Unsupervised Local Facial Attributes Transfer Using Dual Discriminative Adversarial Networks. - Yu Li; Maosen Li; Ya Zhang 002; Ying Wang (ICME, 2018)

Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition. - Maosen Li; Siheng Chen; Xu Chen 026; Ya Zhang 002; Yanfeng Wang 001; Qi Tian 001 (CVPR, 2019)

Inverse-Transform AutoEncoder for Anomaly Detection. - Chaoqing Huang; Jinkun Cao; Fei Ye; Maosen Li; Ya Zhang 002; Cewu Lu (CoRR, 2019)

Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction. - Maosen Li; Siheng Chen; Yangheng Zhao; Ya Zhang 002; Yanfeng Wang 001; Qi Tian 001 (CVPR, 2020)

Towards Transferable Targeted Attack. - Maosen Li; Cheng Deng; Tengjiao Li; Junchi Yan; Xinbo Gao 001; Heng Huang (CVPR, 2020)

Graph Cross Networks with Vertex Infomax Pooling. - Maosen Li; Siheng Chen; Ya Zhang 002; Ivor W. Tsang (NeurIPS, 2020)

Sampling and Recovery of Graph Signals based on Graph Neural Networks. - Siheng Chen; Maosen Li; Ya Zhang 002 (CoRR, 2020)

Incremental Embedding Learning via Zero-Shot Translation. - Kun Wei; Cheng Deng; Xu Yang 019; Maosen Li (AAAI, 2021)

Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation. - Chenxin Xu; Siheng Chen; Maosen Li; Ya Zhang 002 (AAAI, 2021)

Skeleton Graph Scattering Networks for 3D Skeleton-based Human Motion Prediction. - Maosen Li; Siheng Chen; Zihui Liu; Zijing Zhang; Lingxi Xie; Qi Tian 001; Ya Zhang 002 (ICCVW, 2021)

Online Multi-Agent Forecasting with Interpretable Collaborative Graph Neural Network. - Maosen Li; Siheng Chen; Yanning Shen; Genjia Liu; Ivor W. Tsang; Ya Zhang 002 (CoRR, 2021)

Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based Motion Prediction. - Maosen Li; Siheng Chen; Yangheng Zhao; Ya Zhang 002; Yanfeng Wang 001; Qi Tian 001 (IEEE Trans. Image Process., 2021)

Decoupled Variational Embedding for Signed Directed Networks. - Xu Chen 026; Jiangchao Yao; Maosen Li; Ya Zhang 002; Yanfeng Wang 001 (ACM Trans. Web, 2021)

Learning Universal Adversarial Perturbation by Adversarial Example. - Maosen Li; Yanhua Yang; Kun Wei; Xu Yang 019; Heng Huang (AAAI, 2022)

GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning. - Chenxin Xu; Maosen Li; Zhenyang Ni; Ya Zhang 002; Siheng Chen (CVPR, 2022)

Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction. - Maosen Li; Siheng Chen; Zijing Zhang; Lingxi Xie; Qi Tian 001; Ya Zhang 002 (ECCV (6), 2022)

Multiscale Graph Scattering Transform. - Genjia Liu; Maosen Li; Siheng Chen (EUSIPCO, 2022)

Liver-Buda-Sage: Simultaneous Whole Liver T2 and T*2 Mapping in one Breath-Hold. - Zijing Zhang; Huihui Ye; Maosen Li; Huafeng Liu; Berkin Bilgic (ISBI, 2022)

Symbiotic Graph Neural Networks for 3D Skeleton-Based Human Action Recognition and Motion Prediction. - Maosen Li; Siheng Chen; Xu Chen 026; Ya Zhang 002; Yanfeng Wang 001; Qi Tian 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Intensity-Modulated Polymer Optical Fiber-Based Refractive Index Sensor: A Review. - Chuanxin Teng; Rui Min; Jie Zheng; Shijie Deng; Maosen Li; Li Hou; Libo Yuan (Sensors, 2022)

Attribute Restoration Framework for Anomaly Detection. - Fei Ye; Chaoqin Huang; Jinkun Cao; Maosen Li; Ya Zhang 002; Cewu Lu (IEEE Trans. Multim., 2022)

Spatio-Temporal Catcher: A Self-Supervised Transformer for Deepfake Video Detection. - Maosen Li; Xurong Li; Kun Yu; Cheng Deng; Heng Huang; Feng Mao; Hui Xue 001; Minghao Li (ACM Multimedia, 2023)

Frequency domain regularization for iterative adversarial attacks. - Tengjiao Li; Maosen Li; Yanhua Yang; Cheng Deng (Pattern Recognit., 2023)

Efficient Spatio-Temporal Contrastive Learning for Skeleton-Based 3-D Action Recognition. - Xuehao Gao; Yang Yang 066; Yimeng Zhang; Maosen Li; Jin-Gang Yu; Shaoyi Du (IEEE Trans. Multim., 2023)

Interpreting Object-level Foundation Models via Visual Precision Search. - Ruoyu Chen 001; Siyuan Liang; Jingzhi Li 002; Shiming Liu; Maosen Li; Zheng Huang; Hua Zhang 008; Xiaochun Cao (CoRR, 2024)

Online Multi-Agent Forecasting With Interpretable Collaborative Graph Neural Networks. - Maosen Li; Siheng Chen; Yanning Shen; Genjia Liu; Ivor W. Tsang; Ya Zhang 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Interpreting Object-level Foundation Models via Visual Precision Search. - Ruoyu Chen 001; Siyuan Liang; Jingzhi Li 002; Shiming Liu; Maosen Li; Zhen Huang 006; Hua Zhang 008; Xiaochun Cao (CVPR, 2025)