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Jinxing Li

Associate Professor, Doctoral Supervisor

Harbin Institute of Technology, Shenzhen, China

Education/Experience

Associate Professor

Computer Science, Harbin Institute of Technology, Shenzhen
2021.04 - Present

Postdoc

Science and Engineering, The Chinese University of Hong Kong, Shenzhen
2019.05 - 2021.02

TA

Science and Engineering, The Chinese University of Hong Kong, Shenzhen
2019.03 - 2019.05

PhD

Computer Science, The Hong Kong Polytechnic University, Hong Kong
2015.07 - 2019.03

MSc

Automation, Chongqing University, Chongqing
2012.09 - 2015.06

BSc

Automation, Hangzhou Dianzi University, Hangzhou
2009.07 - 2012.06

BSc

Science, Hangzhou Dianzi University, Hangzhou
2008.09 - 2009.06

About Me

Jinxing Li is a Professor with the Harbin Institute of Technology, Shenzhen, China.

【Google Scholar】 【Homepage in Chinese】

Focusing on key research areas such as pattern recognition and image processing, he proposes a series of new theories, models, and method. And he has published a total of 45 papers in Q1 journals of the Chinese Academy of Sciences and CCF A conferences (37 as first or corresponding author: 23 in Zone 1 journals and 14 in CCF A conferences), including 8 in TIP, 7 in TNNLS, 4 in TCYB, 4 in TCSVT, 1 in TII, 1 in TSMC , 5 in Information Fusion, 1 in CVPR, 1 in NeurIPS, 4 in ACM MM, 2 in AAAI. And 1 English monograph has been published. In addition, he has led 17 scientific research projects, including a General Program of the National Natural Science Foundation of China.

【Research Interests】

Pattern Recognition; Machine Learning; Deep Learning; Feature Fusion; Hash Learning

Education/Experience

Associate Professor

2021.04 - Present
Computer Science, Harbin Institute of Technology, Shenzhen

Postdoc

2019.05 - 2021.02
Science and Engineering, The Chinese University of Hong Kong, Shenzhen

TA

2019.03 - 2019.05
Science and Engineering, The Chinese University of Hong Kong, Shenzhen

PhD

2015.07 - 2019.03
Computer Science, The Hong Kong Polytechnic University, Hong Kong

MSc

2012.09 - 2015.06
Automation, Chongqing University, Chongqing

BSc

2009.07 - 2012.06
Automation, Hangzhou Dianzi University, Hangzhou

BSc

2008.09 - 2009.06
Science, Hangzhou Dianzi University, Hangzhou

Projects

18 projects were led, including both government-funded (vertical) and industry-funded (horizontal) projects.

Principle Investigator

2023
National Nature Science Foundation of China

Intelligent Perceptron and Continuous Learning for Human Health Detection based on Multi-modal Body-surface Information

Principle Investigator

2020
National Nature Science Foundation of China

High-dimensional and Small-sample-size Multi-modal Classification via Gaussian Process Latent Variable Model

Principle Investigator

China Postdoctoral Science Foundation

The Study on Non-invasive Multi-Source Body-Surface Information Fusion

Principle Investigator

2020
Shenzhen Colleges and Universities Stable Support Program

The Study on Person Re-Identification for 24 Hours

Principle Investigator

China Postdoctoral Science Foundation

Three Positions and Nine Indicators based Multi-channel Fusion for Pulse Signal Diagnosis

Principle Investigator

2020
TaiShen Innovation (Shenzhen) Technology Investment Co., Ltd.

The Study on Intelligent Wall-Climbing Inspection Robots for Open-Scene Applications

Principle Investigator

2020
Shenzhen Institute of Artificial Intelligence and Robotics for Society

The Study on Semi-supervised Cross-modal Person Re-ID

Honors & Rewarding

Overseas High-Caliber Personnel - (2019-2024)
Shenlong High-level Talent - (2019-2024)
Guangdong Postdoctoral Talent Introduction Program
Hong Kong Government Scholarship for PhD Student - (2015-2018)
Excellent post-graduates, Chongqing University - 2015
Yangtze Power Scholarship - 2014

Teaching

Computer Organization - (2018.05-present)
Artificial Intelligence - (2018.03-2018.05)
Legal Aspects, Professionalism and Ethics of Computing - (2018.02-2018.05)
E-commerce Fundamentals and Development - (2017.09-2018.01)
Information Systems Development - (2016.09-2017.01)
Information Security: Technologies and Development - (2016.02-2016.05)
Software Testing and Quality Assurance - (2015.09-2016.01)
Computer Hardware Control Technology - (2013.09-2014.01)

Publications

Book

  • Jinxing Li, Bob Zhang, David Zhang. Information Fusion [M]. Springer-Higher Education Press, 2022.

    • Seleted Journal Papers

  • Jinxing Li, Beicheng Liang. From Global to Local: Multi-Patch and Multi-Scale Contrastive Similarity Learning for Unsupervised Defocus Blur Detection [J]. IEEE Transactions on Image Processing, 2023. (JCR Q1)
  • Jinxing Li, Chuhao Zhou, etc. Multi-view Instance Attention Fusion Network for Classification [J]. Information Fusion, 2023. (JCR Q1)
  • Jinxing Li, Shuhang Gu, Guangming Lu, Yong Xu, David Zhang. Layer-Output Guided Complementary Attention Learning for Image Defocus Blur Detection [J]. IEEE Transactions on Image Processing, 2021. (JCR Q1)
  • Jinxing Li, Bob Zhang, Guangming Lu, Yong Xu, Feng Wu, David Zhang. Harmonization Shared Auto-Encoder Gaussian Process Latent Variable Model with Relaxed Hamming Distance [J]. IEEE Transactions on Neural Networks and Learning Systems, 2020. (JCR Q1)
  • Jinxing Li, Xiaobao Guo, Guangming Lu, et al. DRPL: Deep Regression Pair Learning for Multi-Focus Image Fusion [J]. IEEE Transactions on Image Processing, 2020. (JCR Q1)
  • Jinxing Li, Bob Zhang, Guangming Lu, Jane You, Yong Xu, Feng Wu, David Zhang. Relaxed Asymmetric Deep Hashing Learning: Point-to-Angle Matching [J]. IEEE Transactions on Neural Networks and Learning Systems, 2019. (JCR Q1)
  • Jinxing Li, Guangming Lu, et al. Shared Linear Encoder Based Multi-Kernel Gaussian Process Latent Variable Model for Visual Classification [J]. IEEE Transactions on Cybernetics, 2019. (JCR Q1)
  • Jinxing Li, Bob Zhang, Guangming Lu, and David Zhang. Visual Classification with Multi-Kernel Shared Gaussian Process Latent Variable Model [J]. IEEE Transactions on Cybernetics, 2018. (JCR Q1)
  • Jinxing Li, Bob Zhang, and David Zhang. Shared Auto-encoder Gaussian Process Latent Variable Model for Visual Classification [J]. IEEE Transactions on Neural Networks and Learning Systems, 2017. (JCR Q1)
  • Jinxing Li, Guangming Lu, Yong Xu, Bob Zhang, and David Zhang. Asymmetric Gaussian Process Multi-view Learning for Visual Classification [J]. Information Fusion, 2020. (JCR Q1)
  • Jinxing Li, Bob Zhang, Guangming Lu, and David Zhang. Generative Multi-view and Multi-feature Learning for Classification [J]. Information Fusion, 2018. (JCR Q1)
  • Mu Li, Youneng Bao, Xiaohang Sui, Jinxing Li (Corresponding Author), et al. Learning Content-Weighted Pseudocylindrical Representation for 360 Image Compression [J]. IEEE Transactions on Image Processing, 2024. (JCR Q1)
  • Chuhao Zhou, Yuzhe Zhou, Tingting Ren, Huafeng Li, Jinxing Li (Corresponding Author), Guangming Lu. Hierarchical disturbance and Group Inference for video-based visible-infrared person re-identification [J]. Information Fusion, 2024. (JCR Q1)
  • Yijing Dai, Yingjian Li, Dongpeng Chen, Jinxing Li (Corresponding Author), Guangming Lu. Multimodal Decoupled Distillation Graph Neural Network for Emotion Recognition in Conversation [J]. IEEE Transactions on Circuits and Systems for Video Technology, 2024. (JCR Q1)
  • Yu Gao, Xutao Zheng, Jinxing Li (Corresponding Author), et al. Disentanglement Learning With Adaptive Centroid Alignment for Multiple Target Domains Fault Diagnosis [J]. IEEE Transactions on Industrial Informatics, 2024. (JCR Q1)
  • Huafeng Li, Ming Yuan, Jinxing Li (Corresponding Author), et al. Focus Affinity Perception and Super-Resolution Embedding for Multifocus Image Fusion [J]. IEEE Transactions on Neural Networks and Learning Systems, 2024. (JCR Q1)
  • Shuang Li, Fan Li, Jinxing Li* (Correspoonding Author), etc. Logical Relation Inference and Multiview Information Interaction for Domain Adaptation Person Re-Identification [J]. IEEE Transactions on Neural Networks and Learning Systems, 2023. (JCR Q1)
  • Jiayu Xu, Ailiang Lin, Jinxing Li (Corresponding Author), Guangming Lu. Text Position-Aware Pixel Aggregation Network with Adaptive Gaussian Threshold: Detecting Text in the Wild [J]. IEEE Transactions on Circuits and Systems for Video Technology, 2023. (JCR Q1)
  • Huafeng Li, Junzhi Zhao, Jinxing Li (Corresponding Author), etc. Feature dynamic alignment and refinement for infrared-visible image fusion: Translation robust fusion [J]. Information Fusion, 2023. (JCR Q1)
  • Mu Li, Kai Zhang, Jinxing Li (Corresponding Author), et al. Learning Context-based Nonlocal Entropy Modeling for Image Compression [J]. IEEE Transactions on Neural Networks and Learning Systems, 2021. (JCR Q1, IF: 8.793)
  • Mu Li, Jinxing Li (Corresponding Author), et al. End-to-end optimized 360 Image Compression. IEEE Transactions on Image Processing, 2022. (JCR Q1)
  • Qing Cai, Jinxing Li (Corresponding Author), et al. TDPN: Texture and Detail-Preserving Network for Single Image Super-Resolution [J]. IEEE Transactions on Image Processing, 2022. (JCR Q1)
  • Qing Cai, Yiming Qian, Sanping Zhou, Jinxing Li (Corresponding Author), et al. AVLSM: Adaptive Variational Level Set Model for Image Segmentation in the Presence of Severe Intensity Inhomogeneity and High Noise [J]. IEEE Transactions on Image Processing, 2021. (JCR Q1)
  • Mengzhao Wang, Huafeng Li, Yafei Zhang, Jinxing Li (Corresponding Author), et al. Dual-task Mutual Reinforcing Embedded Joint Video Paragraph Retrieval and Grounding [J]. IEEE Transactions on Multimedia, 2024. (JCR Q1)
  • Yu Gao, Zhanpei Zhang, Bingquan Chen, Jinxing Li (Corresponding Author), et al. Time-and Frequency-domain Fusion for Source-free Adaptation Fault Diagnosis [J]. Information Fusion, 2025. (JCR Q1)
  • Dongming Li, Yingjian Li, Xiao Ma, Jinxing Li (Corresponding Author), Guangming Lu. Triple-stream Siamese Segmentation Network for Printed Label Defect Detection [J]. IEEE Transactions on Instrumentation and Measurement, 2024. (JCR Q1)

    • Seleted Conference Papers

  • Rui Li, Tingting Ren, Jie Wen, Jinxing Li (Corresponding Author). Optimal Transport-based Labor-free Text Prompt Modeling for Sketch Re-identification [C]. NeurIPS, 2024. (CCF A)
  • Rui Li, Yishu Liu, Huafeng Li, Jinxing Li, Guangming Lu. Prototype-Guided Dual-Transformer Reasoning for Video Individual Counting [C]. ACM Multimedia, 2024. (CCF A)
  • Chuhao Zhou, Jinxing Li (Corresponding Author), etc. Video-based Visible-Infrared Person Re-Identification via Style Disturbance Defense and Dual Interaction [C]. ACM Multimedia, 2023. (CCF A)
  • Xinyu Lin, Jinxing Li (Corresponding Author), et al. Learning Modal-Invariant and Temporal-Memory for Video-based Visible-Infrared Person Re-Identification [C]. CVPR, 2022. (CCF A)
  • Jinxing Li, Hongwei Yong, Feng Wu, and Mu Li. Online Multi-view Subspace Learning with Mixed Noise [C]. ACM Multimedia, 2020. (CCF A)
  • Jinxing Li, Bob Zhang, Guangming Lu, and David Zhang. Shared Linear Encoder-based Gaussian Process Latent Variable Model for Visual Classification [C]. ACM Multimedia, 2018. (CCF A)
  • Jinxing Li, Hongwei Yong, Bob Zhang, Mu Li, Lei Zhang, and David Zhang. A Probabilistic Hierarchical Model for Multi-view and Multi-feature Classification [C]. AAAI, 2018. (CCF A, Oral)