Hu, Zheyuan

8 publications

ICLR 2026 CMT: Mid-Training for Efficient Learning of Consistency, Mean Flow, and Flow-mAP Models Zheyuan Hu, Chieh-Hsin Lai, Yuki Mitsufuji, Stefano Ermon

ICLR 2026 Ultra-Fast Language Generation via Discrete Diffusion Divergence Instruct Haoyang Zheng, Xinyang Liu, Xiangrui Kong, Nan Jiang, Zheyuan Hu, Weijian Luo, Wei Deng, Guang Lin

NeurIPS 2024 Stochastic Taylor Derivative Estimator: Efficient Amortization for Arbitrary Differential Operators Zekun Shi, Zheyuan Hu, Min Lin, Kenji Kawaguchi

ICLR 2023 D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory Tianbo Li, Min Lin, Zheyuan Hu, Kunhao Zheng, Giovanni Vignale, Kenji Kawaguchi, A.H. Castro Neto, Kostya S. Novoselov, Shuicheng Yan

ICLRW 2023 Neural Integral Functionals Zheyuan Hu, Tianbo Li, Zekun Shi, Kunhao Zheng, Giovanni Vignale, Kenji Kawaguchi, Shuicheng Yan, Min Lin

CoRL 2023 REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation Zheyuan Hu, Aaron Rovinsky, Jianlan Luo, Vikash Kumar, Abhishek Gupta, Sergey Levine

ICML 2021 Heterogeneous Risk Minimization Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen

NeurIPS 2021 Integrated Latent Heterogeneity and Invariance Learning in Kernel Space Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen