World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
10516
World Ranking
6128
National Ranking
809

Overview

Yi Chang is affiliated with Jilin University in China and focuses primarily on research within the field of Computer Science, with a total of 160 publications. Their work spans various subfields including Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Information Systems, and Computer Networks and Communications.

The scientist's research covers a diverse range of topics. Key areas include Topic Modeling, Advanced Graph Neural Networks, Single-cell and Spatial Transcriptomics, Natural Language Processing Techniques, Domain Adaptation and Few-Shot Learning, Text and Document Classification Technologies, and Gene Expression and Cancer Classification.

Yi Chang has contributed extensively to the scholarly community with several recent papers. Notable publications include:

  • "A Survey on Evaluation of Large Language Models" (2024) published in ACM Transactions on Intelligent Systems and Technology
  • "GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks" (2022) published in IEEE Transactions on Knowledge and Data Engineering
  • "Learning Signed Network Embedding via Graph Attention" (2020) published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "A Unified Collaborative Representation Learning for Neural-Network Based Recommender Systems" (2021) published in IEEE Transactions on Knowledge and Data Engineering
  • "Information Retrieval meets Large Language Models: A strategic report from Chinese IR community" (2023) published in AI Open

Yi Chang frequently collaborates with a group of recurrent coauthors. Among the most frequent collaborators are Hechang Chen, Huiyan Sun, Xiaofeng Cao, Jiliang Tang, and Yuan Wu.

Significant scholarly dissemination has occurred through prominent publication venues where Yi Chang has maintained a steady output. These venues include:

  • arXiv (Cornell University) with 36 publications
  • IEEE Transactions on Neural Networks and Learning Systems with 9 publications
  • Pattern Recognition with 8 publications
  • IEEE Transactions on Knowledge and Data Engineering with 7 publications
  • Proceedings of the AAAI Conference on Artificial Intelligence with 7 publications

Yi Chang has also contributed to academic books, including titles published by The "information retrieval series" and Springer Science+Business Media. Among these are "Query Understanding for Search Engines" (2020) and "Information Retrieval" (2023).

Best Publications

  • Abusive Language Detection in Online User Content

    Chikashi Nobata;Joel Tetreault;Achint Thomas;Yashar Mehdad

  • A Novel Cascade Binary Tagging Framework for Relational Triple Extraction

    Zhepei Wei;Jianlin Su;Yue Wang;Yuan Tian

  • Yahoo! Learning to Rank Challenge Overview

    Olivier Chapelle;Yi Chang

  • GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks

    Qiang Huang;Makoto Yamada;Yuan Tian;Dinesh Singh

  • Attributed Network Embedding for Learning in a Dynamic Environment

    Jundong Li;Harsh Dani;Xia Hu;Jiliang Tang

  • A Survey of Signed Network Mining in Social Media

    Jiliang Tang;Yi Chang;Charu Aggarwal;Huan Liu

  • Signed network embedding in social media

    Suhang Wang;Jiliang Tang;Charu C. Aggarwal;Yi Chang

  • Time is of the essence: improving recency ranking using Twitter data

    Anlei Dong;Ruiqiang Zhang;Pranam Kolari;Jing Bai

  • Zero-shot User Intent Detection via Capsule Neural Networks

    Congying Xia;Chenwei Zhang;Xiaohui Yan;Yi Chang

  • Towards recency ranking in web search

    Anlei Dong;Yi Chang;Zhaohui Zheng;Gilad Mishne

  • Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion

    Bo Wang;Tao Shen;Guodong Long;Tianyi Zhou

  • Mining social media with social theories: a survey

    Jiliang Tang;Yi Chang;Huan Liu

  • Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion

    Bo Wang;Tao Shen;Guodong Long;Tianyi Zhou

  • Target-Sensitive Memory Networks for Aspect Sentiment Classification

    Shuai Wang;Sahisnu Mazumder;Bing Liu;Mianwei Zhou

  • Self-paced Ensemble for Highly Imbalanced Massive Data Classification

    Zhining Liu;Wei Cao;Zhifeng Gao;Jiang Bian

  • What is Tumblr: a statistical overview and comparison

    Yi Chang;Lei Tang;Yoshiyuki Inagaki;Yan Liu

  • Streaming Recommender Systems

    Shiyu Chang;Yang Zhang;Jiliang Tang;Dawei Yin

  • Ranking Relevance in Yahoo Search

    Dawei Yin;Yuening Hu;Jiliang Tang;Tim Daly

  • Friend or frenemy?: predicting signed ties in social networks

    Shuang-Hong Yang;Alexander J. Smola;Bo Long;Hongyuan Zha

  • Active Learning for Ranking through Expected Loss Optimization

    Bo Long;Jiang Bian;Olivier Chapelle;Ya Zhang

  • Proceedings of the 25th ACM International on Conference on Information and Knowledge Management

    Snehasis Mukhopadhyay;ChengXiang Zhai;Elisa Bertino;Fabio Crestani

  • Learning to model relatedness for news recommendation

    Yuanhua Lv;Taesup Moon;Pranam Kolari;Zhaohui Zheng

Frequent Co-Authors

Dawei Yin
Dawei Yin Baidu (China)
Jiliang Tang
Jiliang Tang Michigan State University
Hongyuan Zha
Hongyuan Zha Chinese University of Hong Kong, Shenzhen
Huan Liu
Huan Liu Arizona State University
ChengXiang Zhai
ChengXiang Zhai University of Illinois at Urbana-Champaign
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Olivier Chapelle
Olivier Chapelle Google (United States)
Xuanhui Wang
Xuanhui Wang Google (United States)
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Belle L. Tseng
Belle L. Tseng Apple (United States)

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