World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
8899
World Ranking
6490
National Ranking
865

Overview

Rui Yan is affiliated with Renmin University of China and has an extensive publication record primarily in the field of Computer Science, with a focus on Artificial Intelligence. Their research covers several subfields including Computer Vision and Pattern Recognition, Information Systems, Molecular Biology, and Neurology.

The main topics of Rui Yan's work include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Speech and Dialogue Systems
  • Advanced Text Analysis Techniques
  • Multimodal Machine Learning Applications
  • Neurological Disorders and Treatments
  • AI in Service Interactions

They have contributed scholarly articles to various publication venues. The most frequent venues for their work include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • SSRN Electronic Journal
  • ACM Transactions on Information Systems
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Rui Yan has collaborated with several notable co-authors, including:

  • Dongyan Zhao
  • Xiuying Chen
  • Shen Gao
  • Chongyang Tao
  • Mingzhe Li

Among their recent papers are:

  • "Temporal trends in the prevalence of Parkinson's disease from 1980 to 2023: a systematic review and meta-analysis" (2024, The Lancet Healthy Longevity)
  • "Projections for prevalence of Parkinson's disease and its driving factors in 195 countries and territories to 2050: modelling study of Global Burden of Disease Study 2021" (2025, BMJ)
  • "Low-Resource Knowledge-Grounded Dialogue Generation" (2020, arXiv (Cornell University))
  • "Metrnl Alleviates Lipid Accumulation by Modulating Mitochondrial Homeostasis in Diabetic Nephropathy" (2023, Diabetes)
  • "MISC: A Mixed Strategy-Aware Model integrating COMET for Emotional Support Conversation" (2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers))

The diversity of Rui Yan's publications spans artificial intelligence methodologies applied to both computational systems and biomedical contexts, demonstrating interdisciplinary integration between technology and health sciences.

Best Publications

  • Style Transfer in Text: Exploration and Evaluation

    Zhenxin Fu;Xiaoye Tan;Nanyun Peng;Dongyan Zhao

  • Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs

    Yuting Wu;Xiao Liu;Yansong Feng;Zheng Wang

  • Natural Language Inference by Tree-Based Convolution and Heuristic Matching

    Lili Mou;Rui Men;Ge Li;Yan Xu

  • Learning to Respond with Deep Neural Networks for Retrieval-Based Human-Computer Conversation System

    Rui Yan;Yiping Song;Hua Wu

  • Plan-And-Write: Towards Better Automatic Storytelling

    Lili Yao;Nanyun Peng;Ralph M. Weischedel;Kevin Knight

  • How Transferable are Neural Networks in NLP Applications

    Lili Mou;Zhao Meng;Rui Yan;Ge Li

  • Multi-view Response Selection for Human-Computer Conversation

    Xiangyang Zhou;Daxiang Dong;Hua Wu;Shiqi Zhao

  • Evolutionary timeline summarization: a balanced optimization framework via iterative substitution

    Rui Yan;Xiaojun Wan;Jahna Otterbacher;Liang Kong

  • Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation

    Lili Mou;Yiping Song;Rui Yan;Ge Li

  • RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems

    Chongyang Tao;Lili Mou;Dongyan Zhao;Rui Yan

  • Citation count prediction: learning to estimate future citations for literature

    Rui Yan;Jie Tang;Xiaobing Liu;Dongdong Shan

  • CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling

    Ning Miao;Hao Zhou;Lili Mou;Rui Yan

  • Get The Point of My Utterance! Learning Towards Effective Responses with Multi-Head Attention Mechanism

    Chongyang Tao;Shen Gao;Mingyue Shang;Wei Wu

  • One Time of Interaction May Not Be Enough: Go Deep with an Interaction-over-Interaction Network for Response Selection in Dialogues.

    Chongyang Tao;Wei Wu;Can Xu;Wenpeng Hu

  • How to Make Context More Useful? An Empirical Study on Context-Aware Neural Conversational Models

    Zhiliang Tian;Rui Yan;Lili Mou;Yiping Song

  • Knowledge-Grounded Dialogue Generation with Pre-trained Language Models

    Xueliang Zhao;Wei Wu;Can Xu;Chongyang Tao

  • Multi-Representation Fusion Network for Multi-Turn Response Selection in Retrieval-Based Chatbots

    Chongyang Tao;Wei Wu;Can Xu;Wenpeng Hu

  • Tweet Recommendation with Graph Co-Ranking

    Rui Yan;Mirella Lapata;Xiaoming Li

  • To better stand on the shoulder of giants

    Rui Yan;Congrui Huang;Jie Tang;Yan Zhang

  • Timeline Generation through Evolutionary Trans-Temporal Summarization

    Rui Yan;Liang Kong;Congrui Huang;Xiaojun Wan

  • OVERCOMING CATASTROPHIC FORGETTING FOR CONTINUAL LEARNING VIA MODEL ADAPTATION

    Wenpeng Hu;Zhou Lin;Bing Liu;Chongyang Tao

Frequent Co-Authors

Dongyan Zhao
Dongyan Zhao Peking University
Lili Mou
Lili Mou University of Alberta
Yansong Feng
Yansong Feng Peking University
Lidong Bing
Lidong Bing Carnegie Mellon University
Bing Liu
Bing Liu University of Illinois at Chicago
Lu Zhang
Lu Zhang Peking University
Mirella Lapata
Mirella Lapata University of Edinburgh
Xiaohua Hu
Xiaohua Hu Drexel University
Nanyun Peng
Nanyun Peng University of California, Los Angeles
Shuming Shi
Shuming Shi Tencent (China)

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