Jiang, Ke

8 publications

TMLR 2026 Dynamics‑Aligned Diffusion Planning for Offline RL: A Unified Framework with Forward and Inverse Guidance Zihao Wang, Ke Jiang, Xiaoyang Tan

ICLR 2026 Koopman-Assisted Trajectory Synthesis: A Data Augmentation Framework for Offline Imitation Learning Jin Wang, Pengcheng He, Ke Jiang, Xiaoyang Tan

ICLR 2026 ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory Siru Ouyang, Jun Yan, I-Hung Hsu, Yanfei Chen, Ke Jiang, Zifeng Wang, Rujun Han, Long Le, Samira Daruki, Xiangru Tang, Vishy Tirumalashetty, George Lee, Mahsan Rofouei, Hangfei Lin, Jiawei Han, Chen-Yu Lee, Tomas Pfister

NeurIPS 2023 Recovering from Out-of-Sample States via Inverse Dynamics in Offline Reinforcement Learning Ke Jiang, Jia-Yu Yao, Xiaoyang Tan

AISTATS 2017 Combinatorial Topic Models Using Small-Variance Asymptotics Ke Jiang, Suvrit Sra, Brian Kulis

CVPR 2015 Revisiting Kernelized Locality-Sensitive Hashing for Improved Large-Scale Image Retrieval Ke Jiang, Qichao Que, Brian Kulis

NeurIPS 2013 Small-Variance Asymptotics for Hidden Markov Models Anirban Roychowdhury, Ke Jiang, Brian Kulis

NeurIPS 2012 Small-Variance Asymptotics for Exponential Family Dirichlet Process Mixture Models Ke Jiang, Brian Kulis, Michael I. Jordan