Generation. | Yuxiang Liu, Jie Huang, Kevin Chen-Chuan Chang |
| 2023 | EMNLP | Abstractive Open Information Extraction. | Kevin Pei, Ishan Jindal, Kevin Chen-Chuan Chang |
| 2023 | EMNLP | Descriptive Knowledge Graph in Biomedical Domain. | Kerui Zhu, Jie Huang, Kevin Chen-Chuan Chang |
| 2022 | ACL | Domain Representative Keywords Selection: A Probabilistic Approach. | Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang, Yunyao Li, Lucian Popa, ChengXiang Zhai |
| 2022 | EMNLP | Are Large Pre-Trained Language Models Leaking Your Personal Information? | Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang |
| 2022 | EMNLP | Understanding Jargon: Combining Extraction and Generation for Definition Modeling. | Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu |
| 2022 | EMNLP | DEER: Descriptive Knowledge Graph for Explaining Entity Relationships. | Jie Huang, Kerui Zhu, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu |
| 2022 | EMNLP | Coordinated Topic Modeling. | Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang |
| 2022 | ICDE | Unified and Incremental SimRank: Index-free Approximation with Scheduled Principle (Extended Abstract). | Fanwei Zhu, Yuan Fang, Kai Zhang, Kevin Chen-Chuan Chang, Hongtai Cao, Zhen Jiang, Minghui Wu |
| 2020 | CIKM | M-Cypher: A GQL Framework Supporting Motifs. | Xiaodong Li, Reynold Cheng, Matin Najafi, Kevin Chen-Chuan Chang, Xiaolin Han, Hongtai Cao |
| 2020 | ICDE | MC-Explorer: Analyzing and Visualizing Motif-Cliques on Large Networks. | Boxuan Li, Reynold Cheng, Jiafeng Hu, Yixiang Fang, Min Ou, Ruibang Luo, Kevin Chen-Chuan Chang, Xuemin Lin |
| 2020 | ICDM | GraphEBM: Energy-based Graph Construction for Semi-Supervised Learning. | Zhijie Chen, Hongtai Cao, Kevin Chen-Chuan Chang |
| 2020 | ICLR | Geom-GCN: Geometric Graph Convolutional Networks. | Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Yu Lei, Bo Yang |
| 2020 | WWW | ROSE: Role-based Signed Network Embedding. | Amin Javari, Tyler Derr, Pouya Esmailian, Jiliang Tang, Kevin Chen-Chuan Chang |
| 2020 | WWW | Weakly Supervised Attention for Hashtag Recommendation using Graph Data. | Amin Javari, Zhankui He, Zijie Huang, Jeetu Raj, Kevin Chen-Chuan Chang |
| 2019 | ICDE | Faster, Higher, Stronger: Redesigning Spreadsheets for Scale. | Mangesh Bendre, Tana Wattanawaroon, Sajjadur Rahman, Kelly Mack, Yuyang Liu, Shichu Zhu, Yu Lu, Ping-Jing Yang, Xinyan Zhou, Kevin Chen-Chuan Chang, Karrie Karahalios, Aditya G. Parameswaran |
| 2019 | ICDE | Discovering Maximal Motif Cliques in Large Heterogeneous Information Networks. | Jiafeng Hu, Reynold Cheng, Kevin Chen-Chuan Chang, Aravind Sankar, Yixiang Fang, Brian Y. H. Lam |
| 2018 | AAAI | Distance-Aware DAG Embedding for Proximity Search on Heterogeneous Graphs. | Zemin Liu, Vincent W. Zheng, Zhou Zhao, Fanwei Zhu, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying |
| 2018 | CHI | Characterizing Scalability Issues in Spreadsheet Software using Online Forums. | Kelly Mack, John Lee, Kevin Chen-Chuan Chang, Karrie Karahalios, Aditya G. Parameswaran |
| 2018 | ICDE | Towards a Holistic Integration of Spreadsheets with Databases: A Scalable Storage Engine for Presentational Data Management. | Mangesh Bendre, Vipul Venkataraman, Xinyan Zhou, Kevin Chen-Chuan Chang, Aditya G. Parameswaran |
| 2018 | ICDM | Heterogeneous Embedding Propagation for Large-Scale E-Commerce User Alignment. | Vincent W. Zheng, Mo Sha, Yuchen Li, Hongxia Yang, Yuan Fang, Zhenjie Zhang, Kian-Lee Tan, Kevin Chen-Chuan Chang |
| 2018 | WWW | Subgraph-augmented Path Embedding for Semantic User Search on Heterogeneous Social Network. | Zemin Liu, Vincent W. Zheng, Zhou Zhao, Hongxia Yang, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying |
| 2018 | WWW | Leveraging Fine-Grained Wikipedia Categories for Entity Search. | Denghao Ma, Yueguo Chen, Kevin Chen-Chuan Chang, Xiaoyong Du, Chuanfei Xu, Yi Chang |
| 2017 | AAAI | Semantic Proximity Search on Heterogeneous Graph by Proximity Embedding. | Zemin Liu, Vincent W. Zheng, Zhou Zhao, Fanwei Zhu, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying |
| 2017 | CIKM | Learning Community Embedding with Community Detection and Node Embedding on Graphs. | Sandro Cavallari, Vincent W. Zheng, Hongyun Cai, Kevin Chen-Chuan Chang, Erik Cambria |
| 2017 | ICDE | SocialLens: Searching and Browsing Communities by Content and Interaction. | Hongyun Cai, Vincent Wenchen Zheng, Penghe Chen, Fanwei Zhu, Kevin Chen-Chuan Chang, Zi Huang |
| 2017 | ICDM | Statistical Link Label Modeling for Sign Prediction: Smoothing Sparsity by Joining Local and Global Information. | Amin Javari, Hongxiang Qiu, Elham Barzegaran, Mahdi Jalili, Kevin Chen-Chuan Chang |
| 2017 | ICDM | Topological Recurrent Neural Network for Diffusion Prediction. | Jia Wang, Vincent W. Zheng, Zemin Liu, Kevin Chen-Chuan Chang |
| 2016 | AAAI | Cold-Start Heterogeneous-Device Wireless Localization. | Vincent W. Zheng, Hong Cao, Shenghua Gao, Aditi Adhikari, Miao Lin, Kevin Chen-Chuan Chang |
| 2016 | CIKM | Regularizing Structured Classifier with Conditional Probabilistic Constraints for Semi-supervised Learning. | Vincent Wenchen Zheng, Kevin Chen-Chuan Chang |
| 2016 | ICDE | Semantic proximity search on graphs with metagraph-based learning. | Yuan Fang, Wenqing Lin, Vincent Wenchen Zheng, Min Wu, Kevin Chen-Chuan Chang, Xiaoli Li |
| 2016 | ICDE | Learning to query: Focused web page harvesting for entity aspects. | Yuan Fang, Vincent W. Zheng, Kevin Chen-Chuan Chang |
| 2015 | ICDM | IntelligShop: Enabling Intelligent Shopping in Malls through Location-Based Augmented Reality. | Aditi Adhikari, Vincent W. Zheng, Hong Cao, Miao Lin, Yuan Fang, Kevin Chen-Chuan Chang |
| 2015 | IJCAI | Mobility Profiling for User Verification with Anonymized Location Data. | Miao Lin, Hong Cao, Vincent W. Zheng, Kevin Chen-Chuan Chang, Shonali Krishnaswamy |
| 2015 | UCC | Ushio: Analyzing News Media and Public Trends in Twitter. | Fangzhou Yao, Kevin Chen-Chuan Chang, Roy H. Campbell |
| 2014 | EDBT | Privacy Risk in Anonymized Heterogeneous Information Networks. | Aston Zhang, Xing Xie, Kevin Chen-Chuan Chang, Carl A. Gunter, Jiawei Han, XiaoFeng Wang |
| 2014 | ICML | Graph-based Semi-supervised Learning: Realizing Pointwise Smoothness Probabilistically. | Yuan Fang, Kevin Chen-Chuan Chang, Hady Wirawan Lauw |
| 2014 | KDD | Unifying learning to rank and domain adaptation: enabling cross-task document scoring. | Mianwei Zhou, Kevin Chen-Chuan Chang |
| 2014 | WWW | Towards a social media analytics platform: event detection and user profiling for twitter. | Manish Gupta, Rui Li, Kevin Chen-Chuan Chang |
| 2014 | WWW | User profiling in an ego network: co-profiling attributes and relationships. | Rui Li, Chi Wang, Kevin Chen-Chuan Chang |
| 2013 | CIKM | Entity-centric document filtering: boosting feature mapping through meta-features. | Mianwei Zhou, Kevin Chen-Chuan Chang |
| 2013 | ICDE | RoundTripRank: Graph-based proximity with importance and specificity? | Yuan Fang, Kevin Chen-Chuan Chang, Hady Wirawan Lauw |
| 2013 | ICDE | Learning to rank from distant supervision: Exploiting noisy redundancy for relational entity search. | Mianwei Zhou, Hongning Wang, Kevin Chen-Chuan Chang |
| 2012 | ICDE | TEDAS: A Twitter-based Event Detection and Analysis System. | Rui Li, Kin Hou Lei, Ravi Khadiwala, Kevin Chen-Chuan Chang |
| 2012 | KDD | Towards social user profiling: unified and discriminative influence model for inferring home locations. | Rui Li, Shengjie Wang, Hongbo Deng, Rui Wang, Kevin Chen-Chuan Chang |
| 2012 | SIGIR | Confidence-aware graph regularization with heterogeneous pairwise features. | Yuan Fang, Bo-June Paul Hsu, Kevin Chen-Chuan Chang |
| 2011 | WSDM | Searching patterns for relation extraction over the web: rediscovering the pattern-relation duality. | Yuan Fang, Kevin Chen-Chuan Chang |
| 2010 | EDBT | Beyond pages: supporting efficient, scalable entity search with dual-inversion index. | Tao Cheng, Kevin Chen-Chuan Chang |
| 2010 | ICDE | Toward large scale data-aware search: Ranking, indexing, resolution and beyond. | Tao Cheng, Kevin Chen-Chuan Chang |
| 2010 | WWW | Towards rich query interpretation: walking back and forth for mining query templates. | Ganesh Agarwal, Govind Kabra, Kevin Chen-Chuan Chang |
| 2010 | SIGMOD | DoCQS: a prototype system for supporting data-oriented content query. | Mianwei Zhou, Tao Cheng, Kevin Chen-Chuan Chang |
| 2010 | WSDM | Data-oriented content query system: searching for data into text on the web. | Mianwei Zhou, Tao Cheng, Kevin Chen-Chuan Chang |
| 2009 | SIGMOD | AIDE: ad-hoc intents detection engine over query logs. | Yunliang Jiang, Hui-Ting Yang, Kevin Chen-Chuan Chang, Yi-Shin Chen |
| 2008 | CIKM | Integrating web query results: holistic schema matching. | Shui-Lung Chuang, Kevin Chen-Chuan Chang |
| 2007 | CIDR | Entity Search Engine: Towards Agile Best-Effort Information Integration over the Web. | Tao Cheng, Kevin Chen-Chuan Chang |
| 2007 | ICDE | Collaborative Wrapping: A Turbo Framework for Web Data Extraction. | Shui-Lung Chuang, Kevin Chen-Chuan Chang, ChengXiang Zhai |
| 2007 | ICDE | Dewex: An Exploration Facility for Enabling the Deep Web Integration. | Govind Kabra, Zhen Zhang, Kevin Chen-Chuan Chang |
| 2007 | ICDE | Top-k Query Processing in Uncertain Databases. | Mohamed A. Soliman, Ihab F. Ilyas, Kevin Chen-Chuan Chang |
| 2007 | SIGMOD | Supporting entity search: a large-scale prototype search engine. | Tao Cheng, Xifeng Yan, Kevin Chen-Chuan Chang |
| 2007 | SIGMOD | Supporting ranking and clustering as generalized order-by and group-by. | Chengkai Li, Min Wang, Lipyeow Lim, Haixun Wang, Kevin Chen-Chuan Chang |
| 2007 | SIGMOD | URank: formulation and efficient evaluation of top-k queries in uncertain databases. | Mohamed A. Soliman, Ihab F. Ilyas, Kevin Chen-Chuan Chang |
| 2007 | SIGMOD | Progressive and selective merge: computing top-k with ad-hoc ranking functions. | Dong Xin, Jiawei Han, Kevin Chen-Chuan Chang |
| 2007 | VLDB | EntityRank: Searching Entities Directly and Holistically. | Tao Cheng, Xifeng Yan, Kevin Chen-Chuan Chang |
| 2007 | VLDB | Context-Aware Wrapping: Synchronized Data Extraction. | Shui-Lung Chuang, Kevin Chen-Chuan Chang, ChengXiang Zhai |
| 2006 | SIGMOD | Accessing the web: from search to integration. | Kevin Chen-Chuan Chang, Junghoo Cho |
| 2006 | SIGMOD | Supporting ad-hoc ranking aggregates. | Chengkai Li, Kevin Chen-Chuan Chang, Ihab F. Ilyas |
| 2006 | SIGMOD | Boolean + ranking: querying a database by k-constrained optimization. | Zhen Zhang, Seung-won Hwang, Kevin Chen-Chuan Chang, Min Wang, Christian A. Lang, Yuan-Chi Chang |
| 2005 | CIDR | Toward Large Scale Integration: Building a MetaQuerier over Databases on the Web. | Kevin Chen-Chuan Chang, Bin He, Zhen Zhang |
| 2005 | ICDE | Towards Building a MetaQuerier: Extracting and Matching Web Query Interfaces. | Bin He, Zhen Zhang, Kevin Chen-Chuan Chang |
| 2005 | ICDE | Optimizing Access Cost for Top-k Queries over Web Sources: A Unified Cost-based Approach. | Seung-won Hwang, Kevin Chen-Chuan Chang |
| 2005 | ICDE | Enabling Ad-hoc Ranking for Data Retrieval. | Hwanjo Yu, Seung-won Hwang, Kevin Chen-Chuan Chang |
| 2005 | KDD | Making holistic schema matching robust: an ensemble approach. | Bin He, Kevin Chen-Chuan Chang |
| 2005 | SIGMOD | MetaQuerier: querying structured web sources on-the-fly. | Bin He, Zhen Zhang, Kevin Chen-Chuan Chang |
| 2005 | SIGMOD | RankSQL: Query Algebra and Optimization for Relational Top-k Queries. | Chengkai Li, Kevin Chen-Chuan Chang, Ihab F. Ilyas, Sumin Song |
| 2005 | VLDB | RankSQL: Supporting Ranking Queries in Relational Database Management Systems. | Chengkai Li, Mohamed A. Soliman, Kevin Chen-Chuan Chang, Ihab F. Ilyas |
| 2005 | VLDB | Light-weight Domain-based Form Assistant: Querying Web Databases On the Fly. | Zhen Zhang, Bin He, Kevin Chen-Chuan Chang |
| 2004 | CIKM | Organizing structured web sources by query schemas: a clustering approach. | Bin He, Tao Tao, Kevin Chen-Chuan Chang |
| 2004 | KDD | Discovering complex matchings across web query interfaces: a correlation mining approach. | Bin He, Kevin Chen-Chuan Chang, Jiawei Han |
| 2004 | SIGMOD | Knocking the Door to the Deep Web: Integration of Web Query Interfaces. | Bin He, Zhen Zhang, Kevin Chen-Chuan Chang |
| 2004 | SIGMOD | Understanding Web Query Interfaces: Best-Effort Parsing with Hidden Syntax. | Zhen Zhang, Bin He, Kevin Chen-Chuan Chang |
| 2003 | SIGMOD | Statistical Schema Matching across Web Query Interfaces. | Bin He, Kevin Chen-Chuan Chang |
| 2002 | ICDM | Heterogeneous Learner for Web Page Classification. | Hwanjo Yu, Kevin Chen-Chuan Chang, Jiawei Han |
| 2002 | KDD | PEBL: positive example based learning for Web page classification using SVM. | Hwanjo Yu, Jiawei Han, Kevin Chen-Chuan Chang |
| 2002 | SIGMOD | Minimal probing: supporting expensive predicates for top-k queries. | Kevin Chen-Chuan Chang, Seung-won Hwang |
| 2000 | VLDB | Approximate Query Translation Across Heterogeneous Information Sources. | Kevin Chen-Chuan Chang, Hector Garcia-Molina |
| 1999 | SIGMOD | Mind Your Vocabulary: Query Mapping Across Heterogeneous Information Sources. | Kevin Chen-Chuan Chang, Hector Garcia-Molina |
| 1999 | SIGMOD | PowerBookmarks: A System for Personalizable Web Information Organization, Sharing, and Management. | Wen-Syan Li, Quoc Vu, Edward Y. Chang, Divyakant Agrawal, Kyoji Hirata, Sougata Mukherjea, Yi-Leh Wu, Corey Bufi, Kevin Chen-Chuan Chang, Yoshinori Hara, Reiko Ito, Yutaka Kimura, Kazuyuki Shimazu, Yukiyoshi Saito |
| 1997 | SIGMOD | STARTS: Stanford Proposal for Internet Meta-Searching (Experience Paper). | Luis Gravano, Kevin Chen-Chuan Chang, Hector Garcia-Molina, Andreas Paepcke |