Kevin Chen-Chuan Chang

227 papers A* 57A 11B 4Misc 1Journal 102Unranked 49

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AttentionRetriever: Attention Layers are Secretly Long Document Retrievers. CoRR David Jiahao Fu, Lam Thanh Do, Jiayu Li, Kevin Chen-Chuan Chang
2026	J	`jnl`	IRB: Automated Generation of Robust Factuality Benchmarks. CoRR Lam Thanh Do, Bhagyashree Taleka, Hozaifa Ammar Bhutta, Vikram Sharma Mailthody, Kevin Chen-Chuan Chang, Wen-mei W. Hwu
2025	J	`jnl`	CASPER: Concept-integrated Sparse Representation for Scientific Retrieval. CoRR Lam Thanh Do, Linh Van Nguyen, David Fu, Kevin Chen-Chuan Chang
2025	—	`conf`	ERU-KG: Efficient Reference-aligned Unsupervised Keyphrase Generation. ACL (1) Lam Thanh Do, Aaditya Bodke, Pritom Saha Akash, Kevin Chen-Chuan Chang
2025	J	`jnl`	ERU-KG: Efficient Reference-aligned Unsupervised Keyphrase Generation. CoRR Lam Thanh Do, Aaditya Bodke, Pritom Saha Akash, Kevin Chen-Chuan Chang
2025	—	`conf`	MiniELM: A Lightweight and Adaptive Query Rewriting Framework for E-Commerce Search Optimization. ACL (Findings) Duy A. Nguyen, Rishi Kesav Mohan, Shimeng Yang, Pritom Saha Akash, Kevin Chen-Chuan Chang
2025	A*	`conf`	MuSha: Subgraph Matching by Multilevel Sharing. ICDE Hongtai Cao, Qihao Wang, Xiaodong Li, Mohammad Matin Najafi, Kevin Chen-Chuan Chang, Reynold Cheng
2025	J	`jnl`	On Recommending Category: A Cascading Approach. CoRR Qihao Wang, Pritom Saha Akash, Varvara Kollia, Kevin Chen-Chuan Chang, Biwei Jiang, Vadim von Brzeski
2025	—	`conf`	Query Optimization for Parametric Knowledge Refinement in Retrieval-Augmented Large Language Models. EMNLP (Findings) Youan Cong, Pritom Saha Akash, Cheng Wang, Kevin Chen-Chuan Chang
2025	J	`jnl`	RL-based Query Rewriting with Distilled LLM for online E-Commerce Systems. CoRR Duy A. Nguyen, Rishi Kesav Mohan, Van Yang, Pritom Saha Akash, Kevin Chen-Chuan Chang
2025	—	`conf`	Understanding Cross-Domain Adaptation in Low-Resource Topic Modeling. ACL (1) Pritom Saha Akash, Kevin Chen-Chuan Chang
2025	J	`jnl`	Understanding Cross-Domain Adaptation in Low-Resource Topic Modeling. CoRR Pritom Saha Akash, Kevin Chen-Chuan Chang
2025	—	`conf`	Writing Like the Best: Exemplar-Based Expository Text Generation. ACL (1) Yuxiang Liu, Kevin Chen-Chuan Chang
2025	J	`jnl`	Writing Like the Best: Exemplar-Based Expository Text Generation. CoRR Yuxiang Liu, Kevin Chen-Chuan Chang
2024	A*	`conf`	Cascade Speculative Drafting for Even Faster LLM Inference. NeurIPS Ziyi Chen, Xiaocong Yang, Jiacheng Lin, Chenkai Sun, Kevin Chen-Chuan Chang, Jie Huang
2024	—	`conf`	ConTReGen: Context-driven Tree-structured Retrieval for Open-domain Long-form Text Generation. EMNLP (Findings) Kashob Kumar Roy, Pritom Saha Akash, Kevin Chen-Chuan Chang, Lucian Popa
2024	J	`jnl`	ConTReGen: Context-driven Tree-structured Retrieval for Open-domain Long-form Text Generation. CoRR Kashob Kumar Roy, Pritom Saha Akash, Kevin Chen-Chuan Chang, Lucian Popa
2024	—	`conf`	Enhancing Short-Text Topic Modeling with LLM-Driven Context Expansion and Prefix-Tuned VAEs. EMNLP (Findings) Pritom Saha Akash, Kevin Chen-Chuan Chang
2024	J	`jnl`	Enhancing Short-Text Topic Modeling with LLM-Driven Context Expansion and Prefix-Tuned VAEs. CoRR Pritom Saha Akash, Kevin Chen-Chuan Chang
2024	A*	`conf`	From Motif to Path: Connectivity and Homophily. ICDE Qihao Wang, Hongtai Cao, Xiaodong Li, Kevin Chen-Chuan Chang, Reynold Cheng
2024	A*	`conf`	Large Subgraph Matching: A Comprehensive and Efficient Approach for Heterogeneous Graphs. ICDE Hongtai Cao, Qihao Wang, Xiaodong Li, Matin Najafi, Kevin Chen-Chuan Chang, Reynold Cheng
2024	J	`jnl`	Query Optimization for Parametric Knowledge Refinement in Retrieval-Augmented Large Language Models. CoRR Youan Cong, Cheng Wang, Pritom Saha Akash, Kevin Chen-Chuan Chang
2023	A	`conf`	A Principled Decomposition of Pointwise Mutual Information for Intention Template Discovery. CIKM Denghao Ma, Kevin Chen-Chuan Chang, Yueguo Chen, Xueqiang Lv, Liang Shen
2023	A*	`conf`	Abstractive Open Information Extraction. EMNLP Kevin Pei, Ishan Jindal, Kevin Chen-Chuan Chang
2023	—	`conf`	Ask To The Point: Open-Domain Entity-Centric Question Generation. EMNLP (Findings) Yuxiang Liu, Jie Huang, Kevin Chen-Chuan Chang
2023	J	`jnl`	Ask To The Point: Open-Domain Entity-Centric Question Generation. CoRR Yuxiang Liu, Jie Huang, Kevin Chen-Chuan Chang
2023	J	`jnl`	CCGen: Explainable Complementary Concept Generation in E-Commerce. CoRR Jie Huang, Yifan Gao, Zheng Li, Jingfeng Yang, Yangqiu Song, Chao Zhang, Zining Zhu, Haoming Jiang, Kevin Chen-Chuan Chang, Bing Yin
2023	A*	`conf`	Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs. NeurIPS Jinyang Li, Binyuan Hui, Ge Qu, Jiaxi Yang, Binhua Li, Bowen Li, Bailin Wang, Bowen Qin, Ruiying Geng, Nan Huo, Xuanhe Zhou, Chenhao Ma, Guoliang Li, Kevin Chen-Chuan Chang, Fei Huang, Reynold Cheng, Yongbin Li
2023	J	`jnl`	Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs. CoRR Jinyang Li, Binyuan Hui, Ge Qu, Binhua Li, Jiaxi Yang, Bowen Li, Bailin Wang, Bowen Qin, Rongyu Cao, Ruiying Geng, Nan Huo, Xuanhe Zhou, Chenhao Ma, Guoliang Li, Kevin Chen-Chuan Chang, Fei Huang, Reynold Cheng, Yongbin Li
2023	—	`conf`	Can Language Models Be Specific? How? ACL (Findings) Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu
2023	J	`jnl`	Cascade Speculative Drafting for Even Faster LLM Inference. CoRR Ziyi Chen, Xiaocong Yang, Jiacheng Lin, Chenkai Sun, Jie Huang, Kevin Chen-Chuan Chang
2023	J	`jnl`	Citation: A Key to Building Responsible and Accountable Large Language Models. CoRR Jie Huang, Kevin Chen-Chuan Chang
2023	—	`conf`	Descriptive Knowledge Graph in Biomedical Domain. EMNLP (Demos) Kerui Zhu, Jie Huang, Kevin Chen-Chuan Chang
2023	J	`jnl`	Descriptive Knowledge Graph in Biomedical Domain. CoRR Kerui Zhu, Jie Huang, Kevin Chen-Chuan Chang
2023	—	`conf`	DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept Relationships. ACL (1) Chenzhengyi Liu, Jie Huang, Kerui Zhu, Kevin Chen-Chuan Chang
2023	A*	`conf`	Expository Text Generation: Imitate, Retrieve, Paraphrase. EMNLP Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang
2023	J	`jnl`	Expository Text Generation: Imitate, Retrieve, Paraphrase. CoRR Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang
2023	J	`jnl`	GPT-Fathom: Benchmarking Large Language Models to Decipher the Evolutionary Path towards GPT-4 and Beyond. CoRR Shen Zheng, Yuyu Zhang, Yijie Zhu, Chenguang Xi, Pengyang Gao, Xun Zhou, Kevin Chen-Chuan Chang
2023	J	`jnl`	Let the Pretrained Language Models "Imagine" for Short Texts Topic Modeling. CoRR Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang
2023	J	`jnl`	Long-form Question Answering: An Iterative Planning-Retrieval-Generation Approach. CoRR Pritom Saha Akash, Kashob Kumar Roy, Lucian Popa, Kevin Chen-Chuan Chang
2023	J	`jnl`	Mastering the ABCDs of Complex Questions: Answer-Based Claim Decomposition for Fine-grained Self-Evaluation. CoRR Nishant Balepur, Jie Huang, Samraj Moorjani, Hari Sundaram, Kevin Chen-Chuan Chang
2023	J	`jnl`	Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage. CoRR Hanyin Shao, Jie Huang, Shen Zheng, Kevin Chen-Chuan Chang
2023	J	`jnl`	RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models. CoRR Jie Huang, Wei Ping, Peng Xu, Mohammad Shoeybi, Kevin Chen-Chuan Chang, Bryan Catanzaro
2023	J	`jnl`	SocialSift: Target Query Discovery on Online Social Media With Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Changyu Wang, Pinghui Wang, Tao Qin, Chenxu Wang, Suhansanu Kumar, Xiaohong Guan, Jun Liu, Kevin Chen-Chuan Chang
2023	A*	`conf`	Text Fact Transfer. EMNLP Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang
2023	J	`jnl`	Text Fact Transfer. CoRR Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang
2023	J	`jnl`	TopicAdapt- An Inter-Corpora Topics Adaptation Approach. CoRR Pritom Saha Akash, Trisha Das, Kevin Chen-Chuan Chang
2023	—	`conf`	Towards Reasoning in Large Language Models: A Survey. ACL (Findings) Jie Huang, Kevin Chen-Chuan Chang
2023	J	`jnl`	Unified and Incremental SimRank: Index-Free Approximation With Scheduled Principle. IEEE Trans. Knowl. Data Eng. Fanwei Zhu, Yuan Fang, Kai Zhang, Kevin Chen-Chuan Chang, Hongtai Cao, Zhen Jiang, Minghui Wu
2023	—	`conf`	Unsupervised Open-domain Keyphrase Generation. ACL (1) Lam Do, Pritom Saha Akash, Kevin Chen-Chuan Chang
2023	J	`jnl`	Unsupervised Open-domain Keyphrase Generation. CoRR Lam Thanh Do, Pritom Saha Akash, Kevin Chen-Chuan Chang
2023	—	`conf`	When to Use What: An In-Depth Comparative Empirical Analysis of OpenIE Systems for Downstream Applications. ACL (1) Kevin Pei, Ishan Jindal, Kevin Chen-Chuan Chang, ChengXiang Zhai, Yunyao Li
2023	J	`jnl`	Why Does ChatGPT Fall Short in Answering Questions Faithfully? CoRR Shen Zheng, Jie Huang, Kevin Chen-Chuan Chang
2022	J	`jnl`	Active Surveillance via Group Sparse Bayesian Learning. IEEE Trans. Pattern Anal. Mach. Intell. Hongbin Pei, Bo Yang, Jiming Liu, Kevin Chen-Chuan Chang
2022	—	`conf`	Are Large Pre-Trained Language Models Leaking Your Personal Information? EMNLP (Findings) Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang
2022	J	`jnl`	Are Large Pre-Trained Language Models Leaking Your Personal Information? CoRR Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang
2022	J	`jnl`	Can Language Models Be Specific? How? CoRR Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu
2022	A*	`conf`	Coordinated Topic Modeling. EMNLP Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang
2022	J	`jnl`	Coordinated Topic Modeling. CoRR Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang
2022	A*	`conf`	DEER: Descriptive Knowledge Graph for Explaining Entity Relationships. EMNLP Jie Huang, Kerui Zhu, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu
2022	J	`jnl`	DKG: A Descriptive Knowledge Graph for Explaining Relationships between Entities. CoRR Jie Huang, Kerui Zhu, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu
2022	J	`jnl`	Decision tree Thompson sampling for mining hidden populations through attributed search. Soc. Netw. Anal. Min. Suhansanu Kumar, Heting Gao, Changyu Wang, Kevin Chen-Chuan Chang, Hari Sundaram
2022	J	`jnl`	DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept Relationships. CoRR Chenzhengyi Liu, Jie Huang, Kerui Zhu, Kevin Chen-Chuan Chang
2022	—	`conf`	Domain Representative Keywords Selection: A Probabilistic Approach. ACL (Findings) Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang, Yunyao Li, Lucian Popa, ChengXiang Zhai
2022	J	`jnl`	Domain Representative Keywords Selection: A Probabilistic Approach. CoRR Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang, Yunyao Li, Lucian Popa, ChengXiang Zhai
2022	J	`jnl`	Heterogeneous Network Crawling: Reaching Target Nodes by Motif-Guided Navigation. IEEE Trans. Knowl. Data Eng. Changyu Wang, Kevin Chen-Chuan Chang, Pinghui Wang, Tao Qin, Xiaohong Guan
2022	J	`jnl`	Towards Reasoning in Large Language Models: A Survey. CoRR Jie Huang, Kevin Chen-Chuan Chang
2022	A*	`conf`	Understanding Jargon: Combining Extraction and Generation for Definition Modeling. EMNLP Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu
2022	A*	`conf`	Unified and Incremental SimRank: Index-free Approximation with Scheduled Principle (Extended Abstract). ICDE Fanwei Zhu, Yuan Fang, Kai Zhang, Kevin Chen-Chuan Chang, Hongtai Cao, Zhen Jiang, Minghui Wu
2022	J	`jnl`	VER: Learning Natural Language Representations for Verbalizing Entities and Relations. CoRR Jie Huang, Kevin Chen-Chuan Chang
2022	J	`jnl`	When to Use What: An In-Depth Comparative Empirical Analysis of OpenIE Systems for Downstream Applications. CoRR Kevin Pei, Ishan Jindal, Kevin Chen-Chuan Chang, ChengXiang Zhai, Yunyao Li
2021	J	`jnl`	CDM: Combining Extraction and Generation for Definition Modeling. CoRR Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang
2021	J	`jnl`	CoVA: Context-aware Visual Attention for Webpage Information Extraction. CoRR Anurendra Kumar, Keval Morabia, Jingjin Wang, Kevin Chen-Chuan Chang, Alexander G. Schwing
2021	J	`jnl`	Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach. CoRR Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-mei W. Hwu
2021	J	`jnl`	Metagraph-Based Learning on Heterogeneous Graphs. IEEE Trans. Knowl. Data Eng. Yuan Fang, Wenqing Lin, Vincent W. Zheng, Min Wu, Jiaqi Shi, Kevin Chen-Chuan Chang, Xiaoli Li
2021	J	`jnl`	On Analyzing Graphs with Motif-Paths. Proc. VLDB Endow. Xiaodong Li, Reynold Cheng, Kevin Chen-Chuan Chang, Caihua Shan, Chenhao Ma, Hongtai Cao
2021	J	`jnl`	Open Relation Modeling: Learning to Define Relations between Entities. CoRR Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-mei W. Hwu
2020	J	`jnl`	Curvature Regularization to Prevent Distortion in Graph Embedding. CoRR Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Chunxu Zhang, Bo Yang
2020	J	`jnl`	Exploring Semantic Capacity of Terms. CoRR Jie Huang, Zilong Wang, Kevin Chen-Chuan Chang, Wen-Mei Hwu, Jinjun Xiong
2020	A*	`conf`	Geom-GCN: Geometric Graph Convolutional Networks. ICLR Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Yu Lei, Bo Yang
2020	J	`jnl`	Geom-GCN: Geometric Graph Convolutional Networks. CoRR Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Yu Lei, Bo Yang
2020	A*	`conf`	GraphEBM: Energy-based Graph Construction for Semi-Supervised Learning. ICDM Zhijie Chen, Hongtai Cao, Kevin Chen-Chuan Chang
2020	A	`conf`	M-Cypher: A GQL Framework Supporting Motifs. CIKM Xiaodong Li, Reynold Cheng, Matin Najafi, Kevin Chen-Chuan Chang, Xiaolin Han, Hongtai Cao
2020	A*	`conf`	MC-Explorer: Analyzing and Visualizing Motif-Cliques on Large Networks. ICDE Boxuan Li, Reynold Cheng, Jiafeng Hu, Yixiang Fang, Min Ou, Ruibang Luo, Kevin Chen-Chuan Chang, Xuemin Lin
2020	A*	`conf`	ROSE: Role-based Signed Network Embedding. WWW Amin Javari, Tyler Derr, Pouya Esmailian, Jiliang Tang, Kevin Chen-Chuan Chang
2020	J	`jnl`	Semi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Model. CoRR Chaochao Chen, Kevin Chen-Chuan Chang, Qibing Li, Xiaolin Zheng
2020	A*	`conf`	Weakly Supervised Attention for Hashtag Recommendation using Graph Data. WWW Amin Javari, Zhankui He, Zijie Huang, Jeetu Raj, Kevin Chen-Chuan Chang
2019	A*	`conf`	Discovering Maximal Motif Cliques in Large Heterogeneous Information Networks. ICDE Jiafeng Hu, Reynold Cheng, Kevin Chen-Chuan Chang, Aravind Sankar, Yixiang Fang, Brian Y. H. Lam
2019	J	`jnl`	Embedding Both Finite and Infinite Communities on Graphs [Application Notes]. IEEE Comput. Intell. Mag. Sandro Cavallari, Erik Cambria, Hongyun Cai, Kevin Chen-Chuan Chang, Vincent W. Zheng
2019	A*	`conf`	Faster, Higher, Stronger: Redesigning Spreadsheets for Scale. ICDE 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	B	`conf`	Hierarchical multi-armed bandits for discovering hidden populations. ASONAM Suhansanu Kumar, Heting Gao, Changyu Wang, Kevin Chen-Chuan Chang, Hari Sundaram
2019	B	`conf`	Meta-GNN: metagraph neural network for semi-supervised learning in attributed heterogeneous information networks. ASONAM Aravind Sankar, Xinyang Zhang, Kevin Chen-Chuan Chang
2019	J	`jnl`	Mining Hidden Populations through Attributed Search. CoRR Suhansanu Kumar, Heting Gao, Changyu Wang, Hari Sundaram, Kevin Chen-Chuan Chang
2019	J	`jnl`	Nonintrusive Smartphone User Verification Using Anonymized Multimodal Data. IEEE Trans. Knowl. Data Eng. Hong Cao, Kevin Chen-Chuan Chang
2018	J	`jnl`	A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications. IEEE Trans. Knowl. Data Eng. Hongyun Cai, Vincent W. Zheng, Kevin Chen-Chuan Chang
2018	J	`jnl`	Authenticity and credibility aware detection of adverse drug events from social media. Int. J. Medical Informatics Tao Hoang, Jixue Liu, Nicole Pratt, Vincent W. Zheng, Kevin Chen-Chuan Chang, Elizabeth Roughead, Jiuyong Li
2018	J	`jnl`	Authenticity and credibility aware detection of adverse drug events from social media. Int. J. Medical Informatics Tao Hoang, Jixue Liu, Nicole Pratt, Vincent W. Zheng, Kevin Chen-Chuan Chang, Elizabeth Roughead, Jiuyong Li
2018	—	`conf`	Characterizing Scalability Issues in Spreadsheet Software using Online Forums. CHI Extended Abstracts Kelly Mack, John Lee, Kevin Chen-Chuan Chang, Karrie Karahalios, Aditya G. Parameswaran
2018	J	`jnl`	Characterizing Scalability Issues in Spreadsheet Software using Online Forums. CoRR Kelly Mack, John Lee, Kevin Chen-Chuan Chang, Karrie Karahalios, Aditya G. Parameswaran
2018	—	`ch.`	Deep-Web Search. Encyclopedia of Database Systems (2nd ed.) Kevin Chen-Chuan Chang
2018	A*	`conf`	Distance-Aware DAG Embedding for Proximity Search on Heterogeneous Graphs. AAAI Zemin Liu, Vincent W. Zheng, Zhou Zhao, Fanwei Zhu, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying
2018	A*	`conf`	Heterogeneous Embedding Propagation for Large-Scale E-Commerce User Alignment. ICDM Vincent W. Zheng, Mo Sha, Yuchen Li, Hongxia Yang, Yuan Fang, Zhenjie Zhang, Kian-Lee Tan, Kevin Chen-Chuan Chang
2018	A*	`conf`	Leveraging Fine-Grained Wikipedia Categories for Entity Search. WWW Denghao Ma, Yueguo Chen, Kevin Chen-Chuan Chang, Xiaoyong Du, Chuanfei Xu, Yi Chang
2018	J	`jnl`	Semi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Model. ACM Trans. Knowl. Discov. Data Chaochao Chen, Kevin Chen-Chuan Chang, Qibing Li, Xiaolin Zheng
2018	J	`jnl`	Statistical Link Label Modeling for Sign Prediction: Smoothing Sparsity by Joining Local and Global Information. CoRR Amin Javari, Hongxiang Qiu, Elham Barzegaran, Mahdi Jalili, Kevin Chen-Chuan Chang
2018	A*	`conf`	Subgraph-augmented Path Embedding for Semantic User Search on Heterogeneous Social Network. WWW Zemin Liu, Vincent W. Zheng, Zhou Zhao, Hongxia Yang, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying
2018	A*	`conf`	Towards a Holistic Integration of Spreadsheets with Databases: A Scalable Storage Engine for Presentational Data Management. ICDE Mangesh Bendre, Vipul Venkataraman, Xinyan Zhou, Kevin Chen-Chuan Chang, Aditya G. Parameswaran
2017	J	`jnl`	A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications. CoRR Hongyun Cai, Vincent W. Zheng, Kevin Chen-Chuan Chang
2017	J	`jnl`	Active Learning for Graph Embedding. CoRR Hongyun Cai, Vincent Wenchen Zheng, Kevin Chen-Chuan Chang
2017	J	`jnl`	CONE: Community Oriented Network Embedding. CoRR Carl Yang, Hanqing Lu, Kevin Chen-Chuan Chang
2017	J	`jnl`	From Community Detection to Community Profiling. CoRR Hongyun Cai, Vincent Wenchen Zheng, Fanwei Zhu, Kevin Chen-Chuan Chang, Zi Huang
2017	J	`jnl`	From Community Detection to Community Profiling. Proc. VLDB Endow. Hongyun Cai, Vincent Wenchen Zheng, Fanwei Zhu, Kevin Chen-Chuan Chang, Zi Huang
2017	A	`conf`	Learning Community Embedding with Community Detection and Node Embedding on Graphs. CIKM Sandro Cavallari, Vincent W. Zheng, Hongyun Cai, Kevin Chen-Chuan Chang, Erik Cambria
2017	J	`jnl`	Motif-based Convolutional Neural Network on Graphs. CoRR Aravind Sankar, Xinyang Zhang, Kevin Chen-Chuan Chang
2017	J	`jnl`	Relationship Profiling over Social Networks: Reverse Smoothness from Similarity to Closeness. CoRR Carl Yang, Kevin Chen-Chuan Chang
2017	A*	`conf`	Semantic Proximity Search on Heterogeneous Graph by Proximity Embedding. AAAI Zemin Liu, Vincent W. Zheng, Zhou Zhao, Fanwei Zhu, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying
2017	A*	`conf`	SocialLens: Searching and Browsing Communities by Content and Interaction. ICDE Hongyun Cai, Vincent Wenchen Zheng, Penghe Chen, Fanwei Zhu, Kevin Chen-Chuan Chang, Zi Huang
2017	A*	`conf`	Statistical Link Label Modeling for Sign Prediction: Smoothing Sparsity by Joining Local and Global Information. ICDM Amin Javari, Hongxiang Qiu, Elham Barzegaran, Mahdi Jalili, Kevin Chen-Chuan Chang
2017	A*	`conf`	Topological Recurrent Neural Network for Diffusion Prediction. ICDM Jia Wang, Vincent W. Zheng, Zemin Liu, Kevin Chen-Chuan Chang
2017	J	`jnl`	Topological Recurrent Neural Network for Diffusion Prediction. CoRR Jia Wang, Vincent W. Zheng, Zemin Liu, Kevin Chen-Chuan Chang
2017	J	`jnl`	Towards a Holistic Integration of Spreadsheets with Databases: A Scalable Storage Engine for Presentational Data Management. CoRR Mangesh Bendre, Vipul Venkataraman, Xinyan Zhou, Kevin Chen-Chuan Chang, Aditya G. Parameswaran
2016	A*	`conf`	Cold-Start Heterogeneous-Device Wireless Localization. AAAI Vincent W. Zheng, Hong Cao, Shenghua Gao, Aditi Adhikari, Miao Lin, Kevin Chen-Chuan Chang
2016	J	`jnl`	Detecting signals of detrimental prescribing cascades from social media. Artif. Intell. Medicine Tao Hoang, Jixue Liu, Nicole Pratt, Vincent W. Zheng, Kevin Chen-Chuan Chang, Elizabeth Roughead, Jiuyong Li
2016	J	`jnl`	From Node Embedding To Community Embedding. CoRR Vincent W. Zheng, Sandro Cavallari, Hongyun Cai, Kevin Chen-Chuan Chang, Erik Cambria
2016	A*	`conf`	Learning to query: Focused web page harvesting for entity aspects. ICDE Yuan Fang, Vincent W. Zheng, Kevin Chen-Chuan Chang
2016	A	`conf`	Regularizing Structured Classifier with Conditional Probabilistic Constraints for Semi-supervised Learning. CIKM Vincent Wenchen Zheng, Kevin Chen-Chuan Chang
2016	A*	`conf`	Semantic proximity search on graphs with metagraph-based learning. ICDE Yuan Fang, Wenqing Lin, Vincent Wenchen Zheng, Min Wu, Kevin Chen-Chuan Chang, Xiaoli Li
2015	J	`jnl`	DATASPREAD: Unifying Databases and Spreadsheets. Proc. VLDB Endow. Mangesh Bendre, Bofan Sun, Ding Zhang, Xinyan Zhou, Kevin Chen-Chuan Chang, Aditya G. Parameswaran
2015	—	`conf`	IntelligShop: Enabling Intelligent Shopping in Malls through Location-Based Augmented Reality. ICDM Workshops Aditi Adhikari, Vincent W. Zheng, Hong Cao, Miao Lin, Yuan Fang, Kevin Chen-Chuan Chang
2015	—	`conf`	Mobile user verification/identification using statistical mobility profile. BigComp Miao Lin, Hong Cao, Vincent W. Zheng, Kevin Chen-Chuan Chang, Shonali Krishnaswamy
2015	A*	`conf`	Mobility Profiling for User Verification with Anonymized Location Data. IJCAI Miao Lin, Hong Cao, Vincent W. Zheng, Kevin Chen-Chuan Chang, Shonali Krishnaswamy
2015	J	`jnl`	Network Cartography: Seeing the Forest and the Trees. CoRR Jia Wang, Kevin Chen-Chuan Chang, Hari Sundaram
2015	J	`jnl`	Scheduled approximation for Personalized PageRank with Utility-based Hub Selection. VLDB J. Fanwei Zhu, Yuan Fang, Kevin Chen-Chuan Chang, Jing Ying
2015	Misc	`conf`	Ushio: Analyzing News Media and Public Trends in Twitter. UCC Fangzhou Yao, Kevin Chen-Chuan Chang, Roy H. Campbell
2014	J	`jnl`	Front Matter. Proc. VLDB Endow. Kevin Chen-Chuan Chang
2014	A*	`conf`	Graph-based Semi-supervised Learning: Realizing Pointwise Smoothness Probabilistically. ICML Yuan Fang, Kevin Chen-Chuan Chang, Hady Wirawan Lauw
2014	B	`conf`	Privacy Risk in Anonymized Heterogeneous Information Networks. EDBT Aston Zhang, Xing Xie, Kevin Chen-Chuan Chang, Carl A. Gunter, Jiawei Han, Xiaofeng Wang
2014	—	`conf`	Towards a social media analytics platform: event detection and user profiling for twitter. WWW (Companion Volume) Manish Gupta, Rui Li, Kevin Chen-Chuan Chang
2014	A*	`conf`	Unifying learning to rank and domain adaptation: enabling cross-task document scoring. KDD Mianwei Zhou, Kevin Chen-Chuan Chang
2014	A*	`conf`	User profiling in an ego network: co-profiling attributes and relationships. WWW Rui Li, Chi Wang, Kevin Chen-Chuan Chang
2013	J	`jnl`	EgoNet-UIUC: A Dataset For Ego Network Research. CoRR Rui Li, Kevin Chen-Chuan Chang
2013	A	`conf`	Entity-centric document filtering: boosting feature mapping through meta-features. CIKM Mianwei Zhou, Kevin Chen-Chuan Chang
2013	J	`jnl`	Incremental and Accuracy-Aware Personalized PageRank through Scheduled Approximation. Proc. VLDB Endow. Fanwei Zhu, Yuan Fang, Kevin Chen-Chuan Chang, Jing Ying
2013	A*	`conf`	Learning to rank from distant supervision: Exploiting noisy redundancy for relational entity search. ICDE Mianwei Zhou, Hongning Wang, Kevin Chen-Chuan Chang
2013	A*	`conf`	RoundTripRank: Graph-based proximity with importance and specificity? ICDE Yuan Fang, Kevin Chen-Chuan Chang, Hady Wirawan Lauw
2013	J	`jnl`	Towards Social Data Platform: Automatic Topic-focused Monitor for Twitter Stream. Proc. VLDB Endow. Rui Li, Shengjie Wang, Kevin Chen-Chuan Chang
2012	A*	`conf`	Confidence-aware graph regularization with heterogeneous pairwise features. SIGIR Yuan Fang, Bo-June Paul Hsu, Kevin Chen-Chuan Chang
2012	J	`jnl`	Multiple Location Profiling for Users and Relationships from Social Network and Content CoRR Rui Li, Shengjie Wang, Kevin Chen-Chuan Chang
2012	J	`jnl`	Multiple Location Profiling for Users and Relationships from Social Network and Content. Proc. VLDB Endow. Rui Li, Shengjie Wang, Kevin Chen-Chuan Chang
2012	A*	`conf`	TEDAS: A Twitter-based Event Detection and Analysis System. ICDE Rui Li, Kin Hou Lei, Ravi Khadiwala, Kevin Chen-Chuan Chang
2012	A*	`conf`	Towards social user profiling: unified and discriminative influence model for inferring home locations. KDD Rui Li, Shengjie Wang, Hongbo Deng, Rui Wang, Kevin Chen-Chuan Chang
2011	A	`conf`	Searching patterns for relation extraction over the web: rediscovering the pattern-relation duality. WSDM Yuan Fang, Kevin Chen-Chuan Chang
2010	B	`conf`	Beyond pages: supporting efficient, scalable entity search with dual-inversion index. EDBT Tao Cheng, Kevin Chen-Chuan Chang
2010	J	`jnl`	Case report: Enhancing laboratory report contents to improve outpatient management of test results. J. Am. Medical Informatics Assoc. Kevin Chen-Chuan Chang, J. Marc Overhage, Siu L. Hui, Martin Chieng Were
2010	A	`conf`	Data-oriented content query system: searching for data into text on the web. WSDM Mianwei Zhou, Tao Cheng, Kevin Chen-Chuan Chang
2010	—	`conf`	DoCQS: a prototype system for supporting data-oriented content query. SIGMOD Conference Mianwei Zhou, Tao Cheng, Kevin Chen-Chuan Chang
2010	—	`conf`	Toward large scale data-aware search: Ranking, indexing, resolution and beyond. ICDE Workshops Tao Cheng, Kevin Chen-Chuan Chang
2010	A*	`conf`	Towards rich query interpretation: walking back and forth for mining query templates. WWW Ganesh Agarwal, Govind Kabra, Kevin Chen-Chuan Chang
2009	—	`conf`	AIDE: ad-hoc intents detection engine over query logs. SIGMOD Conference Yunliang Jiang, Hui-Ting Yang, Kevin Chen-Chuan Chang, Yi-Shin Chen
2009	—	`ch.`	Deep-Web Search. Encyclopedia of Database Systems Kevin Chen-Chuan Chang
2008	A	`conf`	Integrating web query results: holistic schema matching. CIKM Shui-Lung Chuang, Kevin Chen-Chuan Chang
2008	J	`jnl`	Probabilistic top- ACM Trans. Database Syst. Mohamed A. Soliman, Ihab F. Ilyas, Kevin Chen-Chuan Chang
2008	J	`jnl`	Trustworthy keyword search for compliance storage. VLDB J. Soumyadeb Mitra, Marianne Winslett, Windsor W. Hsu, Kevin Chen-Chuan Chang
2007	J	`jnl`	Accessing the deep web. Commun. ACM Bin He, Mitesh Patel, Zhen Zhang, Kevin Chen-Chuan Chang
2007	—	`ed.`	Advances in Web and Network Technologies, and Information Management, APWeb/WAIM 2007 International Workshops: DBMAN 2007, WebETrends 2007, PAIS 2007 and ASWAN 2007, Huang Shan, China, June 16-18, 2007, Proceedings APWeb/WAIM Workshops Kevin Chen-Chuan Chang, Wei Wang, Lei Chen, Clarence A. Ellis, Ching-Hsien Hsu, Ah Chung Tsoi, Haixun Wang
2007	A*	`conf`	Collaborative Wrapping: A Turbo Framework for Web Data Extraction. ICDE Shui-Lung Chuang, Kevin Chen-Chuan Chang, ChengXiang Zhai
2007	A*	`conf`	Context-Aware Wrapping: Synchronized Data Extraction. VLDB Shui-Lung Chuang, Kevin Chen-Chuan Chang, ChengXiang Zhai
2007	A*	`conf`	Dewex: An Exploration Facility for Enabling the Deep Web Integration. ICDE Govind Kabra, Zhen Zhang, Kevin Chen-Chuan Chang
2007	J	`jnl`	Enabling soft queries for data retrieval. Inf. Syst. Hwanjo Yu, Seung-won Hwang, Kevin Chen-Chuan Chang
2007	A	`conf`	Entity Search Engine: Towards Agile Best-Effort Information Integration over the Web. CIDR Tao Cheng, Kevin Chen-Chuan Chang
2007	A*	`conf`	EntityRank: Searching Entities Directly and Holistically. VLDB Tao Cheng, Xifeng Yan, Kevin Chen-Chuan Chang
2007	J	`jnl`	Optimizing top-k queries for middleware access: A unified cost-based approach. ACM Trans. Database Syst. Seung-won Hwang, Kevin Chen-Chuan Chang
2007	J	`jnl`	Probe Minimization by Schedule Optimization: Supporting Top-K Queries with Expensive Predicates. IEEE Trans. Knowl. Data Eng. Seung-won Hwang, Kevin Chen-Chuan Chang
2007	—	`conf`	Progressive and selective merge: computing top-k with ad-hoc ranking functions. SIGMOD Conference Dong Xin, Jiawei Han, Kevin Chen-Chuan Chang
2007	—	`conf`	Supporting entity search: a large-scale prototype search engine. SIGMOD Conference Tao Cheng, Xifeng Yan, Kevin Chen-Chuan Chang
2007	—	`conf`	Supporting ranking and clustering as generalized order-by and group-by. SIGMOD Conference Chengkai Li, Min Wang, Lipyeow Lim, Haixun Wang, Kevin Chen-Chuan Chang
2007	A*	`conf`	Top-k Query Processing in Uncertain Databases. ICDE Mohamed A. Soliman, Ihab F. Ilyas, Kevin Chen-Chuan Chang
2007	—	`conf`	URank: formulation and efficient evaluation of top-k queries in uncertain databases. SIGMOD Conference Mohamed A. Soliman, Ihab F. Ilyas, Kevin Chen-Chuan Chang
2006	—	`conf`	Accessing the web: from search to integration. SIGMOD Conference Kevin Chen-Chuan Chang, Junghoo Cho
2006	J	`jnl`	Automatic complex schema matching across Web query interfaces: A correlation mining approach. ACM Trans. Database Syst. Bin He, Kevin Chen-Chuan Chang
2006	—	`conf`	Boolean + ranking: querying a database by k-constrained optimization. SIGMOD Conference Zhen Zhang, Seung-won Hwang, Kevin Chen-Chuan Chang, Min Wang, Christian A. Lang, Yuan-Chi Chang
2006	—	`conf`	Supporting ad-hoc ranking aggregates. SIGMOD Conference Chengkai Li, Kevin Chen-Chuan Chang, Ihab F. Ilyas
2005	A*	`conf`	Enabling Ad-hoc Ranking for Data Retrieval. ICDE Hwanjo Yu, Seung-won Hwang, Kevin Chen-Chuan Chang
2005	A*	`conf`	Light-weight Domain-based Form Assistant: Querying Web Databases On the Fly. VLDB Zhen Zhang, Bin He, Kevin Chen-Chuan Chang
2005	A*	`conf`	Making holistic schema matching robust: an ensemble approach. KDD Bin He, Kevin Chen-Chuan Chang
2005	—	`conf`	MetaQuerier: querying structured web sources on-the-fly. SIGMOD Conference Bin He, Zhen Zhang, Kevin Chen-Chuan Chang
2005	A*	`conf`	Optimizing Access Cost for Top-k Queries over Web Sources: A Unified Cost-based Approach. ICDE Seung-won Hwang, Kevin Chen-Chuan Chang
2005	—	`conf`	Query Routing: Finding Ways in the Maze of the DeepWeb. WIRI Govind Kabra, Chengkai Li, Kevin Chen-Chuan Chang
2005	—	`conf`	RankSQL: Query Algebra and Optimization for Relational Top-k Queries. SIGMOD Conference Chengkai Li, Kevin Chen-Chuan Chang, Ihab F. Ilyas, Sumin Song
2005	A*	`conf`	RankSQL: Supporting Ranking Queries in Relational Database Management Systems. VLDB Chengkai Li, Mohamed A. Soliman, Kevin Chen-Chuan Chang, Ihab F. Ilyas
2005	A	`conf`	Toward Large Scale Integration: Building a MetaQuerier over Databases on the Web. CIDR Kevin Chen-Chuan Chang, Bin He, Zhen Zhang
2005	A*	`conf`	Towards Building a MetaQuerier: Extracting and Matching Web Query Interfaces. ICDE Bin He, Zhen Zhang, Kevin Chen-Chuan Chang
2004	J	`jnl`	A Holistic Paradigm for Large Scale Schema Matching. SIGMOD Rec. Bin He, Kevin Chen-Chuan Chang
2004	—	`conf`	Clustering Structured Web Sources: A Schema-Based, Model-Differentiation Approach. EDBT Workshops Bin He, Tao Tao, Kevin Chen-Chuan Chang
2004	A*	`conf`	Discovering complex matchings across web query interfaces: a correlation mining approach. KDD Bin He, Kevin Chen-Chuan Chang, Jiawei Han
2004	J	`jnl`	Editorial: special issue on web content mining. SIGKDD Explor. Bing Liu, Kevin Chen-Chuan Chang
2004	—	`conf`	Knocking the Door to the Deep Web: Integration of Web Query Interfaces. SIGMOD Conference Bin He, Zhen Zhang, Kevin Chen-Chuan Chang
2004	—	`conf`	Mining complex matchings across Web query interfaces. DMKD Bin He, Kevin Chen-Chuan Chang, Jiawei Han
2004	J	`jnl`	Mining semantics for large scale integration on the web: evidences, insights, and challenges. SIGKDD Explor. Kevin Chen-Chuan Chang, Bin He, Zhen Zhang
2004	A*	`conf`	Optimal multimodal fusion for multimedia data analysis. ACM Multimedia Yi Wu, Edward Y. Chang, Kevin Chen-Chuan Chang, John R. Smith
2004	A	`conf`	Organizing structured web sources by query schemas: a clustering approach. CIKM Bin He, Tao Tao, Kevin Chen-Chuan Chang
2004	J	`jnl`	PEBL: Web Page Classification without Negative Examples. IEEE Trans. Knowl. Data Eng. Hwanjo Yu, Jiawei Han, Kevin Chen-Chuan Chang
2004	J	`jnl`	Structured Databases on the Web: Observations and Implications. SIGMOD Rec. Kevin Chen-Chuan Chang, Bin He, Chengkai Li, Mitesh Patel, Zhen Zhang
2004	—	`conf`	Understanding Web Query Interfaces: Best-Effort Parsing with Hidden Syntax. SIGMOD Conference Zhen Zhang, Bin He, Kevin Chen-Chuan Chang
2003	—	`conf`	Statistical Schema Matching across Web Query Interfaces. SIGMOD Conference Bin He, Kevin Chen-Chuan Chang
2002	J	`jnl`	Data Mining for Web Intelligence. Computer Jiawei Han, Kevin Chen-Chuan Chang
2002	J	`jnl`	Database Research at the University of Illinois at Urbana-Champaign. SIGMOD Rec. Marianne Winslett, Kevin Chen-Chuan Chang, AnHai Doan, Jiawei Han, ChengXiang Zhai, Yuanyuan Zhou
2002	A*	`conf`	Heterogeneous Learner for Web Page Classification. ICDM Hwanjo Yu, Kevin Chen-Chuan Chang, Jiawei Han
2002	—	`conf`	Minimal probing: supporting expensive predicates for top-k queries. SIGMOD Conference Kevin Chen-Chuan Chang, Seung-won Hwang
2002	A*	`conf`	PEBL: positive example based learning for Web page classification using SVM. KDD Hwanjo Yu, Jiawei Han, Kevin Chen-Chuan Chang
2001	J	`jnl`	Approximate query mapping: Accounting for translation closeness. VLDB J. Kevin Chen-Chuan Chang, Hector Garcia-Molina
2001	—	`conf`	NBDL: a CIS framework for NSDL. JCDL Joe Futrelle, Su-shing Chen, Kevin Chen-Chuan Chang
2000	A*	`conf`	Approximate Query Translation Across Heterogeneous Information Sources. VLDB Kevin Chen-Chuan Chang, Hector Garcia-Molina
1999	—	`conf`	Mind Your Vocabulary: Query Mapping Across Heterogeneous Information Sources. SIGMOD Conference Kevin Chen-Chuan Chang, Hector Garcia-Molina
1999	—	`conf`	PowerBookmarks: A System for Personalizable Web Information Organization, Sharing, and Management. SIGMOD Conference 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
1999	J	`jnl`	Predicate Rewriting for Translating Boolean Queries in a Heterogeneous Information System. ACM Trans. Inf. Syst. Kevin Chen-Chuan Chang, Hector Garcia-Molina, Andreas Paepcke
1999	J	`jnl`	Using Distributed Objects to Build the Stanford Digital Library Infobus. Computer Andreas Paepcke, Michelle Q. Wang Baldonado, Kevin Chen-Chuan Chang, Steve B. Cousins, Hector Garcia-Molina
1998	—	`conf`	An Extensible Constructor Tool for the Rapid, Interactive Design of Query Synthesizers. ACM DL Michelle Q. Wang Baldonado, Seth Katz, Andreas Paepcke, Kevin Chen-Chuan Chang, Hector Garcia-Molina, Terry Winograd
1998	—	`conf`	Conjunctive Constraint Mapping for Data Translation. ACM DL Kevin Chen-Chuan Chang, Hector Garcia-Molina
1998	J	`jnl`	Interoperability for Digital Libraries Worldwide. Commun. ACM Andreas Paepcke, Kevin Chen-Chuan Chang, Hector Garcia-Molina, Terry Winograd
1998	—	`conf`	PowerBookmarks: An Advanced Web Bookmark Database System and its Information Sharing and Management. FODO Wen-Syan Li, Yi-Leh Wu, Corey Bufi, Kevin Chen-Chuan Chang, Divyakant Agrawal, Yoshinori Hara
1998	—	`conf`	The Stanford InfoBus and Its Service Layers: Augmenting the Internet with High-Level Information Management Protocols. The MeDoc Approach Martin Röscheisen, Michelle Q. Wang Baldonado, Kevin Chen-Chuan Chang, Luis Gravano, Steven P. Ketchpel, Andreas Paepcke
1997	—	`conf`	Evaluating the Cost of Boolean Query Mapping. ACM DL Kevin Chen-Chuan Chang, Hector Garcia-Molina
1997	—	`conf`	Metadata for Digital Libraries: Architecture and Design Rationale. ACM DL Michelle Q. Wang Baldonado, Kevin Chen-Chuan Chang, Luis Gravano, Andreas Paepcke
1997	—	`conf`	STARTS: Stanford Proposal for Internet Meta-Searching (Experience Paper). SIGMOD Conference Luis Gravano, Kevin Chen-Chuan Chang, Hector Garcia-Molina, Andreas Paepcke
1997	J	`jnl`	The Stanford Digital Library Metadata Architecture. Int. J. Digit. Libr. Michelle Q. Wang Baldonado, Kevin Chen-Chuan Chang, Luis Gravano, Andreas Paepcke
1996	J	`jnl`	Boolean Query Mapping Across Heterogeneous Information Sources. IEEE Trans. Knowl. Data Eng. Kevin Chen-Chuan Chang, Hector Garcia-Molina, Andreas Paepcke