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个人简介

张军平,复旦大学计算机科学技术学院教授,博士生导师,中国自动化学会混合智能专委会副主任。主要研究方向包括人工智能、机器学习、图像处理、生物认证、智能交通及气象预测。至今发表论文 100 余篇,其中 IEEE Transactions 系列 26 篇,包括 IEEE TPAMI(3), TNNLS, ToC, TITS, TAC, TIP 等。学术谷歌引用近 5000 次,H 指数 33。

研究领域

机器学习,生物认证,智能交通,图像处理

近期论文

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Journals Chenghui Wang, Yiming Lei, Tao Chen, Junping Zhang, Yangyang Li, Hongming Shan. "HOPE: Hybrid-granularity Ordinal Prototype Learning for Progression Prediction of Mild Cognitive Impairment" IEEE Journal of Biomedical and Health Informatics, 2024. Li Zilong, Gao Qi, Yaping Wu, Chuang Niu, Junping Zhang, Meiyun Wang, Ge Wang, Hongming Shan. "Quad-Net: Quad-domain network for CT metal artifact reduction." IEEE transactions on medical imaging, 2024. Qi Gao, Zilong Li, Junping Zhang, Yi Zhang, Hongming Shan. "CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization." IEEE Transactions on Medical Imaging 2024. Yiming Lei, Jinqi Li, Zilong Li, Yuan Cao, Hongming Shan. "Prompt Learning in Computer Vision: A Survey." Frontiers of Information Technology & Electronic Engineering, 2024. Yin Zhu, Qiuqiang Kong, Junjie Shi, Shilei Liu, Xuzhou Ye, Ju-Chiang Wang, Hongming Shan, Junping Zhang. "End-to-End Paired Ambisonic-Binaural Audio Rendering." IEEE/CAA Journal of Automatica Sinica, 2024. Yiming Lei, Chuang Niu, Junping Zhang, Ge Wang, Hongming Shan. "CT Image Denoising and Deblurring with Deep Learning: Current Status and Perspectives." IEEE Transactions on Radiation and Plasma Medical Sciences, 2023. Jiaqi Gao, Zhizhong Huang, Yiming Lei, Hongming Shan, James Z. Wang, FeiYue Wang, Junping Zhang. "Deep Rank-Consistent Pyramid Model for Enhanced Crowd Counting." IEEE Transactions on Neural Networks and Learning Systems, 2023. Chenhui Wang, Sirong Piao, Zhizhong Huang, Qi Gao, Junping Zhang, Yuxin Li, Hongming Shan. "Joint Learning Framework of Cross-modal Synthesis and Diagnosis for Alzheimers Disease by Mining Underlying Shared Modality Information." Medical Image Analysis, 2023. Yin Zhu, Qiuqiang Long, Junjie Shi, Shilei Liu, Xuzhou Ye, Ju-Chiang Wang, Hongmingl Shan, Junping Zhang. "End-to-end Paired Ambisonic-Binaural Audio Rendering." IEEE/CAA Journal of Automatica Sinica 2023. Zhibo Wang, Jiayu Guo, Haiqiang Zhang, Ru Wan, Junping Zhang, Jian Pu. "Bridging the Gap: Improving Domain Generalization in Trajectory Prediction." IEEE Transactions on Intelligent Vehicles 2023. Junping Zhang, Jian Pu, Jie Chen, Haolin Fu, Yongzhi Tao, Shihmin Wang, Qi Chen, Yunfeng Xiao, Siming Chen, Yuan Cheng, Hongming Shan, Dewang Chen, Fei-Yue Wang. "DSiV: Data Science for Intelligent Vehicles." IEEE Transactions on Intelligent Vehicles 2023. Junping Zhang, Jian Pu, Jianru Xue, Ming Yang, Xin Xu, Xiao Wang, Fei-Yue Wang. "HiVeGPT: human-machine-augmented intelligent vehicles with generative pre-trained transformer." IEEE Transactions on Intelligent Vehicles 2023. Weiyi Yu, Zhizhong Huang, Junping Zhang, Hongming Shan. "SAN-Net: Learning generalization to unseen sites for stroke lesion segmentation with self-adaptive normalization." Computers in Biology and Medicine 2023. Jie Zhou, Pei Ke, Xipeng Qiu, Minlie Huang, Junping Zhang. "ChatGPT: Potential, prospects, and limitations." Frontiers of Information Technology & Electronic Engineering 2023. MA Leiming, LIN Hong, CHU Hai, YIN Chunguang, ZHANG Junping, CHEN Lei, WANG Haibin, XU Kang, FAN Xuliang. "Research Progress of Shanghai Operational Intelligent Forecast Technologies on Severe Convection." Advances in Earth Science. Jiaqi Gao, Jingqi Li, Hongming Shan, Yanyun Qu, James Z Wang, Fei-Yue Wang, Junping Zhang. "Forget less, count better: a domain-incremental self-distillation learning benchmark for lifelong crowd counting." Advances in Earth Science. Frontiers of Information Technology & Electronic Engineering 2022. Zhibo Wang, Jiayu Guo, Zhengming Hu, Haiqiang Zhang, Junping Zhang, Jian Pu. "Lane Transformer: A High-Efficiency Trajectory Prediction Model." Advances in Earth Science. IEEE Open Journal of Intelligent Transportation Systems 2022. Jie Chen, Shouzhen Chen, Zengfeng Huang, Junping Zhang, Jian Pu. "Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with Heterophily." Advances in Earth Science. IEEE Transactions on Neural Networks and Learning Systems 2022. Zhizhong Huang, Junping Zhang and Hongming Shan. "When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework and A New Benchmark." IEEE Transactions on Pattern Analysis and Machine Intelligence 2022. Zhizhong Huang, Jie Chen, Junping Zhang and Hongming Shan. "Learning Representation for Clustering via Prototype Scattering and Positive Sampling." IEEE Transactions on Pattern Analysis and Machine Intelligence 2022. Hanqing Chao, Kun Wang, Yiwei He, Junping Zhang, Jianfeng Feng. GaitSet: Cross-view Gait Recognition through Utilizing Gait as a Deep Set. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. xx, no. xx, pp. xxx-xxx, 2021. Xianye Ben, Yi Ren, Junping Zhang, Su-Jing Wang, Kidiyo Kpalma, Weixiao Meng, Yong-Jin Liu. Video-based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. xx, no. xx, pp. xxx-xxx, 2021. Yiqun Liu, Junping Zhang, Lei Chen, Hai Chu, James Z. Wang, Leiming Ma. SSAS: Spatiotemporal Scale Adaptive Selection for Improving Bias Correction on Precipitation. IEEE Transactions on Cybernetics, vol. xx, no. xx, pp. xxx-xxx, 2021. Haiping Zhu, Hongming Shan, Yuheng Zhang, Lingfu Che, Xiaoyang Xu, Junping Zhang, Jianbo Shi, Fei-Yue Wang. Convolutional Ordinal Regression Forest for Image Ordinal Estimation. IEEE Transactions on Neural Networks and Learning Systems, vol. xx, no. xx, pp. xxx-xxx, 2021. Zhizhong Huang, Shouzhen Chen, Junping Zhang, Hongming Shan. PFA-GAN: Progressive Face Aging with Generative Adversarial Network. IEEE Transactions on Information Forensics and Security, vol. xx, no. xx, pp. xxx-xxx, 2021. Yifei Guo, Bing Li, Xianye Ben, Yi Ren, Junping Zhang, Rui Yan, Yujun Li. A Magnitude and Angle Combined Optical Flow Feature for Micro-Expression Spotting. IEEE Multimedia, vol. xx, no. x, pp.xxx-xxx, 2021. Yiqun Liu, Yiwei He, Shumao Li, Zhenghui Dong, Junping Zhang, Kruger Uwe. "An Auto-Adjustable and Time-Consistent Model for Determining Coagulant Dosage Based on Operators’ Experience," IEEE Transactions on Systems, Man and Cybernetics: Systems, accepted, vol. xx, no. xx, pp. xxx-xxx, 2019. Yiming Lei, Yukun Tian, Hongming Shan, Junping Zhang, Ge Wang, Mannudeep K. Kalra. "Shape and Margin-Aware Lung Nodule Classification in Low-dose CT Images via Soft Activation Mapping", Medical Image Analysis. accepted, vol. xx, no. xx, pp. xxx-xxx, 2019. Yukun Tian, Yiming Lei, Junping Zhang, James Z. Wang. "PaDNet: Pan-Density Crowd Counting," IEEE Transactions on Image Processing, vol. xx, no. xx, pp. xxx-xxx, 2019. Xingxin Wu, Junping Zhang, Fei-Yue Wang. "Stability-based Generalization Analysis of Distributed Learning Algorithms for Big Data," IEEE Transactions on Neural Networks and Learning Systems, accepted, vol. xx, no. xx, pp. xxx-xxx, 2019. Yiwei He, Junping Zhang, Hongming Shan, Liang Wang. "Multi-task GANs for View-Specific Feature Learning in Gait Recognition," IEEE Transactions on Information Forensics and Security, vol.14, no. 1, pp.102-113, 2019. Qi Zhou, Junping Zhang, Lingfu Che, Hongming Shan, James Z. Wang. "Crowd Counting with Limited Labeling through Submodular Frame Selection," IEEE Transactions on Intelligent Transportation Systems, vol. 20, no. 5, pp. 1728-1738, 2019. Hongming Shan, Junping Zhang, Uwe Kruger. "Framework of Randomized Distribution Features for Visual Representation and Categorization," IEEE Transactions on Cybernetics, vol. 49, no. 9, pp.3599-3606, 2019. Xinxing Wu, Junping Zhang. "Distribution-dependent concentration inequalities for tighter generalization bounds," Science China Information Sciences, April 2018, vol. 61:048105:1-048105:3. Feng Xu, Junping Zhang, James Z. Wang. "Microexpression Identification and Categorization using a Facial Dynamics Map," IEEE Transactions on Affective Computing, vol. 8, no. 2, pp. 254-267, 2017. Haiping Zhu, Youngjoo Lee, Hongming Shan, Junping Zhang. "A maximum contributed component regression for the inverse problem in optical scatterometry," Optics Express, vol. 25, no. 14, pp. 15959 - 15966, 2017. Hongming Shan, Junping Zhang, Uwe Kruger. "Learning Linear Representation of Space Partitioning Trees based on Unsupervised Kernel Dimension Reduction, " IEEE Transactions on Cybernetics, vol. 46, no. 12, pp. 3427-3438, 2016. Yujie Lin, Uwe Kruger, Junping Zhang, Qi Wang, Lisa Lamont and Lana El Chaar. "Seasonal Analysis and Prediction of Wind Energy using Random Forests and ARX Model Structures, " IEEE Transactions on Control Systems Technology, vol. 23, no. 5, pp. 1994-2002, 2015. Wei Xia, Junping Zhang and Uwe Kruger, "Semi-supervised Pedestrian Counting with Temporal and Spatial Consistencies," IEEE Transactions on Intelligent Transportation Systems, vol. 16, no. 4, pp. 1705-1715, 2015. Zuchao Wang, Min Lu, Xiaoru Yuan, Junping Zhang and Huub van de Wetering, "Visual Traffic Jam Analysis based on Trajectory Data," IEEE Transactions on Visualization and Computer Graphics, vol. 19, no. 12, pp. 2159-2168, 2013 (VAST'13). Junping Zhang, Ziyu Xie and Stan Z. Li, "Prime Discriminant Simplicial Complex," IEEE Transactions on Neural Networks and Learning Systems, vol. 24, no. 1, pp. 133-144, 2013. Chen Wang, Junping Zhang, Liang Wang, Jian Pu, Xiaoru Yuan, "Human Identification Using Temporal Information Preserving Gait Template," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34, no. 11, pp. 2164-2176, 2012. Siqiang Luo, Junping Zhang, Qian Zhang and Xiaoru Yuan, "Multi-Operator Image Retargeting with Automatic Integration of Direct and Indirect Seam Carving," Image and Vision Computing, vol. 30, pp. 655-667, 2012. Junping Zhang, Qi Wang, Li He, Zhi-Hua Zhou, "Quantitative Analysis of Nonlinear Embedding," IEEE Transactions on Neural Networks, vol. 22, no. 12, pp. 1987-1998, 2011 Ben Tan, Junping Zhang, Liang Wang, "Semi-Supervised Elastic Net for Pedestrian Counting," Pattern Recognition, vol. 44, issues 10-11, pp. 2297-2304, 2011. Junping Zhang, Fei-Yue Wang, Kunfeng Wang, Wei-Hua Lin, Xin Xu, Cheng Chen, "Data-Driven Intelligent Transportation Systems: A Survey," IEEE Transactions on Intelligent Transportation Systems, vol. 12, no. 4, pp. 1624-1639, 2011. Junping Zhang, Ben Tan, Fei Sha, Li He, "Predicting Pedestrian Counts in Crowded Scenes with Rich and High-dimensional Features," IEEE Transactions on Intelligent Transportation Systems, vol. 12, no. 4, pp. 1037-1046, 2011. Junping Zhang, Xiaodan Wang, Uwe Krger, Fei-Yue Wang, "Principal Curve Algorithms for Partitioning High-Dimensional Data Spaces," IEEE Transactions on Neural Networks, vol. 22, no. 3, pp. 367-380, 2011 Junping Zhang, Jian Pu, Changyou Chen, Rudolf Fleischer, "Low-resolution Gait Recognition,"IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 40, no. 4, pp. 986-996, 2010. Changyou Chen, Junping Zhang, Rudolf Fleischer, ''Distance Approximating Dimension Reduction of Riemannian Manifolds'', IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 40, no. 1, pp. 208-217, 2010. Junping Zhang, Uwe Kruger, Xiaodan Wang, Dewang Chen, "A Riemannian Distance Approach for Constructing Principal Curves," International Journal of Neural Systems, vol. 20, no. 3, pp. 209-218, 2010. Junping Zhang, Hua Huang, Jue Wang, "Manifold Learning for Visualizing and Analyzing High-dimensional Data," IEEE Intelligent Systems, Jul/Aug, vol.25, no. 4, pp. 54-61, 2010. Tak-Ming Chan, Junping Zhang, Jian Pu, Hua Huang, "Neighbor Embedding Based Super-Resolution Algorithm Through Edge Detection and Feature Selection," Pattern Recognition Letters, vol. 30, no. 5, pp.494-502, 2009. Junping Zhang, Dewang Chen, Uwe Kruger, "Adaptive Constraint K-segment Principal Curves For Intelligent Transportation Systems," IEEE Transactions on Intelligent Transportation Systems, vol. 9, no. 4, pp. 666-677, 2008. Dewang Chen, Junping Zhang, Shuming Tang, Jue Wang, "Freeway Traffic Stream Modelling based on Principal Curves and its Analysis,"IEEE Transactions on Intelligent Transportation Systems, vol 5, no. 4, pp: 246-258, 2004. Conferences Binlei Li, Zhizhong Huang, Hongming Shan and Junping Zhang. Semantic Latent Decomposition with Normalizing Flows for Face Editing. In ICASSP, 2024. Yiming Lei, Zilong Li, Yangyang Li, Junping Zhang, Hongming Shan. LICO: Explainable Models with Language-Image COnsistency. In NIPS, 2023. Zhizhong Huang, Siteng Ma, Junping Zhang, Hongming Shan. Adaptive Nonlinear Latent Transformation for Conditional Face Editing. In ICCV, 2023. Yujie Wei, Jiaxin Ye, Zhizhong Huang, Junping Zhang, Hongming Shan. Online Prototype Learning for Online Continual Learning. In ICCV, 2023. Zilong Li, Chenglong Ma, Jie Chen, Junping Zhang, Hongming Shan. Learning to Distill Global Representation for Sparse-View CT. In ICCV, 2023. Chenglong Ma, Zilong Li, Junping Zhang, Yi Zhang, Hongming Shan. FreeSeed: Frequency-band-aware and Self-guided Network for Sparse-view CT Reconstruction. In MICCAI, 2023. Yiming Lei, Zilong Li, Yan Shen, Junping Zhang, Hongming Shan. Textual Knowledge-Guided Lung Nodule Malignancy Prediction. In MICCAI. 2023. Mingliang Dai, Zhizhong Huang, Jiaqi Gao, Hongming Shan, Junping Zhang. Cross-Head Supervision for Crowd Counting with Noisy Annotations. In ICASSP, 2023. Yuan Cao, Danchen Zhang, Xin Zheng, Hongming Shan, Junping Zhang. Mutual Information based Reweighting for Precipitation Nowcasting. In ICASSP, 2023. Yifan Yuan, Siteng Ma, Hongming Shan, Junping Zhang. DO-FAM: Disentangled Non-Linear Latent Navigation For Facial Attribute Manipulation. In ICASSP, 2023. Jingqi Li, Yuzhen Zhang, Hongming Shan, Junping Zhang. Gaitcotr: Improved Spatial-Temporal Representation for Gait Recognition with a Hybrid Convolution-Transformer Framework. In ICASSP, 2023. Jingqi Li, Jiaqi Gao, Yuzhen Zhang, Hongming Shan, Junping Zhang. Motion Matters: A Novel Motion Modeling for Cross-View Gait Feature Learning. In ICASSP, 2023. Jie Chen, Zilong Li, Yin Zhu, Junping Zhang, Jian Pu. From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning Paradigm. In CVPR, 2023. Zhizhong Huang, Junping Zhang, Hongming Shan. Twin Contrastive Learning with Noisy Labels; New Effective and Scalable Graph Learning Paradigm. In CVPR, 2023. Zhizhong Huang, Shouzhen Chen, Junping Zhang, Hongming Shan. AgeFlow: Conditional Age Progression and Regression with Normalizing Flows. In IJCAI, 2021. Zhizhong Huang, Junping Zhang, Hongming Shan. When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-task Learning Framework. In CVPR (oral), 2021. Yuanyuan Yuan, Shuai Wang, Junping Zhang. Private Image Reconstruction from System Side Channels Using Generative Models. in ICLR (Poster), Vienna, Austria, May 4-10, 2021(Virtual Conference). Cong Wang, Jian Pu, Zhi Xu, Junping Zhang. Asymmetric Loss for Positive-Unlabeled Learning. In ICME, 2021 Zhizhong Huang, Junping Zhang, Hongming Shan. RoutingGan: Routing Age Progression and Regression with Disentangled Learning. In ICASSP, 2021(Virtual Conference). Yiming Lei, Hongming Shan, Junping Zhang. Meta Ordinal Weighting Net for Improving Lung Nodule Classification. In ICASSP, 2021(Virtual Conference). Yiqun Liu, Yi Zeng, Jian Pu, Hongming Shan, Peiyang He, Junping Zhang. SelfGait:A SpatioTemporal Representation Learning Method for Self-supervised Gait Recognition. in ICASSP, 2021(Virtual Conference). Haiping Zhu, Zhizhong Huang, Hongming Shan, and Junping Zhang. "Look globally, age locally: Face aging with an attention mechanism." ICASSP (Oral), Barcelona, Spain, May 4-8, 2020. Hanqing Chao, Yiwei He, Junping Zhang, Jianfeng Feng, "GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition," AAAI (Oral), Hawaii, USA, Jan.28- Feb.2, 2019. Hongming Shan, Junping Zhang. "Randomized Distribution Feature for Image Classification," ECAI 2016 (accepted rate 27% of more than 650 submissions) , The Hague, Holland, Aug.29- Sep.2, 2016. Ye Zhou, Xin Lu, Junping Zhang, James Z. Wang. "Joint Image and Text Representation for Aesthetics Analysis," ACM MM 2016 (Short Paper), Amsterdam, The Netherlands, Oct.15-19, 2016. Billy Chang, Uwe Kruger, Rafal Kustra, Junping Zhang. Canonical Correlation Analysis based on Hilbert-Schmidt Independence Criterion and Centered Kernel Target Alignment. ICML 2013, Atlanta, Jun. 16-21, 2013. JMLR W&CP 28(2):316-324,2013. Chen Wang, Junping Zhang, Jian Pu, Xiaoru Yuan and Liang Wang, "Chrono-Gait Image: A Novel Temporal Template for Gait Recognition," K. Danilidis, P. Maragos, N. Paragios (Eds.): ECCV 2010, Part I, LNCS 6311, pp. 257-270, 2010. Junping Zhang, HuanXing Shen, and Zhi-Hua Zhou, "Unified Locally Linear Embedding and Linear Discriminant Analysis Algorithm (ULLELDA) for Face Recognition," Advances in Biometric Personal Authentication. Stan Z. Li, Jianhuang Lai, Tieniu Tan, Guocan Feng, Yunhong Wang (Ed.), LNCS 3338, Springer-Verlag, pp: 209-307, 2004. Junping Zhang, Stan Z. Li, and Jue Wang, "Nearest Manifold Approach for Face Recognition," The 6th IEEE International Conference on Automatic Face and Gesture Recognition, Seoul, Korea, May, pp. 223-228, 2004. Chinese 张军平. 高质量读研: 教你如何写论文、做科研, 人民邮电出版社, 2021. 余唯一, 陈涛, 张军平, 单洪明. "基于深度学习的MRI脑卒中病灶分割方法综述,"智能科学与技术学报 赖剑煌, 贲晛烨, 桑农, 于仕琪, 赵启军, 张军平, 郑伟诗, 张鹏, 陈秀妍. "《 中国图象图形学报》 视频身份识别技术专刊简介,"中国图象图形学报. 许文正, 黄天欢, 贲晛烨, 曾翌, 张军平. "跨视角步态识别综述,"中国图象图形学报. 王飞跃, 缪青海, 张军平, 郑文博, 丁文文. "探讨AI for Science 的影响与意义: 现状与展望,"智能科学与技术学报. 张军平. 爱犯错的智能体 (Errors Favor Intelligent Beings), 清华大学出版社, 2019. 车令夫,田宇坤,朱海平,张军平. "基于最优输运的迁移学习,"模式识别与人工智能, vol.32,no.6,pp.481-493,2019 何逸炜, 张军平. "步态识别的深度学习: 综述," 模式识别与人工智能, vol. 31, no. 5, pp. 442-452, 2018. 单洪明, 张军平. "实值多变量维数约简: 综述," 自动化学报, vol. 44, no. 22, pp. 193-215, 2018. 徐峰, 张军平. "人脸微表情识别综述, " 自动化学报, vol. 43, no. 3, pp. 333-348, 2017. 张志豪, 张军平, 陈德铭, 卢颖, 袁晓如, 古天龙. "基于可交互相关性矩阵的维度重排径向坐标可视化方法, " 模式识别与人工智能, vol. 30, no. 7, pp. 637-645, 2017. 浦剑, 张军平, ''基于词典学习和稀疏表示的超分辨率方法,'' 模式识别与人工智能, vol. 23, no. 3, pp. 335-340, 2010.

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