李锦兴 - 哈尔滨工业大学（深圳） - 计算机科学与技术学院

个人简介

哈尔滨工业大学（深圳）计算机科学与技术学院副教授（哈尔滨工业大学“青年拔尖计划”），2019毕业于香港理工大学。目前已在模式识别、图像处理等领域发表40余篇文章，以第一或通讯作者发表IEEE TIP×6 (中科院一区, CCF A)、IEEE TNNLS×5 (中科院一区)、IEEE TCYB×2 (中科院一区)、TCSVT×1 (中科院一区)、InF.Fus×4 (中科院一区)、CVPR×1 (CCF A)、ACM MM×3 (CCF A)、AAAI×1 (CCF A)等多篇国际著名期刊和会议论文。科研项目 2023-2026 国自然面上基金主持 2020-2022 国自然青年基金主持 2021-2023 深圳市高端人才科研启动项目主持 2021-2023 深圳优秀科技创新人才培养项目主持 2019-2021 博士后站前特资助主持 2019-2021 博士后面上资助主持 2022-2024 深圳高校稳定支持主持 2023-2024 河钢集团揭榜挂帅主持 2023-2024 河钢数字主持 2023-2024 光力科技主持 2022-2023 航天科工深圳主持

研究领域

模式识别、计算机视觉、机器学习、深度学习、多模态融合、模糊检测、哈希学习、图像压缩 1. 行人重识别（Person Re-Identification）：可见光-红外跨模态行人重识别、无监督跨域行人重识别 2. 多模态融合：可见光-红外图像融合、多聚焦图像融合、基于无人机的多模态融合 3. 情感识别：多模态情感识别、基于对话的情感识别 4. 深度哈希学习：无监督跨域深度哈希学习 5. 图像复原/处理：自然图像/全景图像超分辨、去摩尔纹、模糊检测 6. 故障诊断：智能故障诊断、智能故障预测

近期论文

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Selected Journal Papers Jinxing Li, Beicheng Liang, et al. From Global to Local: Multi-Patch and Multi-Scale Contrastive Similarity Learning for Unsupervised Defocus Blur Detection [J]. IEEE Transactions on Image Processing, 2023. (中科院一区，CCF A) Jinxing Li, et al. Layer-Output Guided Complementary Attention Learning for Image Defocus Blur Detection [J]. IEEE Transactions on Image Processing, 2021. (中科院一区，CCF A) Mu Li, Jinxing Li* (通讯作者), et al. End-to-end Optimized 360 Image Compression. IEEE Transactions on Image Processing, 2022. (中科院一区，CCF A) 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. (中科院一区，CCF A) Qing Cai, Jinxing Li* (共同通讯作者), David Zhang*, et al. TDPN: Texture and Detail-Preserving Network for Single Image Super-Resolution [J]. IEEE Transactions on Image Processing, 2022. (中科院一区，CCF A) Qing Cai, Yiming Qian, Sanping Zhou, Jinxing Li*(共同通讯作者), David Zhang*. 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. (中科院一区，CCF A) Jinxing Li, Chuhao Zhou, et al. Multi-view Instance Attention Fusion Network for Classification [J]. Information Fusion, 2023. (中科院一区) Shuang Li, Fan Li, Jinxing Li* (共同通讯作者), et al. Logical Relation Inference and Multi-view Information Interaction for Domain Adaptation Person Re-identification [J]. IEEE Transactions on Neural Networks and Learning Systems, 2023. (中科院一区) Jiayu Xu, Ailiang Lin, Jinxing Li* (通讯作者), 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. (中科院一区) Mu Li, Kai Zhang, Jinxing Li*, et al. Learning Context-based Nonlocal Entropy Modeling for Image Compression [J]. IEEE Transactions on Neural Networks and Learning Systems, 2021. (中科院一区) 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. (中科院一区) 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. (中科院一区) 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. (中科院一区) 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. (中科院一区) Huafeng Li, Junzhi Zhao, Jinxing Li* (通讯作者), Zhengtao Yua, Guangming Lu. Feature Dynamic Alignment and Refinement for Infrared-Visible Image Fusion: Translation Robust Fusion [J]. Information Fusion, 2023. (中科院一区) Jinxing Li, Guangming Lu, Yong Xu, Bob Zhang, and David Zhang. Asymmetric Gaussian Process Multi-view Learning for Visual Classification [J]. Information Fusion, 2020. (中科院一区) Jinxing Li, Bob Zhang, Guangming Lu, and David Zhang. Generative Multi-view and Multi-feature Learning for Classification [J]. Information Fusion, 2018. (中科院一区) Selected Conference Papers Chuhao Zhou, Jinxing Li* (通讯作者), et al. Video-based Visible-Infrared Person Re-Identification via Style Turbulence Defense and Dual Interaction [C]. ACM Multimedia, 2023. (CCF A) Xinyu Lin, Jinxing Li* (通讯作者), 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)