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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
97
Citations
33462
World Ranking
427
National Ranking
54

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

Overview

Liang Lin is affiliated with Sun Yat-sen University in China and specializes in computer science, with a focus on subfields such as computer vision and pattern recognition, artificial intelligence, media technology, electrical and electronic engineering, and immunology.

The primary research topics associated with Liang Lin include:

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

The scientist has published extensively, contributing notably to venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Neural Networks and Learning Systems

Recent publications by Liang Lin include:

  • Cross-Modal Causal Relational Reasoning for Event-Level Visual Question Answering, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Physical-Virtual Collaboration Modeling for Intra- and Inter-Station Metro Ridership Prediction, 2020, IEEE Transactions on Intelligent Transportation Systems
  • Dynamic Spatial-Temporal Representation Learning for Traffic Flow Prediction, 2020, IEEE Transactions on Intelligent Transportation Systems
  • Injecting Semantic Concepts into End-to-End Image Captioning, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Tree-Structured Policy Based Progressive Reinforcement Learning for Temporally Language Grounding in Video, 2020, Proceedings of the AAAI Conference on Artificial Intelligence

Frequent coauthors collaborating with Liang Lin include:

  • Guanbin Li
  • Xiaodan Liang
  • Tianshui Chen
  • Yukai Shi
  • Pengxu Wei

Best Publications

  • NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results

    Radu Timofte;Eirikur Agustsson;Luc Van Gool;Ming-Hsuan Yang

  • Joint Detection and Identification Feature Learning for Person Search

    Tong Xiao;Shuang Li;Bochao Wang;Liang Lin

  • Is Faster R-CNN Doing Well for Pedestrian Detection?

    Liliang Zhang;Liang Lin;Xiaodan Liang;Kaiming He

  • Multi-level Wavelet-CNN for Image Restoration

    Pengju Liu;Hongzhi Zhang;Kai Zhang;Liang Lin

  • Deep feature learning with relative distance comparison for person re-identification

    Shengyong Ding;Liang Lin;Guangrun Wang;Hongyang Chao

  • Cost-Effective Active Learning for Deep Image Classification

    Keze Wang;Dongyu Zhang;Ya Li;Ruimao Zhang

  • SNAS: stochastic neural architecture search

    Sirui Xie;Hehui Zheng;Chunxiao Liu;Liang Lin

  • Unsupervised Image Super-Resolution Using Cycle-in-Cycle Generative Adversarial Networks

    Yuan Yuan;Siyuan Liu;Jiawei Zhang;Yongbing Zhang

  • Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning

    Xiaopeng Yan;Ziliang Chen;Anni Xu;Xiaoxi Wang

  • Bit-Scalable Deep Hashing With Regularized Similarity Learning for Image Retrieval and Person Re-Identification

    Ruimao Zhang;Liang Lin;Rui Zhang;Wangmeng Zuo

  • Look into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing

    Ke Gong;Xiaodan Liang;Dongyu Zhang;Xiaohui Shen

  • Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation

    Ruijia Xu;Guanbin Li;Jihan Yang;Liang Lin

  • Joint Learning of Single-Image and Cross-Image Representations for Person Re-identification

    Faqiang Wang;Wangmeng Zuo;Liang Lin;David Zhang

  • Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift

    Ruijia Xu;Ziliang Chen;Wangmeng Zuo;Junjie Yan

  • I2T: Image Parsing to Text Description

    Benjamin Z Yao;Xiong Yang;Liang Lin;Mun Wai Lee

  • Knowledge-Embedded Routing Network for Scene Graph Generation

    Tianshui Chen;Weihao Yu;Riquan Chen;Liang Lin

  • Semantic Object Parsing with Graph LSTM

    Xiaodan Liang;Xiaohui Shen;Jiashi Feng;Liang Lin

  • Toward Characteristic-Preserving Image-Based Virtual Try-On Network

    Bochao Wang;Huabin Zheng;Xiaodan Liang;Yimin Chen

  • Look into Person: Joint Body Parsing & Pose Estimation Network and a New Benchmark

    Xiaodan Liang;Ke Gong;Xiaohui Shen;Liang Lin

  • Learning Collaborative Sparse Representation for Grayscale-Thermal Tracking

    Chenglong Li;Hui Cheng;Shiyi Hu;Xiaobai Liu

  • Instance-Level Human Parsing via Part Grouping Network.

    Ke Gong;Xiaodan Liang;Yicheng Li;Yimin Chen

Frequent Co-Authors

Xiaodan Liang
Xiaodan Liang Sun Yat-sen University
Guanbin Li
Guanbin Li Sun Yat-sen University
Wangmeng Zuo
Wangmeng Zuo Harbin Institute of Technology
Shuicheng Yan
Shuicheng Yan National University of Singapore
Ping Luo
Ping Luo University of Hong Kong
Xiaohui Shen
Xiaohui Shen ByteDance
Lei Zhang
Lei Zhang Hong Kong Polytechnic University
Si Liu
Si Liu Beihang University
Yizhou Yu
Yizhou Yu University of Hong Kong
Xiaogang Wang
Xiaogang Wang Chinese University of Hong Kong

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