Selected publications

(* stands for equal contribution.)

PowerFlow: Unlocking the Dual Nature of LLMs via Principled Distribution Matching
Ruishuo Chen, Yu Chen, Zhuoran Li, and Longbo Huang
International Conference on Machine Learning (ICML), 2026.
Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training
Ruishuo Chen, Xun Wang, Rui Hu, Zhuoran Li, and Longbo Huang
International Conference on Machine Learning (ICML), 2026.
Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation
Tian Xu*, Zhilong Zhang*, Ruishuo Chen, Yihao Sun, and Yang Yu
Advances in Neural Information Processing Systems (NeurIPS), 2024.

Offline Critic-Guided Diffusion Policy for Multi-User Delay-Constrained Scheduling
Zhuoran Li, Ruishuo Chen, Hai Zhong, and Longbo Huang
IEEE Transactions on Mobile Computing (TMC), 2026.
Statistical Analyses of Solar Active Regions in SDO/HMI Magnetograms Detected by the Unsupervised Machine Learning Method DSARD
Ruishuo Chen*, Wutong Lu*, Qi Hao, Yifan Meng, Pengfei Chen, and Chenxi Shi
The Astrophysical Journal Supplement Series, 280, 70 (2025). (IF>8.5)
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