基本信息

• 职称：教授 （硕士生导师、博士生导师）

• 研究方向：计算机视觉与模式识别

• 电子邮箱：huangyongzhen@bnu.edu.cn

个人简介

黄永祯博士从事计算机视觉与模式识别研究近20年，出版专著1部并发表论文100多篇，学术引用约7000次，获国家“万人计划”青年拔尖人才等十多项荣誉和奖项，担任智能视觉计算联合研究中心主任，该中心由北师大人工智能学院与银河水滴共建，致力于打造具有北师大特色的计算机视觉研究，研究人工智能与安全、心理学、教育学等领域的交叉创新，探索与企业合作的产业落地应用。

教育背景

• 2006年-2011年  中国科学院自动化研究所  模式识别与智能系统  博士  （导师：谭铁牛院士）

• 2002年-2006年  华中科技大学人工智能与自动化学院  自动化   学士

工作经历

• 2022年-现在     北京师范大学人工智能学院      教授

• 2021年-2022年    北京师范大学人工智能学院     副教授

• 2013年-2021年    中国科学院自动化研究所      副研究员

• 2011年-2013年    中国科学院自动化研究所     助理研究员

主持和参加的科研项目

• 国家自然科学基金面上项目，面向健康评估的视觉行为分析与干预研究，63.24万元，2025/01至2028/12

• 北京市科委项目，生成式人工智能内容安全与伦理风险研究，40万元，2023/09至2025/09

• 国家自然科学基金面上项目，无人机视角步态识别研究，66.96万元，2023/01至2026/12

• 校企合作联合研究中心项目，智能视频分析与软硬一体平台设计研究，300万元，2021/10至2026/09

• 国家万人计划青年拔尖项目，远距离步态识别，205万元，2019/03至2022/02

• 中国科学院STS重点项目，远距离步态识别技术与应用，200万元，2017/07至2018/06

• 北京市科技新星项目，科技新星与领军人才培养，10万元，2017/01至2019/12

• 国家自然科学基金面上项目，基于物体窗口深度表达的目标分类与检测，78.8万元，2016/01至2019/12

• 360集团科研重点基金项目，基于深度学习的物体识别，60万元，2015/03至2016/03

• 三星全球科研拓展GRO项目，高精度人形分割研究，10万美元，2014/10至2015/09

• CCF-腾讯犀牛鸟基金项目，基于深度学习的目标检测研究，10万元，2014/08至2015/10

• 国家自然科学基金青年项目，基于特征结构关系的目标分类研究，24万元，2013/01至2015/12

• 清华信息科学与技术国家实验室学科交叉基金重点项目，基于局部特征关系的目标分类研究，50万元，2012/04至2014/10

主要学术成果

• Saihui Hou, Zengbin Wang, Man Zhang, Chunshui Cao, Xu Liu, Yongzhen Huang, Edge-Oriented Adversarial Attack for Deep Gait Recognition, International Journal of Computer Vision (IJCV, IF:19.5), CCF-A, 2024.

• Aoqi Li, Saihui Hou, Chenye Wang, Qingyuan Cai, Yongzhen Huang, AerialGait: Bridging Aerial and Ground Views for Gait Recognition, ACM International Conference on Multimedia (MM), CCF-A, 2024.

• Saihui Hou, Xuecai Hu, Chunshui Cao, Xu Liu and Yongzhen Huang, Adaptive Knowledge Transfer for Weak-Shot Gait Recognition, IEEE Transactions on Information Forensics and Security (TIFS, IF:6.8), CCF-A, 2024.

• Min Ren, Yunlong Wang, Yuhao Zhu, Yongzhen Huang, Zhenan Sun, Qi Li, Tieniu Tan, Artificial Immune System of Secure Face Recognition Against Adversarial Attacks, International Journal of Computer Vision (IJCV, IF:19.5), CCF-A, 2024.

• Min Ren, Yuhao Zhu, Yunlong Wang, Yongzhen Huang, Zhenan Sun, Understanding Deep Face Representation via Attribute Recovery, IEEE Transactions on Information Forensics and Security (TIFS, IF:6.8), CCF-A, 2024.

• Kang Ma, Ying Fu,Chunshui Cao, Saihui Hou, Yongzhen Huang, Dezhi Zheng, Learning Visual Prompt for Gait Recognition, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), CCF-A, 2024.

• Zhenye Luo, Min Ren, Xuecai Hu, Yongzhen Huang, Li Yao, POPDG: Popular 3D Dance Generation with PopDanceSet, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), CCF-A, 2024.

• Panjian Huang, Saihui Hou, Chunshui Cao, Xu Liu, Xuecai Hu, and Yongzhen Huang, Integral Pose Learning via Appearance Transfer for Gait Recognition, IEEE Transactions on Information Forensics and Security (TIFS, IF:6.8), CCF-A, 2024.

• Saihui Hou, Panjian Huang, Xu Liu, Chunshui Cao, and Yongzhen Huang, Cloth-Imbalanced Gait Recognition via Hallucination, IEEE Transactions on Circuits and System for Video Technology (TCSVT, IF: 8.4), CCF-B/中科院二区, 2024.

• Qingyuan Cai, Xuecai Hu, Saihui Hou, Li Yao, Yongzhen Huang, Disentangled Diffusion-Based 3D Human Pose Estimation with Hierarchical Spatial and Temporal Denoiser, AAAI Conference on Artificial Intelligence (AAAI), CCF-A, 2024.

• Zengbin Wang, Saihui Hou, Man Zhang, Xu Liu, Chunshui Cao, Yongzhen Huang, Peipei Li, Shibiao Xu, QAGait: Revisit Gait Recognition from a Quality Perspective, AAAI Conference on Artificial Intelligence (AAAI), CCF-A, 2024.

• Chao Fan, Saihui Hou, Jilong Wang, Yongzhen Huang, and ShiqiYu, Learning Gait Representation from Massive Unlabelled Walking Videos: A Benchmark, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, IF: 23.6), CCF-A/中科院一区, 2024.

• Xu Song, Saihui Hou, Yan Huang, Chunshui Cao, Xu Liu, Yongzhen Huang, Caifeng Shan, Gait Attribute Recognition: A New Benchmark for Learning Richer Attributes from Human Gait Patterns, IEEE Transactions on Information Forensics and Security (TIFS, IF:6.8), CCF-A, 2024.

• Aoqi Li, Qingyuan Cai, Siahui Hou and Yongzhen Huang, Gait Recognition with Drones: A Benchmark, IEEE Transactions on Multimedia (TMM, IF: 7.3), CCF-B/中科院一区, 2024.

• Zengbin Wang, Saihui Hou, Man Zhang, Xu Liu, Chunshui Cao, Yongzhen Huang, GaitParsing: Human Semantic Parsing for Gait Recognition, IEEE Transactions on Multimedia (TMM, IF: 7.3), CCF-B/中科院一区, 2024.

• Chunfeng Song1, Yongzhen Huang1, Weining Wang, Liang Wang, CASIA-E: A Large Comprehensive Dataset for Gait Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, IF: 23.6), CCF-A/中科院一区, 2023.

• Saihui Hou, Xu Liu, Chunshui Cao and Yongzhen Huang, Gait Quality Aware Network: Toward the Interpretability of Silhouette-based Gait Recognition, IEEE Transactions on Neural Networks and Learning Systems (TNNLS, IF: 10.4), CCF-B/中科院一区, 2023.

• Saihui Hou, Chao Fan, Chunshui Cao, Xu Liu and Yongzhen Huang, A Comprehensive Study on the Evaluation of Silhouette-based Gait Recognition, IEEE Transaction on Biometrics, Behavior, and Identity Science (TBIOM), 2023.

• Kang Ma, Ying Fu, Dezhi Zheng, Yunjie Peng, Chunshui Cao and Yongzhen Huang, Fine-grained Unsupervised Domain Adaptation for Gait Recognition, IEEE Conference on Computer Vision (ICCV), CCF-A, 2023.

• Yang Fu, Shibei Meng, Saihui Hou, Xuecai Hu and Yongzhen Huang, GPGait: Generalized Pose-based Gait Recognition, IEEE Conference on Computer Vision (ICCV), CCF-A, 2023.

• Jilong Wang, Saihui Hou, Yan Huang, Chunshui Cao, Xu Liu, Yongzhen Huang, Liang Wang, Causal Intervention for Sparse-View Gait Recognition, ACM International Conference on Multimedia (MM), CCF-A, 2023.

• Zengbin Wang, Saihui Hou, Man Zhang, Xu Liu, Chunshui Cao, Yongzhen Huang, Shibiao Xu, LandmarkGait: Intrinsic Human Parsing for Gait Recognition, ACM International Conference on Multimedia (MM), CCF-A, 2023.

• Kang Ma, Ying Fu, Dezhi Zheng, Chunshui Cao, Xuecai Hu, and Yongzhen Huang, Dynamic Aggregated Network for Gait Recognition, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), CCF-A, 2023.

• Chao Fan, Junhao Liang, Chuanfu Shen, Saihui Hou, Yongzhen Huang, Shiqi Yu, OpenGait: Revisiting Gait Recognition Towards Better Practicality, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), CCF-A, 2023.

• Weijia Li, Saihui Hou, Chunjie Zhang, Chunshui Cao, Xu Liu, Yongzhen Huang, Yao Zhao, An In-depth Exploration of Person Re-identification And Gait Recognition in Cloth-Changing Conditions, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), CCF-A, 2023.

• Saihui Hou, Xu Liu, Chunshui Cao, and Yongzhen Huang, Set Residual Network for Silhouette-based Gait Recognition, IEEE Transaction on Biometrics, Behavior and Identity Science (TBIOM), 2021.

• Chao Fan, Yunjie Peng, Chunshui Cao, Xu Liu, Saihui Hou, Jiannan Chi, Yongzhen Huang, Qing Li, Zhiqiang He, GaitPart: Temporal Part-based Model for Gait Recognition, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

• Chunshui Cao, Yongzhen Huang, Yi Yang, Liang Wang, Zilei Wang, and Tieniu Tan, Feedback Convolutional Neural Network for Visual Localization and Segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, IF: 23.6), CCF-A/中科院一区, 2019.

• Yuqi Zhang, Yongzhen Huang, Shiqi Yu, Liang Wang, Cross-view Gait Recognition by Discriminative Feature Learning, IEEE Transactions on Image Processing (TIP, IF: 10.6), CCF-A/中科院一区, 2019.

• Chunshui Cao, Yongzhen Huang, Zilei Wang, Liang Wang, Ninglong Xu, Tieniu Tan, Lateral Inhibition-inspired Convolutional Neural Network for Visual Attention and Saliency Detection, AAAI Conference on Artificial Intelligence (AAAI), CCF-A, 2018.

• Zifeng Wu, Yongzhen Huang, Liang Wang, Xiaogang Wang, and Tieniu Tan, A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, IF: 23.6), CCF-A/中科院一区, 2017.

• Kaihao Zhang, Yongzhen Huang, Yong Du, and Liang Wang, Facial Expression Recognition Based on Deep Evolutional Spatial-Temporal Networks, IEEE Transactions on Image Processing (TIP, IF: 10.6), CCF-A/中科院一区, 2017.

• Yucan Zhou, Yongzhen Huang, Qinghua Hu, and Liang Wang, Kernel Based Semantic Hashing for Gait Retrieval, IEEE Transactions on Circuits and System for Video Technology (TCSVT, IF: 8.4), CCF-B/中科院二区, 2017.

• Jingyu Liu, Yongzhen Huang, Junran Peng, Jun Yao and Liang Wang, Fast Object Detection at Constrained Energy Cost, IEEE Transactions on Emerging Topics in Computing (TETC, IF:5.9), 中科院二区, 2016.

• Shu Wu, Weiyu Guo, Song Xu, Yongzhen Huang, Liang Wang, Tieniu Tan. Coupled Topic Model for Collaborative Filtering with User-Generated Content, IEEE Transactions on Human-Machine Systems (THMS, IF:3.6), 2016.

• Yongzhen Huang and Tieniu Tan, Feature coding for Image Representation and Recognition, Springer, ISBN: 978-3-662-44999-8, 2015.[专著]

• Zifeng Wu, Yongzhen Huang, and Liang Wang, Learning Representative Deep Features for Image Set Analysis, IEEE Transactions on Multimedia (TMM, IF: 7.3), CCF-B/中科院一区, 2015.

• Jianwei Ding, Yongzhen Huang, Wei Liu, and Kaiqi Huang, Severely Blurred Object Tracking by Learning Deep Image Representations, IEEE Transactions on Circuits and System for Video Technology (TCSVT, IF: 8.4), CCF-B/中科院二区, 2015.

• Fang Zhao, Yongzhen Huang, Liang Wang, and Tieniu Tan, Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), CCF-A, 2015.

• Chunshui Cao, Yongzhen Huang et al., Look and Think Twice: Capturing Top-Down Visual Attention with Feedback Convolutional Neural Networks, IEEE Conference on Computer Vision (ICCV), CCF-A, 2015.

• Yongzhen Huang, Zifeng Wu, Liang Wang, and Tieniu Tan, Feature Coding in Image Classification: A Comprehensive Study, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, IF: 23.6), CCF-A/中科院一区, 2014.

• Fang Zhao, Yongzhen Huang, Liang Wang, and Tieniu Tan, Relevance Topic Model for Unstructured Social Group Activity Recognition, Annual Conference on Neural Information Processing Systems (NeurIPS), CCF-A, 2013.

• Yongzhen Huang, Kaiqi Huang, Dacheng Tao, Xuelong Li and Tieniu Tan, Enhanced Biologically Inspired Model for Object Recognition, IEEE Transactions on Cybernetics (IF: 11.8), CCF-B/中科院一区, 2011.

• Yongzhen Huang, Kaiqi Huang, Yinan Yu, Tieniu Tan, Salient Coding for Image Classification, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), CCF-A, 2011.

• Yongzhen Huang, Kaiqi Huang, Chong Wang, Tieniu Tan, Exploring Relations of Visual Codes for Image Classification,IEEE Conference on Computer Vision and Pattern Recognition (CVPR), CCF-A, 2011.

• Yongzhen Huang, Kaiqi Huang, Liangsheng Wang, Dacheng Tao, Tieniu Tan and Xuelong Li, Enhanced Biologically Inspired Model for Object Recognition, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), CCF-A, 2008.

奖励与荣誉

• 2022年，华为昇腾MVP奖

• 2022年，北京市麒麟科学技术奖

• 2021年，天津市科技进步特等奖

• 2021年，中国图象图形学学会科技进步二等奖

• 2019年，中国生物特征识别大会最佳论文

• 2019年，国家“万人计划”青年拔尖人才

• 2018年，北京市科学技术二等奖

• 2017年，中科院科技成果转化一等奖

• 2017年，北京市青年骨干优秀人才

• 2017年，北京市科技新星

• 2019年，入选中科院青促会

• 2016年，中国模式识别大会最佳论文

• 2015年，中国计算机视觉大会最佳学生论文

• 2015年，国际低功耗目标识别竞赛（LPIRC）亚军、最低功耗奖

• 2013年，百度人形图像分割大赛冠军

• 2012年，全国人工智能学会优秀博士论文（全国5篇）

• 2011年，北京市专利奖二等奖

• 2011年，PASCAL VOC国际目标检测竞赛冠军、目标分类竞赛亚军

• 2010年，PASCAL VOC国际目标检测竞赛冠军

• 2010年，中国专利优秀奖

学术与社会服务

• Associate Editor, Neurocomputing（2013-2018）

• 理事，中国图象图形学学会（2021-2023）

• 副主任，中国图象图形学学会视觉检测专业委员会

• 委员，中国计算机学会计算机视觉专业委员会

• 委员，中国人工智能学会模式识别专业委员会

合作博后及指导学生情况

• 2024年，任民（励耘博后）获批国家自然科学基金青年项目

• 2024年，本科生黄丰棋、周恒宇、王宪韬获批校级创新项目《基于华为昇腾芯片的多模态大模型研究》

• 2024年，本科生曾怡嘉、叶晓尧、张泽斌获批校级创新项目《基于多模态大模型的智能导游平台设计与开发》

• 2023年，任民（励耘博后）入选“2023年度博士后创新人才支持计划”

• 2023年，任民（励耘博后）获中国博士后基金面上资助

• 2023年，大四本科生孟诗蓓（保送生）获“北京师范大学2023届本科生优秀毕业论文”，《基于人体关键点的步态识别泛化方法研究》，被推荐申请北京市本科生优秀毕业论文

• 2022年，研一硕士生付杨、李奥奇取得第三届国际步态识别竞赛第1名

• 2022年，本科生李奡、张文杰、吴若愚获批省级创新项目《基于步态的学生心理健康长期跟踪监测系统》

指导本科生、硕博研究生毕业去向

• 2024年，硕士毕业生郭雯瑜被国家统计局录用

• 2024年，硕士毕业生蔡庭钰被中国银行录用

• 2024年，本科实习生赵艺雯成功入选卡内基梅隆大学（CMU）机器人研究所计算机视觉硕士项目（Master of Science in Computer Vision(MSCV) program）

• 2023年，本科实习生李奡保送清华大学深圳国际研究生院研究生

• 2023年，本科实习生吴若愚保送北京大学软件与微电子学院研究生

招生说明

志向和热爱是伟大行为的双翼！欢迎立志在人工智能领域做出卓越成果且为此充满激情的同学加入我们！