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研究方向: 1.多模态视频理解与分析 2.多模态智能感知与计算 3.多模态大模型 办公室:best365中国官方网站(嘉定校区)济事楼408R 联系邮箱:csyuwang@tongji.edu.cn 个人主页:https://pkylin.github.io/ |
个人简介
汪昱,best365中国官方网站副教授,博士生导师,入选上海科技青年35人引领计划(上海35U35)、上海市启明星计划(扬帆专项)人才计划,长期专注于多模态视觉感知、理解与决策等领域,在多模态大模型、开放视觉感知、多模态视频理解与分析等前沿方向从事研究。近五年,在NeurIPS、ICML、CVPR、ICLR、AAAI、IEEE TMM、IEEE TCSVT等CCF A类/中科院一区国际顶级刊物上发表论文30余篇,申请/授权国家技术发明专利20余项。获2025年上海市科技进步二等奖,获人工智能国际顶级挑战赛8项冠军(包括CVPR 2026和CVPR 2025 六项、ACL 2026一项和ICDAR 2023一项)、2项亚军(CVPR 2026 两项)。长期担任包括CVPR、ICCV、ICLR、ICML、NeurIPS、ACM MM、ECCV、IEEE TMM、IEEE TCSVT、计算机学报、TMLR等国际顶级刊物的审稿人,也是CVPR 2025杰出审稿人。主持新一代人工智能国家科技重大专项子课题、国家自然科学基金青年基金、上海市“科技创新行动计划”启明星计划扬帆专项、上海市关键技术研发计划“新一代信息技术”项目。
欢迎对人工智能相关技术感兴趣的同学联系和报考!
代表性论文
[1] Hongli Liu, Yu Wang* and Shengjie Zhao*, “STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2026. (中科院一区)
[2] Yu Wang*, Shengjie Zhao, Jianyu Wang and Xutao Chu, “Learning Local Semantic Signals and Inter-class Discrepancy for Weakly Supervised Video Anomaly Detection,” IEEE Transactions on Multimedia, 2026. (中科院一区,CCF A类)
[3] Yu Wang* and Shengjie Zhao, “Weakly Supervised Video Anomaly Detection with Anomaly-Connected Components and Intention Reasoning,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2026. (CCF A类)
[4] Hongli Liu, Yu Wang*, and Shengjie Zhao*, “Unify the Views: View-Consistent Prototype Learning for Few-Shot Segmentation,” in Findings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2026.
[5] Yu Wang*, Fengxia Han, and Jianyu Wang, “Boosting Noisy Correspondence Discrimination via Dynamic Neighborhood Semantic Verification,” in Proceedings of AAAI Conference on Artificial Intelligence, 2026. (CCF A类)
[6] Jiyong Rao, Yu Wang*, and Shengjie Zhao*. “GenCape: Structure-Inductive Generative Modeling for Category-Agnostic Pose Estimation,” in Proceedings of International Conference on Learning Representations (ICLR), 2026. (CCF A类)
[7] Yu Wang*, Shengjie Zhao and Shiwei Chen, “SQL-Net: Semantic Query Learning for Point-Supervised Temporal Action Localization,” IEEE Transactions on Multimedia, vol. 27, pp. 84-94, 2025. (中科院一区,CCF A类)
[8] Yu Wang* and Shiwei Chen, “Learning Event Completeness for Weakly Supervised Video Anomaly Detection,” in Proceedings of the International Conference on Machine Learning (ICML), pp. 62505-62517, 2025. (CCF A类)
[9] Jianyu Wang, Yu Wang, Shengjie Zhao, and Sifan Zhou, “Point4Bit: Post Training 4-bit Quantization for Point Cloud 3D Detection,” in Proceedings of the Neural Information Processing Systems (NeurIPS), 2025. (CCF A类)
[10] Jiyong Rao, Brian Nlong Zhao, and Yu Wang*, “Probabilistic Prompt Distribution Learning for Animal Pose Estimation,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025, pp. 29438-29447. (CCF A类)
[11] Yu Wang, Shengjie Zhao* and Shiwei Chen, “Action-Semantic Consistent Knowledge for Weakly-Supervised Action Localization,” IEEE Transactions on Multimedia, vol. 26, pp. 10279-10289, 2024. (中科院一区,CCF A类)
[12] Yu Wang* and Shiwei Chen, “Multi-Agent Trajectory Prediction with Spatio-Temporal Sequence Fusion,” IEEE Transactions on Multimedia, vol. 25, pp. 13-23, 2023. (中科院一区,CCF A类)
[13] Yu Wang*, Yadong Li and Hongbin Wang, “Two-Stream Networks for Weakly-Supervised Temporal Action Localization with Semantic-Aware Mechanisms,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023, pp. 18878-18887. (CCF A类)
[14] Yu Wang, Shengjie Zhao*, Rongqing Zhang, Xiang Cheng and Liuqing Yang, “Multi-Vehicle Collaborative Learning for Trajectory Prediction with Spatio-Temporal Tensor Fusion,” IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 1, pp. 236-248, 2022. (中科院一区)
荣誉奖励
[1] 2025年上海科技青年35人引领计划
[2] 2025年上海市科技进步二等奖
[3] 2024年上海市启明星计划(扬帆专项)人才计划项目获得者
[4] 自然语言处理国际顶级挑战赛ACL 2026“游戏聊天日志中的有害行为意图识别与解析”挑战赛冠军(CCF A类挑战赛冠军)
[5] 计算机视觉国际顶级挑战赛CVPR 2026多模态航空遥感图像挑战赛“合成孔径雷达图像识别”赛道冠军(CCF A类挑战赛冠军)
[6] 计算机视觉国际顶级挑战赛CVPR 2026热图像超分辨率挑战赛“单模态图像超分辨率”赛道冠军(CCF A类挑战赛冠军)
[7] 计算机视觉国际顶级挑战赛CVPR 2026热图像超分辨率挑战赛“跨光谱图像超分辨率”赛道冠军(CCF A类挑战赛冠军)
[8] 计算机视觉国际顶级挑战赛CVPR 2026“红外热成像行人多目标跟踪”挑战赛亚军(CCF A类挑战赛亚军)
[9] 计算机视觉国际顶级挑战赛CVPR 2025多模态航空遥感图像挑战赛“合成孔径雷达图像识别”赛道冠军(CCF A类挑战赛冠军)
[10] 计算机视觉国际顶级挑战赛CVPR 2025热图像超分辨率挑战赛“单模态图像超分辨率”赛道冠军(CCF A类挑战赛冠军)
[11] 计算机视觉国际顶级挑战赛CVPR 2025热图像超分辨率挑战赛“跨光谱图像超分辨率”赛道冠军(CCF A类挑战赛冠军)
[12] 多模态国际顶级挑战赛 ICDAR 2023结构化文本提取挑战赛“端到端复杂实体链接”赛道冠军(CCF A类挑战赛冠军)