Kevin Chen-Chuan Chang

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 113

Top Venues

CoRR

ICDE

EMNLP

IEEE Trans. Knowl. Data Eng.

Publications

Qihao Wang, Hongtai Cao, Xiaodong Li, Kevin Chen-Chuan Chang, Reynold Cheng
From Motif to Path: Connectivity and Homophily. ICDE (2024)
Hongtai Cao, Qihao Wang, Xiaodong Li, Matin Najafi, Kevin Chen-Chuan Chang, Reynold Cheng
Large Subgraph Matching: A Comprehensive and Efficient Approach for Heterogeneous Graphs. ICDE (2024)
Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu
Can Language Models Be Specific? How? ACL (Findings) (2023)
Yuxiang Liu, Jie Huang, Kevin Chen-Chuan Chang
Ask To The Point: Open-Domain Entity-Centric Question Generation. EMNLP (Findings) (2023)
Shen Zheng, Yuyu Zhang, Yijie Zhu, Chenguang Xi, Pengyang Gao, Xun Zhou, Kevin Chen-Chuan Chang
GPT-Fathom: Benchmarking Large Language Models to Decipher the Evolutionary Path towards GPT-4 and Beyond. CoRR (2023)
Jie Huang, Kevin Chen-Chuan Chang
Towards Reasoning in Large Language Models: A Survey. ACL (Findings) (2023)
Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang
Let the Pretrained Language Models "Imagine" for Short Texts Topic Modeling. CoRR (2023)
Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang
Text Fact Transfer. CoRR (2023)
Jie Huang, Kevin Chen-Chuan Chang
Citation: A Key to Building Responsible and Accountable Large Language Models. CoRR (2023)
Changyu Wang, Pinghui Wang, Tao Qin, Chenxu Wang, Suhansanu Kumar, Xiaohong Guan, Jun Liu, Kevin Chen-Chuan Chang
SocialSift: Target Query Discovery on Online Social Media With Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Fanwei Zhu, Yuan Fang, Kai Zhang, Kevin Chen-Chuan Chang, Hongtai Cao, Zhen Jiang, Minghui Wu
Unified and Incremental SimRank: Index-Free Approximation With Scheduled Principle. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Ziyi Chen, Xiaocong Yang, Jiacheng Lin, Chenkai Sun, Jie Huang, Kevin Chen-Chuan Chang
Cascade Speculative Drafting for Even Faster LLM Inference. CoRR (2023)
Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang
Text Fact Transfer. EMNLP (2023)
Shen Zheng, Jie Huang, Kevin Chen-Chuan Chang
Why Does ChatGPT Fall Short in Answering Questions Faithfully? CoRR (2023)
Kevin Pei, Ishan Jindal, Kevin Chen-Chuan Chang, ChengXiang Zhai, Yunyao Li
When to Use What: An In-Depth Comparative Empirical Analysis of OpenIE Systems for Downstream Applications. ACL (1) (2023)
Hanyin Shao, Jie Huang, Shen Zheng, Kevin Chen-Chuan Chang
Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage. CoRR (2023)
Kerui Zhu, Jie Huang, Kevin Chen-Chuan Chang
Descriptive Knowledge Graph in Biomedical Domain. EMNLP (Demos) (2023)
Nishant Balepur, Jie Huang, Samraj Moorjani, Hari Sundaram, Kevin Chen-Chuan Chang
Mastering the ABCDs of Complex Questions: Answer-Based Claim Decomposition for Fine-grained Self-Evaluation. CoRR (2023)
Pritom Saha Akash, Trisha Das, Kevin Chen-Chuan Chang
TopicAdapt- An Inter-Corpora Topics Adaptation Approach. CoRR (2023)
Denghao Ma, Kevin Chen-Chuan Chang, Yueguo Chen, Xueqiang Lv, Liang Shen
A Principled Decomposition of Pointwise Mutual Information for Intention Template Discovery. CIKM (2023)
Chenzhengyi Liu, Jie Huang, Kerui Zhu, Kevin Chen-Chuan Chang
DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept Relationships. ACL (1) (2023)
Lam Do, Pritom Saha Akash, Kevin Chen-Chuan Chang
Unsupervised Open-domain Keyphrase Generation. ACL (1) (2023)
Jie Huang, Yifan Gao, Zheng Li, Jingfeng Yang, Yangqiu Song, Chao Zhang, Zining Zhu, Haoming Jiang, Kevin Chen-Chuan Chang, Bing Yin
CCGen: Explainable Complementary Concept Generation in E-Commerce. CoRR (2023)
Jinyang Li, Binyuan Hui, Ge Qu, Binhua Li, Jiaxi Yang, Bowen Li, Bailin Wang, Bowen Qin, Rongyu Cao, Ruiying Geng, Nan Huo, Chenhao Ma, Kevin Chen-Chuan Chang, Fei Huang, Reynold Cheng, Yongbin Li
Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs. CoRR (2023)
Jie Huang, Wei Ping, Peng Xu, Mohammad Shoeybi, Kevin Chen-Chuan Chang, Bryan Catanzaro
RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models. CoRR (2023)
Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang
Expository Text Generation: Imitate, Retrieve, Paraphrase. EMNLP (2023)
Yuxiang Liu, Jie Huang, Kevin Chen-Chuan Chang
Ask To The Point: Open-Domain Entity-Centric Question Generation. CoRR (2023)
Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang
Expository Text Generation: Imitate, Retrieve, Paraphrase. CoRR (2023)
Kerui Zhu, Jie Huang, Kevin Chen-Chuan Chang
Descriptive Knowledge Graph in Biomedical Domain. CoRR (2023)
Pritom Saha Akash, Kashob Kumar Roy, Lucian Popa, Kevin Chen-Chuan Chang
Long-form Question Answering: An Iterative Planning-Retrieval-Generation Approach. CoRR (2023)
Lam Thanh Do, Pritom Saha Akash, Kevin Chen-Chuan Chang
Unsupervised Open-domain Keyphrase Generation. CoRR (2023)
Kevin Pei, Ishan Jindal, Kevin Chen-Chuan Chang
Abstractive Open Information Extraction. EMNLP (2023)
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
Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs. NeurIPS (2023)
Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang, Yunyao Li, Lucian Popa, ChengXiang Zhai
Domain Representative Keywords Selection: A Probabilistic Approach. ACL (Findings) (2022)
Jie Huang, Kerui Zhu, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu
DEER: Descriptive Knowledge Graph for Explaining Entity Relationships. EMNLP (2022)
Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang
Coordinated Topic Modeling. CoRR (2022)
Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang, Yunyao Li, Lucian Popa, ChengXiang Zhai
Domain Representative Keywords Selection: A Probabilistic Approach. CoRR (2022)
Suhansanu Kumar, Heting Gao, Changyu Wang, Kevin Chen-Chuan Chang, Hari Sundaram
Decision tree Thompson sampling for mining hidden populations through attributed search. Soc. Netw. Anal. Min. 12 (1) (2022)
Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu
Understanding Jargon: Combining Extraction and Generation for Definition Modeling. EMNLP (2022)
Chenzhengyi Liu, Jie Huang, Kerui Zhu, Kevin Chen-Chuan Chang
DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept Relationships. CoRR (2022)
Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang
Are Large Pre-Trained Language Models Leaking Your Personal Information? CoRR (2022)
Jie Huang, Kevin Chen-Chuan Chang
VER: Learning Natural Language Representations for Verbalizing Entities and Relations. CoRR (2022)
Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang
Are Large Pre-Trained Language Models Leaking Your Personal Information? EMNLP (Findings) (2022)
Changyu Wang, Kevin Chen-Chuan Chang, Pinghui Wang, Tao Qin, Xiaohong Guan
Heterogeneous Network Crawling: Reaching Target Nodes by Motif-Guided Navigation. IEEE Trans. Knowl. Data Eng. 34 (9) (2022)
Kevin Pei, Ishan Jindal, Kevin Chen-Chuan Chang, Chengxiang Zhai, Yunyao Li
When to Use What: An In-Depth Comparative Empirical Analysis of OpenIE Systems for Downstream Applications. CoRR (2022)
Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang
Coordinated Topic Modeling. EMNLP (2022)
Fanwei Zhu, Yuan Fang, Kai Zhang, Kevin Chen-Chuan Chang, Hongtai Cao, Zhen Jiang, Minghui Wu
Unified and Incremental SimRank: Index-free Approximation with Scheduled Principle (Extended Abstract). ICDE (2022)
Jie Huang, Kevin Chen-Chuan Chang
Towards Reasoning in Large Language Models: A Survey. CoRR (2022)
Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu
Can Language Models Be Specific? How? CoRR (2022)
Jie Huang, Kerui Zhu, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu
DKG: A Descriptive Knowledge Graph for Explaining Relationships between Entities. CoRR (2022)
Hongbin Pei, Bo Yang, Jiming Liu, Kevin Chen-Chuan Chang
Active Surveillance via Group Sparse Bayesian Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44 (3) (2022)
Xiaodong Li, Reynold Cheng, Kevin Chen-Chuan Chang, Caihua Shan, Chenhao Ma, Hongtai Cao
On Analyzing Graphs with Motif-Paths. Proc. VLDB Endow. 14 (6) (2021)
Yuan Fang, Wenqing Lin, Vincent W. Zheng, Min Wu, Jiaqi Shi, Kevin Chen-Chuan Chang, Xiaoli Li
Metagraph-Based Learning on Heterogeneous Graphs. IEEE Trans. Knowl. Data Eng. 33 (1) (2021)
Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang
CDM: Combining Extraction and Generation for Definition Modeling. CoRR (2021)
Anurendra Kumar, Keval Morabia, Jingjin Wang, Kevin Chen-Chuan Chang, Alexander G. Schwing
CoVA: Context-aware Visual Attention for Webpage Information Extraction. CoRR (2021)
Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-mei W. Hwu
Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach. CoRR (2021)
Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei W. Hwu
Open Relation Modeling: Learning to Define Relations between Entities. CoRR (2021)
Boxuan Li, Reynold Cheng, Jiafeng Hu, Yixiang Fang, Min Ou, Ruibang Luo, Kevin Chen-Chuan Chang, Xuemin Lin
MC-Explorer: Analyzing and Visualizing Motif-Cliques on Large Networks. ICDE (2020)
Zhijie Chen, Hongtai Cao, Kevin Chen-Chuan Chang
GraphEBM: Energy-based Graph Construction for Semi-Supervised Learning. ICDM (2020)
Amin Javari, Tyler Derr, Pouya Esmailian, Jiliang Tang, Kevin Chen-Chuan Chang
ROSE: Role-based Signed Network Embedding. WWW (2020)
Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Yu Lei, Bo Yang
Geom-GCN: Geometric Graph Convolutional Networks. CoRR (2020)
Jie Huang, Zilong Wang, Kevin Chen-Chuan Chang, Wen-Mei Hwu, Jinjun Xiong
Exploring Semantic Capacity of Terms. CoRR (2020)
Chaochao Chen, Kevin Chen-Chuan Chang, Qibing Li, Xiaolin Zheng
Semi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Model. CoRR (2020)
Xiaodong Li, Reynold Cheng, Matin Najafi, Kevin Chen-Chuan Chang, Xiaolin Han, Hongtai Cao
M-Cypher: A GQL Framework Supporting Motifs. CIKM (2020)
Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Yu Lei, Bo Yang
Geom-GCN: Geometric Graph Convolutional Networks. ICLR (2020)
Amin Javari, Zhankui He, Zijie Huang, Jeetu Raj, Kevin Chen-Chuan Chang
Weakly Supervised Attention for Hashtag Recommendation using Graph Data. WWW (2020)
Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Chunxu Zhang, Bo Yang
Curvature Regularization to Prevent Distortion in Graph Embedding. CoRR (2020)
Sandro Cavallari, Erik Cambria, Hongyun Cai, Kevin Chen-Chuan Chang, Vincent W. Zheng
Embedding Both Finite and Infinite Communities on Graphs [Application Notes]. IEEE Comput. Intell. Mag. 14 (3) (2019)
Aravind Sankar, Xinyang Zhang, Kevin Chen-Chuan Chang
Meta-GNN: metagraph neural network for semi-supervised learning in attributed heterogeneous information networks. ASONAM (2019)
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
Faster, Higher, Stronger: Redesigning Spreadsheets for Scale. ICDE (2019)
Suhansanu Kumar, Heting Gao, Changyu Wang, Hari Sundaram, Kevin Chen-Chuan Chang
Mining Hidden Populations through Attributed Search. CoRR (2019)
Jiafeng Hu, Reynold Cheng, Kevin Chen-Chuan Chang, Aravind Sankar, Yixiang Fang, Brian Y. H. Lam
Discovering Maximal Motif Cliques in Large Heterogeneous Information Networks. ICDE (2019)
Suhansanu Kumar, Heting Gao, Changyu Wang, Kevin Chen-Chuan Chang, Hari Sundaram
Hierarchical multi-armed bandits for discovering hidden populations. ASONAM (2019)
Hong Cao, Kevin Chen-Chuan Chang
Nonintrusive Smartphone User Verification Using Anonymized Multimodal Data. IEEE Trans. Knowl. Data Eng. 31 (3) (2019)
Kelly Mack, John Lee, Kevin Chen-Chuan Chang, Karrie Karahalios, Aditya G. Parameswaran
Characterizing Scalability Issues in Spreadsheet Software using Online Forums. CoRR (2018)
Chaochao Chen, Kevin Chen-Chuan Chang, Qibing Li, Xiaolin Zheng
Semi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Model. ACM Trans. Knowl. Discov. Data 12 (6) (2018)
Hongyun Cai, Vincent W. Zheng, Kevin Chen-Chuan Chang
A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications. IEEE Trans. Knowl. Data Eng. 30 (9) (2018)
Tao Hoang, Jixue Liu, Nicole Pratt, Vincent W. Zheng, Kevin Chen-Chuan Chang, Elizabeth Roughead, Jiuyong Li
Authenticity and credibility aware detection of adverse drug events from social media. Int. J. Medical Informatics 120 (2018)
Kelly Mack, John Lee, Kevin Chen-Chuan Chang, Karrie Karahalios, Aditya G. Parameswaran
Characterizing Scalability Issues in Spreadsheet Software using Online Forums. CHI Extended Abstracts (2018)
Denghao Ma, Yueguo Chen, Kevin Chen-Chuan Chang, Xiaoyong Du, Chuanfei Xu, Yi Chang
Leveraging Fine-Grained Wikipedia Categories for Entity Search. WWW (2018)
Zemin Liu, Vincent W. Zheng, Zhou Zhao, Fanwei Zhu, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying
Distance-Aware DAG Embedding for Proximity Search on Heterogeneous Graphs. AAAI (2018)
Amin Javari, Hongxiang Qiu, Elham Barzegaran, Mahdi Jalili, Kevin Chen-Chuan Chang
Statistical Link Label Modeling for Sign Prediction: Smoothing Sparsity by Joining Local and Global Information. CoRR (2018)
Zemin Liu, Vincent W. Zheng, Zhou Zhao, Hongxia Yang, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying
Subgraph-augmented Path Embedding for Semantic User Search on Heterogeneous Social Network. WWW (2018)
Vincent W. Zheng, Mo Sha, Yuchen Li, Hongxia Yang, Yuan Fang, Zhenjie Zhang, Kian-Lee Tan, Kevin Chen-Chuan Chang
Heterogeneous Embedding Propagation for Large-Scale E-Commerce User Alignment. ICDM (2018)
Mangesh Bendre, Vipul Venkataraman, Xinyan Zhou, Kevin Chen-Chuan Chang, Aditya G. Parameswaran
Towards a Holistic Integration of Spreadsheets with Databases: A Scalable Storage Engine for Presentational Data Management. ICDE (2018)
Tao Hoang, Jixue Liu, Nicole Pratt, Vincent W. Zheng, Kevin Chen-Chuan Chang, Elizabeth Roughead, Jiuyong Li
Authenticity and credibility aware detection of adverse drug events from social media. Int. J. Medical Informatics 120 (2018)
Hongyun Cai, Vincent Wenchen Zheng, Fanwei Zhu, Kevin Chen-Chuan Chang, Zi Huang
From Community Detection to Community Profiling. Proc. VLDB Endow. 10 (7) (2017)
Mangesh Bendre, Vipul Venkataraman, Xinyan Zhou, Kevin Chen-Chuan Chang, Aditya G. Parameswaran
Towards a Holistic Integration of Spreadsheets with Databases: A Scalable Storage Engine for Presentational Data Management. CoRR (2017)
Sandro Cavallari, Vincent W. Zheng, Hongyun Cai, Kevin Chen-Chuan Chang, Erik Cambria
Learning Community Embedding with Community Detection and Node Embedding on Graphs. CIKM (2017)
Hongyun Cai, Vincent Wenchen Zheng, Penghe Chen, Fanwei Zhu, Kevin Chen-Chuan Chang, Zi Huang
SocialLens: Searching and Browsing Communities by Content and Interaction. ICDE (2017)
Jia Wang, Vincent W. Zheng, Zemin Liu, Kevin Chen-Chuan Chang
Topological Recurrent Neural Network for Diffusion Prediction. ICDM (2017)
Jia Wang, Vincent W. Zheng, Zemin Liu, Kevin Chen-Chuan Chang
Topological Recurrent Neural Network for Diffusion Prediction. CoRR (2017)
Hongyun Cai, Vincent Wenchen Zheng, Kevin Chen-Chuan Chang
Active Learning for Graph Embedding. CoRR (2017)
Carl Yang, Hanqing Lu, Kevin Chen-Chuan Chang
CONE: Community Oriented Network Embedding. CoRR (2017)
Carl Yang, Kevin Chen-Chuan Chang
Relationship Profiling over Social Networks: Reverse Smoothness from Similarity to Closeness. CoRR (2017)
Hongyun Cai, Vincent Wenchen Zheng, Fanwei Zhu, Kevin Chen-Chuan Chang, Zi Huang
From Community Detection to Community Profiling. CoRR (2017)
Zemin Liu, Vincent W. Zheng, Zhou Zhao, Fanwei Zhu, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying
Semantic Proximity Search on Heterogeneous Graph by Proximity Embedding. AAAI (2017)
Amin Javari, Hongxiang Qiu, Elham Barzegaran, Mahdi Jalili, Kevin Chen-Chuan Chang
Statistical Link Label Modeling for Sign Prediction: Smoothing Sparsity by Joining Local and Global Information. ICDM (2017)
Aravind Sankar, Xinyang Zhang, Kevin Chen-Chuan Chang
Motif-based Convolutional Neural Network on Graphs. CoRR (2017)
Hongyun Cai, Vincent W. Zheng, Kevin Chen-Chuan Chang
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications. CoRR (2017)

Kevin Chen-Chuan Chang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Kevin Chen-Chuan Chang