English

曾丹 博士，教授

办公室：

威廉williamhill体育宝山校区东区通信B楼（12号楼）509室

通信地址(邮政编码):

上海市南陈路333号威廉希尔（200444）

电话：

电子邮件：

dzeng@shu.edu.cn

个人主页：

/Prof/zengdan.htm

曾丹，女，1982年生于湖南。现任威廉williamhill体育教授，通信工程系主任，国家级青年人才。

所属一级学科为信息与通信工程、电子科学与技术。1999-2008年就读于中国科学技术大学，分别于2003年和2008年获硕士和博士学位。2015—2016年，获得国家留学基金委资助，在美国德州大学圣安东尼奥分校从事研究工作。2021年入选教育部长江学者青年学者项目。2013年被评为威廉williamhill体育优秀青年教师、2013年被评为威廉williamhill体育三八红旗手等。

兼任《IEEE TRANSACTIONS ON MULTIMEDIA》编委、《IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY》编委、IEEE第24届国际多媒体信号处理研讨会程序委员会主席、IEEE多媒体系统及应用技术委员会委员、IEEE多媒体信号处理专业委员会委员、IEEE高级会员、中国通信学会青工委委员、中国图像图形学学会青工委委员等；曾任中国计算机学会CTO CLUB（上海）副主席、IEEE第23届国际多媒体信号处理研讨会程序委员会主席等。获 2 次上海市记 功（2021 年、2022 年）、中国图象图形学学会科技进步一等奖（2022 年，序 2）、上海市 教育系统巾帼建功标兵（2023 年）、中国产学研创新成果一等奖（2023 年，序 1）和中国人 工智能学会教学成果激励计划一等奖（2023 年，序 1）。

研究领域为计算机视觉、多媒体内容分析和模式识别，重点从探索目标感知中的探测、检测、识别与定位的新方法及新方案出发，解决复杂场景下低质量目标实时智能感知及应用中的关键技术难题。研究的复杂环境下目标增强、目标修复、目标被动关联定位技术，解决了非合作小目标的检测与识别问题；研制的高精度目标定位系统，解决了空间站机械臂手眼相机标定与小目标高精度实时定位问题，可辅助完成精细维修任务；面向国家电力及航空航天等领域重大需求，研究了时空频三域联合增强技术，提升微弱信号的检测、定位与识别性能并应用。  

1. 教育经历：

l  2003/9 - 2008/6，中国科学技术大学，电路与系统，工学博士

l  1999/9 - 2003/6，中国科学技术大学，电子科学与技术，理学学士           

2. 工作经历：

l  2008/7至今，  威廉williamhill体育，威廉williamhill体育，讲师，副教授，教授

l  2015/1-2016/1，美国德州大学圣安东尼奥分校，计算机学院，国家留学基金委访问学者

3.本科生教学

l  本科生专业基础课：电路与电子线路基础2（模拟电子线路）

l  本科生课程：网络编程技术、计算机视觉基础、多媒体技术与通信

l  每年招收毕业设计6名、优秀本科生2-4名

4.公司产品

l  研究生课程：计算机视觉与模式识别、机器学习

l  每年招收博士研究生、硕士研究生3-5名

5.近年主持的部分科研项目

    [1] 国家自然科学基金面上项目，基于视觉知识学习的遥感图像小样本目标识别方法研究，2024/01-2027/12

    [2] 浙江省“尖兵”“领雁”研发攻关计划，多模大数据质量高精度真伪检测与追溯的关键技术研究，2024/01-2026/12

    [3] 国家部委研究项目，**探测与识别技术，2021.12-2023.12

    [4] 华为技术有限公司，持续合作10期，2011至今

    [5] 北京迈迪维斯，基于人工智能的临床医学影像的算法研究，2021/01-2021/12

6.近年发表的主要学术论文

    [1] Weiyi Lv, Yuhang Huang, Ning Zhang, Ruei-Sung Lin, Mei Han, Dan Zeng: DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction. CVPR 2024: 19321-19330.

    [2] Hansong Zhang, Shikun Li, Pengju Wang, Dan Zeng, Shiming Ge: M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy. AAAI 2024: 9314-9322

    [3] Junjie Zhang, Tianci Hu, Xiaoshui Huang, Yongshun Gong, Dan Zeng: 3DBench: A Scalable 3D Benchmark and Instruction-Tuning Dataset. IJCAI 2024.

    [4] Hansong Zhang, Shikun Li, Dan Zeng, Chenggang Yan, Shiming Ge: Coupled Confusion Correction: Learning from Crowds with Sparse Annotations. AAAI 2024: 16732-16740

    [5] Kangkai Zhang, Shiming Ge, Ruixin Shi, Dan Zeng: Low-Resolution Object Recognition With Cross-Resolution Relational Contrastive Distillation. IEEE Trans. Circuits Syst. Video Technol. (TCSVT) 34(4): 2374-2384 (2024)

    [6] Junjie Zhang, Qiming Zhang, Yongshun Gong, Jian Zhang, Liang Chen, Dan Zeng: Weakly Supervised Semantic Segmentation With Consistency-Constrained Multiclass Attention for Remote Sensing Scenes. IEEE Trans. Geosci. Remote. Sens. (TGRS) 62: 1-18 (2024)

    [7] Fanzhao Lin, Kexin Bao, Yong Li, Dan Zeng, Shiming Ge: Learning Contrast-Enhanced Shape-Biased Representations for Infrared Small Target Detection. IEEE Trans. Image Process. (TIP) 33: 3047-3058 (2024)

    [8] Yanliang Jin, Ze-Yu Ji, Dan Zeng, Xiao-Ping (Steven) Zhang: VWP:An Efficient DRL-Based Autonomous Driving Model. IEEE Trans. Multim. (TMM) 26: 2096-2108 (2024)

    [9] Junjie Zhang, Mingyan Wang, Haoran Jiang, Xinyu Zhang, Chenggang Yan, Dan Zeng: STAT: Multi-Object Tracking Based on Spatio-Temporal Topological Constraints. IEEE Trans. Multim. (TMM) 26: 4445-4457 (2024)

 [10] Fanzhao Lin, Shiming Ge, Kexin Bao, Chenggang Yan, Dan Zeng: Learning Shape-Biased Representations for Infrared Small Target Detection. IEEE Trans. Multim. (TMM) 26: 4681-4692 (2024)

 [11] Junjie Zhang, Yutao Rao, Xiaoshui Huang, Guanyi Li, Xin Zhou, Dan Zeng: Frequency-Aware Multi-Modal Fine-Tuning for Few-Shot Open-Set Remote Sensing Scene Classification. IEEE Trans. Multim. (TMM) 26: 7823-7837 (2024)

 [12] Guanyi Li, Junjie Zhang, Enquan Yang, Haoran Jiang, Dan Zeng: Multi-level Information Fusion Network with Edge Information Injection for Single-band Cloud Detection. IEEE Trans. Circuits Syst. Video Technol. (TCSVT) (2024)

 [13] Xiao Wang, Yuhang Huang, Dan Zeng, Guo-Jun Qi: CaCo: Both Positive and Negative Samples are Directly Learnable via Cooperative-Adversarial Contrastive Learning. IEEE Trans. Pattern Anal. Mach. Intell. (TPAMI) 45(9): 10718-10730 (2023)

 [14] Gongyang Li, Yike Wang, Zhi Liu, Xinpeng Zhang, Dan Zeng: RGB-T Semantic Segmentation With Location, Activation, and Sharpening. IEEE Trans. Circuits Syst. Video Technol. (TCSVT) 33(3): 1223-1235 (2023)

 [15] Gongyang Li, Zhi Liu, Dan Zeng, Weisi Lin, Haibin Ling: Adjacent Context Coordination Network for Salient Object Detection in Optical Remote Sensing Images. IEEE Trans. Cybern. 53(1): 526-538 (2023)

 [16] Jia Li, Junjie Zhang, Jungong Han, Chenggang Yan, Dan Zeng: Progressive Recurrent Neural Network for Multispectral Remote Sensing Image Destriping. IEEE Trans. Geosci. Remote. Sens. (TGRS) 61: 1-18 (2023)

 [17] Shiming Ge, Bochao Liu, Pengju Wang, Yong Li, Dan Zeng: Learning Privacy-Preserving Student Networks via Discriminative-Generative Distillation. IEEE Trans. Image Process. 32: 116-127 (2023)

 [18] Shikun Li, Tongliang Liu, Jiyong Tan, Dan Zeng, Shiming Ge: Trustable Co-Label Learning From Multiple Noisy Annotators. IEEE Trans. Multim. 25: 1045-1057 (2023)

 [19] Yingjie Song, Zhi Liu, Gongyang Li, Dan Zeng, Tianhong Zhang, Lihua Xu, Jijun Wang: RINet: Relative Importance-Aware Network for Fixation Prediction. IEEE Trans. Multim. (TMM) 25: 9263-9277 (2023)

[20] Qichao Ying, Xiaoxiao Hu, Yangming Zhou, Zhenxing Qian, Dan Zeng, Shiming Ge: Bootstrapping Multi-View Representations for Fake News Detection. AAAI 2023: 5384-5392  

中 文

Dan Zeng, Ph.D, Professor

Office：

B509, 333 Nanchen Road, Shanghai University, Shanghai

Mail Address(Zip Code)：

Box 83, 99 Shangda Road, Shanghai University, Shanghai (200444)

Phone：

Email：

dzeng@shu.edu.cn

URL：

/Prof/zengdan.htm

Dan Zeng received her Ph.D. degree in circuits and systems, and her B.S. degree in electronic science and technology, both from University of Science and Technology of China, Hefei. She is a full professor and the Dean of the Department of Communication Engineering and the Computer Vision and Pattern Recognition Lab at Shanghai University. Her main research interests include computer vision, multimedia analysis, and machine learning. She is serving as the Associate Editor of the IEEE Transactions on Multimedia, the Associate Editor of the IEEE Transactions on Circuits and Systems for Video Technology, the TC Member of IEEE MSA and TC member of IEEE MMSP.

She has published over 70 papers in top journals (e.g., TPAMI, TIP, TGRS, TMM, TCSVT, and TNNLS) and prestigious conferences (e.g., CVPR, ICCV, ECCV, IJCAI, AAAI, and ACM MM). She received several awards, including MMTC Best Journal Paper Award  2023, S&T Progress Award of the China Society of Image and Graphics 2022, China Industry-University-Research Collaboration Innovation Award 2023, and outstanding service award for IEEE ICME 2019.

1. Education：

2003 - 2008    PhD, Circuits and System, School of Circuits and Systems,  University of Science and Technology of China, China.

2004 - 2008    BSc, Electronic Science and Technology, School of Electronic Science and Technology, University of Science and Technology of China, China.        

2. Experience：

2008 - Current   Lecturer/Associate Professor/Professor, Department of Communication Engineering, Shanghai University, China.

2015 - 2016     Visiting Scholar, Department of Computer Science, University of Texas at San Antonio, United States.  Advisor: Dr. Qi Tian, IEEE Fellow, BSc Tsinghua University, PhD UIUC.

3.Undergraduate Teaching

Core Courses for Undergraduates: Fundamentals of Circuits and Electronic Circuits 2 (Analog Electronic Circuits)

Undergraduate Courses: Network Programming Technology, Fundamentals of Computer Vision, Multimedia Technology and Communication

Supervision of 6 students for their graduation projects annually, and 2-4 outstanding undergraduates

4.Graduate Supervision

Graduate Courses: Computer Vision and Pattern Recognition, Machine Learning

Supervision of 3-5 PhD and Master's students annually

5.Selected Projects

[1]  2024 - 2027 PI. “Research on Small Sample Target Recognition Method for Remote Sensing Images Based on Visual Knowledge Learning.” National Natural Science Foundation of China.

[2]  2024 - 2026 PI. “Research on Key Technologies for High-Precision Authenticity Detection and Tracing of Multi-modal Big Data Quality.” Zhejiang Provincial Science and Technology Department.

[3]  2021 - 2023 PI. “*** Detection and Recognition Technology.” National Ministry Research Project.

[4]  2018 - 2020 PI. “Development of *** Detection Algorithms and Software.” National Key R&D Program.

[5]  2016 - 2019 PI. "Study on three-dimensional spherical Mosaic of geostationary meteorological satellite multi-source remote sensing images." Natural Science Foundation of China.

[6]  2019 - 2020 PI. “*** Recognition ***” Ministry Pre-Research Project.

[7]  2019 - 2020 PI. “*** Learning***” Ministry Pre-Research Project.

[8]  2014 - 2022 PI. “Research on key technologies of MBB innovation platform.” Huawei Technology Co., Ltd.

[9]  2021 - 2022 PI. “Research on Intelligent Environment Recognition and Detector Data Preprocessing.” Confidential Institute.

[10] 2021/01 - 2021/12 PI. “Research on AI-Based Algorithms for Clinical Medical Imaging.” Beijing MediWise.

[11] 2018 - 2019 PI. “Research on the enhancement, detection and recognition of moving objects in complex background.” Confidential Institute.

[12] 2014 - 2016 PI. “Research on image mosaics of non-limited scene under sparse sampling.” National Natural Science Foundation of China.

6.Selected Publications

    [1] Weiyi Lv, Yuhang Huang, Ning Zhang, Ruei-Sung Lin, Mei Han, Dan Zeng: DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction. CVPR 2024: 19321-19330.

    [2] Hansong Zhang, Shikun Li, Pengju Wang, Dan Zeng, Shiming Ge: M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy. AAAI 2024: 9314-9322

    [3] Junjie Zhang, Tianci Hu, Xiaoshui Huang, Yongshun Gong, Dan Zeng: 3DBench: A Scalable 3D Benchmark and Instruction-Tuning Dataset. IJCAI 2024.

    [4] Hansong Zhang, Shikun Li, Dan Zeng, Chenggang Yan, Shiming Ge: Coupled Confusion Correction: Learning from Crowds with Sparse Annotations. AAAI 2024: 16732-16740

    [5] Kangkai Zhang, Shiming Ge, Ruixin Shi, Dan Zeng: Low-Resolution Object Recognition With Cross-Resolution Relational Contrastive Distillation. IEEE Trans. Circuits Syst. Video Technol. (TCSVT) 34(4): 2374-2384 (2024)

    [6] Junjie Zhang, Qiming Zhang, Yongshun Gong, Jian Zhang, Liang Chen, Dan Zeng: Weakly Supervised Semantic Segmentation With Consistency-Constrained Multiclass Attention for Remote Sensing Scenes. IEEE Trans. Geosci. Remote. Sens. (TGRS) 62: 1-18 (2024)

    [7] Fanzhao Lin, Kexin Bao, Yong Li, Dan Zeng, Shiming Ge: Learning Contrast-Enhanced Shape-Biased Representations for Infrared Small Target Detection. IEEE Trans. Image Process. (TIP) 33: 3047-3058 (2024)

    [8] Yanliang Jin, Ze-Yu Ji, Dan Zeng, Xiao-Ping (Steven) Zhang: VWP:An Efficient DRL-Based Autonomous Driving Model. IEEE Trans. Multim. (TMM) 26: 2096-2108 (2024)

    [9] Junjie Zhang, Mingyan Wang, Haoran Jiang, Xinyu Zhang, Chenggang Yan, Dan Zeng: STAT: Multi-Object Tracking Based on Spatio-Temporal Topological Constraints. IEEE Trans. Multim. (TMM) 26: 4445-4457 (2024)

 [10] Fanzhao Lin, Shiming Ge, Kexin Bao, Chenggang Yan, Dan Zeng: Learning Shape-Biased Representations for Infrared Small Target Detection. IEEE Trans. Multim. (TMM) 26: 4681-4692 (2024)

 [11] Junjie Zhang, Yutao Rao, Xiaoshui Huang, Guanyi Li, Xin Zhou, Dan Zeng: Frequency-Aware Multi-Modal Fine-Tuning for Few-Shot Open-Set Remote Sensing Scene Classification. IEEE Trans. Multim. (TMM) 26: 7823-7837 (2024)

 [12] Guanyi Li, Junjie Zhang, Enquan Yang, Haoran Jiang, Dan Zeng: Multi-level Information Fusion Network with Edge Information Injection for Single-band Cloud Detection. IEEE Trans. Circuits Syst. Video Technol. (TCSVT) (2024)

 [13] Xiao Wang, Yuhang Huang, Dan Zeng, Guo-Jun Qi: CaCo: Both Positive and Negative Samples are Directly Learnable via Cooperative-Adversarial Contrastive Learning. IEEE Trans. Pattern Anal. Mach. Intell. (TPAMI) 45(9): 10718-10730 (2023)

 [14] Gongyang Li, Yike Wang, Zhi Liu, Xinpeng Zhang, Dan Zeng: RGB-T Semantic Segmentation With Location, Activation, and Sharpening. IEEE Trans. Circuits Syst. Video Technol. (TCSVT) 33(3): 1223-1235 (2023)

 [15] Gongyang Li, Zhi Liu, Dan Zeng, Weisi Lin, Haibin Ling: Adjacent Context Coordination Network for Salient Object Detection in Optical Remote Sensing Images. IEEE Trans. Cybern. 53(1): 526-538 (2023)

 [16] Jia Li, Junjie Zhang, Jungong Han, Chenggang Yan, Dan Zeng: Progressive Recurrent Neural Network for Multispectral Remote Sensing Image Destriping. IEEE Trans. Geosci. Remote. Sens. (TGRS) 61: 1-18 (2023)

 [17] Shiming Ge, Bochao Liu, Pengju Wang, Yong Li, Dan Zeng: Learning Privacy-Preserving Student Networks via Discriminative-Generative Distillation. IEEE Trans. Image Process. 32: 116-127 (2023)

 [18] Shikun Li, Tongliang Liu, Jiyong Tan, Dan Zeng, Shiming Ge: Trustable Co-Label Learning From Multiple Noisy Annotators. IEEE Trans. Multim. 25: 1045-1057 (2023)

 [19] Yingjie Song, Zhi Liu, Gongyang Li, Dan Zeng, Tianhong Zhang, Lihua Xu, Jijun Wang: RINet: Relative Importance-Aware Network for Fixation Prediction. IEEE Trans. Multim. (TMM) 25: 9263-9277 (2023)

 [20] Qichao Ying, Xiaoxiao Hu, Yangming Zhou, Zhenxing Qian, Dan Zeng, Shiming Ge: Bootstrapping Multi-View Representations for Fake News Detection. AAAI 2023: 5384-5392