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个人简介

学习工作经历 2019.03-至今: 复旦大学信息学院,青年研究员,博士生导师 2017.08-2019.02: 华为新加坡中央研究院, 高级研究员 2017.04-2017.07: 新加坡资讯通信研究院, 研究员II级 2013.05-2017.03:新加坡资讯通信研究院, 研究员I级 2013.01-2013.04: NTU智能机器人实验室, 副研究员 2008.08-2013.09: 新加坡南洋理工大学,博士 2006.09-2008.07: 浙江大学,硕士 2002.09-2006.07: 山东大学,本科 获奖情况 信息学院院长奖,2021 上海市特聘专家,2020 国家青年特聘专家,2018 新加坡科技局颁发无人驾驶特别杰出贡献奖(Special Outstanding Contribution) 2016 新加坡科技局颁发RIE2020科研创新贡献奖, 2014 IEEE 图像处理国际大会会议资助基金奖励 ,2011

研究领域

1)方向:主要是针对各类边缘设备和端侧机器视觉(Machine Vision)应用,包含2D和3D目标和场景识别、生成以及重建任务等,进行轻量化深度学习相关的人工智能研究,以及这些理论在面向工业化场景需求中的高效率、低功耗、强鲁棒性探索。实验室目前关于深度学习理论的几个主要方向包括:少样本、弱标签数据高效的深度学习,类脑通用场景知识理解,边缘智能模型架构设计以及模型压缩。 2)目标:课题组致力于解决国家和社会产业发展中的关键技术难题,力求从“0”到“1”的提出原创性人工智能解决方案,在攻克重大难题的同时培养课题组同学的人工智能理论和实战水平,并将相关成果发表在人工智能和计算机视觉顶级期刊和会议上(如:IEEE TPAMI/TIP/IJCV/CVPR/ICCV/ECCV等)。课题组之前的部分科研成果已经应用于华为、腾讯、中兴等国内龙头企业,部分已毕业同学或进入上述一线互联网企业工作,或进入全球Top30的大学和科研机构继续深造。

近期论文

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Once for Both:Single Stage of Importance and Sparsity Search for Vision Transformer Compression In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 Hancheng Ye, Chong Yu, Peng Ye, Renqiu Xia, Bo Zhang, Yansong Tang, Jiwen Lu, Tao Chen MADTP:Multimodal Alignment-Guided Dynamic Token Pruning for Accelerating Vision-Language Transformer In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 Jianjian Cao, Peng Ye, Shengze Li, Chong Yu, Yansong Tang, Jiwen Lu, Tao Chen LL3DA:Visual Interactive Instruction Tuning for Omni-3D Understanding, Reasoning, and Planning In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 Sijin Chen, Xin Chen, Chi Zhang, Mingsheng Li, Gang Yu, Hao Fei, Hongyuan Zhu, Jiayuan Fan, Tao Chen Push-and-Pull:A General Training Framework with Differential Augmentor for Domain Generalized Point Cloud Classification Published in IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2024 Jiahao Xu, Xinzhu Ma, Lin Zhang, Bo Zhang, Tao Chen See Through the Real World Haze Scenes:Navigating the Synthetic-to-Real Gap in Challenging Image Dehazing In Proc. International Conference on Robotics and Automation (ICRA), 2024 Shijie Chen, Mohammad Mahdizadeh, Chong Yu, Jiayuan Fan, Tao Chen ReSimAD:Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation In Proc. International Conference on Learning Representations (ICLR), 2024 Bo Zhang, Xinyu Cai, Jiakang Yuan, Donglin Yang, Jianfei Guo, Xiangchao Yan, Renqiu Xia, Botian Shi, Min Dou, Tao Chen, Si Liu, Junchi Yan, Yu Qiao Multi-view Vision-Prompt Fusion Network:Can 2D Pre-trained Model Boost 3D Point Cloud Data-scarce Learning? Published in IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2023 Haoyang Peng, Baopu Li, Bo Zhang, Xin Chen, Tao Chen, Hongyuan Zhu Boosting Residual Networks with Group Knowledge In Proc. International Conference on Learning Representations (AAAI), 2023 Shengji Tang, Peng Ye, Baopu Li, Weihao Lin, Tao Chen, Tong He, Chong Yu, Wanli Ouyang Pm-INR:Prior-rich Multi-modal Implicit Large-scale Scene Neural Representation In Proc. AAAI Conference on Artificial Intelligence (AAAI), 2023 Yiying Yang, Fukun Yin, Wen Liu, Jiayuan Fan, Xin Chen, Gang Yu, Tao Chen MotionGPT:Human Motion as a Foreign Language In Proc. Conference on Neural Information Processing Systems (NeurIPS), 2023 Biao Jiang, Xin Chen, Wen Liu, Jingyi Yu, Gang YU, Tao Chen PDF:Point Diffusion Implicit Function for Large-scale Scene Neural Representation In Proc. Conference on Neural Information Processing Systems (NeurIPS), 2023 Yuhan Ding, Fukun Yin, Jiayuan Fan, Hui Li, Xin Chen, Wen Liu, Chongshan Lu, Gang YU, Tao Chen Conditional 3D Shape Generation with Shape-Image-Text aligned Representation In Proc. Conference on Neural Information Processing Systems (NeurIPS), 2023 Zibo Zhao, Wen Liu, Xin Chen, Xianfang Zeng, Rui Wang, Pei Cheng, BIN FU, Tao Chen, Gang YU, Shenghua Gao AD-PT:Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset In Proc. Conference on Neural Information Processing Systems (NeurIPS), 2023 Jiakang Yuan, Bo Zhang, Xiangchao Yan, Botian Shi, Tao Chen, Yikang LI, Yu Qiao DeNKD:Decoupled non-target Knowledge Distillation for Complementing Transformer-based Unsupervised Domain Adaptation Published in IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2023 Zhen Mei*, Peng Ye*, Baopu Li, Tao Chen, JiaYuan Fan and Wanli Ouyang Rethinking Cross-Domain Pedestrian Detection:ABackground-Focused Distribution AlignmentFramework for One-Stage Detectors Published in IEEE Transactions on Image Processing (TIP), 2023 Yancheng Cai, Bo Zhang, Baopu Li, Tao Chen, Hongliang Yan, Jingdong Zhang, Jiahao Xu Rethinking Pseudo-Label-Based Unsupervised Person Re-ID with Hierarchical Prototype-based Graph In Proc. ACM Conference on Multimedia (ACM MM), 2023 Ben Sha, Baopu Li, Tao Chen, Jiayuan Fan, Tao Sheng A Large-Scale Outdoor Multi-modal Dataset and Benchmark for Novel View Synthesis and Implicit Scene Reconstruction In Proc. IEEE International Conference on Computer Vision (ICCV), 2023 Chongshan Lu, Fukun Yin, Xin Chen, Wen Liu, Tao Chen, Gang Yu, Jiayuan Fan Robust Geometry-Preserving Depth Estimation Using Differentiable Rendering In Proc. IEEE International Conference on Computer Vision (ICCV), 2023 Chi Zhang, Wei Yin, Gang Yu, zhibin wang, Tao Chen, Bin Fu, Joey Tianyi Zhou, Chunhua Shen Boost Transformer-based Language Models with GPU-Friendly Sparsity and Quantization In Proc. Annual Meeting of the Association for Computational Linguistics (ACL), 2023 Chong Yu, Tao Chen, Zhongxue Gan Adversarial Amendment is the Only Force Capable of Transforming an Enemy into a Friend In Proc. International Joint Conference on Artificial Intelligence (IJCAI), 2023 Chong Yu, Tao Chen, Zhongxue Gan Automatic Loss Function Search for Adversarial Unsupervised Domain Adaptation Published in IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2023 Zhen Mei, Peng Ye, Hancheng Ye, Baopu Li, Jinyang Guo, T. Chen, and Wanli Ouyang Hyperspectral lmage Classification Using Spectral-Spatial Token Enhanced Transformer With Hash-Based Positional Embedding Published in IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023 Ke Wu, Jiayuan Fan, Peng Ye, and Mingzhen Zhu Performance aware Approximation of Global Channel Pruning for Multitask CNNs Published in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2023 H. Ye, B. Zhang, T. Chen, J. Fan, B. Wang Boost Vision Transformer with GPU-Friendly Sparsity and Quantization In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 Chong Yu, Tao Chen, Jiayuan Fan, Zhongxue Gan Uni3D:A Unified Baseline for Multi-dataset 3D Object Detection In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 Bo Zhang, Jiakang Yuan, Botian Shi, Tao Chen, Yikang LI, Yu Qiao Bi3D:Bi-domain Active Learning for Cross-domain 3D Object Detection In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 Jiakang Yuan, Bo Zhang, Xiangchao Yan, Tao Chen, Botian Shi, Yikang LI, Yu Qiao Executing your Commands via Motion Diffusion in Latent Space In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 Xin Chen, Biao Jiang, Wen Liu, Zilong Huang, Bin Fu, Tao Chen, Jingyi Yu, Gang YU End-to-End 3D Dense Captioning with Vote2Cap-DETR In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 Sijin Chen, Hongyuan Zhu, Xin Chen, Yinjie Lei, Tao Chen, Gang YU DCNet:Large-scale Point Cloud Semantic Segmentation with Discriminative and Efficient Feature Aggregation Published in IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2023 F. Yin, Z. Huang, T. Chen, G. Luo, G. Yu, B. Fu A Closer Look at Few-Shot 3D Point Cloud Classification Published in International Journal of Computer Vision, 2022 Chuangguan Ye, Hongyuan Zhu, Bo Zhang, Tao Chen Exploring Kernel-based Texture Transfer for Pose-guided Person Image Generation Published in IEEE Transactions on Multimedia, 2022 J. Chen, J. Fan, H. Ye, J. Li, Y. Liao, T. Chen Stimulative Training of Residual Networks:A Social Psychology Perspective of Loafing In Proc. Conference on Neural Information Processing Systems (NeurIPS), 2022 P. Ye, S. Tang, B. Li, T. Chen, W. Ouyang Coordinates Are NOT Lonely–Codebook Prior Helps Implicit Neural 3D Representations In Proc. Conference on Neural Information Processing Systems (NeurIPS), 2022 Fukun Yin, Wen Liu, Zilong Huang, Pei Cheng, Tao Chen, Gang YU Efficient Joint-Dimensional Search with Solution Space Regularization for Real-Time Semantic Segmentation Published in International Journal of Computer Vision, 2022 Peng Ye, Baopu Li, Tao Chen, Jiayuan Fan, Zhen Mei, Chen Lin, Chongyan Zuo, Qinghua Chi, Wanli Ouyang An Efficient Multi-task Network for Pedestrian Intrusion Detection Published in IEEE Transactions on Intelligent Vehicles, 2022 henyu Shi, Shibo He, Jingchen Sun, Tao Chen, Jiming Chen, Hairong Dong Sample-centric Feature Generation for Semi-supervised Few-shot Learning Published in IEEE Transactions on Image Processing, 2022 B. Zhang, C. Ye, G. Yu, B. Wang, Y. Wu, J. Fan, and T. Chen Generalized Global Ranking-Aware Neural Architecture Ranker for Efficient Image Classifier Search In Proc. ACM MM, 2022 Bicheng Guo, Tao Chen, Shibo He, Haoyu Liu, Lilin Xu, Peng Ye, Jiming Chen Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification In Proc. ACM MM, 2022 B. Zhang, J. Yuan, B. Li, T. Chen, J. Fan, B. Shi Beta-decay regularization for differentiable architecture search In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR oral), 2022 P. Ye, B. Li, Y. Li, T. Chen, J. Fan, W. Ouyang TopFormer:Token Pyramid Transformer for Mobile Semantic Segmentation In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 W. Zhang, Z. Huang, G. Luo, T. Chen, X. Wang, W. Liu, G. Yu, C. Shen What Makes for Effective Few-shot Point Cloud Classification In Proc. IEEE Winter Conference on Applications of Computer Vision (WACV), 2022 C. Ye, H. Zhu, Y. Liao, Y. Zhang, T. Chen, J. Fan. Point Cloud Instance Segmentation with Semi-supervised Bounding-Box Mining Published in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 Y. Liao, H. zhu, Y. Zhang, C. Ye, T. Chen, J. Fan SC-EADNet:A Self-supervised Contrastive Efficient Asymmetric Dilated Network for Hyperspectral Image Classification Published in IEEE Transactions on Geoscience and Remote Sensing, 2021 M. Zhu, J. Fan, Q. Yang, T. Chen Curriculum-style Local-to-global Adaptation for Cross-domain Remote Sensing Image Segmentation Published in IEEE Transactions on Geoscience and Remote Sensing, 2021 B. Zhang, T. Chen, B. Wang Joint Distribution Alignment via Adversarial Learning for Domain Adaptive Object Detection Published in IEEE Transactions on Multimedia, 2021 B. Zhang, T. Chen, B. Wang, R. Li Densely Semantic Enhancement for Domain Adaptive Region-free Detectors Published in IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2021 B. Zhang, T. Chen, X. F. Wu, L. M. Zhang, J. Fan Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification In Proc. ACM MM, 2021 Y. Wu, B. Zhang, G. Yu, W. Zhang, B. Wang, T. Chen, J. Fan HSEGAN:Hair Synthesis and Editing using Structure-Adaptive Normalization on Generative Adversarial Network In Proc. IEEE International Conference on Image Processing (ICIP), 2021 W. Fan, J. Fan, G. Yu, B. Fu, T. Chen SPCR:Semi-supervised point cloud instance segmentation with perturbation consistency regularization In Proc. IEEE International Conference on Image Processing (ICIP), 2021 Y. Liao, H. Zhu, T. Chen, J. Fan EADNET:Efficient Asymmetric Dilated Network For Semantic Segmentation In Proc. IEEE ICASSP, 2021 Q. Yang, T. Chen, J. Fan, Y. Lu, C. Zuo, Q. Chi Coarse-to-Fine Gaze Redirection with Numerical and Pictorial Guidance In Proc. IEEE Winter Conference on Applications of Computer Vision (WACV), 2021 J. Chen, J. Zhang, E. Sangineto, T. Chen, F. Jia, N. Cebe M3Lung-Sys:A Deep Learning System for Multi-Class Lung Pneumonia Screening from CT Imaging Published in IEEE Journal of Biomedical and Health Informatics (JBHI), 2020 X. Qian, H. Fu, W. Shi, T. Chen, Y. Fu, F. Shan, X. Xue A Bottom-Up Approach for Robust Spotting of Texts in Scenes Published in Journal of Visual Communication and Image Representation (JVCIR), 2020 J. Fan, T. Chen, F. Zhou Fine-Grained Facial Expression Analysis Using Dimensional Emotion Model Published in Neurocomputing, 2020 F. Zhou, S. Kong, C. C. Fowlkes, T. Chen, B. Lei PIDNet:An Efficient Network for Dynamic Pedestrian Intrusion Detection In Proc. ACM Conference on Multimedia (ACM MM), 2020 J. Sun, J. Chen, T. Chen, J. Fan, S. He Cascade EF-GAN:Progressive Facial Expression Editing with Local Focuses In Proc. IEEE Internatonal Conference on Computer Vision and Pattern Recognition (CVPR, Oral), 2020 R. Wu, G. Zhang, S. Lu, T. Chen SS-HCNN:Semi-Supervised Hierarchical Convolutional Neural Network for Image Classification Published in IEEE Transactions on Image Processing (T-IP), 2019 T. Chen, S. Lu, J.Fan* Comp-GAN:Compositional Generative Adversarial Network in Synthesizing and Recognizing Facial Expression In Proc. ACM International Conference on Multimedia (ACM MM), 2019 W. Wang, Q. Sun, Y.Fu, T. Chen, C. Cao, Z. Zheng, G. Xu, H. Qiu, Y. Jiang and X. Xue

学术兼职

上海市图像图形学会 理事 中国图象图形学会视觉大数据专委会委员 中国图象图形学会青年工作委员会执行委员 中国计算机学会多媒体专委会执行委员 中国自动化学会工业物联网专委会执行委员 IEEE Senior Member VALSE (视觉与学习青年研讨会), SAC Jounal of Aritificial Intelligence and Systems , Editorial Board Member, 2019-2021 Mathematical Problems in Engineering Guest Editor, 2015 ICSP 2016 Session Chair

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