张磊，教授，博导，“生物感知与多模态智能信息处理”重庆市重点实验室主任，国家高层次青年人才，重庆市杰出青年科学基金获得者（获首批延续），重庆市高层次人才特殊支持计划入选者，重庆市青年专家工作室首席专家，入选斯坦福大学发布的全球前2%科学家"终身科学影响力"、"年度科学影响力"双榜单，入选ScholarGPS前0.5%科学家。
主要研究视觉感知与认知、物理-空间智能、视觉-语言大模型及鲁棒可解释性、机器学习泛化与迁移、世界模型等人工智能基础理论与前沿技术。承担了中组部、人社部人才计划、国家自然科学基金委（含重大研究计划）、科技部国家重点研发计划、重庆市杰出青年科学基金（含延续资助）、国家头部企业等项目课题近30项，发表包括IEEE TPAMI、IJCV、CVPR、ICCV、ECCV、ICML在内的IEEE汇刊、A类会议等论文180余篇，ESI全球前1%高被引论文12篇，出版学术专著1部，谷歌引用1万余次。获吴文俊人工智能自然科学奖、吴文俊人工智能优秀青年奖、重庆市自然科学奖、重庆市十佳科技青年奖、华为公司火花奖（人工智能领域西南地区首个）、华为优秀项目成果奖、AI Agent最佳跨越鸿沟奖、ACM SIGAI新星奖、国内外学术会议最佳/杰出论文奖、IEEE诺伯特·维纳综述奖等。
承担《机器学习》、《图像处理与识别》以及《智能信息处理》等本科生和研究生的理论教学，曾获中国电子学会教学成果一等奖、电子信息类智慧教学案例竞赛全国一等奖、重庆市教学成果二等奖等荣誉，并连续多年获得重庆大学优秀导师奖。已指导硕博研究生50人次，多名博士和硕士获得研究生国家奖学金、重庆市优秀博士学位论文奖、重庆市优秀硕士学位论文奖、重庆大学优秀博士学位论文奖、重庆大学优秀硕士学位论文奖、会议最佳论文奖等奖励和荣誉，多名硕士、博士毕业生分布在国内外知名院校攻读博士研究生、博士后以及任教，部分硕士生在我国头部企业工作。
目前是IEEE高级会员、中国计算机学会（CCF）杰出会员、中国电子学会高级会员，担任IEEE Transactions on Image Processing、IEEE Transactions on Instrumentation and Measurement、Neural Networks、CAAI Transactions on Intelligence and Technology、《电子学报》等多个国内外重要期刊编委（Associate Editor），担任10余个国际学术会议的大会主席（General Chair），并担任CCF-A类会议ACM MM、AAAI、CVPR、ICCV、ECCV、ICML、ICLR、NeurIPS的领域主席（Area Chair）、高级程序委员（Senior Program Committee）、程序委员等。担任IEEE重庆分会副秘书长、中国人工智能学会智能服务专委会常务委员、智能光学成像专委会常务委员、模式识别专委会委员、青年工作委员会委员，中国计算机学会计算机视觉专委会委员、多媒体专委会委员，中国图象图形学会视觉大数据专委会委员、机器视觉专委会委员、图像视频通信专委会委员、青年工作委员会委员、中国视觉与青年学者研讨会（VALSE）资深领域主席。
实验室开源主页：http://www.leizhang.tk（内含详细研究生招生要求、弘深青年教师招聘需求、科研活动、学生风采）
招收博士研究生和硕士研究生方向：欢迎对视觉-语言大模型、世界模型、多模态大模型、2D/3D/4D视觉生成、物理-空间智能、具身智能等人工智能方向感兴趣的同学邮件联系交流。
邮箱：leizhang@cqu.edu.cn
近年部分论文（详见实验室开源主页）：
[1] Xiaowei Fu, Fuxiang Huang, Guoyin Wang, Xinbo Gao, and Lei Zhang*, "M3C: Resist Agnostic Attacks by Mitigating Consistent Class Confusion Prior,"IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.
[2] Fuxiang Huang, Suqi Song, and Lei Zhang*, "Gradient Harmonization in Unsupervised Domain Adaptation,"IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.
[3] Lei Zhang*, Yuhang Zhou, Yi Yang, and Xinbo Gao, "Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks,"IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.
[4] Lei Zhang*, Zhenwei He, Yi Yang, Liang Wang, and Xinbo Gao, "Tasks Integrated Networks: Joint Detection and Retrieval for Image Search,"IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022.
[5] Fuxiang Huang, Xiaowei Fu, Shiyu Ye, Lina Ma, Wen Li, Xinbo Gao, David Zhang, and Lei Zhang*, "Unsupervised Robust Domain Adaptation: Paradigm, Theory and Algorithm,"International Journal of Computer Vision, 2025.
[6] Zhilong Zhang, Lei Zhang*, Qing He, Shuyin Xia, Guoyin Wang, and Fuxiang Huang, "Implicit Non-Causal Factors are Out via Dataset Splitting for Domain Generalization Object Detection,"International Journal of Computer Vision, 2025.
[7] Zhenwei He, Lei Zhang*, Xinbo Gao, and David Zhang, "Multi-adversarial Faster-RCNN with Paradigm Teacher for Unrestricted Object Detection,"International Journal of Computer Vision, 2023.
[8] Lei Zhang*, Xiaowei Fu, Fuxiang Huang, Yi Yang, and Xinbo Gao, "An Open-World, Diverse, Cross-Spatial-Temporal Benchmark for Dynamic Wild Person Re-Identification,"International Journal of Computer Vision, 2024.
[9] Xiaowei Fu, Shiyu Ye, Chenxu Zhang, Fuxiang Huang, Xin Xu and Lei Zhang*, "Token Calibration for Transformer-based Domain Adaptation,"IEEE Transactions on Image Processing, 2026.
[10] Lei Zhang*, Lingyun Qin, Mingjun Xu, Weijie Chen, Shiliang Pu and Wensheng Zhang, "Randomized Spectrum Transformations for Adapting Object Detector in Unseen Domains,"IEEE Transactions on Image Processing, 2023.
[11] Lei Zhang*, Zhipu Liu, Wensheng Zhang and David Zhang, "Style Uncertainty Based Self-Paced Meta Learning for Generalizable Person Re-Identification,"IEEE Transactions on Image Processing, 2023.
[12] Shanshan Wang, Lei Zhang*, Wangmeng Zuo, and Bob Zhang, "Class-specific Reconstruction Transfer Learning for Visual Recognition Across Domains,"IEEE Transactions on Image Processing, 2019.
[13] Lei Zhang*, Ji Liu, Fuxiang Huang, Yang Yang, and David Zhang, "Deep-Like Hashing-in-Hash for Visual Retrieval: An Embarrassingly Simple Method,"IEEE Transactions on Image Processing, 2020.
[14] Lei Zhang*, Ji Liu, Bob Zhang, David Zhang, and Ce Zhu, "Deep Cascade Model based Face Recognition: When Deep-layered Learning Meets Small Data,"IEEE Transactions on Image Processing, 2019.
[15] Lei Zhang*, Wangmeng Zuo, and David Zhang, "LSDT: Latent Sparse Domain Transfer Learning for Visual Adaptation,"IEEE Transactions on Image Processing, 2016.
[16] Lei Zhang* and David Zhang, "Robust Visual Knowledge Transfer via Extreme Learning Machine based Domain Adaptation,"IEEE Transactions on Image Processing, 2016.
[17] Xiao Liu, Chenxu Zhang, Fuxiang Huang, Shuyin Xia, Guoyin Wang and Lei Zhang*, "Vision Mamba: A Comprehensive Survey and Taxonomy,"IEEE Transactions on Neural Networks and Learning Systems, 2025.
[18] Lei Zhang* and Xinbo Gao, "Transfer Adaptation Learning: A Decade Survey,"IEEE Transactions on Neural Networks and Learning Systems, 2024.
[19] Qingyan Duan and Lei Zhang*, "Look More Into Occlusion: Realistic Face Frontalization and Recognition with BoostGAN,"IEEE Transactions on Neural Networks and Learning Systems,2021.
[20] Fuxiang Huang, Lei Zhang*, and Xinbo Gao, "Domain Adaptation Preconceived Hashing for Unconstrained Visual Retrieval,"IEEE Transactions on Neural Networks and Learning Systems, 2022.
[21] Jingke Huang, Ni Xiao, and Lei Zhang*, "Balancing Transferability and Discriminability for Unsupervised Domain Adaptation,"IEEE Transactions on Neural Networks and Learning Systems, 2024.
[22] Lei Zhang*, Jingru Fu, Shanshan Wang, David Zhang, ZhaoYang Dong, and C.L. Philip Chen, "Guide Subspace Learning for Unsupervised Domain Adaptation,"IEEE Transactions on Neural Networks and Learning Systems, 2020.
[23] Lei Zhang*, Shanshan Wang, Guang-Bin Huang, Wangmeng Zuo, Jian Yang, and David Zhang, "Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation,"IEEE Transactions on Neural Networks and Learning Systems, 2019.
[24] Lei Zhang* and David Zhang, "Evolutionary Cost-sensitive Extreme Learning Machine,"IEEE Transactions on Neural Networks and Learning Systems, 2017.
[25] Fuxiang Huang, Lei Zhang*, Yuhang Zhou and Xinbo Gao, "Adversarial and Isotropic Gradient Augmentation for Image Retrieval with Text Feedback,"IEEE Transactions on Multimedia, 2022.
[26] Lina Ma, Xiaowei Fu, Fuxiang Huang, Xinbo Gao, and Lei Zhang*, "Rectifying Adversarial Sample with Low Entropy Prior for Test-Time Defense,"IEEE Transactions on Multimedia, 2025.
[27] Wenli Song, Lei Zhang*, and Xinbo Gao, "Compound Projection Learning for Bridging Seen and Unseen Objects,"IEEE Transactions on Multimedia, 2022.
[28] Lei Zhang* and David Zhang, "Visual Understanding via Multi-Feature Shared Learning with Global Consistency,"IEEE Transactions on Multimedia, 2016.
[29] Lei Zhang*, Xuehan Wang, Guang-bin Huang, Tao Liu, and Xiaoheng Tan, "Taste Recognition in E-Tongue using Local Discriminant Preservation Projection,"IEEE Transactions on Cybernetics, 2019.
[30] Lei Zhang*, Qingyan Duan, David Zhang, Wei Jia, Xizhao Wang, "AdvKin: Adversarial Convolutional Network for Kinship Verification,"IEEE Transactions on Cybernetics, 2021.
[31] Zhipu Liu and Lei Zhang*, "Multi-model Synergy Perception for Open-world Person Re-identification,"IEEE Transactions on Circuits and Systems for Video Technology, 2025.
[32] Xiaowei Fu, Lina Ma, and Lei Zhang*, "Remove To Regenerate: Boosting Adversarial Generalization with Attack Invariance,"IEEE Transactions on Circuits and Systems for Video Technology, 2025.
[33] Yuhang Zhou, Fuxiang Huang, Weijie Chen, Shiliang Pu, Lei Zhang*, "Stochastic Gradient Perturbation: An Implicit Regularizer for Person Re-Identification,"IEEE Transactions on Circuits and Systems for Video Technology, 2023.
[34] Zhipu Liu, Lei Zhang*, and David Zhang, "Neural Image Parts Group Search for Person Re-identification,"IEEE Transactions on Circuits and Systems for Video Technology, 2023.
[35] Qinghai Lang, Lei Zhang*, Wenxu Shi, Weijie Chen, and Shiliang Pu, "Exploring Implicit Domain-invariant Features for Domain Adaptive Object Detection,"IEEE Transactions on Circuits and Systems for Video Technology, 2023.
[36] Zhenwei He, Lei Zhang*, Yi Yang, and Xinbo Gao, "Partial Alignment for Object Detection in the Wild,"IEEE Transactions on Circuits and Systems for Video Technology, 2022.
[37] Qingyan Duan, Lei Zhang*, and Xinbo Gao, "Simultaneous Face Completion and Frontalization via Mask Guided Two-Stage GAN,"IEEE Transactions on Circuits and Systems for Video Technology, 2022.
[38] Xiaowei Fu, Fuxiang Huang, Yuhang Zhou, Huimin Ma, Xin Xu, and Lei Zhang*, "Cross-Modal Cross-Domain Dual Alignment Network for RGB-Infrared Person Re-Identification,"IEEE Transactions on Circuits and Systems for Video Technology, 2022.
[39] Lei Zhang*, Fangyi Liu, and David Zhang, "Adversarial View Confusion Feature Learning for Person Re-identification,"IEEE Transactions on Circuits and Systems for Video Technology, 2021.
[40] Fushuo Huo, Xuegui Zhu, Lei Zhang, Qifeng Liu, Yu Shu, "Efficient Context-Guided Stacked Refinement Network for RGB-T Salient Object Detection,"IEEE Transactions on Circuits and Systems for Video Technology, 2022.
[41] Tan Guo, Yukun Yang, Fuling Luo, Chuan Fu, and Lei Zhang, "D3Former: Dual-Decoder Dual-Transformer Reconstruction Network for Hyperspectral Anomaly Detection,"IEEE Transactions on Geoscience and Remote Sensing, 2025.
[42] Tan Guo, Baojiang Zhou, Fulin Luo and Lei Zhang, "Infrared Small Target Detection via Diverse Features Harmonization,"IEEE Transactions on Geoscience and Remote Sensing, 2025.
[43] Tan Guo, Baojiang Zhou, Fulin Luo, Lei Zhang and Xinbo Gao, "DMFNet: Dual-encoder Multi-stage Feature Fusion Network for Infrared Small Target Detection,"IEEE Transactions on Geoscience and Remote Sensing, 2024.
[44] Tan Guo, Long He, Fulin Luo, Xiuwen Gong, Lei Zhang and Xinbo Gao, "Learnable Background Endmember with Subspace Representation for Hyperspectral Anomaly Detection,"IEEE Transactions on Geoscience and Remote Sensing, 2023.
[45] Tan Guo, Ruizhi Wang, Fulin Luo, Xiuwen Gong, Lei Zhang, and Xinbo Gao, "Dual-View Spectral and Global Spatial Feature Fusion Network for Hyperspectral Image Classification,"IEEE Transactions on Geoscience and Remote Sensing, 2023.
[46] Tan Guo, Long He, Fulin Luo, Xiuwen Gong, Yuanyuan Li and Lei Zhang, "Anomaly Detection of Hyperspectral Image with Hierarchical Anti-noise Mutual-Incoherence-induced Low-Rank Representation,"IEEE Transactions on Geoscience and Remote Sensing, 2023.
[47] Tan Guo, Ying Gao, Fulin Luo, Lei Zhang, Bo Du and Xinbo Gao, "DENet: Direction and Edge Co-Awareness Network for Road Extraction from High-Resolution Remote Sensing Imagery,"IEEE Transactions on Intelligent Transportation Systems, 2025.
[48] Lei Zhang* and David Zhang, "Domain Adaptation Extreme Learning Machines for Drift Compensation in E-nose Systems,"IEEE Transactions on Instrumentation and Measurement, 2015.
[49] Lei Zhang*, Yan Liu and Pingling Deng, "Odor Recognition in Multiple E-nose Systems with Cross-domain Discriminative Subspace Learning,"IEEE Transactions on Instrumentation and Measurement, 2017
[50] Lei Zhang* and David Zhang, "Efficient Solutions for Discreteness, Drift, and Disturbance (3D) in Electronic Olfaction,"IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018.
