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D-Index & Metrics

Computer Science

D-Index
59
Citations
19658
World Ranking
3357
National Ranking
450

Overview

Wayne Xin Zhao is affiliated with Renmin University of China. Their research spans extensively within the field of computer science, with a focus on artificial intelligence, information systems, and computer vision and pattern recognition.

Their scholarly work covers a range of subfields including:

  • Artificial Intelligence
  • Information Systems
  • Computer Vision and Pattern Recognition
  • Management Science and Operations Research
  • Transportation

Wayne Xin Zhao has published numerous papers, notable recent ones include:

  • "A Survey of Large Language Models" (2023), published in arXiv (Cornell University)
  • "Pre-trained models: Past, present and future" (2021), published in AI Open
  • "A survey on large language model based autonomous agents" (2024), published in Frontiers of Computer Science
  • "Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning" (2022), published in Proceedings of the ACM Web Conference 2022
  • "PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction" (2023), published in Proceedings of the AAAI Conference on Artificial Intelligence

Their frequent coauthors include:

  • Ji-Rong Wen
  • Yupeng Hou
  • Tianyi Tang
  • Kun Zhou
  • Yaliang Li

The scientist publishes regularly in a variety of venues, with the highest number of publications in:

  • arXiv (Cornell University)
  • ACM Transactions on Information Systems
  • Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • Proceedings of the 31st ACM International Conference on Information & Knowledge Management
  • Signal Image and Video Processing

Wayne Xin Zhao's main research topics include:

  • Topic Modeling
  • Recommender Systems and Techniques
  • Natural Language Processing Techniques
  • Advanced Graph Neural Networks
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Bandit Algorithms Research

Best Publications

  • A Survey of Large Language Models

    Unknown

  • Comparing twitter and traditional media using topic models

    Wayne Xin Zhao;Jing Jiang;Jianshu Weng;Jing He

  • Heterogeneous Information Network Embedding for Recommendation

    Chuan Shi;Binbin Hu;Wayne Xin Zhao;Philip S. Yu

  • Pre-Trained Models: Past, Present and Future

    Xu Han;Zhengyan Zhang;Ning Ding;Yuxian Gu

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

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

  • Leveraging Meta-path based Context for Top- N Recommendation with A Neural Co-Attention Model

    Binbin Hu;Chuan Shi;Wayne Xin Zhao;Philip S. Yu

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

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

  • Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks

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

  • RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering

    Yingqi Qu;Yuchen Ding;Jing Liu;Kai Liu

  • Filter-enhanced MLP is All You Need for Sequential Recommendation

    Unknown

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

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

  • Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network

    Xiangyang Zhou;Lu Li;Daxiang Dong;Yi Liu

  • Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion

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

  • Towards Universal Sequence Representation Learning for Recommender Systems

    Unknown

  • Connecting Social Media to E-Commerce: Cold-Start Product Recommendation Using Microblogging Information

    Wayne Xin Zhao;Sui Li;Yulan He;Edward Y. Chang

  • A Survey on Large Language Model based Autonomous Agents

    Unknown

  • A Survey of Vision-Language Pre-Trained Models

    Unknown

  • We know what you want to buy: a demographic-based system for product recommendation on microblogs

    Xin Wayne Zhao;Yanwei Guo;Yulan He;Han Jiang

  • Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals

    Gaole He;Yunshi Lan;Jing Jiang;Wayne Xin Zhao

  • Sequential Recommendation with Self-Attentive Multi-Adversarial Network

    Ruiyang Ren;Zhaoyang Liu;Yaliang Li;Wayne Xin Zhao

  • A Neural Network Approach to Jointly Modeling Social Networks and Mobile Trajectories

    Cheng Yang;Maosong Sun;Wayne Xin Zhao;Zhiyuan Liu

  • RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking

    Ruiyang Ren;Yingqi Qu;Jing Liu;Wayne Xin Zhao

  • A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions

    Yunshi Lan;Gaole He;Jinhao Jiang;Jing Jiang

  • Towards Topic-Guided Conversational Recommender System.

    Kun Zhou;Yuanhang Zhou;Wayne Xin Zhao;Xiaoke Wang

  • A Neural Collaborative Filtering Model with Interaction-based Neighborhood

    Ting Bai;Ji-Rong Wen;Jun Zhang;Wayne Xin Zhao

  • Counterfactual Data-Augmented Sequential Recommendation

    Zhenlei Wang;Jingsen Zhang;Hongteng Xu;Xu Chen

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

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

Frequent Co-Authors

Ji-Rong Wen
Ji-Rong Wen Renmin University of China
Yaliang Li
Yaliang Li Alibaba Group (China)
Jian-Yun Nie
Jian-Yun Nie University of Montreal
Yulan He
Yulan He King's College London
Jing Jiang
Jing Jiang Singapore Management University
Hua Wu
Hua Wu Baidu (China)
Haifeng Wang
Haifeng Wang Baidu (China)
Yongfeng Zhang
Yongfeng Zhang Rutgers, The State University of New Jersey
Chuan Shi
Chuan Shi Beijing University of Posts and Telecommunications
Jing Gao
Jing Gao Purdue University West Lafayette

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