World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
14178
World Ranking
5002
National Ranking
672

Overview

Wenjie Li is affiliated with Hong Kong Polytechnic University in China and has contributed extensively to the field of computer science, with a primary focus on artificial intelligence. Their research interests span several subfields, including artificial intelligence, computer vision and pattern recognition, computational mechanics, information systems, and molecular biology.

The scientist's work covers a range of topics such as topic modeling, natural language processing techniques, multimodal machine learning applications, speech and dialogue systems, advanced text analysis techniques, advanced graph neural networks, and recommender systems and techniques. These areas reflect their engagement with cutting-edge developments in both theoretical and applied aspects of computer science.

Wenjie Li's frequent collaborators include Yongqi Li, Ziqiang Cao, Yi Cheng, Jiashuo Wang, and Yefeng Zheng, indicating a consistent partnership network for producing research outputs.

The researcher has published across several prominent venues, with multiple contributions in arXiv (Cornell University), SSRN Electronic Journal, Proceedings of the AAAI Conference on Artificial Intelligence, ACM Transactions on Information Systems, and IEEE Transactions on Neural Networks and Learning Systems. This diversity of publication venues suggests a broad dissemination of their work in both pre-print and peer-reviewed contexts.

Some of their recent publications are as follows:

  • The Nexus between Environmental Corporate Social Responsibility, Green Intellectual Capital and Green Innovation towards Business Sustainability: An Empirical Analysis of Chinese Automobile Manufacturing Firms, 2023, International Journal of Environmental Research and Public Health
  • What and how driving consumer engagement and purchase intention in officer live streaming? A two-factor theory perspective, 2022, Electronic Commerce Research and Applications
  • Biodegradation and detoxification of neonicotinoid insecticide thiamethoxam by white-rot fungus Phanerochaete chrysosporium, 2021, Journal of Hazardous Materials
  • Query-Oriented Multi-Document Summarization via Unsupervised Deep Learning, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • DailyDialog: A Manually Labelled Multi-Turn Dialogue Dataset, 2025, TIB Data Manager

Best Publications

  • RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems

    Hongwei Wang;Fuzheng Zhang;Jialin Wang;Miao Zhao

  • Knowledge Graph Convolutional Networks for Recommender Systems

    Hongwei Wang;Miao Zhao;Xing Xie;Wenjie Li

  • DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset

    Yanran Li;Hui Su;Xiaoyu Shen;Wenjie Li

  • Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems

    Hongwei Wang;Fuzheng Zhang;Mengdi Zhang;Jure Leskovec

  • Social Collaborative Filtering by Trust

    Bo Yang;Yu Lei;Jiming Liu;Wenjie Li

  • Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation

    Hongwei Wang;Fuzheng Zhang;Miao Zhao;Wenjie Li

  • Mode regularized generative adversarial networks

    Tong Che;Yanran Li;Athul Paul Jacob;Athul Paul Jacob;Yoshua Bengio

  • Faithful to the Original: Fact Aware Neural Abstractive Summarization

    Ziqiang Cao;Furu Wei;Wenjie Li;Sujian Li

  • Extractive Summarization Using Supervised and Semi-Supervised Learning

    Kam-Fai Wong;Mingli Wu;Wenjie Li

  • Maximum-Likelihood Augmented Discrete Generative Adversarial Networks

    Tong Che;Yanran Li;Ruixiang Zhang;R Devon Hjelm

  • Applying regression models to query-focused multi-document summarization

    You Ouyang;Wenjie Li;Sujian Li;Qin Lu

  • Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization

    Ziqiang Cao;Wenjie Li;Sujian Li;Furu Wei

  • Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach

    Jingjing Xu;Xu Sun;Qi Zeng;Xiaodong Zhang

  • A novel neural topic model and its supervised extension

    Ziqiang Cao;Sujian Li;Yang Liu;Wenjie Li

  • Learning Summary Prior Representation for Extractive Summarization

    Ziqiang Cao;Furu Wei;Sujian Li;Wenjie Li

  • A Conditional Variational Framework for Dialog Generation

    Xiaoyu Shen;Hui Su;Yanran Li;Wenjie Li

  • Extractive Summarization using Inter- and Intra- Event Relevance

    Wenjie Li;Mingli Wu;Qin Lu;Wei Xu

  • Query-sensitive mutual reinforcement chain and its application in query-oriented multi-document summarization

    Furu Wei;Wenjie Li;Qin Lu;Yanxiang He

  • Component-Enhanced Chinese Character Embeddings

    Yanran Li;Wenjie Li;Fei Sun;Sujian Li

  • Exploring High-Order User Preference on the Knowledge Graph for Recommender Systems

    Hongwei Wang;Fuzheng Zhang;Jialin Wang;Miao Zhao

  • Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach

    Jingjing Xu;Xu Sun;Qi Zeng;Xuancheng Ren

  • Corpus Exploitation from Wikipedia for Ontology Construction

    Gaoying Cui;Qin Lu;Wenjie Li;Yi-Rong Chen

Frequent Co-Authors

Qin Lu
Qin Lu Hong Kong Polytechnic University
Kam-Fai Wong
Kam-Fai Wong Chinese University of Hong Kong
Sujian Li
Sujian Li Peking University
Furu Wei
Furu Wei Microsoft (United States)
Dawei Song
Dawei Song The Open University
Yu Lei
Yu Lei The University of Texas at Arlington
Xu Sun
Xu Sun Peking University
Ruifeng Xu
Ruifeng Xu Harbin Institute of Technology
Houfeng Wang
Houfeng Wang Peking University
Minyi Guo
Minyi Guo Shanghai Jiao Tong University

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