吴保元

副教授
助理院长(科研)

教育背景

中国科学院自动化研究所博士
北京科技大学学士

 

研究领域
可信人工智能、生成人工智能
个人网站
电子邮箱
wubaoyuan@cuhk.edu.cn
办公室
道远楼411
个人简介

吴保元博士现任香港中文大学(深圳)数据科学学院终身副教授、助理院长(科研),并担任深圳市模式分析与感知计算重点实验室(筹)副主任、龙岗区智能数字经济安全重点实验室主任。其研究方向包括可信人工智能、机器学习和计算机视觉,在人工智能的顶级期刊和会议上发表论文90多篇,并曾入选人工智能顶级会议CVPR 2019最佳论文候选名单。其担任人工智能领域国际期刊IEEE TIFS、Neurocomputing编委、第五届中国模式识别与计算机视觉大会PRCV 2022组委会主席、国际会议CVPR 2024/2025、NeurIPS 2022/2023/2024、NeurIPS Datasets and Benchmarks Track 2023/2024、ICLR 2022/2023/2024、ICML 2023/2024/2025、AAAI 2022/2024/2025领域主席、中国自动化学会模式识别与机器智能专委会副秘书长,入选斯坦福大学“全球前2%顶尖科学家”2021、2022、2023年度榜单。作为项目负责人承担广东省自然科学基金杰出青年项目1项,科技部重点研发计划重点专项课题1项,国家自然科学基金面上项目1项, 深圳市优秀科技创新人才优秀青年基础研究项目1项,CCF-腾讯犀牛鸟基金1项,CCF-快手大模型探索基金1项,CCF-海康威视斑头雁基金1项,CAAI-华为MindSpore学术奖励基金1项,腾讯犀牛鸟研究专项基金2项。荣获2023年度香港中文大学(深圳)青年科研奖。

学术著作

Selected Journal Publications:

1. Baoyuan Wu, Bernard Ghanem, “Lp-Box ADMM: A Versatile Framework for Integer Programming”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Volume 41(7), Page 1695-1708, 2019. (CCF A, IF 17.73)

2. Zechun Liu, Wenhan Luo, Baoyuan Wu, Xin Yang, Wei Liu and Kang-Ting Cheng, “Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance”, accepted to International Journal of Computer Vision (IJCV), 2019. (CCF A, IF 11.541)
3.  Baoyuan Wu, Li Shen, Bernard Ghanem and Tong Zhang, “MAP Inference via L2-Sphere Linear Program Reformulation”, accepted to International Journal of Computer Vision (IJCV) (CCF A, IF 11.541, under review, major revision)
4. Baoyuan Wu, Fan Jia, Wei Liu, Bernard Ghanem and Siwei Lyu, “Multi-label Learning with Missing Labels using Mixed Graphs”, International Journal of Computer Vision (IJCV), Volume 126 (8), Page 875-896, 2018. (CCF A, IF 11.541)
5.  Shibiao Xu, Xingjia Pan, Er Li, Baoyuan Wu, Shuhui Bu, Weiming Dong, Shiming Xiang, Xiaopeng Zhang, “Automatic Building Rooftop Extraction From Aerial Images via Hierarchical RGB-D Priors”, IEEE Transactions on Geoscience and Remote Sensing, Volume 56 (12), Page 7369-7387, 2018. (CCF B, IF 5.63)
6. Baoyuan Wu, Bao-Gang Hu, Qiang Ji, “A coupled hidden markov random field model for simultaneous face clustering and tracking in videos", Pattern Recognition, Volume 64, Page 361-373, 2017. (CCF B, IF 5.898)
7. Yifan Zhang, Zhiqiang Tang, Baoyuan Wu (corresponding author), Qiang Ji, Hanqing Lu, “A coupled hidden conditional random field model for simultaneous face clustering and naming in videos", IEEE Transactions on Image Processing, Volume 25 (12), Page 5780-5792, 2016. (CCF A, IF 6.79)
8. Yongqiang Li, Baoyuan Wu (corresponding author), Bernard Ghanem, Yongping Zhao, Hongxun Yao, Qiang Ji, “Facial action unit recognition under incomplete data based on multi-label learning with missing labels", Pattern Recognition, Volume 60, Page 890-900, 2016. (CCF B, IF 5.898)
9. Baoyuan Wu, Siwei Lyu, Bao-Gang Hu, Qiang Ji, “Multi-label learning with missing labels for image annotation and facial action unit recognition”, Pattern Recognition, Volume 48, Page 2279-2289, 2015. (CCF B, IF 5.898)


Selected Conference Papers:
1. Yong Zhang, Haiyong Jiang, Baoyuan Wu (corresponding author), Yanbo Fan and Qiang Ji. "Context-aware Feature and Label Fusion for Facial Action Unit Intensity Estimation with Partially Labeled Data", ICCV 2019. (CCF A)
2. Yan Xu*, Baoyuan Wu* (co-first authors, corresponding author), Fumin Shen, Yanbo Fan, Yong Zhang, Heng Tao Shen and Wei Liu. "Exact Adversarial Attack to Image Captioning via Structured Output Learning with Latent Variables", CVPR 2019. (CCF A)
3. Tuanhui Li, Baoyuan Wu (corresponding author), Yujiu Yang, Yanbo Fan, Yong Zhang, and Wei Liu. "Compressing Convolutional Neural Networks via Factorized Convolutional Filters", CVPR 2019. (CCF A)
4. Yong Zhang, Baoyuan Wu (corresponding author), Weiming Dong, Zhifeng Li, Wei Liu, Bao-Gang Hu and Qiang Ji. "Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation", CVPR 2019. (CCF A)
5. Yinpeng Dong, Hang Su, Baoyuan Wu, Zhifeng Li, Wei Liu, Tong Zhang and Jun Zhu. "Efficient Decision-based Black-box Adversarial Attacks on Face Recognition", CVPR 2019. (CCF A)
6. Kaihua Tang, Hanwang Zhang, Baoyuan Wu, Wenhan Luo and Wei Liu. "Learning to Compose Dynamic Tree Structures for Visual Contexts", CVPR 2019 (Best Paper Finalist). (CCF A)
7.  Xin Li, Chao Ma, Baoyuan Wu, Zhenyu He and Ming-Hsuan Yang. "Target-Aware Deep Tracking", CVPR 2019. (CCF A)
8. Jia Wan, Wenhan Luo, Baoyuan Wu, Antoni Chan and Wei Liu. "Residual Regression with Semantic Prior for Crowd Counting", CVPR 2019. (CCF A)
9. Baoyuan Wu, Weidong Chen, Wei Liu, Peng Sun, Bernard Ghanem and Siwei Lyu, “Tagging Like Humans: Diverse and Distinct Image Annotation”, CVPR, 2018. (CCF A)
10.  Linchao Bao, Baoyuan Wu and Wei Liu, “Video Object Segmentation via Inference inA Higher-Order Spatio-Temporal MRF”, CVPR, 2018. (CCF A)
11. Zechun Liu, Baoyuan Wu, Wenhan Luo, Xin Yang, Wei Liu and Kang-Ting Cheng, “Bi-Real Net: Enhancing the Performance of 1-bit CNNs with Improved Representational Capability and Advanced Training Algorithm”, ECCV, 2018. (CCF B)
12.  Baoyuan Wu, Fan Jia, Wei Liu and Bernard Ghanem, “Diverse Image Annotation”, CVPR, 2017. (CCF A)
13. Baoyuan Wu, Siwei Lyu, Bernard Ghanem, “Constrained Submodular Minimization for Missing Labels and Class Imbalance in Multi-label Learning”, AAAI, 2016. (CCF A)
14. Baoyuan Wu, Siwei Lyu, Bernard Ghanem, “ML-MG: Multi-label Learning with Missing Labels Using a Mixed Graph”, ICCV, 2015. (CCF A)
15.  Baoyuan Wu, Siwei Lyu, Baogang Hu, Qiang Ji, “Simultaneous Clustering and Tracklet Linking for Multi-Face Tracking in Videos”, ICCV, 2013. (CCF A)
16.  Baoyuan Wu, Yifan Zhang, Baogang Hu and Qiang Ji, “Constrained Clustering and Its Application to Face Clustering in Videos”, CVPR, 2013. (CCF A)