Boolean Query Mapping Across Heterogeneous Information Sources. - Kevin Chen-Chuan Chang; Hector Garcia-Molina; Andreas Paepcke (IEEE Trans. Knowl. Data Eng., 1996)

Metadata for Digital Libraries: Architecture and Design Rationale. - Michelle Q. Wang Baldonado; Kevin Chen-Chuan Chang; Luis Gravano; Andreas Paepcke (ACM DL, 1997)

Evaluating the Cost of Boolean Query Mapping. - Kevin Chen-Chuan Chang; Hector Garcia-Molina (ACM DL, 1997)

STARTS: Stanford Proposal for Internet Meta-Searching (Experience Paper). - Luis Gravano; Kevin Chen-Chuan Chang; Hector Garcia-Molina; Andreas Paepcke (SIGMOD Conference, 1997)

The Stanford Digital Library Metadata Architecture. - Michelle Q. Wang Baldonado; Kevin Chen-Chuan Chang; Luis Gravano; Andreas Paepcke (Int. J. Digit. Libr., 1997)

An Extensible Constructor Tool for the Rapid, Interactive Design of Query Synthesizers. - Michelle Q. Wang Baldonado; Seth Katz; Andreas Paepcke; Kevin Chen-Chuan Chang; Hector Garcia-Molina; Terry Winograd (ACM DL, 1998)

Conjunctive Constraint Mapping for Data Translation. - Kevin Chen-Chuan Chang; Hector Garcia-Molina (ACM DL, 1998)

PowerBookmarks: An Advanced Web Bookmark Database System and its Information Sharing and Management. - Wen-Syan Li; Yi-Leh Wu; Corey Bufi; Kevin Chen-Chuan Chang; Divyakant Agrawal; Yoshinori Hara (FODO, 1998)

The Stanford InfoBus and Its Service Layers: Augmenting the Internet with High-Level Information Management Protocols. - Martin Röscheisen; Michelle Q. Wang Baldonado; Kevin Chen-Chuan Chang; Luis Gravano; Steven P. Ketchpel; Andreas Paepcke (The MeDoc Approach, 1998)

Interoperability for Digital Libraries Worldwide. - Andreas Paepcke; Kevin Chen-Chuan Chang; Hector Garcia-Molina; Terry Winograd (Commun. ACM, 1998)

Mind Your Vocabulary: Query Mapping Across Heterogeneous Information Sources. - Kevin Chen-Chuan Chang; Hector Garcia-Molina (SIGMOD Conference, 1999)

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; et al. (SIGMOD Conference, 1999)

Using Distributed Objects to Build the Stanford Digital Library Infobus. - Andreas Paepcke; Michelle Q. Wang Baldonado; Kevin Chen-Chuan Chang; Steve B. Cousins; Hector Garcia-Molina (Computer, 1999)

Predicate Rewriting for Translating Boolean Queries in a Heterogeneous Information System. - Kevin Chen-Chuan Chang; Hector Garcia-Molina; Andreas Paepcke (ACM Trans. Inf. Syst., 1999)

Approximate Query Translation Across Heterogeneous Information Sources. - Kevin Chen-Chuan Chang; Hector Garcia-Molina (VLDB, 2000)

NBDL: a CIS framework for NSDL. - Joe Futrelle; Su-Shing Chen; Kevin Chen-Chuan Chang (JCDL, 2001)

Approximate query mapping: Accounting for translation closeness. - Kevin Chen-Chuan Chang; Hector Garcia-Molina (VLDB J., 2001)

Heterogeneous Learner for Web Page Classification. - Hwanjo Yu; Kevin Chen-Chuan Chang; Jiawei Han 001 (ICDM, 2002)

PEBL: positive example based learning for Web page classification using SVM. - Hwanjo Yu; Jiawei Han 001; Kevin Chen-Chuan Chang (KDD, 2002)

Minimal probing: supporting expensive predicates for top-k queries. - Kevin Chen-Chuan Chang; Seung-won Hwang (SIGMOD Conference, 2002)

Data Mining for Web Intelligence. - Jiawei Han 001; Kevin Chen-Chuan Chang (Computer, 2002)

Database Research at the University of Illinois at Urbana-Champaign. - Marianne Winslett; Kevin Chen-Chuan Chang; AnHai Doan; Jiawei Han 001; ChengXiang Zhai; Yuanyuan Zhou 001 (SIGMOD Rec., 2002)

Statistical Schema Matching across Web Query Interfaces. - Bin He 001; Kevin Chen-Chuan Chang (SIGMOD Conference, 2003)

Organizing structured web sources by query schemas: a clustering approach. - Bin He 001; Tao Tao; Kevin Chen-Chuan Chang (CIKM, 2004)

Mining complex matchings across Web query interfaces. - Bin He 001; Kevin Chen-Chuan Chang; Jiawei Han 001 (DMKD, 2004)

Clustering Structured Web Sources: A Schema-Based, Model-Differentiation Approach. - Bin He 001; Tao Tao; Kevin Chen-Chuan Chang (EDBT Workshops, 2004)

Discovering complex matchings across web query interfaces: a correlation mining approach. - Bin He 001; Kevin Chen-Chuan Chang; Jiawei Han 001 (KDD, 2004)

Optimal multimodal fusion for multimedia data analysis. - Yi Wu 005; Edward Y. Chang; Kevin Chen-Chuan Chang; John R. Smith (ACM Multimedia, 2004)

Knocking the Door to the Deep Web: Integration of Web Query Interfaces. - Bin He 001; Zhen Zhang 001; Kevin Chen-Chuan Chang (SIGMOD Conference, 2004)

Understanding Web Query Interfaces: Best-Effort Parsing with Hidden Syntax. - Zhen Zhang 001; Bin He 001; Kevin Chen-Chuan Chang (SIGMOD Conference, 2004)

Mining semantics for large scale integration on the web: evidences, insights, and challenges. - Kevin Chen-Chuan Chang; Bin He 001; Zhen Zhang 001 (SIGKDD Explor., 2004)

Editorial: special issue on web content mining. - Bing Liu 001; Kevin Chen-Chuan Chang (SIGKDD Explor., 2004)

Structured Databases on the Web: Observations and Implications. - Kevin Chen-Chuan Chang; Bin He 001; Chengkai Li 001; Mitesh Patel; Zhen Zhang 001 (SIGMOD Rec., 2004)

A Holistic Paradigm for Large Scale Schema Matching. - Bin He 001; Kevin Chen-Chuan Chang (SIGMOD Rec., 2004)

PEBL: Web Page Classification without Negative Examples. - Hwanjo Yu; Jiawei Han 001; Kevin Chen-Chuan Chang (IEEE Trans. Knowl. Data Eng., 2004)

Toward Large Scale Integration: Building a MetaQuerier over Databases on the Web. - Kevin Chen-Chuan Chang; Bin He 001; Zhen Zhang 001 (CIDR, 2005)

Towards Building a MetaQuerier: Extracting and Matching Web Query Interfaces. - Bin He 001; Zhen Zhang 001; Kevin Chen-Chuan Chang (ICDE, 2005)

Optimizing Access Cost for Top-k Queries over Web Sources: A Unified Cost-based Approach. - Seung-won Hwang; Kevin Chen-Chuan Chang (ICDE, 2005)

Enabling Ad-hoc Ranking for Data Retrieval. - Hwanjo Yu; Seung-won Hwang; Kevin Chen-Chuan Chang (ICDE, 2005)

Making holistic schema matching robust: an ensemble approach. - Bin He 001; Kevin Chen-Chuan Chang (KDD, 2005)

MetaQuerier: querying structured web sources on-the-fly. - Bin He 001; Zhen Zhang 001; Kevin Chen-Chuan Chang (SIGMOD Conference, 2005)

RankSQL: Query Algebra and Optimization for Relational Top-k Queries. - Chengkai Li 001; Kevin Chen-Chuan Chang; Ihab F. Ilyas; Sumin Song (SIGMOD Conference, 2005)

RankSQL: Supporting Ranking Queries in Relational Database Management Systems. - Chengkai Li 001; Mohamed A. Soliman; Kevin Chen-Chuan Chang; Ihab F. Ilyas (VLDB, 2005)

Light-weight Domain-based Form Assistant: Querying Web Databases On the Fly. - Zhen Zhang 001; Bin He 001; Kevin Chen-Chuan Chang (VLDB, 2005)

Query Routing: Finding Ways in the Maze of the DeepWeb. - Govind Kabra; Chengkai Li 001; Kevin Chen-Chuan Chang (WIRI, 2005)

Accessing the web: from search to integration. - Kevin Chen-Chuan Chang; Junghoo Cho (SIGMOD Conference, 2006)

Supporting ad-hoc ranking aggregates. - Chengkai Li 001; Kevin Chen-Chuan Chang; Ihab F. Ilyas (SIGMOD Conference, 2006)

Boolean + ranking: querying a database by k-constrained optimization. - Zhen Zhang 001; Seung-won Hwang; Kevin Chen-Chuan Chang; Min Wang 001; Christian A. Lang; Yuan-Chi Chang (SIGMOD Conference, 2006)

Automatic complex schema matching across Web query interfaces: A correlation mining approach. - Bin He 001; Kevin Chen-Chuan Chang (ACM Trans. Database Syst., 2006)

Entity Search Engine: Towards Agile Best-Effort Information Integration over the Web. - Tao Cheng 001; Kevin Chen-Chuan Chang (CIDR, 2007)

Collaborative Wrapping: A Turbo Framework for Web Data Extraction. - Shui-Lung Chuang; Kevin Chen-Chuan Chang; ChengXiang Zhai (ICDE, 2007)

Dewex: An Exploration Facility for Enabling the Deep Web Integration. - Govind Kabra; Zhen Zhang 001; Kevin Chen-Chuan Chang (ICDE, 2007)

Top-k Query Processing in Uncertain Databases. - Mohamed A. Soliman; Ihab F. Ilyas; Kevin Chen-Chuan Chang (ICDE, 2007)

Supporting entity search: a large-scale prototype search engine. - Tao Cheng 001; Xifeng Yan; Kevin Chen-Chuan Chang (SIGMOD Conference, 2007)

Supporting ranking and clustering as generalized order-by and group-by. - Chengkai Li 001; Min Wang 001; Lipyeow Lim; Haixun Wang; Kevin Chen-Chuan Chang (SIGMOD Conference, 2007)

URank: formulation and efficient evaluation of top-k queries in uncertain databases. - Mohamed A. Soliman; Ihab F. Ilyas; Kevin Chen-Chuan Chang (SIGMOD Conference, 2007)

Progressive and selective merge: computing top-k with ad-hoc ranking functions. - Dong Xin; Jiawei Han 001; Kevin Chen-Chuan Chang (SIGMOD Conference, 2007)

EntityRank: Searching Entities Directly and Holistically. - Tao Cheng 001; Xifeng Yan; Kevin Chen-Chuan Chang (VLDB, 2007)

Context-Aware Wrapping: Synchronized Data Extraction. - Shui-Lung Chuang; Kevin Chen-Chuan Chang; ChengXiang Zhai (VLDB, 2007)

Accessing the deep web. - Bin He 001; Mitesh Patel; Zhen Zhang 001; Kevin Chen-Chuan Chang (Commun. ACM, 2007)

Enabling soft queries for data retrieval. - Hwanjo Yu; Seung-won Hwang; Kevin Chen-Chuan Chang (Inf. Syst., 2007)

Probe Minimization by Schedule Optimization: Supporting Top-K Queries with Expensive Predicates. - Seung-won Hwang; Kevin Chen-Chuan Chang (IEEE Trans. Knowl. Data Eng., 2007)

Optimizing top-k queries for middleware access: A unified cost-based approach. - Seung-won Hwang; Kevin Chen-Chuan Chang (ACM Trans. Database Syst., 2007)

Integrating web query results: holistic schema matching. - Shui-Lung Chuang; Kevin Chen-Chuan Chang (CIKM, 2008)

Probabilistic top-k and ranking-aggregate queries. - Mohamed A. Soliman; Ihab F. Ilyas; Kevin Chen-Chuan Chang (ACM Trans. Database Syst., 2008)

Trustworthy keyword search for compliance storage. - Soumyadeb Mitra; Marianne Winslett; Windsor W. Hsu; Kevin Chen-Chuan Chang (VLDB J., 2008)

AIDE: ad-hoc intents detection engine over query logs. - Yunliang Jiang; Hui-Ting Yang; Kevin Chen-Chuan Chang; Yi-Shin Chen (SIGMOD Conference, 2009)

Deep-Web Search. - Kevin Chen-Chuan Chang (Encyclopedia of Database Systems, 2009)

Beyond pages: supporting efficient, scalable entity search with dual-inversion index. - Tao Cheng 001; Kevin Chen-Chuan Chang (EDBT, 2010)

Toward large scale data-aware search: Ranking, indexing, resolution and beyond. - Tao Cheng 001; Kevin Chen-Chuan Chang (ICDE Workshops, 2010)

DoCQS: a prototype system for supporting data-oriented content query. - Mianwei Zhou; Tao Cheng 001; Kevin Chen-Chuan Chang (SIGMOD Conference, 2010)

Data-oriented content query system: searching for data into text on the web. - Mianwei Zhou; Tao Cheng 001; Kevin Chen-Chuan Chang (WSDM, 2010)

Towards rich query interpretation: walking back and forth for mining query templates. - Ganesh Agarwal; Govind Kabra; Kevin Chen-Chuan Chang (WWW, 2010)

Case report: Enhancing laboratory report contents to improve outpatient management of test results. - Kevin Chen-Chuan Chang; J. Marc Overhage; Siu L. Hui; Martin Chieng Were (J. Am. Medical Informatics Assoc., 2010)

Searching patterns for relation extraction over the web: rediscovering the pattern-relation duality. - Yuan Fang 001; Kevin Chen-Chuan Chang (WSDM, 2011)

TEDAS: A Twitter-based Event Detection and Analysis System. - Rui Li 049; Kin Hou Lei; Ravi Khadiwala; Kevin Chen-Chuan Chang (ICDE, 2012)

Towards social user profiling: unified and discriminative influence model for inferring home locations. - Rui Li 049; Shengjie Wang; Hongbo Deng; Rui Wang; Kevin Chen-Chuan Chang (KDD, 2012)

Confidence-aware graph regularization with heterogeneous pairwise features. - Yuan Fang 001; Bo-June Paul Hsu; Kevin Chen-Chuan Chang (SIGIR, 2012)

Multiple Location Profiling for Users and Relationships from Social Network and Content. - Rui Li 049; Shengjie Wang; Kevin Chen-Chuan Chang (Proc. VLDB Endow., 2012)

Entity-centric document filtering: boosting feature mapping through meta-features. - Mianwei Zhou; Kevin Chen-Chuan Chang (CIKM, 2013)

RoundTripRank: Graph-based proximity with importance and specificity? - Yuan Fang 001; Kevin Chen-Chuan Chang; Hady Wirawan Lauw (ICDE, 2013)

Learning to rank from distant supervision: Exploiting noisy redundancy for relational entity search. - Mianwei Zhou; Hongning Wang; Kevin Chen-Chuan Chang (ICDE, 2013)

EgoNet-UIUC: A Dataset For Ego Network Research. - Rui Li 049; Kevin Chen-Chuan Chang (CoRR, 2013)

Towards Social Data Platform: Automatic Topic-focused Monitor for Twitter Stream. - Rui Li 049; Shengjie Wang; Kevin Chen-Chuan Chang (Proc. VLDB Endow., 2013)

Incremental and Accuracy-Aware Personalized PageRank through Scheduled Approximation. - Fanwei Zhu; Yuan Fang 001; Kevin Chen-Chuan Chang; Jing Ying (Proc. VLDB Endow., 2013)

Privacy Risk in Anonymized Heterogeneous Information Networks. - Aston Zhang; Xing Xie 001; Kevin Chen-Chuan Chang; Carl A. Gunter; Jiawei Han 001; XiaoFeng Wang 001 (EDBT, 2014)

Graph-based Semi-supervised Learning: Realizing Pointwise Smoothness Probabilistically. - Yuan Fang 001; Kevin Chen-Chuan Chang; Hady Wirawan Lauw (ICML, 2014)

Unifying learning to rank and domain adaptation: enabling cross-task document scoring. - Mianwei Zhou; Kevin Chen-Chuan Chang (KDD, 2014)

Towards a social media analytics platform: event detection and user profiling for twitter. - Manish Gupta 001; Rui Li 049; Kevin Chen-Chuan Chang (WWW (Companion Volume), 2014)

User profiling in an ego network: co-profiling attributes and relationships. - Rui Li 049; Chi Wang 001; Kevin Chen-Chuan Chang (WWW, 2014)

Front Matter. - Kevin Chen-Chuan Chang (Proc. VLDB Endow., 2014)

Mobile user verification/identification using statistical mobility profile. - Miao Lin; Hong Cao; Vincent W. Zheng; Kevin Chen-Chuan Chang; Shonali Krishnaswamy (BigComp, 2015)

IntelligShop: Enabling Intelligent Shopping in Malls through Location-Based Augmented Reality. - Aditi Adhikari; Vincent W. Zheng; Hong Cao; Miao Lin; Yuan Fang 001; Kevin Chen-Chuan Chang (ICDM Workshops, 2015)

Mobility Profiling for User Verification with Anonymized Location Data. - Miao Lin; Hong Cao; Vincent W. Zheng; Kevin Chen-Chuan Chang; Shonali Krishnaswamy (IJCAI, 2015)

Ushio: Analyzing News Media and Public Trends in Twitter. - Fangzhou Yao; Kevin Chen-Chuan Chang; Roy H. Campbell (UCC, 2015)

Network Cartography: Seeing the Forest and the Trees. - Jia Wang; Kevin Chen-Chuan Chang; Hari Sundaram (CoRR, 2015)

DATASPREAD: Unifying Databases and Spreadsheets. - Mangesh Bendre; Bofan Sun; Ding Zhang; Xinyan Zhou; Kevin Chen-Chuan Chang; Aditya G. Parameswaran (Proc. VLDB Endow., 2015)

Scheduled approximation for Personalized PageRank with Utility-based Hub Selection. - Fanwei Zhu; Yuan Fang 001; Kevin Chen-Chuan Chang; Jing Ying (VLDB J., 2015)

Cold-Start Heterogeneous-Device Wireless Localization. - Vincent W. Zheng; Hong Cao; Shenghua Gao; Aditi Adhikari; Miao Lin; Kevin Chen-Chuan Chang (AAAI, 2016)

Regularizing Structured Classifier with Conditional Probabilistic Constraints for Semi-supervised Learning. - Vincent Wenchen Zheng; Kevin Chen-Chuan Chang (CIKM, 2016)

Semantic proximity search on graphs with metagraph-based learning. - Yuan Fang 001; Wenqing Lin; Vincent Wenchen Zheng; Min Wu 008; Kevin Chen-Chuan Chang; Xiaoli Li 001 (ICDE, 2016)

Learning to query: Focused web page harvesting for entity aspects. - Yuan Fang 001; Vincent W. Zheng; Kevin Chen-Chuan Chang (ICDE, 2016)

Detecting signals of detrimental prescribing cascades from social media. - Tao Hoang; Jixue Liu; Nicole Pratt; Vincent W. Zheng; Kevin Chen-Chuan Chang; Elizabeth Roughead; Jiuyong Li (Artif. Intell. Medicine, 2016)

From Node Embedding To Community Embedding. - Vincent W. Zheng; Sandro Cavallari; Hongyun Cai 001; Kevin Chen-Chuan Chang; Erik Cambria (CoRR, 2016)

Semantic Proximity Search on Heterogeneous Graph by Proximity Embedding. - Zemin Liu; Vincent W. Zheng; Zhou Zhao 001; Fanwei Zhu; Kevin Chen-Chuan Chang; Minghui Wu 001; Jing Ying (AAAI, 2017)

Learning Community Embedding with Community Detection and Node Embedding on Graphs. - Sandro Cavallari; Vincent W. Zheng; Hongyun Cai 001; Kevin Chen-Chuan Chang; Erik Cambria (CIKM, 2017)

SocialLens: Searching and Browsing Communities by Content and Interaction. - Hongyun Cai 001; Vincent Wenchen Zheng; Penghe Chen; Fanwei Zhu; Kevin Chen-Chuan Chang; Zi Huang (ICDE, 2017)

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 (ICDM, 2017)

Topological Recurrent Neural Network for Diffusion Prediction. - Jia Wang; Vincent W. Zheng; Zemin Liu; Kevin Chen-Chuan Chang (ICDM, 2017)

Active Learning for Graph Embedding. - Hongyun Cai 001; Vincent Wenchen Zheng; Kevin Chen-Chuan Chang (CoRR, 2017)

CONE: Community Oriented Network Embedding. - Carl Yang 001; Hanqing Lu; Kevin Chen-Chuan Chang (CoRR, 2017)

Motif-based Convolutional Neural Network on Graphs. - Aravind Sankar; Xinyang Zhang 002; Kevin Chen-Chuan Chang (CoRR, 2017)

From Community Detection to Community Profiling. - Hongyun Cai 001; Vincent Wenchen Zheng; Fanwei Zhu; Kevin Chen-Chuan Chang; Zi Huang (Proc. VLDB Endow., 2017)

Distance-Aware DAG Embedding for Proximity Search on Heterogeneous Graphs. - Zemin Liu; Vincent W. Zheng; Zhou Zhao 001; Fanwei Zhu; Kevin Chen-Chuan Chang; Minghui Wu 001; Jing Ying (AAAI, 2018)

Characterizing Scalability Issues in Spreadsheet Software using Online Forums. - Kelly Mack; John Lee 005; Kevin Chen-Chuan Chang; Karrie Karahalios; Aditya G. Parameswaran (CHI Extended Abstracts, 2018)

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 (ICDE, 2018)

Heterogeneous Embedding Propagation for Large-Scale E-Commerce User Alignment. - Vincent W. Zheng; Mo Sha 002; Yuchen Li 001; Hongxia Yang; Yuan Fang 001; Zhenjie Zhang; Kian-Lee Tan; Kevin Chen-Chuan Chang (ICDM, 2018)

Subgraph-augmented Path Embedding for Semantic User Search on Heterogeneous Social Network. - Zemin Liu; Vincent W. Zheng; Zhou Zhao 001; Hongxia Yang; Kevin Chen-Chuan Chang; Minghui Wu 001; Jing Ying (WWW, 2018)

Leveraging Fine-Grained Wikipedia Categories for Entity Search. - Denghao Ma; Yueguo Chen; Kevin Chen-Chuan Chang; Xiaoyong Du 001; Chuanfei Xu; Yi Chang 001 (WWW, 2018)

Authenticity and credibility aware detection of adverse drug events from social media. - Tao Hoang; Jixue Liu; Nicole Pratt; Vincent W. Zheng; Kevin Chen-Chuan Chang; Elizabeth Roughead; Jiuyong Li (Int. J. Medical Informatics, 2018)

Semi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Model. - Chaochao Chen 001; Kevin Chen-Chuan Chang; Qibing Li; Xiaolin Zheng (ACM Trans. Knowl. Discov. Data, 2018)

A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications. - Hongyun Cai 001; Vincent W. Zheng; Kevin Chen-Chuan Chang (IEEE Trans. Knowl. Data Eng., 2018)

Deep-Web Search. - Kevin Chen-Chuan Chang (Encyclopedia of Database Systems (2nd ed.), 2018)

Hierarchical multi-armed bandits for discovering hidden populations. - Suhansanu Kumar; Heting Gao; Changyu Wang; Kevin Chen-Chuan Chang; Hari Sundaram (ASONAM, 2019)

Meta-GNN: metagraph neural network for semi-supervised learning in attributed heterogeneous information networks. - Aravind Sankar; Xinyang Zhang 002; Kevin Chen-Chuan Chang (ASONAM, 2019)

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 (ICDE, 2019)

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 (ICDE, 2019)

Relationship Profiling over Social Networks: Reverse Smoothness from Similarity to Closeness. - Carl Yang 001; Kevin Chang 001 (SDM, 2019)

Anti-Freeze for Large and Complex Spreadsheets: Asynchronous Formula Computation. - Mangesh Bendre; Tana Wattanawaroon; Kelly Mack; Kevin Chang 001; Aditya G. Parameswaran (SIGMOD Conference, 2019)

Embedding Both Finite and Infinite Communities on Graphs [Application Notes]. - Sandro Cavallari; Erik Cambria; Hongyun Cai 001; Kevin Chen-Chuan Chang; Vincent W. Zheng (IEEE Comput. Intell. Mag., 2019)

Mining Hidden Populations through Attributed Search. - Suhansanu Kumar; Heting Gao; Changyu Wang; Hari Sundaram; Kevin Chen-Chuan Chang (CoRR, 2019)

Nonintrusive Smartphone User Verification Using Anonymized Multimodal Data. - Hong Cao; Kevin Chen-Chuan Chang (IEEE Trans. Knowl. Data Eng., 2019)

M-Cypher: A GQL Framework Supporting Motifs. - Xiaodong Li 009; Reynold Cheng; Matin Najafi; Kevin Chen-Chuan Chang; Xiaolin Han 002; Hongtai Cao (CIKM, 2020)

Exploring Semantic Capacity of Terms. - Jie Huang 009; Zilong Wang 002; Kevin Chang 001; Wen-Mei Hwu; Jinjun Xiong (EMNLP (1), 2020)

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 001 (ICDE, 2020)

GraphEBM: Energy-based Graph Construction for Semi-Supervised Learning. - Zhijie Chen; Hongtai Cao; Kevin Chen-Chuan Chang (ICDM, 2020)

Geom-GCN: Geometric Graph Convolutional Networks. - Hongbin Pei; Bingzhe Wei; Kevin Chen-Chuan Chang; Yu Lei 004; Bo Yang 002 (ICLR, 2020)

Curvature Regularization to Prevent Distortion in Graph Embedding. - Hongbin Pei; Bingzhe Wei; Kevin Chang 001; Chunxu Zhang; Bo Yang 002 (NeurIPS, 2020)

ROSE: Role-based Signed Network Embedding. - Amin Javari; Tyler Derr; Pouya Esmailian; Jiliang Tang; Kevin Chen-Chuan Chang (WWW, 2020)

Weakly Supervised Attention for Hashtag Recommendation using Graph Data. - Amin Javari; Zhankui He; Zijie Huang 002; Jeetu Raj; Kevin Chen-Chuan Chang (WWW, 2020)

Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach. - Jie Huang 009; Kevin Chang 001; Jinjun Xiong; Wen-Mei Hwu (ACL/IJCNLP (1), 2021)

CoVA: Context-aware Visual Attention for Webpage Information Extraction. - Anurendra Kumar; Keval Morabia; Jingjin Wang; Kevin Chen-Chuan Chang; Alexander G. Schwing (CoRR, 2021)

CDM: Combining Extraction and Generation for Definition Modeling. - Jie Huang 009; Hanyin Shao; Kevin Chen-Chuan Chang (CoRR, 2021)

On Analyzing Graphs with Motif-Paths. - Xiaodong Li 009; Reynold Cheng; Kevin Chen-Chuan Chang; Caihua Shan; Chenhao Ma 001; Hongtai Cao (Proc. VLDB Endow., 2021)

Metagraph-Based Learning on Heterogeneous Graphs. - Yuan Fang 001; Wenqing Lin; Vincent W. Zheng; Min Wu 008; Jiaqi Shi; Kevin Chen-Chuan Chang; Xiaoli Li 001 (IEEE Trans. Knowl. Data Eng., 2021)

Open Relation Modeling: Learning to Define Relations between Entities. - Jie Huang 009; Kevin Chang 001; Jinjun Xiong; Wen-Mei Hwu (ACL (Findings), 2022)

Domain Representative Keywords Selection: A Probabilistic Approach. - Pritom Saha Akash; Jie Huang 009; Kevin Chen-Chuan Chang; Yunyao Li 001; Lucian Popa 001; ChengXiang Zhai (ACL (Findings), 2022)

Are Large Pre-Trained Language Models Leaking Your Personal Information? - Jie Huang 009; Hanyin Shao; Kevin Chen-Chuan Chang (EMNLP (Findings), 2022)

Understanding Jargon: Combining Extraction and Generation for Definition Modeling. - Jie Huang 009; Hanyin Shao; Kevin Chen-Chuan Chang; Jinjun Xiong; Wen-Mei Hwu (EMNLP, 2022)

DEER: Descriptive Knowledge Graph for Explaining Entity Relationships. - Jie Huang 009; Kerui Zhu; Kevin Chen-Chuan Chang; Jinjun Xiong; Wen-Mei Hwu (EMNLP, 2022)

Coordinated Topic Modeling. - Pritom Saha Akash; Jie Huang 009; Kevin Chen-Chuan Chang (EMNLP, 2022)

Unified and Incremental SimRank: Index-free Approximation with Scheduled Principle (Extended Abstract). - Fanwei Zhu; Yuan Fang 001; Kai Zhang 033; Kevin Chen-Chuan Chang; Hongtai Cao; Zhen Jiang; Minghui Wu 001 (ICDE, 2022)

DKG: A Descriptive Knowledge Graph for Explaining Relationships between Entities. - Jie Huang 009; Kerui Zhu; Kevin Chen-Chuan Chang; Jinjun Xiong; Wen-Mei Hwu (CoRR, 2022)

VER: Learning Natural Language Representations for Verbalizing Entities and Relations. - Jie Huang 009; Kevin Chen-Chuan Chang (CoRR, 2022)

Active Surveillance via Group Sparse Bayesian Learning. - Hongbin Pei; Bo Yang 002; Jiming Liu 001; Kevin Chen-Chuan Chang (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Decision tree Thompson sampling for mining hidden populations through attributed search. - Suhansanu Kumar; Heting Gao; Changyu Wang; Kevin Chen-Chuan Chang; Hari Sundaram (Soc. Netw. Anal. Min., 2022)

Heterogeneous Network Crawling: Reaching Target Nodes by Motif-Guided Navigation. - Changyu Wang; Kevin Chen-Chuan Chang; Pinghui Wang; Tao Qin 002; Xiaohong Guan (IEEE Trans. Knowl. Data Eng., 2022)

Towards Reasoning in Large Language Models: A Survey. - Jie Huang 009; Kevin Chen-Chuan Chang (ACL (Findings), 2023)

Can Language Models Be Specific? How? - Jie Huang 009; Kevin Chen-Chuan Chang; Jinjun Xiong; Wen-Mei Hwu (ACL (Findings), 2023)

Unsupervised Open-domain Keyphrase Generation. - Lam Do; Pritom Saha Akash; Kevin Chen-Chuan Chang (ACL (1), 2023)

DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept Relationships. - Chenzhengyi Liu; Jie Huang 009; Kerui Zhu; Kevin Chen-Chuan Chang (ACL (1), 2023)

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 001 (ACL (1), 2023)

A Principled Decomposition of Pointwise Mutual Information for Intention Template Discovery. - Denghao Ma; Kevin Chen-Chuan Chang; Yueguo Chen; Xueqiang Lv; Liang Shen (CIKM, 2023)

Text Fact Transfer. - Nishant Balepur; Jie Huang 009; Kevin Chen-Chuan Chang (EMNLP, 2023)

Expository Text Generation: Imitate, Retrieve, Paraphrase. - Nishant Balepur; Jie Huang 009; Kevin Chen-Chuan Chang (EMNLP, 2023)

VER: Unifying Verbalizing Entities and Relations. - Jie Huang 009; Kevin Chang 001 (EMNLP (Findings), 2023)

Ask To The Point: Open-Domain Entity-Centric Question Generation. - Yuxiang Liu; Jie Huang 009; Kevin Chen-Chuan Chang (EMNLP (Findings), 2023)

Abstractive Open Information Extraction. - Kevin Pei; Ishan Jindal; Kevin Chen-Chuan Chang (EMNLP, 2023)

Descriptive Knowledge Graph in Biomedical Domain. - Kerui Zhu; Jie Huang 009; Kevin Chen-Chuan Chang (EMNLP (Demos), 2023)

Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs. - Jinyang Li 003; Binyuan Hui; Ge Qu; Jiaxi Yang; Binhua Li; Bowen Li 002; Bailin Wang; Bowen Qin; Ruiying Geng; Nan Huo; Xuanhe Zhou; Chenhao Ma 001; et al. (NeurIPS, 2023)

Why Does ChatGPT Fall Short in Answering Questions Faithfully? - Shen Zheng 001; Jie Huang 009; Kevin Chen-Chuan Chang (CoRR, 2023)

Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs. - Jinyang Li 003; Binyuan Hui; Ge Qu; Binhua Li; Jiaxi Yang; Bowen Li 002; Bailin Wang; Bowen Qin; Rongyu Cao; Ruiying Geng; Nan Huo; Xuanhe Zhou; et al. (CoRR, 2023)

CCGen: Explainable Complementary Concept Generation in E-Commerce. - Jie Huang 009; Yifan Gao 001; Zheng Li 018; Jingfeng Yang 001; Yangqiu Song; Chao Zhang 014; Zining Zhu 001; Haoming Jiang; Kevin Chen-Chuan Chang; Bing Yin (CoRR, 2023)

Mastering the ABCDs of Complex Questions: Answer-Based Claim Decomposition for Fine-grained Self-Evaluation. - Nishant Balepur; Jie Huang 009; Samraj Moorjani; Hari Sundaram; Kevin Chen-Chuan Chang (CoRR, 2023)

Unsupervised Open-domain Keyphrase Generation. - Lam Thanh Do; Pritom Saha Akash; Kevin Chen-Chuan Chang (CoRR, 2023)

RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models. - Jie Huang 009; Wei Ping; Peng Xu 008; Mohammad Shoeybi; Kevin Chen-Chuan Chang; Bryan Catanzaro (CoRR, 2023)

GPT-Fathom: Benchmarking Large Language Models to Decipher the Evolutionary Path towards GPT-4 and Beyond. - Shen Zheng 001; Yuyu Zhang; Yijie Zhu; Chenguang Xi; Pengyang Gao; Xun Zhou; Kevin Chen-Chuan Chang (CoRR, 2023)

TopicAdapt- An Inter-Corpora Topics Adaptation Approach. - Pritom Saha Akash; Trisha Das; Kevin Chen-Chuan Chang (CoRR, 2023)

Let the Pretrained Language Models "Imagine" for Short Texts Topic Modeling. - Pritom Saha Akash; Jie Huang 009; Kevin Chen-Chuan Chang (CoRR, 2023)

Long-form Question Answering: An Iterative Planning-Retrieval-Generation Approach. - Pritom Saha Akash; Kashob Kumar Roy; Lucian Popa 001; Kevin Chen-Chuan Chang (CoRR, 2023)

Unified and Incremental SimRank: Index-Free Approximation With Scheduled Principle. - Fanwei Zhu; Yuan Fang 001; Kai Zhang 033; Kevin Chen-Chuan Chang; Hongtai Cao; Zhen Jiang; Minghui Wu 001 (IEEE Trans. Knowl. Data Eng., 2023)

SocialSift: Target Query Discovery on Online Social Media With Deep Reinforcement Learning. - Changyu Wang; Pinghui Wang; Tao Qin 002; Chenxu Wang 001; Suhansanu Kumar; Xiaohong Guan; Jun Liu 002; Kevin Chen-Chuan Chang (IEEE Trans. Neural Networks Learn. Syst., 2023)

Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage. - Hanyin Shao; Jie Huang 009; Shen Zheng 001; Kevin Chang 001 (EACL (Findings), 2024)

Enhancing Short-Text Topic Modeling with LLM-Driven Context Expansion and Prefix-Tuned VAEs. - Pritom Saha Akash; Kevin Chen-Chuan Chang (EMNLP (Findings), 2024)

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 001 (EMNLP (Findings), 2024)

Large Subgraph Matching: A Comprehensive and Efficient Approach for Heterogeneous Graphs. - Hongtai Cao; Qihao Wang; Xiaodong Li 009; Matin Najafi; Kevin Chen-Chuan Chang; Reynold Cheng (ICDE, 2024)

From Motif to Path: Connectivity and Homophily. - Qihao Wang; Hongtai Cao; Xiaodong Li 009; Kevin Chen-Chuan Chang; Reynold Cheng (ICDE, 2024)

Citation: A Key to Building Responsible and Accountable Large Language Models. - Jie Huang 009; Kevin Chang 001 (NAACL-HLT (Findings), 2024)

GPT-Fathom: Benchmarking Large Language Models to Decipher the Evolutionary Path towards GPT-4 and Beyond. - Shen Zheng 001; Yuyu Zhang; Yijie Zhu; Chenguang Xi; Pengyang Gao; Zhou Xun; Kevin Chang 001 (NAACL-HLT (Findings), 2024)

Cascade Speculative Drafting for Even Faster LLM Inference. - Ziyi Chen 003; Xiaocong Yang; Jiacheng Lin; Chenkai Sun; Kevin Chen-Chuan Chang; Jie Huang 009 (NeurIPS, 2024)

Investigating Instruction Tuning Large Language Models on Graphs. - Kerui Zhu; Bo-Wei Huang; Bowen Jin; Yizhu Jiao; Ming Zhong 005; Kevin Chang 001; Shou-De Lin; Jiawei Han 001 (CoRR, 2024)

Query Optimization for Parametric Knowledge Refinement in Retrieval-Augmented Large Language Models. - Youan Cong; Cheng Wang; Pritom Saha Akash; Kevin Chen-Chuan Chang (CoRR, 2024)

Understanding Cross-Domain Adaptation in Low-Resource Topic Modeling. - Pritom Saha Akash; Kevin Chen-Chuan Chang (ACL (1), 2025)

ERU-KG: Efficient Reference-aligned Unsupervised Keyphrase Generation. - Lam Thanh Do; Aaditya Bodke; Pritom Saha Akash; Kevin Chen-Chuan Chang (ACL (1), 2025)

Writing Like the Best: Exemplar-Based Expository Text Generation. - Yuxiang Liu; Kevin Chen-Chuan Chang (ACL (1), 2025)

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 (ACL (Findings), 2025)

MuSha: Subgraph Matching by Multilevel Sharing. - Hongtai Cao; Qihao Wang; Xiaodong Li 009; Mohammad Matin Najafi; Kevin Chen-Chuan Chang; Reynold Cheng (ICDE, 2025)

RL-based Query Rewriting with Distilled LLM for online E-Commerce Systems. - Duy A. Nguyen; Rishi Kesav Mohan; Van Yang; Pritom Saha Akash; Kevin Chen-Chuan Chang (CoRR, 2025)

CASPER: Concept-integrated Sparse Representation for Scientific Retrieval. - Lam Thanh Do; Linh Van Nguyen; David Fu; Kevin Chen-Chuan Chang (CoRR, 2025)