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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
105
Citations
45049
World Ranking
288
National Ranking
35

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award
  • 2020 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to machine learning, computer vision, and remote sensing

Overview

Wei Liu is a researcher primarily affiliated with Tencent (China) where the focus spans multiple disciplines in computer science and engineering. The researcher's work centers on computer vision and pattern recognition, artificial intelligence, aerospace engineering, biomedical engineering, and computational mechanics, reflecting a broad engagement with both theoretical and applied aspects of these fields.

The main fields of study covered by Wei Liu include:

  • Computer Science
  • Engineering

Within these broader categories, the subfields of study show a concentration in:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Aerospace Engineering
  • Biomedical Engineering
  • Computational Mechanics

Wei Liu's publications address several core topics, including:

  • Advanced Image and Video Retrieval Techniques
  • Multimodal Machine Learning Applications
  • Topic Modeling
  • Advanced Neural Network Applications
  • Advanced Image Processing Techniques
  • Domain Adaptation and Few-Shot Learning
  • Human Pose and Action Recognition

The frequent publication venues where Wei Liu's research has appeared include:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Applied Sciences

Selected recent papers reflect diverse research contributions in computer vision and machine learning. These include:

  • Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation, 2021, IEEE Transactions on Cybernetics
  • Beyond Brightening Low-light Images, 2021, International Journal of Computer Vision
  • Multiple object tracking: A literature review, 2020, Artificial Intelligence
  • CrossFormer++: A Versatile Vision Transformer Hinging on Cross-Scale Attention, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Semantic Conditioned Dynamic Modulation for Temporal Sentence Grounding in Videos, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence

Frequent co-authors include:

  • Zhifeng Li
  • Wenhan Luo
  • Kaihao Zhang
  • Hongfa Wang
  • Tianming Liu

Wei Liu was recognized as a Fellow of the International Association for Pattern Recognition (IAPR) in 2020 for contributions to machine learning, computer vision, and remote sensing.

Best Publications

  • CosFace: Large Margin Cosine Loss for Deep Face Recognition

    Hao Wang;Yitong Wang;Zheng Zhou;Xing Ji

  • SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning

    Long Chen;Hanwang Zhang;Jun Xiao;Liqiang Nie

  • Supervised hashing with kernels

    Wei Liu;Jun Wang;Rongrong Ji;Yu-Gang Jiang

  • Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images

    Nanyang Wang;Yinda Zhang;Zhuwen Li;Yanwei Fu

  • Supervised Discrete Hashing

    Fumin Shen;Chunhua Shen;Wei Liu;Heng Tao Shen

  • Hashing with Graphs

    Wei Liu;Jun Wang;Sanjiv Kumar;Shih-fu Chang

  • Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm

    Canyi Lu;Jiashi Feng;Yudong Chen;Wei Liu

  • Multiple object tracking: A literature review

    Wenhan Luo;Wenhan Luo;Junliang Xing;Anton Milan;Xiaoqin Zhang

  • Gated Fusion Network for Single Image Dehazing

    Wenqi Ren;Lin Ma;Jiawei Zhang;Jinshan Pan

  • Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention

    Jingyuan Chen;Hanwang Zhang;Xiangnan He;Liqiang Nie

  • Beyond Brightening Low-light Images

    Yonghua Zhang;Xiaojie Guo;Jiayi Ma;Wei Liu

  • Large Graph Construction for Scalable Semi-Supervised Learning

    Wei Liu;Junfeng He;Shih-fu Chang

  • Learning to Hash for Indexing Big Data—A Survey

    Jun Wang;Wei Liu;Sanjiv Kumar;Shih-Fu Chang

  • Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization

    Canyi Lu;Jiashi Feng;Yudong Chen;Wei Liu

  • Bi-Real Net: Enhancing the Performance of 1-Bit CNNs with Improved Representational Capability and Advanced Training Algorithm

    Zechun Liu;Baoyuan Wu;Wenhan Luo;Xin Yang

  • Learning to Compose Dynamic Tree Structures for Visual Contexts

    Kaihua Tang;Hanwang Zhang;Baoyuan Wu;Wenhan Luo

  • Discrete Graph Hashing

    Wei Liu;Cun Mu;Sanjiv Kumar;Shih-Fu Chang

  • Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval

    Chao Li;Cheng Deng;Ning Li;Wei Liu

  • Generalizing Face Forgery Detection with High-frequency Features

    Yuchen Luo;Yong Zhang;Junchi Yan;Wei Liu

  • Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition

    Yinpeng Dong;Hang Su;Baoyuan Wu;Zhifeng Li

  • Learning Distance Metrics with Contextual Constraints for Image Retrieval

    S.C.H. Hoi;Wei Liu;M.R. Lyu;Wei-Ying Ma

Frequent Co-Authors

Zhidong Zhang
Zhidong Zhang Chinese Academy of Sciences
Dacheng Tao
Dacheng Tao Nanyang Technological University
Shih-Fu Chang
Shih-Fu Chang Columbia University
Tong Zhang
Tong Zhang University of Illinois at Urbana-Champaign
Cheng Deng
Cheng Deng Xidian University
Yu-Gang Jiang
Yu-Gang Jiang Fudan University
Rongrong Ji
Rongrong Ji Xiamen University
Zhifeng Li
Zhifeng Li Tencent (China)
Jiebo Luo
Jiebo Luo University of Rochester
Xiaoou Tang
Xiaoou Tang Chinese University of Hong Kong

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