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曾丹 博士，教授 |
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辦公室： |
上海大學(xué)寶山校區(qū)東區(qū)通信B樓（12號樓）509室 |
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通信地址(郵政編碼): |
上海市南陳路333號9999js金沙老品牌（200444） |
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電話： |
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電子郵件： |
dzeng@shu.edu.cn |
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曾丹，女，1982年生于湖南?，F(xiàn)任上海大學(xué)教授，通信工程系主任，國家級青年人才。 所屬一級學(xué)科為信息與通信工程、電子科學(xué)與技術(shù)。1999-2008年就讀于中國科學(xué)技術(shù)大學(xué)，分別于2003年和2008年獲碩士和博士學(xué)位。2015—2016年，獲得國家留學(xué)基金委資助，在美國德州大學(xué)圣安東尼奧分校從事研究工作。2021年入選教育部長江學(xué)者青年學(xué)者項目。2013年被評為上海大學(xué)優(yōu)秀青年教師、2013年被評為上海大學(xué)三八紅旗手等。 兼任《IEEE TRANSACTIONS ON MULTIMEDIA》編委、《IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY》編委、IEEE第24屆國際多媒體信號處理研討會程序委員會主席、IEEE多媒體系統(tǒng)及應(yīng)用技術(shù)委員會委員、IEEE多媒體信號處理專業(yè)委員會委員、IEEE高級會員、中國通信學(xué)會青工委委員、中國圖像圖形學(xué)學(xué)會青工委委員等；曾任中國計算機學(xué)會CTO CLUB（上海）副主席、IEEE第23屆國際多媒體信號處理研討會程序委員會主席等。獲 2 次上海市記 功（2021 年、2022 年）、中國圖象圖形學(xué)學(xué)會科技進步一等獎（2022 年，序 2）、上海市 教育系統(tǒng)巾幗建功標兵（2023 年）、中國產(chǎn)學(xué)研創(chuàng)新成果一等獎（2023 年，序 1）和中國人 工智能學(xué)會教學(xué)成果激勵計劃一等獎（2023 年，序 1）。 研究領(lǐng)域為計算機視覺、多媒體內(nèi)容分析和模式識別，重點從探索目標感知中的探測、檢測、識別與定位的新方法及新方案出發(fā)，解決復(fù)雜場景下低質(zhì)量目標實時智能感知及應(yīng)用中的關(guān)鍵技術(shù)難題。研究的復(fù)雜環(huán)境下目標增強、目標修復(fù)、目標被動關(guān)聯(lián)定位技術(shù)，解決了非合作小目標的檢測與識別問題；研制的高精度目標定位系統(tǒng)，解決了空間站機械臂手眼相機標定與小目標高精度實時定位問題，可輔助完成精細維修任務(wù)；面向國家電力及航空航天等領(lǐng)域重大需求，研究了時空頻三域聯(lián)合增強技術(shù)，提升微弱信號的檢測、定位與識別性能并應(yīng)用。 1. 教育經(jīng)歷： l
2003/9 - 2008/6，中國科學(xué)技術(shù)大學(xué)，電路與系統(tǒng)，工學(xué)博士 l
1999/9 - 2003/6，中國科學(xué)技術(shù)大學(xué)，電子科學(xué)與技術(shù)，理學(xué)學(xué)士
2. 工作經(jīng)歷： l
2008/7至今， 上海大學(xué)，9999js金沙老品牌，講師，副教授，教授 l
2015/1-2016/1，美國德州大學(xué)圣安東尼奧分校，計算機學(xué)院，國家留學(xué)基金委訪問學(xué)者 3.本科生教學(xué) l
本科生專業(yè)基礎(chǔ)課：電路與電子線路基礎(chǔ)2（模擬電子線路） l
本科生課程：網(wǎng)絡(luò)編程技術(shù)、計算機視覺基礎(chǔ)、多媒體技術(shù)與通信 l
每年招收畢業(yè)設(shè)計6名、優(yōu)秀本科生2-4名 4.研究生培養(yǎng) l
研究生課程：計算機視覺與模式識別、機器學(xué)習(xí) l 每年招收博士研究生、碩士研究生3-5名 5.近年主持的部分科研項目
[1] 國家自然科學(xué)基金面上項目，基于視覺知識學(xué)習(xí)的遙感圖像小樣本目標識別方法研究，2024/01-2027/12
[2] 浙江省“尖兵”“領(lǐng)雁”研發(fā)攻關(guān)計劃，多模大數(shù)據(jù)質(zhì)量高精度真?zhèn)螜z測與追溯的關(guān)鍵技術(shù)研究，2024/01-2026/12
[3] 國家部委研究項目，**探測與識別技術(shù)，2021.12-2023.12
[4] 華為技術(shù)有限公司，持續(xù)合作10期，2011至今
[5] 北京邁迪維斯，基于人工智能的臨床醫(yī)學(xué)影像的算法研究，2021/01-2021/12 6.近年發(fā)表的主要學(xué)術(shù)論文
[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 |
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Dan Zeng, Ph.D, Professor |
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Office： |
B509,
333 Nanchen Road, Shanghai University, Shanghai |
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Mail Address(Zip Code)： |
Box 83,
99 Shangda Road, Shanghai University, Shanghai
(200444) |
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Phone： |
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Email： |
dzeng@shu.edu.cn |
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URL： |
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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 |
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