Zhi-Ming Ma
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
5
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | UniGEM: A Unified Approach to Generation and Property Prediction for Molecules. | Shikun Feng, Yuyan Ni, Yan Lu, Zhi-Ming Ma, Wei-Ying Ma, Yanyan Lan |
| 2025 | ICLR | 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 |
| 2025 | ICML | 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 |
| 2024 | ICLR | 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 |
| 2024 | ICLR | Better Neural PDE Solvers Through Data-Free Mesh Movers. | Peiyan Hu, Yue Wang, Zhi-Ming Ma |
| 2024 | ICLR | Sliced Denoising: A Physics-Informed Molecular Pre-Training Method. | Yuyan Ni, Shikun Feng, Wei-Ying Ma, Zhi-Ming Ma, Yanyan Lan |
| 2024 | ICML | 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 |
| 2024 | ICML | 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 |
| 2024 | ICML | 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 |
| 2024 | ICML | Neural Jump-Diffusion Temporal Point Processes. | Shuai Zhang, Chuan Zhou, Yang Aron Liu, Peng Zhang, Xixun Lin, Zhi-Ming Ma |
| 2024 | ISIT | New Partial Orders of Polar Codes for BMSC. | Liuquan Yao, Zhichao Liu, Yuan Li, Huazi Zhang, Jun Wang, Guiying Yan, Zhi-Ming Ma |
| 2024 | KDD | Provable Adaptivity of Adam under Non-uniform Smoothness. | Bohan Wang, Yushun Zhang, Huishuai Zhang, Qi Meng, Ruoyu Sun, Zhi-Ming Ma, Tie-Yan Liu, Zhi-Quan Luo, Wei Chen |
| 2023 | ICLR | Breaking Correlation Shift via Conditional Invariant Regularizer. | Mingyang Yi, Ruoyu Wang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma |
| 2023 | ICML | Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization. | Yimeng Chen, Tianyang Hu, Fengwei Zhou, Zhenguo Li, Zhi-Ming Ma |
| 2023 | ICML | Fractional Denoising for 3D Molecular Pre-training. | Shikun Feng, Yuyan Ni, Yanyan Lan, Zhi-Ming Ma, Wei-Ying Ma |
| 2023 | ICML | A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining. | Shengchao Liu, Weitao Du, Zhi-Ming Ma, Hongyu Guo, Jian Tang |
| 2022 | ICLR | 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 |
| 2021 | ICLR | Reweighting Augmented Samples by Minimizing the Maximal Expected Loss. | Mingyang Yi, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma |
| 2019 | ICLR | 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 |
| 2019 | IJCAI | BN-invariant Sharpness Regularizes the Training Model to Better Generalization. | Mingyang Yi, Huishuai Zhang, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu |
| 2019 | KDD | Off-policy Learning for Multiple Loggers. | Li He, Long Xia, Wei Zeng, Zhi-Ming Ma, Yihong Zhao, Dawei Yin |