Zhi-Ming Ma

1. SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models
   2023/09/10 by Shuchen Xue, Mingyang Yi, Xue, Shuchen +11 · 10 citations
   Computer Science · Engineering · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Bayesian Inference #Traffic Prediction and Management Techniques
2. Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey
   2024/08/22 by Haixin Wang, Wang, Haixin, Yadi Cao +29 · 11 citations
   Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Time Series Analysis and Forecasting
3. A new perspective on building efficient and expressive 3D equivariant graph neural networks
   2023/04/07 by Weitao Du, Du, Weitao, Yuanqi Du +13 · 5 citations
   Computer Science · Materials Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning in Materials Science
4. UniGEM: A Unified Approach to Generation and Property Prediction for Molecules
   2024/10/14 by Shikun Feng, Feng, Shikun, Yuyan Ni +9 · 9 citations
   Chemistry · Computer Science · #Artificial Intelligence (cs.AI) #Biomolecules (q-bio.BM) #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Various Chemistry Research Topics
5. Robust Reinforcement Learning with Wasserstein Constraint
   2020/06/01 by Linfang Hou, Hou, Linfang, Liang Pang +9 · 3 citations
   Computer Science · Decision Sciences · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Probabilistic and Robust Engineering Design #Reinforcement Learning in Robotics
6. UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation Learning
   2024/05/15 by Shikun Feng, Feng, Shikun, Yuyan Ni +11 · 5 citations
   Biochemistry, Genetics and Molecular Biology · Materials Science · Computer Science · #Machine Learning in Bioinformatics #Machine Learning in Materials Science #Domain Adaptation and Few-Shot Learning
7. Pre-training with Fractional Denoising to Enhance Molecular Property Prediction
   2024/07/14 by Yuyan Ni, Ni, Yuyan, Shikun Feng +13 · 5 citations
   Chemistry · Computer Science · #Analytical Chemistry and Chromatography #Artificial Intelligence (cs.AI) #Chemical Physics (physics.chem-ph) #Computational Drug Discovery Methods #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Various Chemistry Research Topics
8. Provable Adaptivity of Adam under Non-uniform Smoothness
   2022/08/21 by Bohan Wang, Wang, Bohan, Yushun Zhang +13 · 2 citations
   Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
9. Differential Equations for Modeling Asynchronous Algorithms
   2018/05/08 by He Li, He, Li, Qi Meng +7 · 1 citation
   Computer Science · #Complexity and Algorithms in Graphs #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
10. Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting
    2018/09/21 by Yue Wang, Wang, Yue, Wei Chen +7 · 1 citation
    Computer Science · Decision Sciences · #Adaptive Dynamic Programming Control #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Reinforcement Learning in Robotics
11. A Communication-Efficient Parallel Algorithm for Decision Tree
    2016/11/04 by Qi Meng, Guolin Ke, Meng, Qi +11 · 1 citation
    Computer Science · #Data Mining Algorithms and Applications #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning and Data Classification
12. Does Momentum Change the Implicit Regularization on Separable Data?
    2021/10/08 by Bohan Wang, Wang, Bohan, Meng Qi +11 · 1 citation
    Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning and ELM #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
13. Achievability Bounds on Unequal Error Protection Codes
    2024/05/06 by Liuquan Yao, Shuai Yuan, Yao, Liuquan +11 · 2 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #Formal Methods in Verification #Information Theory (cs.IT) #Radiation Effects in Electronics #Software Reliability and Analysis Research
14. The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling
    2024/02/23 by Jiajun Ma, Ma, Jiajun, Shuchen Xue +13 · 2 citations
    Mathematics · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Survey Sampling and Estimation Techniques
15. Neural Operator with Regularity Structure for Modeling Dynamics Driven by SPDEs
    2022/04/13 by Peiyan Hu, Hu, Peiyan, Meng Qi +15 · 1 citation
    Computer Science · Environmental Science · Physics and Astronomy · #Analysis of PDEs (math.AP) #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Hydrological Forecasting Using AI #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications
16. Wavelet Diffusion Neural Operator
    2024/12/06 by Peiyan Hu, Hu, Peiyan, Rui Wang +17 · 2 citations
    Computer Science · #Neural Networks and Applications
17. Straight-Line Diffusion Model for Efficient 3D Molecular Generation
    2025/03/04 by Yuyan Ni, Ni, Yuyan, Shikun Feng +12 · 3 citations
    Computer Science · Materials Science · #Artificial Intelligence (cs.AI) #Block Copolymer Self-Assembly #Computational Drug Discovery Methods #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
18. Elastic Information Bottleneck
    2023/11/07 by Yuyan Ni, Ni, Yuyan, Yanyan Lan +5 · 1 citation
    Computer Science · Engineering · Medicine · #Artificial Intelligence (cs.AI) #COVID-19 diagnosis using AI #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Geophysical Methods and Applications #Information Theory (cs.IT)
19. Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion
    2024/03/04 by Bowen Gao, Gao, Bowen, Minsi Ren +13 · 1 citation
    Engineering · #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reservoir Engineering and Simulation Methods
20. Advantage Weighted Matching: Aligning RL with Pretraining in Diffusion Models
    2025/09/29 by Shuchen Xue, Chongjian Ge, Xue, Shuchen +7 · 4 citations
    Economics, Econometrics and Finance · Mathematics · #FOS: Computer and information sciences #Game Theory and Voting Systems #Machine Learning (cs.LG) #Statistical Methods and Inference
21. Reveal the Mystery of DPO: The Connection between DPO and RL Algorithms
    2025/02/05 by X. Su, Y. Wang, Su, Xuerui +11 · 1 citation
    Computer Science · #Fuzzy Logic and Control Systems #Neural Networks and Applications #AI-based Problem Solving and Planning