World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
14380
World Ranking
5502
National Ranking
2511

Overview

Kevin Chen-Chuan Chang is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research primarily focuses on the field of Computer Science, with a substantial number of publications in Artificial Intelligence as a leading subfield. Additional subfields of study include Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition, and Statistical and Nonlinear Physics.

The scientist's work encompasses a range of prominent topics. These include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Advanced Text Analysis Techniques
  • Advanced Graph Neural Networks
  • Text and Document Classification Technologies
  • Web Data Mining and Analysis
  • Multimodal Machine Learning Applications

Kevin Chen-Chuan Chang has contributed frequently to several publication venues. The list of venues includes:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Proceedings of the VLDB Endowment
  • IEEE Transactions on Knowledge and Data Engineering
  • Social Network Analysis and Mining

Notable recent papers authored include:

  • "Geom-GCN: Geometric Graph Convolutional Networks," 2020, arXiv (Cornell University)
  • "Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs," 2023, arXiv (Cornell University)
  • "Active Surveillance via Group Sparse Bayesian Learning," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Towards Reasoning in Large Language Models: A Survey," 2022, arXiv (Cornell University)
  • "Why Does ChatGPT Fall Short in Providing Truthful Answers?" 2023, arXiv (Cornell University)

Frequent collaborators in their research include:

  • Jie Huang
  • Pritom Saha Akash
  • Jinjun Xiong
  • Wen-mei Hwu

Best Publications

  • A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications

    Hongyun Cai;Vincent W. Zheng;Kevin Chen-Chuan Chang

  • Structured databases on the web: observations and implications

    Kevin Chen-Chuan Chang;Bin He;Chengkai Li;Mitesh Patel

  • Top-k Query Processing in Uncertain Databases

    M. A. Soliman;I. F. Ilyas;K. Chen-Chuan Chang

  • TEDAS: A Twitter-based Event Detection and Analysis System

    Rui Li;Kin Hou Lei;Ravi Khadiwala;Kevin Chen-Chuan Chang

  • Accessing the deep web

    Bin He;Mitesh Patel;Zhen Zhang;Kevin Chen-Chuan Chang

  • Statistical schema matching across web query interfaces

    Bin He;Kevin Chen-Chuan Chang

  • Geom-GCN: Geometric Graph Convolutional Networks

    Hongbin Pei;Bingzhe Wei;Kevin Chen-Chuan Chang;Yu Lei

  • Towards social user profiling: unified and discriminative influence model for inferring home locations

    Rui Li;Shengjie Wang;Hongbo Deng;Rui Wang

  • Minimal probing: supporting expensive predicates for top-k queries

    Kevin Chen-Chuan Chang;Seung-won Hwang

  • PEBL: positive example based learning for Web page classification using SVM

    Hwanjo Yu;Jiawei Han;Kevin Chen-Chuan Chang

  • Learning Community Embedding with Community Detection and Node Embedding on Graphs

    Sandro Cavallari;Vincent W. Zheng;Hongyun Cai;Kevin Chen-Chuan Chang

  • RankSQL: query algebra and optimization for relational top-k queries

    Chengkai Li;Kevin Chen-Chuan Chang;Ihab F. Ilyas;Sumin Song

  • PEBL: Web page classification without negative examples

    Hwanjo Yu;Jiawei Han;K.C.-C. Chang

  • Optimal multimodal fusion for multimedia data analysis

    Yi Wu;Edward Y. Chang;Kevin Chen-Chuan Chang;John R. Smith

  • Understanding Web query interfaces: best-effort parsing with hidden syntax

    Zhen Zhang;Bin He;Kevin Chen-Chuan Chang

  • Toward large scale integration: Building a MetaQuerier over databases on the Web

    Kevin Chen Chuan Chang;Bin He;Zhen Zhang

  • Data mining for Web intelligence

    Jiawei Han;K.C.-C. Chang

  • Interoperability for digital libraries worldwide

    Andreas Paepcke;Chen-Chuan K. Chang;Terry Winograd;Héctor García-Molina

  • Discovering complex matchings across web query interfaces: a correlation mining approach

    Bin He;Kevin Chen-Chuan Chang;Jiawei Han

  • EntityRank: searching entities directly and holistically

    Tao Cheng;Xifeng Yan;Kevin Chen-Chuan Chang

Frequent Co-Authors

Vincent W. Zheng
Vincent W. Zheng Agency for Science, Technology and Research
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Ihab F. Ilyas
Ihab F. Ilyas University of Waterloo
Aditya Parameswaran
Aditya Parameswaran University of California, Berkeley
Hector Garcia-Molina
Hector Garcia-Molina Stanford University
Hari Sundaram
Hari Sundaram University of Illinois at Urbana-Champaign
Reynold Cheng
Reynold Cheng University of Hong Kong
Andreas Paepcke
Andreas Paepcke Stanford University
Mahdi Jalili
Mahdi Jalili RMIT University
Zhou Zhao
Zhou Zhao Zhejiang University

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