A Bayesian Risk Approach to MDPs with Parameter Uncertainty. - Yifan Lin; Yuxuan Ren; Enlu Zhou (CoRR, 2021)

Bayesian Risk Markov Decision Processes. - Yifan Lin; Yuxuan Ren; Enlu Zhou (NeurIPS, 2022)

QCQP-Net: Reliably learning feasible alternating current optimal power flow solutions under constraints. - Sihan Zeng; Youngdae Kim; Yuxuan Ren; Kibaek Kim (L4DC, 2024)

Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning. - Yuxuan Ren; Dihan Zheng; Chang Liu 030; Peiran Jin; Yu Shi; Lin Huang; Jiyan He; Shengjie Luo; Tao Qin 001; Tie-Yan Liu (NeurIPS, 2024)

Neural P3M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs. - Yusong Wang; Chaoran Cheng; Shaoning Li; Yuxuan Ren; Bin Shao; Ge Liu; Pheng-Ann Heng; Nanning Zheng 001 (NeurIPS, 2024)

CryoGEN: Generative Energy-based Models for Cryogenic Electron Tomography Reconstruction. - Yunfei Teng; Yuxuan Ren; Kai Chen; Xi Chen; Zhaoming Chen; Qiwei Ye (ICLR, 2025)

Enhancing Ptychography Fidelity via Kurtosis Active Search for Robust Axial Optimization. - Yun Xie; Angyi Lin; Fucai Zhang; Chuangchuang Chen; Yuxuan Ren; Feng Shu 001 (IEEE Trans. Instrum. Meas., 2025)