Ma, Zhi-Ming

37 publications

ICML 2025 From Uncertain to Safe: Conformal Adaptation of Diffusion Models for Safe PDE Control Peiyan Hu, Xiaowei Qian, Wenhao Deng, Rui Wang, Haodong Feng, Ruiqi Feng, Tao Zhang, Long Wei, Yue Wang, Zhi-Ming Ma, Tailin Wu

ICLR 2025 Improved Diffusion-Based Generative Model with Better Adversarial Robustness Zekun Wang, Mingyang Yi, Shuchen Xue, Zhenguo Li, Ming Liu, Bing Qin, Zhi-Ming Ma

ICLRW 2025 Reveal the Mystery of DPO: The Connection Between DPO and RL Algorithms Xuerui Su, Yue Wang, Jinhua Zhu, Mingyang Yi, Feng Xu, Zhi-Ming Ma, Yuting Liu

NeurIPS 2025 Straight-Line Diffusion Model for Efficient 3D Molecular Generation Yuyan Ni, Shikun Feng, Haohan Chi, Bowen Zheng, Huan-ang Gao, Wei-Ying Ma, Zhi-Ming Ma, Yanyan Lan

ICLR 2025 UniGEM: A Unified Approach to Generation and Property Prediction for Molecules Shikun Feng, Yuyan Ni, Lu Yan, Zhi-Ming Ma, Wei-Ying Ma, Yanyan Lan

ICLR 2025 Wavelet Diffusion Neural Operator Peiyan Hu, Rui Wang, Xiang Zheng, Tao Zhang, Haodong Feng, Ruiqi Feng, Long Wei, Yue Wang, Zhi-Ming Ma, Tailin Wu

NeurIPSW 2024 A Probabilistic Generative Method for Safe Physical System Control Problems Peiyan Hu, Xiaowei Qian, Wenhao Deng, Rui Wang, Haodong Feng, Ruiqi Feng, Tao Zhang, Long Wei, Yue Wang, Zhi-Ming Ma, Tailin Wu

ICLR 2024 Better Neural PDE Solvers Through Data-Free Mesh Movers Peiyan Hu, Yue Wang, Zhi-Ming Ma

NeurIPS 2024 DiffPhyCon: A Generative Approach to Control Complex Physical Systems Long Wei, Peiyan Hu, Ruiqi Feng, Haodong Feng, Yixuan Du, Tao Zhang, Rui Wang, Yue Wang, Zhi-Ming Ma, Tailin Wu

ICLRW 2024 Generative PDE Control Long Wei, Peiyan Hu, Ruiqi Feng, Yixuan Du, Tao Zhang, Rui Wang, Yue Wang, Zhi-Ming Ma, Tailin Wu

ICML 2024 Neural Jump-Diffusion Temporal Point Processes Shuai Zhang, Chuan Zhou, Yang Aron Liu, Peng Zhang, Xixun Lin, Zhi-Ming Ma

ICML 2024 Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion Bowen Gao, Minsi Ren, Yuyan Ni, Yanwen Huang, Bo Qiang, Zhi-Ming Ma, Wei-Ying Ma, Yanyan Lan

ICLR 2024 Self-Supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment Bowen Gao, Yinjun Jia, YuanLe Mo, Yuyan Ni, Wei-Ying Ma, Zhi-Ming Ma, Yanyan Lan

ICLR 2024 Sliced Denoising: A Physics-Informed Molecular Pre-Training Method Yuyan Ni, Shikun Feng, Wei-Ying Ma, Zhi-Ming Ma, Yanyan Lan

ICML 2024 The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling Jiajun Ma, Shuchen Xue, Tianyang Hu, Wenjia Wang, Zhaoqiang Liu, Zhenguo Li, Zhi-Ming Ma, Kenji Kawaguchi

ICML 2024 UniCorn: A Unified Contrastive Learning Approach for Multi-View Molecular Representation Learning Shikun Feng, Yuyan Ni, Minghao Li, Yanwen Huang, Zhi-Ming Ma, Wei-Ying Ma, Yanyan Lan

ICML 2023 A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-Modal Pretraining Shengchao Liu, Weitao Du, Zhi-Ming Ma, Hongyu Guo, Jian Tang

NeurIPS 2023 A New Perspective on Building Efficient and Expressive 3D Equivariant Graph Neural Networks Weitao Du, Yuanqi Du, Limei Wang, Dieqiao Feng, Guifeng Wang, Shuiwang Ji, Carla P. Gomes, Zhi-Ming Ma

ICLR 2023 Breaking Correlation Shift via Conditional Invariant Regularizer Mingyang Yi, Ruoyu Wang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma

ICML 2023 Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization Yimeng Chen, Tianyang Hu, Fengwei Zhou, Zhenguo Li, Zhi-Ming Ma

ICML 2023 Fractional Denoising for 3D Molecular Pre-Training Shikun Feng, Yuyan Ni, Yanyan Lan, Zhi-Ming Ma, Wei-Ying Ma

NeurIPS 2023 Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion Weitao Du, Jiujiu Chen, Xuecang Zhang, Zhi-Ming Ma, Shengchao Liu

NeurIPS 2023 SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models Shuchen Xue, Mingyang Yi, Weijian Luo, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma

NeurIPS 2023 Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials Shengchao Liu, Weitao Du, Yanjing Li, Zhuoxinran Li, Zhiling Zheng, Chenru Duan, Zhi-Ming Ma, Omar Yaghi, Animashree Anandkumar, Christian Borgs, Jennifer Chayes, Hongyu Guo, Jian Tang

NeurIPS 2022 Characterization of Excess Risk for Locally Strongly Convex Population Risk Mingyang Yi, Ruoyu Wang, Zhi-Ming Ma

NeurIPS 2022 Does Momentum Change the Implicit Regularization on Separable Data? Bohan Wang, Qi Meng, Huishuai Zhang, Ruoyu Sun, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu

ICLR 2022 Gradient Information Matters in Policy Optimization by Back-Propagating Through Model Chongchong Li, Yue Wang, Wei Chen, Yuting Liu, Zhi-Ming Ma, Tie-Yan Liu

NeurIPS 2022 When Does Group Invariant Learning Survive Spurious Correlations? Yimeng Chen, Ruibin Xiong, Zhi-Ming Ma, Yanyan Lan

ICLR 2021 Reweighting Augmented Samples by Minimizing the Maximal Expected Loss Mingyang Yi, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma

NeurIPS 2021 Uncertainty Calibration for Ensemble-Based Debiasing Methods Ruibin Xiong, Yimeng Chen, Liang Pang, Xueqi Cheng, Zhi-Ming Ma, Yanyan Lan

IJCAI 2019 BN-Invariant Sharpness Regularizes the Training Model to Better Generalization Mingyang Yi, Huishuai Zhang, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu

ICLR 2019 G-SGD: Optimizing ReLU Neural Networks in Its Positively Scale-Invariant Space Qi Meng, Shuxin Zheng, Huishuai Zhang, Wei Chen, Qiwei Ye, Zhi-Ming Ma, Nenghai Yu, Tie-Yan Liu

ICML 2017 Asynchronous Stochastic Gradient Descent with Delay Compensation Shuxin Zheng, Qi Meng, Taifeng Wang, Wei Chen, Nenghai Yu, Zhi-Ming Ma, Tie-Yan Liu

NeurIPS 2017 Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting Yue Wang, Wei Chen, Yuting Liu, Zhi-Ming Ma, Tie-Yan Liu

NeurIPS 2016 A Communication-Efficient Parallel Algorithm for Decision Tree Qi Meng, Guolin Ke, Taifeng Wang, Wei Chen, Qiwei Ye, Zhi-Ming Ma, Tie-Yan Liu

NeurIPS 2010 Two-Layer Generalization Analysis for Ranking Using Rademacher Average Wei Chen, Tie-yan Liu, Zhi-ming Ma

NeurIPS 2009 Ranking Measures and Loss Functions in Learning to Rank Wei Chen, Tie-yan Liu, Yanyan Lan, Zhi-ming Ma, Hang Li