World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
10715
World Ranking
5324
National Ranking
713

Overview

Shaoping Ma is affiliated with Tsinghua University in China and conducts research primarily in computer science, with a strong focus on artificial intelligence and information systems. Their work spans several subfields, including computer vision and pattern recognition, management science and operations research, and cognitive neuroscience.

The researcher has contributed to various topics within their field, notably topic modeling, recommender systems and techniques, domain adaptation and few-shot learning, advanced bandit algorithms research, information retrieval and search behavior, advanced graph neural networks, and studies related to head and neck cancer.

Among the recent papers authored or co-authored by Shaoping Ma are:

  • A Survey on the Fairness of Recommender Systems, 2022, ACM Transactions on Information Systems
  • Efficient Neural Matrix Factorization without Sampling for Recommendation, 2020, ACM Transactions on Information Systems
  • Graph Heterogeneous Multi-Relational Recommendation, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Towards Representation Alignment and Uniformity in Collaborative Filtering, 2022, Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation, 2020, Proceedings of the AAAI Conference on Artificial Intelligence

The scientist frequently publishes in journals and conferences such as arXiv (Cornell University), International Journal of Radiation Oncology*Biology*Physics, ACM Transactions on Information Systems, Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining, and the Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.

Shaoping Ma often collaborates with other researchers including Yiqun Liu, Jiaxin Mao, Weizhi Ma, Min Zhang, and Jingtao Zhan. Collaboration counts indicate ongoing joint work with these colleagues across multiple publications.

Best Publications

  • Explicit factor models for explainable recommendation based on phrase-level sentiment analysis

    Yongfeng Zhang;Guokun Lai;Min Zhang;Yi Zhang

  • Neural Attentional Rating Regression with Review-level Explanations

    Chong Chen;Min Zhang;Yiqun Liu;Shaoping Ma

  • How good your recommender system is? A survey on evaluations in recommendation

    Thiago Silveira;Min Zhang;Xiao Lin;Yiqun Liu

  • Optimizing Dense Retrieval Model Training with Hard Negatives

    Jingtao Zhan;Jiaxin Mao;Yiqun Liu;Jiafeng Guo

  • Jointly Learning Explainable Rules for Recommendation with Knowledge Graph

    Weizhi Ma;Min Zhang;Yue Cao;Woojeong Jin

  • Towards Representation Alignment and Uniformity in Collaborative Filtering

    Unknown

  • Efficient Neural Matrix Factorization without Sampling for Recommendation

    Chong Chen;Min Zhang;Yongfeng Zhang;Yiqun Liu

  • Graph Heterogeneous Multi-Relational Recommendation

    Chong Chen;Weizhi Ma;Min Zhang;Zhaowei Wang

  • Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation

    Chong Chen;Min Zhang;Yongfeng Zhang;Weizhi Ma

  • An Efficient Adaptive Transfer Neural Network for Social-aware Recommendation

    Chong Chen;Min Zhang;Chenyang Wang;Weizhi Ma

  • Rating-boosted latent topics: understanding users and items with ratings and reviews

    Yunzhi Tan;Min Zhang;Yiqun Liu;Shaoping Ma

  • Discover breaking events with popular hashtags in twitter

    Anqi Cui;Min Zhang;Yiqun Liu;Shaoping Ma

  • Automatic online news issue construction in web environment

    Canhui Wang;Min Zhang;Shaoping Ma;Liyun Ru

  • BERT-PLI: Modeling Paragraph-Level Interactions for Legal Case Retrieval

    Yunqiu Shao;Jiaxin Mao;Yiqun Liu;Weizhi Ma

  • Social Attentional Memory Network: Modeling Aspect- and Friend-Level Differences in Recommendation

    Chong Chen;Min Zhang;Yiqun Liu;Shaoping Ma

  • Make It a Chorus: Knowledge- and Time-aware Item Modeling for Sequential Recommendation

    Chenyang Wang;Min Zhang;Weizhi Ma;Yiqun Liu

  • Automatic query type identification based on click through information

    Yiqun Liu;Min Zhang;Liyun Ru;Shaoping Ma

  • Do users rate or review?: boost phrase-level sentiment labeling with review-level sentiment classification

    Yongfeng Zhang;Haochen Zhang;Min Zhang;Yiqun Liu

  • Automatic online news topic ranking using media focus and user attention based on aging theory

    Canhui Wang;Min Zhang;Liyun Ru;Shaoping Ma

  • When does Relevance Mean Usefulness and User Satisfaction in Web Search

    Jiaxin Mao;Yiqun Liu;Ke Zhou;Jian-Yun Nie

  • Finding Experts Using Social Network Analysis

    Yupeng Fu;Rongjing Xiang;Yiqun Liu;Min Zhang

  • Emotion tokens: bridging the gap among multilingual twitter sentiment analysis

    Anqi Cui;Min Zhang;Yiqun Liu;Shaoping Ma

  • Jointly Learning Explainable Rules for Recommendation with Knowledge Graph

    Weizhi Ma;Min Zhang;Yue Cao;Woojeong

Frequent Co-Authors

Min Zhang
Min Zhang Tsinghua University
Yongfeng Zhang
Yongfeng Zhang Rutgers, The State University of New Jersey
Xiaohui Xie
Xiaohui Xie University of California, Irvine
Jian-Yun Nie
Jian-Yun Nie University of Montreal
Maarten de Rijke
Maarten de Rijke University of Amsterdam
Min-Yen Kan
Min-Yen Kan National University of Singapore
Meng Wang
Meng Wang Hefei University of Technology
Xiang Ren
Xiang Ren University of Southern California
Xiuqiang He
Xiuqiang He Huawei Technologies (China)
Qi Tian
Qi Tian Huawei Technologies (China)

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