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赵峰

来源：自动化系发布时间：2021-05-10 点击：10510

赵峰

教授、博士生导师
类脑智能技术及应用国家工程实验室
办公室地址：中科大西区电四楼421

电子邮箱：fzhao956@ustc.edu.cn

个人主页：https://bivlab123.github.io/

教育背景
1995.9 - 2000.6, 中国科学技术大学电子工程与信息科学系本科
2000.8 - 2002.7, 香港中文大学信息工程系（计算机视觉）硕士（导师：汤晓鸥教授）

2002.8 - 2006.5, 香港中文大学信息工程系（计算机视觉）博士（导师：汤晓鸥教授）

工作经历
2006-2018，先后在香港、新加坡、英国知名高校从事科研和教学工作，历任博士后、副研究员、研究员、讲师和副教授（终身）
2019-至今中国科学技术大学，教授
研究方向

人工智能、机器学习/深度学习、计算机视觉、类脑视觉、图像处理、医学图像处理与分析、模式识别

科研简况

★在核心国际期刊和重要学术会议上发表SCI、EI论文80余篇，包括一区期刊IEEE Transactions (TFS、TMM、TRGS、TCAS-I)、IEEE JBHI、JSSC、Pattern Recognition和领域顶会IEEE CVPR、ECCV、NeurIPS、ICLR、IJCAI、AAAI、ACM MM、EMNLP等，第一作者论文单篇被引用最高210+次，包括美国国家工程院院士、IEEE/ACM Fellow、知名研究组等，先后获得英国高等教育学院会士(HEA Fellow)、ICIDM 2018最佳论文奖、3D实例分割国际挑战赛冠军(IJCAI-PRICAI 2020)、Streaming Perception 2D图像检测比赛全栈赛道亚军及UG2+低光人脸检测竞赛季军(CVPR 2021 Workshop)、SSLAD第二赛道3D目标检测国际挑战赛季军(ECCV 2022 Workshop)、2021王宽诚育才奖、国家科技专家库评审专家等荣誉，入选2019商汤访问学者、2019新创学者、2020安徽省创新人才项目。

★担任多个国际期刊和会议审稿人(IEEE TIP、IEEE TNNLS、IEEE TMM、IEEE TCSVT、JBHI、PR、CVPR、ICCV、ECCV、IJCAI等)，多次在国际学术会议上发表专题演讲(CVPR、ECCV、NeurIPS、ICLR、IJCAI、AAAI、ACM MM等)，参与组织多个国际学术会议及期刊特别专题(MIUA 2012、BMVC 2015、ISEAE 2021&2022、MLAI 2022、IEEE TCSVT等)。

★ 作为课题负责人、合作者或核心人员，主持和参与多个大型科研项目(2006-2007 美国海军部，120万；2007-2010 新加坡科技局，500万；2011-2015 英国威尔士政府，312万；2015-2018 欧盟面向2020，3000万；2017-2020 欧洲区域发展基金，4500万；2018-2021 国家发改委、安徽省市政府，9200万；2019-2021 中科大科研启动，100万；2021-2022 蔚来智能电动汽车，50万；2021-2023 JKW创新特区，270万；2021-2024 安徽省自然科学基金，30万)，所参与研发的欧盟面向2020老年陪护机器人，帮助解决人口老龄化难题，被英国The Times和BBC广泛报道。

★ 成功研发多个高性能系统，包括大规模海洋生物自动分类、非入侵式早期癌症检测、交互式医学图像分割、基于热成像的人体关键生理特征实时监测。

★ 丰富的科研实验室管理经验，与海外知名院校及医疗单位科研人员合作经验。2001-2007年，协助商汤科技创始人、上海人工智能实验室主任、IEEE Fellow汤晓鸥教授创建并管理香港中文大学多媒体实验室MMLab（亚洲唯一入选的世界十大人工智能先锋实验室）。

研究生招生

每年招收研究生（学硕、专硕）、学术博士、工程博士、上海人工智能实验室科研学术博士（国家级AI Lab, 由IEEE Fellow汤晓鸥教授、图灵奖获得者姚期智教授和IEEE Fellow陈杰院士牵头，https://www.shlab.org.cn/），欢迎电子工程、自动化、计算机、信息科学、物理、数学等专业的优秀学生尽早联系；

与美国、英国、澳洲、新加坡、香港多间大学有密切联系，可联合培养和推荐出国深造。

博士后招聘

长期招聘博士后，待遇从优，欢迎优秀人才加盟。

部分代表作（*通讯作者）

[1] Man Zhou, Jie Huang, Feng Zhao, Danfeng Hong, Modality-aware feature integration for pan-sharpening, IEEE Trans. Geoscience and Remote Sensing (TGRS), 61:1-14, 2023.

[2] Naishan Zheng, Jie Huang, Feng Zhao*, Xueyang Fu, Feng Wu, Unsupervised underexposed image enhancement via self-illuminated and perceptual guidance, IEEE Trans. Multimedia (TMM), 1-16, 2022.

[3] Man Zhou, Jie Huang, Xueyang Fu, Feng Zhao, Danfeng Hong, Effective pan-sharpening by multiscale invertible neural network and heterogeneous task distilling, IEEE Trans. Geoscience and Remote Sensing (TGRS), 60:1-14, 2022.

[4] Wang Yuan, Yonghua Liu, Chunyi Su, Feng Zhao, Whole-body control of an autonomous mobile manipulator using model predictive control and adaptive fuzzy technique, IEEE Trans. Fuzzy Systems (TFS), 1-11, 2022.

[5] Jie Huang, Xueyang Fu, Zeyu Xiao, Feng Zhao, Zhiwei Xiong, Low-light stereo image enhancement, IEEE Trans. Multimedia (TMM), 1-16, 2022.

[6] Man Zhou, Xueyang Fu, Jie Huang, Feng Zhao, Aiping Liu, Rujing Wang, Effective pan-sharpening with transformer and invertible neural network, IEEE Trans. Geoscience and Remote Sensing (TGRS), 60:1-15, 2021.

[7] Chunli Sun, Ao Xu, Dong Liu, Zhiwei Xiong, Feng Zhao*, Weiping Ding, Deep learning-based classification of liver cancer histopathology image using only global labels, IEEE J. Biomedical and Health Informatics (JBHI), 24(6):1643-1651, 2020.

[8] Deyi Ji, Feng Zhao*, Hongtao Lu, Mingyuan Tao, Jieping Ye, Ultra-high resolution segmentation with ultra-rich context: A novel benchmark, CVPR 2023.

[9] Jie Huang, Man Zhou, Jie Xiao, Kaiwen Zheng, Naishan Zheng, Feng Zhao*, Zhiwei Xiong, Learning sample relationship for exposure correction, CVPR 2023.

[10] Jinghao Zhang, Jie Huang, Mingde Yao, Zizheng Yang, Hu Yu, Man Zhou, Feng Zhao*, Ingredient-oriented multi-degradation learning for image restoration, CVPR 2023.

[11] Zizheng Yang, Jie Huang, Jiahao Chang, Man Zhou, Hu Yu, Jinghao Zhang, Feng Zhao*, Visual recognition-driven image restoration for multiple degradation with intrinsic semantics recovery, CVPR 2023.

[12] Shuo Wang, Xinhai Zhao, Haiming Xu, Zehui Chen, Dameng Yu, Jiahao Chang, Zhen Yang, Feng Zhao*, Towards domain generalization for multi-view 3D object detection in bird-eye-view, CVPR 2023.

[13] Zehui Chen, Zhenyu Li, Shiquan Zhang, Liangji Fang, Qinhong Jiang, Feng Zhao*, BEVDistill: Cross-modal BEV distillation for multi-view 3D object detection, ICLR 2023.

[14] Hanting Li, Hongjing Niu, Zhaoqing Zhu, Feng Zhao*, Intensity-aware loss for dynamic facial expression recognition in the wild, AAAI 2023.

[15] Naishan Zheng, Jie Huang, Man Zhou, Zizheng Yang, Qi Zhu, Feng Zhao*, Learning semantic degradation-aware guidance for recognition-driven unsupervised low-light image enhancement, AAAI 2023.

[16] Yi Zhu, Zhaoqing Zhu, Bingqian Lin, Xiaodan Liang, Feng Zhao*, Jianzhuang Liu, RelCLIP: Adapting language-image pretraining for visual relationship detection via relational contrastive learning, EMNLP 2022.

[17] Hongjing Niu, Hanting Li, Feng Zhao*, Bin Li, Roadblocks for temporarily disabling shortcuts and learning new knowledge, NeurIPS 2022.

[18] Man Zhou, Hu Yu, Jie Huang, Feng Zhao, Jinwei Gu, Chen Change Loy, Deyu Meng, Chongyi Li, Deep Fourier up-sampling, NeurIPS 2022.

[19] Keyu Yan, Man Zhou, Jie Huang, Feng Zhao, Chengjun Xie, Chongyi Li, Danfeng Hong, Panchromatic and multispectral image fusion via alternating reverse filtering network, NeurIPS 2022.

[20] Jie Huang, Yajing Liu, Feng Zhao*, Keyu Yan, Jinghao Zhang, Yukun Huang, Man Zhou, Zhiwei Xiong, Deep Fourier-based exposure correction network with spatial-frequency interaction, ECCV 2022. (Oral)

[21] Man Zhou, Jie Huang, Keyu Yan, Hu Yu, Xueyang Fu, Aiping Liu, Xian Wei, Feng Zhao*, Spatial-frequency domain information integration for pan-sharpening, ECCV 2022.

[22] Zehui Chen, Zhenyu Li, Shiquan Zhang, Liangji Fang, Qinhong Jiang, Feng Zhao*, Deformable feature aggregation for dynamic multi-modal 3D object detection, ECCV 2022.

[23] Hu Yu, Naishan Zheng, Man Zhou, Jie Huang, Feng Zhao*, Frequency and spatial dual guidance for image dehazing, ECCV 2022.

[24] Man Zhou, Jie Huang, Chongyi Li, Hu Yu, Keyu Yu, Naishan Zheng, Feng Zhao, Adaptively learning low-high frequency information integration for pan-sharpening, ACM MM 2022.

[25] Syed Muhammad Israr, Feng Zhao*, Customizing GAN using few-shot sketches, ACM MM 2022.

[26] Naishan Zheng, Jie Huang, Qi Zhu, Man Zhou, Feng Zhao*, Zheng-Jun Zha, Enhancement by your aesthetic: An intelligible unsupervised personalized enhancer for low-light images, ACM MM 2022.

[27] Jie Huang, Man Zhou, Yajing Liu, Mingde Yao, Feng Zhao*, Zhiwei Xiong, Exposure-consistency representation learning for exposure correction, ACM MM 2022.

[28] Zehui Chen, Zhenyu Li, Shiquan Zhang, Liangji Fang, Qinhong Jiang, Feng Zhao*, Graph-DETR3D: Rethinking overlapping regions for multi-view 3D object detection, ACM MM 2022.

[29] Man Zhou, Jie Huang, Keyu Yan, Gang Yang, Aiping Liu, Chongyi Li, Feng Zhao*, Normalization-based feature selection and restitution for pan-sharpening, ACM MM 2022.

[30] Zizheng Yang, Mingde Yao, Jie Huang, Man Zhou, Feng Zhao*, SIR-Former: Stereo image restoration using transformer, ACM MM 2022.

[31] Hu Yu, Jie Huang, Yajing Liu, Qi Zhu, Man Zhou, Feng Zhao*, Source-free domain adaptation for real-world image dehazing, ACM MM 2022.

[32] Jinghao Zhang, Jie Huang, Mingde Yao, Man Zhou, Feng Zhao*, Structure- and texture-aware learning for low-light image enhancement, ACM MM 2022.

[33] Zehui Chen, Zhenyu Li, Shiquan Zhang, Liangji Fang, Qinhong Jiang, Feng Zhao*, Bolei Zhou, Hang Zhao, AutoAlign: Pixel-instance feature aggregation for multi-modal 3D object detection, IJCAI 2022.

[34] Hanting Li, Mingzhe Sui, Zhaoqing Zhu, Feng Zhao*, MMNet: Muscle motion-guided network for micro-expression recognition, IJCAI 2022.

[35] Jie Huang, Yajing Liu, Xueyang Fu, Man Zhou, Yang Wang, Feng Zhao*, Zhiwei Xiong, Exposure normalization and compensation for multiple exposure correction, CVPR 2022.

[36] Zizheng Yang, Xin Jin, Kecheng Zheng, Feng Zhao*, Unleashing potential of unsupervised pre-training with intra-identity regularization for person re-identification, CVPR 2022.

[37] Man Zhou, Keyu Yan, Jie Huang, Zihe Yang, Xueyang Fu, Feng Zhao, Mutual information-driven pan-sharpening, CVPR 2022.

[38] Yurui Zhu, Jie Huang, Xueyang Fu, Feng Zhao, Qibin Sun, Zheng-Jun Zha, Bijective mapping network for shadow removal, CVPR 2022. (Oral)

[39] Zehui Chen, Chenhongyi Yang, Qiaofei Li, Feng Zhao*, Zheng-Jun Zha, Feng Wu, Disentangle your dense object detector, ACM MM 2021. (Oral)