1.  新一代人工智能国家科技重大专项“多模态大模型的内生安全”课题“多模态大模型多维度跨模态可信可验证推理”子课题“多模态大模型对齐融合过程可信缺失根因溯源方法”，2025ZD0123701，2025.12-2028.11，主持

2.  国家自然科学基金青年基金：“面向复杂场景车辆轨迹预测的上下文感知与协同优化技术研究”，62406226，2025-2028，主持

3.  上海市关键技术研发计划“新一代信息技术”下一代前沿技术研究：“基于类脑启发的多脑区动态协同视频语义理解关键技术研究”，25511103500，2025.12.01-2026.11.30，主持

4.  上海市“科技创新行动计划”启明星计划扬帆专项: “面向文本视频检索的不确定性表征挖掘与多粒度自适应对齐技术研究”，24YF2748700，2024.12-2027.11，主持.

5.  同济大学自主原创项目：“基于图文多模态的车辆轨迹预测技术研究”，2024-2026，22120240326，主持

1.  新一代人工智能国家科技重大专项“多模态大模型的内生安全”课题“多模态大模型多维度跨模态可信可验证推理”子课题“多模态大模型对齐融合过程可信缺失根因溯源方法”，2025ZD0123701，2025.12-2028.11，主持

2.  国家自然科学基金青年基金：“面向复杂场景车辆轨迹预测的上下文感知与协同优化技术研究”，62406226，2025-2028，主持

3.  上海市关键技术研发计划“新一代信息技术”下一代前沿技术研究：“基于类脑启发的多脑区动态协同视频语义理解关键技术研究”，25511103500，2025.12.01-2026.11.30，主持

4.  上海市“科技创新行动计划”启明星计划扬帆专项: “面向文本视频检索的不确定性表征挖掘与多粒度自适应对齐技术研究”，24YF2748700，2024.12-2027.11，主持.

5.  同济大学自主原创项目：“基于图文多模态的车辆轨迹预测技术研究”，2024-2026，22120240326，主持

代表性论文

[1]. Hongli Liu, Yu Wang* and Shengjie Zhao*, “STAR:Semantic-Temporal Adaptive Representation Learning for Few-Shot ActionRecognition,” 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 andInter-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 withAnomaly-Connected Components and Intention Reasoning,” in Proceedings of theIEEE 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 ofthe IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2026.

[5]. Yu Wang*, FengxiaHan, and Jianyu Wang, “Boosting Noisy Correspondence Discrimination via DynamicNeighborhood Semantic Verification,” in Proceedings of AAAI Conference onArtificial 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 ActionLocalization,” IEEE Transactions on Multimedia, vol. 27, pp. 84-94, 2025. (中科院一区，CCF A类)

[8]. Yu Wang* andShiwei Chen, “Learning Event Completeness for Weakly Supervised Video AnomalyDetection,” 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,” inProceedings of the Neural Information Processing Systems (NeurIPS), 2025. (CCF A类)

[10]. Jiyong Rao, Brian NlongZhao, and Yu Wang*, “Probabilistic Prompt Distribution Learning forAnimal Pose Estimation,” in Proceedings of the IEEE Conference on ComputerVision and Pattern Recognition (CVPR), 2025, pp. 29438-29447. (CCF A类)

[11]. Yu Wang, Shengjie Zhao* and Shiwei Chen, “Action-SemanticConsistent Knowledge for Weakly-Supervised Action Localization,” IEEETransactions 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 withSpatio-Temporal Sequence Fusion,” IEEE Transactions onMultimedia, 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 withSemantic-Aware Mechanisms,” in Proceedings of the IEEE Conference on ComputerVision and Pattern Recognition (CVPR), 2023, pp. 18878-18887. (CCF A类)

[14]. Yu Wang, Shengjie Zhao*, Rongqing Zhang, XiangCheng and Liuqing Yang, “Multi-Vehicle Collaborative Learning for TrajectoryPrediction with Spatio-Temporal Tensor Fusion,” IEEETransactions on Intelligent Transportation Systems, vol. 23, no. 1, pp.236-248, 2022. (中科院一区)

AAAI 2026分会场主席（Session Chair）

上海市青年科技人才协会会员

长期担任以下国际顶级期刊和会议审稿人，并获得CVPR 2025杰出审稿人荣誉（OutstandingReviewers）：

IEEE Transactions onMultimedia

IEEE Transactions on Circuitsand Systems for Video Technology

IEEE Transactions onIntelligent Transportation Systems

IEEE Transactions on VehicularTechnology

IEEE Conference on ComputerVision and Pattern Recognition (CVPR)

IEEE International Conferenceon Computer Vision (ICCV)

International Conference onLearning Representations (ICLR)

Neural Information ProcessingSystems (NeurIPS)

Association for theAdvancement of Artificial Intelligence (AAAI)

ACM Multimedia (ACM MM)

European Conference onComputer Vision (ECCV)

Transactions on MachineLearning Research (TMLR)

IEEE International Conferenceon Acoustics, Speech, and Signal Processing (ICASSP)

IEEE International Conferenceon Multimedia and Expo (ICME)

British Machine VisionConference (BMVC)

International Conference onPattern Recognition (ICPR)

International Joint Conferenceon Neural Networks (IJCNN)

计算机学报

[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）

[13].   CVPR 2025杰出审稿人