World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
76
Citations
24708
World Ranking
1336
National Ranking
178

Research.com Recognitions

  • 2010 - ACM Senior Member

Overview

Ji-Rong Wen is affiliated with Renmin University of China and maintains an extensive research portfolio primarily within the field of Computer Science. Their scholarly work spans multiple subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Management Science and Operations Research, and Signal Processing.

The scientist's main research topics include Topic Modeling, Natural Language Processing Techniques, Recommender Systems and Techniques, Advanced Graph Neural Networks, Multimodal Machine Learning Applications, Domain Adaptation and Few-Shot Learning, and Information Retrieval and Search Behavior.

Ji-Rong Wen's recent papers demonstrate a focus on cutting-edge topics in language models and artificial intelligence. Notable publications include:

  • A Survey of Large Language Models, 2023, arXiv (Cornell University)
  • Pre-trained models: Past, present and future, 2021, AI Open
  • A survey on large language model based autonomous agents, 2024, Frontiers of Computer Science
  • Towards artificial general intelligence via a multimodal foundation model, 2022, Nature Communications
  • Towards Universal Sequence Representation Learning for Recommender Systems, 2022, Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

The scientist frequently collaborates with other researchers in the field, with key co-authors including Wayne Xin Zhao, Zhicheng Dou, Jun Xu, Yupeng Hou, and Kun Zhou.

Ji-Rong Wen also publishes regularly in prominent venues where they have multiple contributions. These venues include:

  • arXiv (Cornell University)
  • ACM Transactions on Information Systems
  • IEEE Transactions on Knowledge and Data Engineering
  • Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • Proceedings of the AAAI Conference on Artificial Intelligence

Their work has received recognition in the form of the ACM Senior Member award awarded in 2010.

Best Publications

  • VIPS: a Vision-based Page Segmentation Algorithm

    Deng Cai;Shipeng Yu;Ji-Rong Wen;Wei-Ying Ma

  • Pre-Trained Models: Past, Present and Future

    Xu Han;Zhengyan Zhang;Ning Ding;Yuxian Gu

  • A large-scale evaluation and analysis of personalized search strategies

    Zhicheng Dou;Ruihua Song;Ji-Rong Wen

  • S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization

    Kun Zhou;Hui Wang;Wayne Xin Zhao;Yutao Zhu

  • Probabilistic query expansion using query logs

    Hang Cui;Ji-Rong Wen;Jian-Yun Nie;Wei-Ying Ma

  • Clustering user queries of a search engine

    Ji-Rong Wen;Jian-Yun Nie;Hong-Jiang Zhang

  • S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization

    Kun Zhou;Hui Wang;Wayne Xin Zhao;Yutao Zhu

  • Extracting content structure for web pages based on visual representation

    Deng Cai;Shipeng Yu;Ji-Rong Wen;Wei-Ying Ma

  • Query Clustering Using User Logs

    Ji-Rong Wen;Jian-Yun Nie;HongJiang Zhang

  • Hierarchical clustering of WWW image search results using visual, textual and link information

    Deng Cai;Xiaofei He;Zhiwei Li;Wei-Ying Ma

  • Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks

    Jin Huang;Wayne Xin Zhao;Hongjian Dou;Ji-Rong Wen

  • Query expansion by mining user logs

    Hang Cui;Ji-Rong Wen;Jian-Yun Nie;Wei-Ying Ma

  • Improving pseudo-relevance feedback in web information retrieval using web page segmentation

    Shipeng Yu;Deng Cai;Ji-Rong Wen;Wei-Ying Ma

  • Learning block importance models for web pages

    Ruihua Song;Haifeng Liu;Ji-Rong Wen;Wei-Ying Ma

  • Object-level ranking: bringing order to Web objects

    Zaiqing Nie;Yuanzhi Zhang;Ji-Rong Wen;Wei-Ying Ma

  • StatSnowball: a statistical approach to extracting entity relationships

    Jun Zhu;Zaiqing Nie;Xiaojiang Liu;Bo Zhang

  • Counterfactual VQA: A Cause-Effect Look at Language Bias

    Yulei Niu;Kaihua Tang;Hanwang Zhang;Zhiwu Lu

  • RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms

    Wayne Xin Zhao;Shanlei Mu;Yupeng Hou;Zihan Lin

  • Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion

    Kun Zhou;Wayne Xin Zhao;Shuqing Bian;Yuanhang Zhou

  • Semi-Supervised Learning

    Xueyuan Zhou;Mikhail Belkin

  • Block-based web search

    Deng Cai;Shipeng Yu;Ji-Rong Wen;Wei-Ying Ma

  • Hierarchical Clustering of WWW Image Search Results Using Visual

    Deng Cai;Xiaofei He;Wei-Ying Ma;Ji-Rong Wen

  • RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms

    Wayne Xin Zhao;Shanlei Mu;Yupeng Hou;Zihan Lin

Frequent Co-Authors

Wei-Ying Ma
Wei-Ying Ma Tsinghua University
Shuming Shi
Shuming Shi Tencent (China)
Deng Cai
Deng Cai Zhejiang University
Jian-Yun Nie
Jian-Yun Nie University of Montreal
Xiaofei He
Xiaofei He Zhejiang University
Wayne Xin Zhao
Wayne Xin Zhao Renmin University of China
Shipeng Yu
Shipeng Yu Pinterest
Yi-Min Wang
Yi-Min Wang Microsoft (United States)
Zhiwei Li
Zhiwei Li Microsoft (United States)

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