Saliency and Tracking based Semi-supervised Learning for Orbiting Satellite Segmentation. - Peizhuo Li; Yunda Sun; Xue Wan (ICVIP, 2019)

Saliency based Semi-supervised Learning for Orbiting Satellite Tracking. - Peizhuo Li; Yunda Sun; Xue Wan (CoRR, 2019)

Segmentation-based orbiting satellite tracking. - Yunda Sun; Peizhuo Li; Xue Wan (ICMIP, 2020)

Skeleton-aware networks for deep motion retargeting. - Kfir Aberman; Peizhuo Li; Dani Lischinski; Olga Sorkine-Hornung; Daniel Cohen-Or; Baoquan Chen (ACM Trans. Graph., 2020)

Learning skeletal articulations with neural blend shapes. - Peizhuo Li; Kfir Aberman; Rana Hanocka; Libin Liu 002; Olga Sorkine-Hornung; Baoquan Chen (ACM Trans. Graph., 2021)

GANimator: neural motion synthesis from a single sequence. - Peizhuo Li; Kfir Aberman; Zihan Zhang; Rana Hanocka; Olga Sorkine-Hornung (ACM Trans. Graph., 2022)

MoDi: Unconditional Motion Synthesis from Diverse Data. - Sigal Raab; Inbal Leibovitch; Peizhuo Li; Kfir Aberman; Olga Sorkine-Hornung; Daniel Cohen-Or (CVPR, 2023)

DecAP: Decaying Action Priors for Accelerated Learning of Torque-Based Legged Locomotion Policies. - Shivam Sood; Ge Sun; Peizhuo Li; Guillaume Sartoretti (CoRR, 2023)

Example-based Motion Synthesis via Generative Motion Matching. - Weiyu Li; Xuelin Chen; Peizhuo Li; Olga Sorkine-Hornung; Baoquan Chen (ACM Trans. Graph., 2023)

Research on the Priority of Online Service of University Library Based on Kano Model. - Shuo Yuan; Xia Hao; Peizhuo Li; Yuhua Liu (ICEME, 2024)

ECG Signal Denoising Method Based on CEEMDAN Algorithm and Strong Adaptive Wavelet Threshold. - Kunran Li; Dongping Huang; Peizhuo Li; Dan Tang (ICVISP, 2024)

DecAP : Decaying Action Priors for Accelerated Imitation Learning of Torque-Based Legged Locomotion Policies. - Shivam Sood; Ge Sun; Peizhuo Li; Guillaume Sartoretti (IROS, 2024)

Learning-based Hierarchical Control: Emulating the Central Nervous System for Bio-Inspired Legged Robot Locomotion. - Ge Sun; Milad Shafiee; Peizhuo Li; Guillaume Bellegarda; Auke Jan Ijspeert; Guillaume Sartoretti (IROS, 2024)

HeteroLight: A General and Efficient Learning Approach for Heterogeneous Traffic Signal Control. - Yifeng Zhang; Peizhuo Li; Mingfeng Fan; Guillaume Sartoretti (IROS, 2024)

WalkTheDog: Cross-Morphology Motion Alignment via Phase Manifolds. - Peizhuo Li; Sebastian Starke; Yuting Ye; Olga Sorkine-Hornung (SIGGRAPH (Conference Paper Track), 2024)

Neural Garment Dynamics via Manifold-Aware Transformers. - Peizhuo Li; Tuanfeng Y. Wang; Timur Levent Kesdogan; Duygu Ceylan; Olga Sorkine-Hornung (Comput. Graph. Forum, 2024)

Pose-to-Motion: Cross-Domain Motion Retargeting with Pose Prior. - Qingqing Zhao; Peizhuo Li; Wang Yifan 001; Olga Sorkine-Hornung; Gordon Wetzstein (Comput. Graph. Forum, 2024)

SATA: Safe and Adaptive Torque-Based Locomotion Policies Inspired by Animal Learning. - Peizhuo Li; Hongyi Li; Ge Sun; Jin Cheng; Xinrong Yang; Guillaume Bellegarda; Milad Shafiee; Yuhong Cao; Auke Jan Ijspeert; Guillaume Sartoretti (CoRR, 2025)

Unicorn: A Universal and Collaborative Reinforcement Learning Approach Towards Generalizable Network-Wide Traffic Signal Control. - Yifeng Zhang; Yilin Liu; Ping Gong; Peizhuo Li; Mingfeng Fan; Guillaume Sartoretti (CoRR, 2025)

CoordLight: Learning Decentralized Coordination for Network-Wide Traffic Signal Control. - Yifeng Zhang; Harsh Goel; Peizhuo Li; Mehul Damani; Sandeep Chinchali; Guillaume Sartoretti (IEEE Trans. Intell. Transp. Syst., 2025)