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)