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ORCIDKevin Chen-Chuan Chang
Kevin Chang 0001
Person information
- affiliation: University of Illinois at Urbana-Champaign, IL, USA
- affiliation (PhD 2001): University of Stanford, Department of Electrical Engineering, Stanford, CA, USA
Other persons with the same name
- Kevin Chang 0002 — Washington State University, Pullman, WA, USA
- Kevin Chang 0003 — Queensland University of Technology, Brisbane, QLD, Australia
- Kevin Chang 0004 — University of Michigan, USA
- Kevin Chang 0005 — University of Maryland, Baltimore County, Baltimore, MD, USA
- Kevin Chang 0006 — Seattle University, WA, USA
- Kevin Chang 0007 — University of Southern California, Los Angeles, CA, USA
- Kevin Chang 0008 — Oregon State University, Corvallis, OR, USA
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2020 – today
- 2025
[i54]Duy A. Nguyen, Rishi Kesav Mohan, Van Yang, Pritom Saha Akash, Kevin Chen-Chuan Chang:
RL-based Query Rewriting with Distilled LLM for online E-Commerce Systems. CoRR abs/2501.18056 (2025)- 2024
- [c126]Hanyin Shao, Jie Huang, Shen Zheng, Kevin Chang:
Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage. EACL (Findings) 2024: 814-825 - [c125]Kashob Kumar Roy, Pritom Saha Akash, Kevin Chen-Chuan Chang, Lucian Popa:
ConTReGen: Context-driven Tree-structured Retrieval for Open-domain Long-form Text Generation. EMNLP (Findings) 2024: 13773-13784 - [c124]Pritom Saha Akash, Kevin Chen-Chuan Chang:
Enhancing Short-Text Topic Modeling with LLM-Driven Context Expansion and Prefix-Tuned VAEs. EMNLP (Findings) 2024: 15635-15646 - [c123]Qihao Wang, Hongtai Cao, Xiaodong Li, Kevin Chen-Chuan Chang, Reynold Cheng:
From Motif to Path: Connectivity and Homophily. ICDE 2024: 2751-2764 - [c122]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: 2972-2985 - [c121]Jie Huang, Kevin Chang:
Citation: A Key to Building Responsible and Accountable Large Language Models. NAACL-HLT (Findings) 2024: 464-473 - [c120]Shen Zheng, Yuyu Zhang, Yijie Zhu, Chenguang Xi, Pengyang Gao, Zhou Xun, Kevin Chang:
GPT-Fathom: Benchmarking Large Language Models to Decipher the Evolutionary Path towards GPT-4 and Beyond. NAACL-HLT (Findings) 2024: 1363-1382 - [c119]Ziyi Chen, Xiaocong Yang, Jiacheng Lin, Chenkai Sun, Kevin Chen-Chuan Chang, Jie Huang:
Cascade Speculative Drafting for Even Faster LLM Inference. NeurIPS 2024 - [i53]Kerui Zhu, Bo-Wei Huang, Bowen Jin, Yizhu Jiao, Ming Zhong, Kevin Chang, Shou-De Lin, Jiawei Han:
Investigating Instruction Tuning Large Language Models on Graphs. CoRR abs/2408.05457 (2024) - [i52]Pritom Saha Akash, Kevin Chen-Chuan Chang:
Enhancing Short-Text Topic Modeling with LLM-Driven Context Expansion and Prefix-Tuned VAEs. CoRR abs/2410.03071 (2024) - [i51]Kashob Kumar Roy, Pritom Saha Akash, Kevin Chen-Chuan Chang, Lucian Popa:
ConTReGen: Context-driven Tree-structured Retrieval for Open-domain Long-form Text Generation. CoRR abs/2410.15511 (2024) - [i50]Youan Cong, Cheng Wang, Pritom Saha Akash, Kevin Chen-Chuan Chang:
Query Optimization for Parametric Knowledge Refinement in Retrieval-Augmented Large Language Models. CoRR abs/2411.07820 (2024) - 2023
- [j42]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): 3195-3210 (2023) - [j41]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): 5654-5668 (2023) - [c118]Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu:
Can Language Models Be Specific? How? ACL (Findings) 2023: 716-727 - [c117]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: 929-949 - [c116]Jie Huang, Kevin Chen-Chuan Chang:
Towards Reasoning in Large Language Models: A Survey. ACL (Findings) 2023: 1049-1065 - [c115]Chenzhengyi Liu, Jie Huang, Kerui Zhu, Kevin Chen-Chuan Chang:
DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept Relationships. ACL (1) 2023: 4719-4731 - [c114]Lam Do, Pritom Saha Akash, Kevin Chen-Chuan Chang:
Unsupervised Open-domain Keyphrase Generation. ACL (1) 2023: 10614-10627 - [c113]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: 1746-1755 - [c112]Kerui Zhu, Jie Huang, Kevin Chen-Chuan Chang:
Descriptive Knowledge Graph in Biomedical Domain. EMNLP (Demos) 2023: 462-470 - [c111]Yuxiang Liu, Jie Huang, Kevin Chen-Chuan Chang:
Ask To The Point: Open-Domain Entity-Centric Question Generation. EMNLP (Findings) 2023: 2703-2716 - [c110]Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang:
Text Fact Transfer. EMNLP 2023: 4745-4764 - [c109]Kevin Pei, Ishan Jindal, Kevin Chen-Chuan Chang:
Abstractive Open Information Extraction. EMNLP 2023: 6146-6158 - [c108]Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang:
Expository Text Generation: Imitate, Retrieve, Paraphrase. EMNLP 2023: 11896-11919 - [c107]Jie Huang, Kevin Chang:
VER: Unifying Verbalizing Entities and Relations. EMNLP (Findings) 2023: 15700-15710 - [c106]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 - [i49]Shen Zheng, Jie Huang, Kevin Chen-Chuan Chang:
Why Does ChatGPT Fall Short in Answering Questions Faithfully? CoRR abs/2304.10513 (2023) - [i48]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:
Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs. CoRR abs/2305.03111 (2023) - [i47]Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang:
Expository Text Generation: Imitate, Retrieve, Paraphrase. CoRR abs/2305.03276 (2023) - [i46]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 abs/2305.11480 (2023) - [i45]Hanyin Shao, Jie Huang, Shen Zheng, Kevin Chen-Chuan Chang:
Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage. CoRR abs/2305.12707 (2023) - [i44]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 abs/2305.14750 (2023) - [i43]Lam Thanh Do, Pritom Saha Akash, Kevin Chen-Chuan Chang:
Unsupervised Open-domain Keyphrase Generation. CoRR abs/2306.10755 (2023) - [i42]Jie Huang, Kevin Chen-Chuan Chang:
Citation: A Key to Building Responsible and Accountable Large Language Models. CoRR abs/2307.02185 (2023) - [i41]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 abs/2308.07922 (2023) - [i40]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 abs/2309.16583 (2023) - [i39]Pritom Saha Akash, Trisha Das, Kevin Chen-Chuan Chang:
TopicAdapt- An Inter-Corpora Topics Adaptation Approach. CoRR abs/2310.04978 (2023) - [i38]Kerui Zhu, Jie Huang, Kevin Chen-Chuan Chang:
Descriptive Knowledge Graph in Biomedical Domain. CoRR abs/2310.11681 (2023) - [i37]Yuxiang Liu, Jie Huang, Kevin Chen-Chuan Chang:
Ask To The Point: Open-Domain Entity-Centric Question Generation. CoRR abs/2310.14126 (2023) - [i36]Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang:
Text Fact Transfer. CoRR abs/2310.14486 (2023) - [i35]Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang:
Let the Pretrained Language Models "Imagine" for Short Texts Topic Modeling. CoRR abs/2310.15420 (2023) - [i34]Pritom Saha Akash, Kashob Kumar Roy, Lucian Popa, Kevin Chen-Chuan Chang:
Long-form Question Answering: An Iterative Planning-Retrieval-Generation Approach. CoRR abs/2311.09383 (2023) - [i33]Ziyi Chen, Xiaocong Yang, Jiacheng Lin, Chenkai Sun, Jie Huang, Kevin Chen-Chuan Chang:
Cascade Speculative Drafting for Even Faster LLM Inference. CoRR abs/2312.11462 (2023) - 2022
- [j40]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): 1133-1148 (2022) - [j39]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): 6 (2022) - [j38]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): 4285-4297 (2022) - [c105]Jie Huang, Kevin Chang, Jinjun Xiong, Wen-Mei Hwu:
Open Relation Modeling: Learning to Define Relations between Entities. ACL (Findings) 2022: 297-308 - [c104]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: 679-692 - [c103]Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang:
Are Large Pre-Trained Language Models Leaking Your Personal Information? EMNLP (Findings) 2022: 2038-2047 - [c102]Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu:
Understanding Jargon: Combining Extraction and Generation for Definition Modeling. EMNLP 2022: 3994-4004 - [c101]Jie Huang, Kerui Zhu, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu:
DEER: Descriptive Knowledge Graph for Explaining Entity Relationships. EMNLP 2022: 6686-6698 - [c100]Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang:
Coordinated Topic Modeling. EMNLP 2022: 9831-9843 - [c99]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: 1569-1570 - [i32]Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang, Yunyao Li, Lucian Popa, ChengXiang Zhai:
Domain Representative Keywords Selection: A Probabilistic Approach. CoRR abs/2203.10365 (2022) - [i31]Jie Huang, Kerui Zhu, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu:
DKG: A Descriptive Knowledge Graph for Explaining Relationships between Entities. CoRR abs/2205.10479 (2022) - [i30]Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang:
Are Large Pre-Trained Language Models Leaking Your Personal Information? CoRR abs/2205.12628 (2022) - [i29]Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu:
Can Language Models Be Specific? How? CoRR abs/2210.05159 (2022) - [i28]Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang:
Coordinated Topic Modeling. CoRR abs/2210.08559 (2022) - [i27]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 abs/2211.08228 (2022) - [i26]Jie Huang, Kevin Chen-Chuan Chang:
VER: Learning Natural Language Representations for Verbalizing Entities and Relations. CoRR abs/2211.11093 (2022) - [i25]Jie Huang, Kevin Chen-Chuan Chang:
Towards Reasoning in Large Language Models: A Survey. CoRR abs/2212.10403 (2022) - [i24]Chenzhengyi Liu, Jie Huang, Kerui Zhu, Kevin Chen-Chuan Chang:
DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept Relationships. CoRR abs/2212.10545 (2022) - 2021
- [j37]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): 1111-1123 (2021) - [j36]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): 154-168 (2021) - [c98]Jie Huang, Kevin Chang, Jinjun Xiong, Wen-Mei Hwu:
Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach. ACL/IJCNLP (1) 2021: 3641-3651 - [i23]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 abs/2105.13255 (2021) - [i22]Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei W. Hwu:
Open Relation Modeling: Learning to Define Relations between Entities. CoRR abs/2108.09241 (2021) - [i21]Anurendra Kumar, Keval Morabia, Jingjin Wang, Kevin Chen-Chuan Chang, Alexander G. Schwing:
CoVA: Context-aware Visual Attention for Webpage Information Extraction. CoRR abs/2110.12320 (2021) - [i20]Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang:
CDM: Combining Extraction and Generation for Definition Modeling. CoRR abs/2111.07267 (2021) - 2020
- [c97]Xiaodong Li, Reynold Cheng, Matin Najafi, Kevin Chen-Chuan Chang, Xiaolin Han, Hongtai Cao:
M-Cypher: A GQL Framework Supporting Motifs. CIKM 2020: 3433-3436 - [c96]Jie Huang, Zilong Wang, Kevin Chang, Wen-Mei Hwu, Jinjun Xiong:
Exploring Semantic Capacity of Terms. EMNLP (1) 2020: 8509-8518 - [c95]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: 1722-1725 - [c94]Zhijie Chen, Hongtai Cao, Kevin Chen-Chuan Chang:
GraphEBM: Energy-based Graph Construction for Semi-Supervised Learning. ICDM 2020: 62-71 - [c93]Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Yu Lei, Bo Yang:
Geom-GCN: Geometric Graph Convolutional Networks. ICLR 2020 - [c92]Hongbin Pei, Bingzhe Wei, Kevin Chang, Chunxu Zhang, Bo Yang:
Curvature Regularization to Prevent Distortion in Graph Embedding. NeurIPS 2020 - [c91]Amin Javari, Zhankui He, Zijie Huang, Jeetu Raj, Kevin Chen-Chuan Chang:
Weakly Supervised Attention for Hashtag Recommendation using Graph Data. WWW 2020: 1038-1048 - [c90]Amin Javari, Tyler Derr, Pouya Esmailian, Jiliang Tang, Kevin Chen-Chuan Chang:
ROSE: Role-based Signed Network Embedding. WWW 2020: 2782-2788 - [i19]Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Yu Lei, Bo Yang:
Geom-GCN: Geometric Graph Convolutional Networks. CoRR abs/2002.05287 (2020) - [i18]Chaochao Chen, Kevin Chen-Chuan Chang, Qibing Li, Xiaolin Zheng:
Semi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Model. CoRR abs/2003.02452 (2020) - [i17]Jie Huang, Zilong Wang, Kevin Chen-Chuan Chang, Wen-Mei Hwu, Jinjun Xiong:
Exploring Semantic Capacity of Terms. CoRR abs/2010.01898 (2020) - [i16]Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Chunxu Zhang, Bo Yang:
Curvature Regularization to Prevent Distortion in Graph Embedding. CoRR abs/2011.14211 (2020)
2010 – 2019
- 2019
- [j35]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): 39-50 (2019) - [j34]Hong Cao, Kevin Chen-Chuan Chang:
Nonintrusive Smartphone User Verification Using Anonymized Multimodal Data. IEEE Trans. Knowl. Data Eng. 31(3): 479-492 (2019) - [c89]Aravind Sankar, Xinyang Zhang, Kevin Chen-Chuan Chang:
Meta-GNN: metagraph neural network for semi-supervised learning in attributed heterogeneous information networks. ASONAM 2019: 137-144 - [c88]Suhansanu Kumar, Heting Gao, Changyu Wang, Kevin Chen-Chuan Chang, Hari Sundaram:
Hierarchical multi-armed bandits for discovering hidden populations. ASONAM 2019: 145-153 - [c87]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: 746-757 - [c86]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: 1972-1975 - [c85]Carl Yang, Kevin Chang:
Relationship Profiling over Social Networks: Reverse Smoothness from Similarity to Closeness. SDM 2019: 342-350 - [c84]Mangesh Bendre, Tana Wattanawaroon, Kelly Mack, Kevin Chang, Aditya G. Parameswaran:
Anti-Freeze for Large and Complex Spreadsheets: Asynchronous Formula Computation. SIGMOD Conference 2019: 1277-1294 - [i15]Suhansanu Kumar, Heting Gao, Changyu Wang, Hari Sundaram, Kevin Chen-Chuan Chang:
Mining Hidden Populations through Attributed Search. CoRR abs/1905.04505 (2019) - 2018
- [j33]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: 101-115 (2018) - [j32]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: 157-171 (2018) - [j31]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): 73:1-73:24 (2018) - [j30]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): 1616-1637 (2018) - [c83]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: 2355-2362 - [c82]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 - [c81]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: 113-124 - [c80]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: 1434-1439 - [c79]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: 1613-1622 - [c78]Denghao Ma, Yueguo Chen, Kevin Chen-Chuan Chang, Xiaoyong Du, Chuanfei Xu, Yi Chang:
Leveraging Fine-Grained Wikipedia Categories for Entity Search. WWW 2018: 1623-1632 - [r2]Kevin Chen-Chuan Chang:
Deep-Web Search. Encyclopedia of Database Systems (2nd ed.) 2018 - [i14]Kelly Mack, John Lee, Kevin Chen-Chuan Chang, Karrie Karahalios, Aditya G. Parameswaran:
Characterizing Scalability Issues in Spreadsheet Software using Online Forums. CoRR abs/1801.03829 (2018) - [i13]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 abs/1802.06265 (2018) - 2017
- [j29]Hongyun Cai, Vincent Wenchen Zheng, Fanwei Zhu, Kevin Chen-Chuan Chang, Zi Huang:
From Community Detection to Community Profiling. Proc. VLDB Endow. 10(7): 817-828 (2017) - [c77]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: 154-160 - [c76]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: 377-386 - [c75]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: 1397-1398 - [c74]Jia Wang, Vincent W. Zheng, Zemin Liu, Kevin Chen-Chuan Chang:
Topological Recurrent Neural Network for Diffusion Prediction. ICDM 2017: 475-484 - [c73]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: 1039-1044 - [i12]Hongyun Cai, Vincent Wenchen Zheng, Fanwei Zhu, Kevin Chen-Chuan Chang, Zi Huang:
From Community Detection to Community Profiling. CoRR abs/1701.04528 (2017) - [i11]Hongyun Cai, Vincent Wenchen Zheng, Kevin Chen-Chuan Chang:
Active Learning for Graph Embedding. CoRR abs/1705.05085 (2017) - [i10]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 abs/1708.06712 (2017) - [i9]Carl Yang, Hanqing Lu, Kevin Chen-Chuan Chang:
CONE: Community Oriented Network Embedding. CoRR abs/1709.01554 (2017) - [i8]Hongyun Cai, Vincent W. Zheng, Kevin Chen-Chuan Chang:
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications. CoRR abs/1709.07604 (2017) - [i7]Carl Yang, Kevin Chen-Chuan Chang:
Relationship Profiling over Social Networks: Reverse Smoothness from Similarity to Closeness. CoRR abs/1710.01363 (2017) - [i6]Aravind Sankar, Xinyang Zhang, Kevin Chen-Chuan Chang:
Motif-based Convolutional Neural Network on Graphs. CoRR abs/1711.05697 (2017) - [i5]Jia Wang, Vincent W. Zheng, Zemin Liu, Kevin Chen-Chuan Chang:
Topological Recurrent Neural Network for Diffusion Prediction. CoRR abs/1711.10162 (2017) - 2016
- [j28]Tao Hoang, Jixue Liu, Nicole Pratt, Vincent W. Zheng, Kevin Chen-Chuan Chang, Elizabeth Roughead, Jiuyong Li:
Detecting signals of detrimental prescribing cascades from social media. Artif. Intell. Medicine 71: 43-56 (2016) - [c72]Vincent W. Zheng, Hong Cao, Shenghua Gao, Aditi Adhikari, Miao Lin, Kevin Chen-Chuan Chang:
Cold-Start Heterogeneous-Device Wireless Localization. AAAI 2016: 1429-1435 - [c71]Vincent Wenchen Zheng, Kevin Chen-Chuan Chang:
Regularizing Structured Classifier with Conditional Probabilistic Constraints for Semi-supervised Learning. CIKM 2016: 1029-1038 - [c70]Yuan Fang, Wenqing Lin, Vincent Wenchen Zheng, Min Wu, Kevin Chen-Chuan Chang, Xiaoli Li:
Semantic proximity search on graphs with metagraph-based learning. ICDE 2016: 277-288 - [c69]Yuan Fang, Vincent W. Zheng, Kevin Chen-Chuan Chang:
Learning to query: Focused web page harvesting for entity aspects. ICDE 2016: 1002-1013 - [i4]Vincent W. Zheng, Sandro Cavallari, Hongyun Cai, Kevin Chen-Chuan Chang, Erik Cambria:
From Node Embedding To Community Embedding. CoRR abs/1610.09950 (2016) - 2015
- [j27]Mangesh Bendre, Bofan Sun, Ding Zhang, Xinyan Zhou, Kevin Chen-Chuan Chang, Aditya G. Parameswaran:
DATASPREAD: Unifying Databases and Spreadsheets. Proc. VLDB Endow. 8(12): 2000-2003 (2015) - [j26]Fanwei Zhu, Yuan Fang, Kevin Chen-Chuan Chang, Jing Ying:
Scheduled approximation for Personalized PageRank with Utility-based Hub Selection. VLDB J. 24(5): 655-679 (2015) - [c68]Miao Lin, Hong Cao, Vincent W. Zheng, Kevin Chen-Chuan Chang, Shonali Krishnaswamy:
Mobile user verification/identification using statistical mobility profile. BigComp 2015: 15-18 - [c67]Aditi Adhikari, Vincent W. Zheng, Hong Cao, Miao Lin, Yuan Fang, Kevin Chen-Chuan Chang:
IntelligShop: Enabling Intelligent Shopping in Malls through Location-Based Augmented Reality. ICDM Workshops 2015: 1604-1607 - [c66]Miao Lin, Hong Cao, Vincent W. Zheng, Kevin Chen-Chuan Chang, Shonali Krishnaswamy:
Mobility Profiling for User Verification with Anonymized Location Data. IJCAI 2015: 960-966 - [c65]Fangzhou Yao, Kevin Chen-Chuan Chang, Roy H. Campbell:
Ushio: Analyzing News Media and Public Trends in Twitter. UCC 2015: 424-429 - [i3]Jia Wang, Kevin Chen-Chuan Chang, Hari Sundaram:
Network Cartography: Seeing the Forest and the Trees. CoRR abs/1512.06021 (2015) - 2014
- [j25]Kevin Chen-Chuan Chang:
Front Matter. Proc. VLDB Endow. 8(2): i-x (2014) - [c64]Aston Zhang, Xing Xie, Kevin Chen-Chuan Chang, Carl A. Gunter, Jiawei Han, XiaoFeng Wang:
Privacy Risk in Anonymized Heterogeneous Information Networks. EDBT 2014: 595-606 - [c63]Yuan Fang, Kevin Chen-Chuan Chang, Hady Wirawan Lauw:
Graph-based Semi-supervised Learning: Realizing Pointwise Smoothness Probabilistically. ICML 2014: 406-414 - [c62]Mianwei Zhou, Kevin Chen-Chuan Chang:
Unifying learning to rank and domain adaptation: enabling cross-task document scoring. KDD 2014: 781-790 - [c61]Manish Gupta, Rui Li, Kevin Chen-Chuan Chang:
Towards a social media analytics platform: event detection and user profiling for twitter. WWW (Companion Volume) 2014: 193-194 - [c60]Rui Li, Chi Wang, Kevin Chen-Chuan Chang:
User profiling in an ego network: co-profiling attributes and relationships. WWW 2014: 819-830 - 2013
- [j24]Fanwei Zhu, Yuan Fang, Kevin Chen-Chuan Chang, Jing Ying:
Incremental and Accuracy-Aware Personalized PageRank through Scheduled Approximation. Proc. VLDB Endow. 6(6): 481-492 (2013) - [j23]Rui Li, Shengjie Wang, Kevin Chen-Chuan Chang:
Towards Social Data Platform: Automatic Topic-focused Monitor for Twitter Stream. Proc. VLDB Endow. 6(14): 1966-1977 (2013) - [c59]Mianwei Zhou, Kevin Chen-Chuan Chang:
Entity-centric document filtering: boosting feature mapping through meta-features. CIKM 2013: 119-128 - [c58]Yuan Fang, Kevin Chen-Chuan Chang, Hady Wirawan Lauw:
RoundTripRank: Graph-based proximity with importance and specificity? ICDE 2013: 613-624 - [c57]Mianwei Zhou, Hongning Wang, Kevin Chen-Chuan Chang:
Learning to rank from distant supervision: Exploiting noisy redundancy for relational entity search. ICDE 2013: 829-840 - [i2]Rui Li, Kevin Chen-Chuan Chang:
EgoNet-UIUC: A Dataset For Ego Network Research. CoRR abs/1309.4157 (2013) - 2012
- [j22]Rui Li, Shengjie Wang, Kevin Chen-Chuan Chang:
Multiple Location Profiling for Users and Relationships from Social Network and Content. Proc. VLDB Endow. 5(11): 1603-1614 (2012) - [c56]Rui Li, Kin Hou Lei, Ravi Khadiwala, Kevin Chen-Chuan Chang:
TEDAS: A Twitter-based Event Detection and Analysis System. ICDE 2012: 1273-1276 - [c55]Rui Li, Shengjie Wang, Hongbo Deng, Rui Wang, Kevin Chen-Chuan Chang:
Towards social user profiling: unified and discriminative influence model for inferring home locations. KDD 2012: 1023-1031 - [c54]Yuan Fang, Bo-June Paul Hsu, Kevin Chen-Chuan Chang:
Confidence-aware graph regularization with heterogeneous pairwise features. SIGIR 2012: 951-960 - [i1]Rui Li, Shengjie Wang, Kevin Chen-Chuan Chang:
Multiple Location Profiling for Users and Relationships from Social Network and Content. CoRR abs/1208.0288 (2012) - 2011
- [c53]Yuan Fang, Kevin Chen-Chuan Chang:
Searching patterns for relation extraction over the web: rediscovering the pattern-relation duality. WSDM 2011: 825-834 - 2010
- [j21]Kevin Chen-Chuan Chang, J. Marc Overhage, Siu L. Hui, Martin Chieng Were:
Case report: Enhancing laboratory report contents to improve outpatient management of test results. J. Am. Medical Informatics Assoc. 17(1): 99-103 (2010) - [c52]Tao Cheng, Kevin Chen-Chuan Chang:
Beyond pages: supporting efficient, scalable entity search with dual-inversion index. EDBT 2010: 15-26 - [c51]Tao Cheng, Kevin Chen-Chuan Chang:
Toward large scale data-aware search: Ranking, indexing, resolution and beyond. ICDE Workshops 2010: 297-300 - [c50]Mianwei Zhou, Tao Cheng, Kevin Chen-Chuan Chang:
DoCQS: a prototype system for supporting data-oriented content query. SIGMOD Conference 2010: 1211-1214 - [c49]Mianwei Zhou, Tao Cheng, Kevin Chen-Chuan Chang:
Data-oriented content query system: searching for data into text on the web. WSDM 2010: 121-130 - [c48]Ganesh Agarwal, Govind Kabra, Kevin Chen-Chuan Chang:
Towards rich query interpretation: walking back and forth for mining query templates. WWW 2010: 1-10
2000 – 2009
- 2009
- [c47]Yunliang Jiang, Hui-Ting Yang, Kevin Chen-Chuan Chang, Yi-Shin Chen:
AIDE: ad-hoc intents detection engine over query logs. SIGMOD Conference 2009: 1091-1094 - [r1]Kevin Chen-Chuan Chang:
Deep-Web Search. Encyclopedia of Database Systems 2009: 784-788 - 2008
- [j20]Mohamed A. Soliman, Ihab F. Ilyas, Kevin Chen-Chuan Chang:
Probabilistic top-k and ranking-aggregate queries. ACM Trans. Database Syst. 33(3): 13:1-13:54 (2008) - [j19]Soumyadeb Mitra, Marianne Winslett, Windsor W. Hsu, Kevin Chen-Chuan Chang:
Trustworthy keyword search for compliance storage. VLDB J. 17(2): 225-242 (2008) - [c46]Shui-Lung Chuang, Kevin Chen-Chuan Chang:
Integrating web query results: holistic schema matching. CIKM 2008: 33-42 - 2007
- [j18]Bin He, Mitesh Patel, Zhen Zhang, Kevin Chen-Chuan Chang:
Accessing the deep web. Commun. ACM 50(5): 94-101 (2007) - [j17]Hwanjo Yu, Seung-won Hwang, Kevin Chen-Chuan Chang:
Enabling soft queries for data retrieval. Inf. Syst. 32(4): 560-574 (2007) - [j16]Seung-won Hwang, Kevin Chen-Chuan Chang:
Probe Minimization by Schedule Optimization: Supporting Top-K Queries with Expensive Predicates. IEEE Trans. Knowl. Data Eng. 19(5): 646-662 (2007) - [j15]Seung-won Hwang, Kevin Chen-Chuan Chang:
Optimizing top-k queries for middleware access: A unified cost-based approach. ACM Trans. Database Syst. 32(1): 5 (2007) - [c45]Tao Cheng, Kevin Chen-Chuan Chang:
Entity Search Engine: Towards Agile Best-Effort Information Integration over the Web. CIDR 2007: 108-113 - [c44]Mohamed A. Soliman, Ihab F. Ilyas, Kevin Chen-Chuan Chang:
Top-k Query Processing in Uncertain Databases. ICDE 2007: 896-905 - [c43]Shui-Lung Chuang, Kevin Chen-Chuan Chang, ChengXiang Zhai:
Collaborative Wrapping: A Turbo Framework for Web Data Extraction. ICDE 2007: 1261-1262 - [c42]Govind Kabra, Zhen Zhang, Kevin Chen-Chuan Chang:
Dewex: An Exploration Facility for Enabling the Deep Web Integration. ICDE 2007: 1511-1512 - [c41]Dong Xin, Jiawei Han, Kevin Chen-Chuan Chang:
Progressive and selective merge: computing top-k with ad-hoc ranking functions. SIGMOD Conference 2007: 103-114 - [c40]Chengkai Li, Min Wang, Lipyeow Lim, Haixun Wang, Kevin Chen-Chuan Chang:
Supporting ranking and clustering as generalized order-by and group-by. SIGMOD Conference 2007: 127-138 - [c39]Mohamed A. Soliman, Ihab F. Ilyas, Kevin Chen-Chuan Chang:
URank: formulation and efficient evaluation of top-k queries in uncertain databases. SIGMOD Conference 2007: 1082-1084 - [c38]Tao Cheng, Xifeng Yan, Kevin Chen-Chuan Chang:
Supporting entity search: a large-scale prototype search engine. SIGMOD Conference 2007: 1144-1146 - [c37]Tao Cheng, Xifeng Yan, Kevin Chen-Chuan Chang:
EntityRank: Searching Entities Directly and Holistically. VLDB 2007: 387-398 - [c36]Shui-Lung Chuang, Kevin Chen-Chuan Chang, ChengXiang Zhai:
Context-Aware Wrapping: Synchronized Data Extraction. VLDB 2007: 699-710 - [e1]Kevin Chen-Chuan Chang, Wei Wang, Lei Chen, Clarence A. Ellis, Ching-Hsien Hsu, Ah Chung Tsoi, Haixun Wang:
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. Lecture Notes in Computer Science 4537, Springer 2007, ISBN 978-3-540-72908-2 [contents] - 2006
- [j14]Bin He, Kevin Chen-Chuan Chang:
Automatic complex schema matching across Web query interfaces: A correlation mining approach. ACM Trans. Database Syst. 31(1): 346-395 (2006) - [c35]Chengkai Li, Kevin Chen-Chuan Chang, Ihab F. Ilyas:
Supporting ad-hoc ranking aggregates. SIGMOD Conference 2006: 61-72 - [c34]Zhen Zhang, Seung-won Hwang, Kevin Chen-Chuan Chang, Min Wang, Christian A. Lang, Yuan-Chi Chang:
Boolean + ranking: querying a database by k-constrained optimization. SIGMOD Conference 2006: 359-370 - [c33]Kevin Chen-Chuan Chang, Junghoo Cho:
Accessing the web: from search to integration. SIGMOD Conference 2006: 804-805 - 2005
- [c32]Kevin Chen-Chuan Chang, Bin He, Zhen Zhang:
Toward Large Scale Integration: Building a MetaQuerier over Databases on the Web. CIDR 2005: 44-55 - [c31]Seung-won Hwang, Kevin Chen-Chuan Chang:
Optimizing Access Cost for Top-k Queries over Web Sources: A Unified Cost-based Approach. ICDE 2005: 188-189 - [c30]Hwanjo Yu, Seung-won Hwang, Kevin Chen-Chuan Chang:
Enabling Ad-hoc Ranking for Data Retrieval. ICDE 2005: 514-515 - [c29]Bin He, Zhen Zhang, Kevin Chen-Chuan Chang:
Towards Building a MetaQuerier: Extracting and Matching Web Query Interfaces. ICDE 2005: 1098-1099 - [c28]Bin He, Kevin Chen-Chuan Chang:
Making holistic schema matching robust: an ensemble approach. KDD 2005: 429-438 - [c27]Chengkai Li, Kevin Chen-Chuan Chang, Ihab F. Ilyas, Sumin Song:
RankSQL: Query Algebra and Optimization for Relational Top-k Queries. SIGMOD Conference 2005: 131-142 - [c26]Bin He, Zhen Zhang, Kevin Chen-Chuan Chang:
MetaQuerier: querying structured web sources on-the-fly. SIGMOD Conference 2005: 927-929 - [c25]Zhen Zhang, Bin He, Kevin Chen-Chuan Chang:
Light-weight Domain-based Form Assistant: Querying Web Databases On the Fly. VLDB 2005: 97-108 - [c24]Chengkai Li, Mohamed A. Soliman, Kevin Chen-Chuan Chang, Ihab F. Ilyas:
RankSQL: Supporting Ranking Queries in Relational Database Management Systems. VLDB 2005: 1342-1345 - [c23]Govind Kabra, Chengkai Li, Kevin Chen-Chuan Chang:
Query Routing: Finding Ways in the Maze of the DeepWeb. WIRI 2005: 64-73 - 2004
- [j13]Bing Liu, Kevin Chen-Chuan Chang:
Editorial: special issue on web content mining. SIGKDD Explor. 6(2): 1-4 (2004) - [j12]Kevin Chen-Chuan Chang, Bin He, Zhen Zhang:
Mining semantics for large scale integration on the web: evidences, insights, and challenges. SIGKDD Explor. 6(2): 67-76 (2004) - [j11]Kevin Chen-Chuan Chang, Bin He, Chengkai Li, Mitesh Patel, Zhen Zhang:
Structured Databases on the Web: Observations and Implications. SIGMOD Rec. 33(3): 61-70 (2004) - [j10]Bin He, Kevin Chen-Chuan Chang:
A Holistic Paradigm for Large Scale Schema Matching. SIGMOD Rec. 33(4): 20-25 (2004) - [j9]Hwanjo Yu, Jiawei Han, Kevin Chen-Chuan Chang:
PEBL: Web Page Classification without Negative Examples. IEEE Trans. Knowl. Data Eng. 16(1): 70-81 (2004) - [c22]Bin He, Tao Tao, Kevin Chen-Chuan Chang:
Organizing structured web sources by query schemas: a clustering approach. CIKM 2004: 22-31 - [c21]Bin He, Kevin Chen-Chuan Chang, Jiawei Han:
Mining complex matchings across Web query interfaces. DMKD 2004: 3-10 - [c20]Bin He, Tao Tao, Kevin Chen-Chuan Chang:
Clustering Structured Web Sources: A Schema-Based, Model-Differentiation Approach. EDBT Workshops 2004: 536-546 - [c19]Bin He, Kevin Chen-Chuan Chang, Jiawei Han:
Discovering complex matchings across web query interfaces: a correlation mining approach. KDD 2004: 148-157 - [c18]Yi Wu, Edward Y. Chang, Kevin Chen-Chuan Chang, John R. Smith:
Optimal multimodal fusion for multimedia data analysis. ACM Multimedia 2004: 572-579 - [c17]Zhen Zhang, Bin He, Kevin Chen-Chuan Chang:
Understanding Web Query Interfaces: Best-Effort Parsing with Hidden Syntax. SIGMOD Conference 2004: 107-118 - [c16]Bin He, Zhen Zhang, Kevin Chen-Chuan Chang:
Knocking the Door to the Deep Web: Integration of Web Query Interfaces. SIGMOD Conference 2004: 913-914 - 2003
- [c15]Bin He, Kevin Chen-Chuan Chang:
Statistical Schema Matching across Web Query Interfaces. SIGMOD Conference 2003: 217-228 - 2002
- [j8]Jiawei Han, Kevin Chen-Chuan Chang:
Data Mining for Web Intelligence. Computer 35(11): 64-70 (2002) - [j7]Marianne Winslett, Kevin Chen-Chuan Chang, AnHai Doan, Jiawei Han, ChengXiang Zhai, Yuanyuan Zhou:
Database Research at the University of Illinois at Urbana-Champaign. SIGMOD Rec. 31(3): 97-102 (2002) - [c14]Hwanjo Yu, Kevin Chen-Chuan Chang, Jiawei Han:
Heterogeneous Learner for Web Page Classification. ICDM 2002: 538-545 - [c13]Hwanjo Yu, Jiawei Han, Kevin Chen-Chuan Chang:
PEBL: positive example based learning for Web page classification using SVM. KDD 2002: 239-248 - [c12]Kevin Chen-Chuan Chang, Seung-won Hwang:
Minimal probing: supporting expensive predicates for top-k queries. SIGMOD Conference 2002: 346-357 - 2001
- [j6]Kevin Chen-Chuan Chang, Hector Garcia-Molina:
Approximate query mapping: Accounting for translation closeness. VLDB J. 10(2-3): 155-181 (2001) - [c11]Joe Futrelle, Su-Shing Chen, Kevin Chen-Chuan Chang:
NBDL: a CIS framework for NSDL. JCDL 2001: 124-125 - 2000
- [c10]Kevin Chen-Chuan Chang, Hector Garcia-Molina:
Approximate Query Translation Across Heterogeneous Information Sources. VLDB 2000: 566-577
1990 – 1999
- 1999
- [j5]Andreas Paepcke, Michelle Q. Wang Baldonado, Kevin Chen-Chuan Chang, Steve B. Cousins, Hector Garcia-Molina:
Using Distributed Objects to Build the Stanford Digital Library Infobus. Computer 32(2): 80-87 (1999) - [j4]Kevin Chen-Chuan Chang, Hector Garcia-Molina, Andreas Paepcke:
Predicate Rewriting for Translating Boolean Queries in a Heterogeneous Information System. ACM Trans. Inf. Syst. 17(1): 1-39 (1999) - [c9]Kevin Chen-Chuan Chang, Hector Garcia-Molina:
Mind Your Vocabulary: Query Mapping Across Heterogeneous Information Sources. SIGMOD Conference 1999: 335-346 - [c8]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:
PowerBookmarks: A System for Personalizable Web Information Organization, Sharing, and Management. SIGMOD Conference 1999: 565-567 - 1998
- [j3]Andreas Paepcke, Kevin Chen-Chuan Chang, Hector Garcia-Molina, Terry Winograd:
Interoperability for Digital Libraries Worldwide. Commun. ACM 41(4): 33-43 (1998) - [c7]Michelle Q. Wang Baldonado, Seth Katz, Andreas Paepcke, Kevin Chen-Chuan Chang, Hector Garcia-Molina, Terry Winograd:
An Extensible Constructor Tool for the Rapid, Interactive Design of Query Synthesizers. ACM DL 1998: 19-28 - [c6]Kevin Chen-Chuan Chang, Hector Garcia-Molina:
Conjunctive Constraint Mapping for Data Translation. ACM DL 1998: 49-58 - [c5]Wen-Syan Li, Yi-Leh Wu, Corey Bufi, Kevin Chen-Chuan Chang, Divyakant Agrawal, Yoshinori Hara:
PowerBookmarks: An Advanced Web Bookmark Database System and its Information Sharing and Management. FODO 1998: 200-209 - [c4]Martin Röscheisen, Michelle Q. Wang Baldonado, Kevin Chen-Chuan Chang, Luis Gravano, Steven P. Ketchpel, Andreas Paepcke:
The Stanford InfoBus and Its Service Layers: Augmenting the Internet with High-Level Information Management Protocols. The MeDoc Approach 1998: 213-230 - 1997
- [j2]Michelle Q. Wang Baldonado, Kevin Chen-Chuan Chang, Luis Gravano, Andreas Paepcke:
The Stanford Digital Library Metadata Architecture. Int. J. Digit. Libr. 1(2): 108-121 (1997) - [c3]Michelle Q. Wang Baldonado, Kevin Chen-Chuan Chang, Luis Gravano, Andreas Paepcke:
Metadata for Digital Libraries: Architecture and Design Rationale. ACM DL 1997: 47-56 - [c2]Kevin Chen-Chuan Chang, Hector Garcia-Molina:
Evaluating the Cost of Boolean Query Mapping. ACM DL 1997: 103-112 - [c1]Luis Gravano, Kevin Chen-Chuan Chang, Hector Garcia-Molina, Andreas Paepcke:
STARTS: Stanford Proposal for Internet Meta-Searching (Experience Paper). SIGMOD Conference 1997: 207-218 - 1996
- [j1]Kevin Chen-Chuan Chang, Hector Garcia-Molina, Andreas Paepcke:
Boolean Query Mapping Across Heterogeneous Information Sources. IEEE Trans. Knowl. Data Eng. 8(4): 515-521 (1996)
Coauthor Index
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