World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
74
Citations
22121
World Ranking
1494
National Ranking
202

Overview

Richang Hong is affiliated with Hefei University of Technology in China and has contributed extensively to the field of computer science with a focus on computer vision, artificial intelligence, and information systems. Their work spans multiple specialized areas including advanced graph neural networks, multimodal machine learning applications, and recommender systems, among others.

The main fields of study covered by their research include:

  • Computer Science

Their research further delves into subfields such as:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Information Systems
  • Social Psychology
  • Signal Processing

Richang Hong's scholarly contributions address diverse topics including:

  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Recommender Systems and Techniques
  • Advanced Graph Neural Networks
  • Human Pose and Action Recognition
  • Topic Modeling

Frequent co-authors in their work include:

  • Meng Wang
  • Yanrong Guo
  • Le Wu
  • Shijie Hao
  • Zhao Zhang

Publications by Richang Hong appear regularly in key venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Computational Social Systems
  • IEEE Transactions on Circuits and Systems for Video Technology
  • Proceedings of the 30th ACM International Conference on Multimedia

Selected recent papers include:

  • Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation, 2020, IEEE Transactions on Knowledge and Data Engineering
  • Exploiting Subspace Relation in Semantic Labels for Cross-Modal Hashing, 2020, IEEE Transactions on Knowledge and Data Engineering
  • A Review-aware Graph Contrastive Learning Framework for Recommendation, 2022, Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
  • Deep Color Consistent Network for Low-Light Image Enhancement, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Best Publications

  • NUS-WIDE: a real-world web image database from National University of Singapore

    Tat-Seng Chua;Jinhui Tang;Richang Hong;Haojie Li

  • Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach

    Lei Chen;Le Wu;Richang Hong;Kun Zhang

  • MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video

    Yinwei Wei;Xiang Wang;Liqiang Nie;Xiangnan He

  • Crowded Scene Analysis: A Survey

    Teng Li;Huan Chang;Meng Wang;Bingbing Ni

  • A Neural Influence Diffusion Model for Social Recommendation

    Le Wu;Peijie Sun;Yanjie Fu;Richang Hong

  • Unified Video Annotation via Multigraph Learning

    Meng Wang;Xian-Sheng Hua;Richang Hong;Jinhui Tang

  • Multi-cue Correlation Filters for Robust Visual Tracking

    Ning Wang;Wengang Zhou;Qi Tian;Richang Hong

  • Multiple feature hashing for real-time large scale near-duplicate video retrieval

    Jingkuan Song;Yi Yang;Zi Huang;Heng Tao Shen

  • DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation

    Le Wu;Junwei Li;Peijie Sun;Richang Hong

  • Deep Item-based Collaborative Filtering for Top-N Recommendation

    Feng Xue;Xiangnan He;Xiang Wang;Jiandong Xu

  • Beyond Distance Measurement: Constructing Neighborhood Similarity for Video Annotation

    Meng Wang;Xian-Sheng Hua;Jinhui Tang;Richang Hong

  • Event Driven Web Video Summarization by Tag Localization and Key-Shot Identification

    Meng Wang;R. Hong;Guangda Li;Zheng-Jun Zha

  • Adaptive Transfer Network for Cross-Domain Person Re-Identification

    Jiawei Liu;Zheng-Jun Zha;Di Chen;Richang Hong

  • Point-of-Interest Recommendations: Learning Potential Check-ins from Friends

    Huayu Li;Yong Ge;Richang Hong;Hengshu Zhu

  • Deep Representation Learning With Part Loss for Person Re-Identification

    Hantao Yao;Shiliang Zhang;Richang Hong;Yongdong Zhang

  • Image annotation by kNN-sparse graph-based label propagation over noisily tagged web images

    Jinhui Tang;Richang Hong;Shuicheng Yan;Tat-Seng Chua

  • Self-Supervised Video Hashing With Hierarchical Binary Auto-Encoder

    Jingkuan Song;Hanwang Zhang;Xiangpeng Li;Lianli Gao

  • Camera Constraint-Free View-Based 3-D Object Retrieval

    Yue Gao;Jinhui Tang;Richang Hong;Shuicheng Yan

  • Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems

    Wenqiang Lei;Xiangnan He;Yisong Miao;Qingyun Wu

  • Inferring semantic concepts from community-contributed images and noisy tags

    Jinhui Tang;Shuicheng Yan;Richang Hong;Guo-Jun Qi

  • Attentive Group Recommendation

    Da Cao;Xiangnan He;Lianhai Miao;Yahui An

  • Spectral-Spatial Constraint Hyperspectral Image Classification

    Rongrong Ji;Yue Gao;Richang Hong;Qiong Liu

Frequent Co-Authors

Meng Wang
Meng Wang Hefei University of Technology
Tat-Seng Chua
Tat-Seng Chua National University of Singapore
Qi Tian
Qi Tian Huawei Technologies (China)
Shuicheng Yan
Shuicheng Yan National University of Singapore
Yong Ge
Yong Ge University of Arizona
Jinhui Tang
Jinhui Tang Nanjing University of Science and Technology
Liqiang Nie
Liqiang Nie Shandong University
Zheng-Jun Zha
Zheng-Jun Zha University of Science and Technology of China
Xiangnan He
Xiangnan He University of Science and Technology of China
Hanwang Zhang
Hanwang Zhang Nanyang Technological University

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