Liang, Jiaming

9 publications

NeurIPS 2025 A Dataset for Distilling Knowledge Priors from Literature for Therapeutic Design Haydn Thomas Jones, Natalie Maus, Josh magnus Ludan, Maggie Ziyu Huan, Jiaming Liang, Marcelo Der Torossian Torres, Jiatao Liang, Zachary Ives, Yoseph Barash, Cesar de la Fuente-Nunez, Jacob R. Gardner, Mark Yatskar

CVPR 2025 CarPlanner: Consistent Auto-Regressive Trajectory Planning for Large-Scale Reinforcement Learning in Autonomous Driving Dongkun Zhang, Jiaming Liang, Ke Guo, Sha Lu, Qi Wang, Rong Xiong, Zhenwei Miao, Yue Wang

COLT 2025 Characterizing Dependence of Samples Along the Langevin Dynamics and Algorithms via Contraction of $φ$-Mutual Information (Extended Abstract) Jiaming Liang, Siddharth Mitra, Andre Wibisono

TMLR 2025 Client-Only Distributed Markov Chain Monte Carlo Sampling over a Network Bo Yuan, Jiaojiao Fan, Jiaming Liang, Yongxin Chen

AISTATS 2025 Proximal Sampler with Adaptive Step Size Bo Yuan, Jiaojiao Fan, Jiaming Liang, Yongxin Chen

CVPR 2025 Temporal Action Detection Model Compression by Progressive Block Drop Xiaoyong Chen, Yong Guo, Jiaming Liang, Sitong Zhuang, Runhao Zeng, Xiping Hu

CVPR 2024 Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions Runhao Zeng, Xiaoyong Chen, Jiaming Liang, Huisi Wu, Guangzhong Cao, Yong Guo

TMLR 2023 A Proximal Algorithm for Sampling Jiaming Liang, Yongxin Chen

COLT 2023 On a Class of Gibbs Sampling over Networks Bo Yuan, Jiaojiao Fan, Jiaming Liang, Andre Wibisono, Yongxin Chen