个人简介

 姓　　名：马志明

 所　　别：应用数学所

  职　　称：研究员，中国科学院院士

 研究领域：概率论与随机分析、随机图与随机复杂网络、概率论与生命信息交叉学科

 电子信箱：mazm@amt.ac.cn 

     

 马志明，中国科学院数学与系统科学研究院研究员。籍贯山西，出生于四川成都，1978年毕业于重庆师范大学，1984年在中国科学院获博士学位。在概率论与随机分析领域有重要贡献。研究狄氏型与马氏过程的对应关系取得了突破性进展，与人合作建立了拟正则狄氏型与右连续马氏过程一一对应的新框架。他与Rockner合写的英文专著已成为该领域基本文献。在Malliavin算法方面，他与合作者证明了Wiener空间的容度与所选取的可测范数无关。他还在奇异位势理论、费曼积分、薛定锷方程的概率解、随机线性泛函的积分表现、无处Radon光滑测度等方面获得多项研究成果。近年来关注概率论与生命、信息等其它领域的交叉。曾在1994年国际数学家大会上作邀请报告。曾获包括Max-Planck研究奖、中国科学院自然科学一等奖、国家自然科学二等奖、陈省身数学奖、华罗庚数学奖等在内的若干奖项。1995年当选为中国科学院院士，1998年当选为第三世界科学院院士，2007年当选为数理统计学会（IMS）Fellow。曾担任2002年北京国际数学家大会组委会主席。曾任国际数学联盟执委会委员（2003-2006）、副主席（2007-2010）。曾任中国数学会第八届理事长（2000-2003），第十届理事长（2008-2011），中国概率统计学会理事长（2011-2014），2017年任国家教材委员会专家委员，现任中国科技大学数学科学院院长，南开大学统计与数据科学院院长。

 

学习经历

1978年获重庆师范学院数学系本科学位

1981年获中国科大研究生院硕士学位

1984年获中国科学院理学博士学位

 

主要工作经历

1981-至今      中国科学院应用数学所（现并入数学与系统科学研究院）

2000-2003      中国数学会第八届理事长

2002.08       国际数学家大会组织委员会主席

2002.08 -2006.08 国际数学联盟执行委员会委员

2003.01 -2007   伯努利数学统计和概率学会理事

2007.01-2010.12  国际数学联盟执行委员会副主席

2008.01-2011.12  中国数学会第十届理事长

2011-2014      中国概率统计学会理事长

2011-2015      国际工业和应用数学会科学学术委员会主席

2011.05至今    中国科技大学数学科学学院院长

2017至今      国家教材委员会专家委员

2018.06至今    南开大学统计与数据科学院院长


  Selected Overseas Experiences

1987.1-1988.12     Alexander von Humboldt Research fellow, BiBoS Research Center,Dept. Math.,Bielefeld University, Germany

1989.8-1990.12     DFG research fellow, Bielefeld-Bochum Stochastic Research Center, Germany

1992.2-1992.4      International Expert, E.C. Project, University at Bonn, Germany

1992.7-1992.12     Visiting Mathematician, I.C.T.P., Trieste, Italy

1994.10-1996.9     Visiting Scholar, Math Institute, University of Warwick, U.K.

2000.3 -2000.6     Visiting Scholar, Northwestern University, IL, USA

2004            Distinguished Chinese Visiting Scholars Scheme, Hong Kong Polytechnic University

2010.12          International Review of Mathematical Sciences research within the UK, organized by EPSRC

2014.10          Simons Visiting Professor, The Mathematical Research Institute of Oberwolfach，Germany

2015.6-2018.5      University Distinguished Professor, Hong Kong Baptist University


社会兼职

European Journal of Mathematics Advisory Editor

Statistica Sinica Associated Editor（2008-2014）

Infinite Dimensional Analysis, Quantum Probability and Related Topics, 编委

Communications in Mathematics and Statistics，主编

数学学报（英文版）Managing Editor

中国科学 编委

应用数学学报 编委

数学年刊 编委

数学物理学报 编委

金融评论 编委 

 

获奖与荣誉

  1992年 Max-Planck研究奖

  1992年 中国科学院自然科学一等奖

  1993年 国家自然科学奖二等奖

  1994年 国际数学家大会Invited Speaker

  1995年 陈省身数学奖

  1995年 中国科学院院士

  1996年 求是杰出青年学者奖

  1998年 第三世界科学院院士

  1999年 何梁何利奖

  2004年 英国Loughborough大学理学博士荣誉学位

  2005年 华罗庚数学奖

  2008年 第七届国际概率统计大会Medallion Lecture

 

在研项目

国家数学与交叉科学中心：群体遗传学和全基因组定量分析及其在精准医学中的应用

中国科学院随机复杂结构与数据科学重点实验室: 随机复杂结构理论研究

随机分析研究中心: 随机分析研究

 

参加主持过的主要科研项目 


 国家自然科学基金委专项基金项目，随机方法及其应用, 2016.01-2016.12   

 国家自然科学基金委专项基金项目，随机方法及其应用, 2015.01-2015.12   

 国家科技部973项目，“信息及相关领域若干重大需求的应用数学研究”，2011年-2015年，首席科学家
 国家科技部973项目，“数学与其它领域交叉的若干专题”，2006年-2010年，首席科学家
 国家科技部973项目，“核心数学中的前沿问题”， 1999年1月—2005年10月，首席科学家

 

 


研究方向

概率论与随机分析
随机图与随机复杂网络
概率论与生命信息交叉学科

我的相册

我的相册

我的相册

Recent Research of My Group ( in collaboration with Huawei Technologies Co. Ltd.)

  1. Zhicheng Liu, Yuan Li, Huazi Zhang, Jun Wang, Guiying Yan, Zhiming Ma. Second-Order Identification Capacity of AWGN Channels. ISIT 2024

  2. Liuquan Yao, Zhichao Liu, Yuan Li, Huazi Zhang, Jun Wang, Guiying Yan, Zhi-Ming Ma. New Partial Orders of Polar Codes for BMSC. ISIT 2024.

  3. Yuan Li, Zicheng Ye, Huazi Zhang, Jun Wang, Guiying Yan, Zhiming Ma: On the Weight Spectrum Improvement of Pre-transformed Reed-Muller Codes and Polar Codes. ISIT 2023: 2153-2158

  4. Shuai Yuan, Liuquan Yao, Yuan Li, Huazi Zhang, Jun Wang, Wen Tong, Zhiming Ma: Lossless Analog Compression via Polarization. GLOBECOM 2023: 6995-7000

  5. Wenxuan Lang, Yuan Li, Huazi Zhang, Jun Wang, Guiying Yan, Zhiming Ma: Improved Finite-Length Bound of Gaussian Unsourced Multiple Access. WCNC 2023: 1-6

  6. Shengchao Liu, Weitao Du, Zhi-Ming Ma, Hongyu Guo, Jian Tang: A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining. ICML 2023: 21497-21526

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

  8. Weitao Du, Yuanqi Du, Limei Wang, Dieqiao Feng, Guifeng Wang, Shuiwang Ji, Carla P. Gomes, Zhi-Ming Ma: A new perspective on building efficient and expressive 3D equivariant graph neural networks. NeurIPS 2023

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

  10. Dawei Yin, Yuan Li, Xianbin Wang, Jiajie Tong, Huazi Zhang, Jun Wang, Guanghui Wang, Guiying Yan, Zhiming Ma: On the Message Passing Efficiency of Polar and Low-Density Parity-Check Decoders. GLOBECOM (Workshops) 2022: 528-534

  11. Zicheng Ye, Yuan Li, Huazi Zhang, Rong Li, Jun Wang, Guiying Yan, Zhiming Ma: The Complete SC-Invariant Affine Automorphisms of Polar Codes. ISIT 2022: 2368-2373

  12. Yuan Li, Xianbin Wang, Huazi Zhang, Jun Wang, Wen Tong, Guiying Yan, Zhiming Ma: Deterministic Identification over Channels without CSI. ITW 2022: 332-337

  13. Yuan Li, Huazi Zhang, Rong Li, Jun Wang, Guiying Yan, and Zhiming Ma，On the Weight Spectrum of Pre-Transformed Polar Codes，2021 IEEE International Symposium on Information Theory (ISIT)

  14. Yuan Li, Huazi Zhang, Rong Li, Jun Wang, Wen Tong, Guiying Yan, and Zhiming Ma ，The Complete Affifine Automorphism Group of Polar Codes，IEEE Global Communications Conference (GLOBECOM 2021)

  15. Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma: Improved OOD Generalization via Adversarial Training and Pre-training, ICML, 2021.

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

Recent Research of My Group (in collaboration with Microsoft Research Asia) （2011-Now）

  1. Shiqi Gong, Peiyan Hu, Qi Meng, Yue Wang, Rongchan Zhu, Bingguang Chen, Zhiming Ma, Hao Ni, Tie-Yan Liu. Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations. AAAI 2023: 7740-7747

  2. Shiqi Gong, Qi Meng, Yue Wang, Lijun Wu, Wei Chen, Zhiming Ma, Tie-Yan Liu. Incorporating NODE with pre-trained neural differential operator for learning dynamics. Neurocomputing 528: 48-58 (2023)

  3. Ming Zhang, Qi Meng, Deng Zhang, Yue Wang, Guanghui Wang, Li Chen, Zhi-Ming Ma, Tie-Yan Liu. Complex valued Neural Operator Assisted Soliton Identification. Physical Review E, 2023.

  4. Rui Zhang, Peiyan Hu, Qi Meng, Yue Wang, Rongchan Zhu, Bingguang Chen, Zhi-Ming Ma, Tie-Yan Liu. Deep Random Vortex Method for Simulating and Inference of Navier-Stokes Equations. Physics of Fluids, 2022

  5. Shiqi Gong, Qi Meng, Jue Zhang, Huilin Qu, Congqiao Li, Sitian Qian, Weitao Du, Zhi-Ming Ma, Tie-Yan Liu. An Efficient Lorentz Equivariant Graph Neural Network for Jet Tagging. Journal of High Energy Physics, 2022

  6. Shiqi Gong, Xinheng He, Qi Meng, Zhi-Ming Ma, Bin Shao, Tong Wang, Tie-Yan Liu. Stochastic Lag Time Parameterization for Markov State Models of Protein Dynamics. Journal of Physical Chemistry, 2022

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

  8. Chongchong Li, Yue Wang, Wei Chen, Yuting Liu, Zhi-Ming Ma, and Tie-Yan Liu, Gradient Information Matters in Policy Optimization by Back-propagating through Model. The 10th International Conference on Learning Representations (ICLR), 2022.

  9. Juanping Zhu, Qi Meng, Wei Chen, Yue Wang, and Zhi-Ming Ma, Constructing the Basis Path Set by Eliminating the Path Dependency, Journal of System Science and Complexity, 2021.

  10. Juanping Zhu, Qi Meng, Wei Chen, and Zhi-Ming Ma, Interpreting the Basis Path Set in Neural Networks, Journal of System Science and Complexity, Vol(33):1-13, 2020.

  11. Yue Wang; Yuting Liu; Wei Chen; Zhiming Ma; Tieyan Liu ; Target transfer Q -learning and its convergence analysis, Neuro computing, 2020, 392: 11-22

  12. Yue Wang; Yuting Liu; Zhiming Ma ; The scale-invariant space for attention layer in neural network, Neuro computing, 2020, 392: 1-10

  13. Mingyang Yi, Huishuai Zhang, Wei Chen, Zhi-Ming Ma, and Tie-Yan Liu, BN-invariance Sharpness Regularizes the Training Model to Better Generalization, In Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI), 2019.

  14. Qi Meng*, Shuxin Zheng*, Huishuai Zhang, Wei Chen, Zhi-Ming Ma, and Tie-Yan Liu, G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space, In Proceedings of the 7th International Conference of Learning Representations (ICLR), 2019.

  15. Li He, Shuxin Zheng, Wei Chen, Zhi-Ming Ma, and Tie-Yan Liu, OptQuant: Distributed Training of Neural Networks with Optimized Quantization Mechanism, NeuroComputing, 2019.

  16. Qi Meng, Wei Chen, Zhi-Ming Ma, and Tie-Yan Liu, Convergence Analysis of Distributed Stochastic Gradient Descent with Shuffling, NeuroComputing, 2019.

  17. Li He, Qi Meng, Wei Chen, Zhi-Ming Ma, and Tie-Yan Liu, Differential Equations for Modeling Asynchronous Algorithms, In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), 2018.

  18. Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhi-Ming Ma and Tie-Yan Liu, Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction, AAAI 2017.

  19. Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhi-Ming Ma and Tie-Yan Liu, Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction, Proceedings of the 31st International Association for the Advancement of Artificial Intelligence Conference (AAAI), 2017.

  20. Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhi-Ming Ma and Tie-Yan Liu, Generalization Error Bounds for Optimization Algorithms via Stability, Proceedings of the 31st International Association for the Advancement of Artificial Intelligence Conference (AAAI), 2017.

  21. Yue Wang, Wei Chen, Yuting Liu, Zhi-Ming Ma, and Tie-Yan Liu, Finite Sample Analysis of GTD Policy Evaluation Algorithms in Markov Setting, In Advances in Neural Information Processing Systems 31 (NIPS), 2017.

  22. Shuxin Zheng, Qi Meng, Taifeng Wang, Wei Chen, Zhi-Ming Ma and Tie-Yan Liu, Asynchronous Stochastic Gradient Descent with Delay Compensation, In Proceeding of the 34thInternational Conference on Machine Learning (ICML), 2017.

  23. Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhi-Ming Ma and Tie-Yan Liu, Generalization Error Bounds for Optimization Algorithms via Stability, Proceedings of the 31st International Association for the Advancement of Artificial Intelligence Conference (AAAI), 2017.

  24. Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhi-Ming Ma, and Tie-Yan Liu, Asynchronous Accelerated Stochastic Gradient Descent, In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), 2016.

  25. Qi Meng, Guolin Ke, Taifeng Wang, Wei Chen, Qiwei Ye, Zhi-Ming Ma, and Tie-Yan Liu, A Communication-efficient Parallel Algorithms for Decision Tree, Advances in Neural Information Processing Systems 30 (NIPS), 2016.

  26. Haifang Li, Tian Fei, Wei Chen, Tao Qin, Zhiming Ma, and Tie-Yan Liu, Generalization Analysis for Game-Theoretic Machine Learning, Proceedings of the 29th International Association for the Advancement of Artificial Intelligence Conference (AAAI), 2015.

  27. Bin Gao, Tie-Yan Liu, Yuting Liu, Taifeng Wang, Zhiming Ma, and Hang Li, Page Importance Computation based on Markov Processes, Information Retrieval, 2011.

Other Recent Research of My Group in AI and Applied Math

  1. Chongchong Li, Yue Wang, Zhi-Ming Ma, Yuting Liu. A Criterion for Selecting the Appropriate One from the Trained Models for Model-Based Offline Policy Evaluation. CAAI Transactions on Intelligence Technology (2024)

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

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

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

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

  6. Bowen Gao, Yinjun Jia, Yuanle Mo, Yuyan Ni, Weiying Ma, Zhiming Ma, Yanyan Lan, Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment. ICLR2024

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

  8. Chongchong Li, Yue Wang, Zhi-Ming Ma, Yuting Liu. How to Select the Appropriate One from the Trained Models for Model-Based OPE. CICAI (2) 2023: 285-297

  9. Bohan Wang, Huishuai Zhang, Zhiming Ma, Wei Chen. Convergence of AdaGrad for Non-convex Objectives: Simple Proofs and Relaxed Assumptions. COLT 2023: 161-190

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

  11. Yimeng Chen, Tianyang Hu, Fengwei Zhou, Zhenguo Li, Zhi-Ming Ma: Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization. ICML 2023: 4623-4640

  12. Shikun Feng, Yuyan Ni, Yanyan Lan, Zhi-Ming Ma, Wei-Ying Ma: Fractional Denoising for 3D Molecular Pre-training. ICML 2023: 9938-9961

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

  14. Yuancheng Sun, Yimeng Chen, Weizhi Ma, Wenhao Huang, Kang Liu, Zhiming Ma, Wei-Ying Ma, Yanyan Lan: PEMP: Leveraging Physics Properties to Enhance Molecular Property Prediction. CIKM 2022: 3505-3513

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

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

  17. Yuyan Ni, Yanyan Lan, Ao Liu, Zhiming Ma, Elastic Information Bottleneck. Mathematics 10 (18), 3352, 2022

  18. Ruibin Xiong, Yimeng Chen, Liang Pang, Xueqi Cheng, Zhi-Ming Ma, Yanyan Lan: Uncertainty Calibration for Ensemble-Based Debiasing Methods. NeurIPS 2021: 13657-13669

  19. [19] Yimeng Chen, Yanyan Lan, Ruibin Xiong, Liang Pang, Zhiming Ma, Xueqi Cheng: Evaluating Natural Language Generation via Unbalanced Optimal Transport. IJCAI 2020: 3730-3736

  20. Liang Ma, Edmund T Rolls, Xiuqin Liu, Yuting Liu, Zeyu Jiao, Yue Wang, Weikang Gong, Zhiming Ma, Fuzhou Gong, Lin Wan. Multi-scale analysis of schizophrenia risk genes, brain structure, and clinical symptoms reveals integrative clues for subtyping schizophrenia patients. Journal of molecular cell biology 11-8: 678-687 (2019)

Recent Research of My Group (in collaboration with Microsoft Research Asia)（2006-2010）

  1. Yuting Liu, Tie-Yan Liu, Zhiming Ma, and Hang Li. A Framework to Compute Page Importance based on User Behaviors, Information Retrieval, 2009.

  2. Wei Chen, Tie-Yan Liu, Yanyan Lan, and Zhiming Ma, Ranking Measures and Loss functions in Learning to Rank, Advances in Neural Information Processing Systems 22 (NIPS), Pages 315-323, 2009.

  3. Bin Gao, Tie-Yan Liu, Zhiming Ma, Taifeng Wang, Hang Li. A general markov framework for page importance computation, in the Proceedings of the 18th ACM conference on Information and knowledge management (CIKM 2009), pp, 1835-1838, 2009.

  4. Yanyan Lan, Tie-Yan Liu, Zhiming Ma, and Hang Li. Generalization Analysis of Listwise Learning to Rank Algorithms, ICML 2009

  5. Yanyan Lan, Tie-Yan Liu, Tao Qin, Zhi-Ming Ma, Hang Li, Query-level Stability and Generalization in Learning to Rank, ICML 2008.

  6. Yuting Liu, Bin Gao, Tie-Yan Liu, Ying Zhang, Zhiming Ma, Shuyuan He, and Hang Li. BrowseRank: Letting Web Users Vote for Page Importance, SIGIR 2008. [SIGIR Best Student Paper Award]

  7. Li Zhang, Tao Qin, Tie-Yan Liu, Yin Bao, Hang Li, N-Step PageRank for Web Search, ECIR 2007.

  8. Yuting Liu, Tie-Yan Liu, Tao Qin, , Zhi-Ming Ma, and Hang Li Supervised Rank Aggregation, WWW 2007.

  9. Guo-Lie Lan ，Zhi-Ming Ma, Sun Suyong,, Coverage Problem of Wireless Sensor Networks, Discrete and Computational Geometry, Lecture Notes in Computer Science 4381，Discrete Geometry, Combinatorics and Graph Theory, pp88-100, Springer 2007

  10. Guang Feng, Tie-Yan Liu,Ying Wang,Ying Bao, Zhiming Ma,Xu-Dong Zhang,Wei-Ying Ma，AggregateRank: bringing order to web sites，SIGIR '06，August 2006, pp 75-82

  11. Y.Bao and Y.Liu, Limit of PageRank with Damping Factor, Dynamics of Continuous, Discrete and Impulsive Systems B, Vol.13 (2006.), Number 3

  12. Y. Bao and Z. H. Zhu, Comparison of Three Web Search Algorithms, Acta Mathematicae Applicatae Sinica, English Series, 223（2006）

Research Articles（2010-Now）

  1. Pingtao Duan, Yuting Liu, Zhi-Ming Ma. Pricing Discrete Barrier Options under the Jump-Diffusion Model with Stochastic Volatility and Stochastic Intensity. Communications in Mathematics and Statistics 12: 239–263 (2024)

  2. 马志明, 姚柳全, 原帅. 熵中心极限定理综述. 中国科学: 数学, SSM-2024-0049.

  3. Chongchong Li, Yuting Liu, Zhi-Ming Ma. Neural networks taking probability distributions as input: A framework for analyzing exchangeable networks. Neurocomputing 584: 127572 (2024)

  4. Rui Zhang, Qi Meng, Zhi-Ming Ma. Deciphering and Integrating Physical Invariant for Neural Operator Learning with Various Physics. National Science Review, 2023.

  5. Wei Chen, Weitao Du, Zhi-Ming Ma, Qi Meng. Power-law Dynamic Arising from Machine Learning. volume Dirichlet Forms and Related Topics, Festschrift Masatoshi Fukushima, 2021

  6. Chen X., Ma ZM., Peng X., Positivity Preserving Semigroups and Positivity Preserving Coercive Forms. Springer Proceedings in Mathematics and Statistics, vol 229, 2018, Springer.

  7. Xian Chen and Zhi-Ming Ma, A transformation of Markov jump processes and applications in genetic study, Discrite and Continuous Dynamical Systems, Volume 34, Number 12,5061-5084, 2014.

  8. Xian Chen, Zhi-Ming Ma and Ying Wang, Markov jump processes in modelling coalescent with recombination, Annals of Statistics, Vol. 42, No. 4, 1361-1393, 2014.

  9. Further Study On Web Markov Skeleton Processes (with Yuting Liu, Chuan Zhou), in Stochastic Analysis and Applications to Finance, World Scientific, 2012.

  10. Fukushima's decomposition for diffusions associated with semi-Dirichlet forms(with L.Ma, W. Sun), Stochastics and Dynamics, Vol. 12, No. 04, 2012.

  11. G.L.Lan, Z.M.Ma and S.Y.Sun，Coverage of Random Discs Driven by a Poisson Point Process, in Probability Approximations and Beyond (Lecture Notes in Statistics,Volume 205) Springer, 2012.

  12. X.F.HAN, Z.M.Ma and W.Sun, h^h-transforms of Positivity Preserving Semigroups and Associated Markov Processes, Acta Mathematica Sinica, 27 (2011),1-8.

  13. Yuting Liu, Z.M.Ma and Chuan Zhou, Web Markov Skeleton Processes and their Applications, Tohoku Mathematical Journal, 63 (2011), 665-695.

  14. Z.M.Ma and W.Sun, Some Topics on Dirichlet Forms, in New Trends In Stochastic Analysis And Related Topics (Interdisciplinary Mathematical Sciences: Volume 12), World Scientific, 2011.

  15. Z.C.Hu, Z.M.Ma and W.Sun, On Representations of Non-Symmetric Dirichlet Forms, Potential Analysis, 2010, 32: 101-131.

Research Articles（2000-2009）

  1. Z.C.Hu,Z.M.Ma and W.Sun, Some Remarks on Representations of Non-symmetric Dirichlet Forms, Potential Theory and Stochastics in Albac, Theta, 2009

  2. Ying Bao, Gang Feng, Tie-Yan Liu, Zhi-Ming Ma, and Ying Wang, Ranking Websites: A Probabilistic View, Internet Mathematics., Volume 3 (2007), Issue 3

  3. Guo-Lie Lan ，Zhi-Ming Ma, Sun Suyong, Coverage Problem of Wireless Sensor Networks, Discrete and Computational Geometry, Lecture Notes in Computer Science 4381，Discrete Geometry, Combinatorics and Graph Theory, pp88-100, Springer 2007

  4. C.Z. Chen, Z.M. Ma and W. Sun , On Girsanov and generalized Feynman-Kac transformations for symmetric Markov processes. Infinite Dimensional Analy-sis, Quantum Probability and Related Topics, Vol. 10（2007）, no. 2, 141-163.

  5. Reflected Symmetric alpha-Stable Processes and Regional Fractional Laplacian with Q.Y.Guan), Probability Theory and Related Fields, 134 (2006), 649-694

  6. Extensions of Levy-Khintchine formula and Beurling-Deny formula in semi-Dirichlet forms setting (with Ze-Chun Hu and Wei Sun), Journal of Functional Analysis,239 (2006), 179-213.

  7. Boundary Problems for Fractional Laplacians (with Q.Y.Guan), Stochastics and Dynamics, 2005 ,Vol. 5, No. 3.

  8. Beurling-Deny formula of semi-Dirichlet forms (with Z.C. Hu) C. R. Math. Acad. Sci. Paris 338 (2004), no. 7, 521--526.

  9. Superprosesses of stochastic flows (with Kai-Nan Xiang), Annals of Probability,29(2001), 317-343

  10. Introduction to Dirichlet forms. (in Chinese) J. Chongqing Norm. Univ. Nat. Sci. Ed. 18 (2001), no. 1, 1--7.

  11. Diffusions living on simple configuration spaces (with M. Rockner), Canadian Mathematical Society Conference Proceedings, Volume 28, 255-269, 2000

Research Articles I（before 2000)

  1. Martingale representation and log-Sobolev inequality on loop space, (with F.Z.Gong), C.R.A.S. t.326. S′ere I, 749-753, 1998.

  2. Log-Sobolev inequality on loop space over a compact Riemannian manifold, (with F.Z.Gong), J. Functional Analysis, 157(1998), 599-621

  3. Admissible vector fields and related di_usions on infinite dimensional manifolds (with K.D. Elworthy), Ukrain. Mat. Zh. 49 (1997), no. 3, 410-423; translation in Ukrainian Math. J. 49 (1997), no. 3, 451-466 (1998)

  4. Vector fields on mapping spaces and related Dirichlet forms and di_usions (with K.D. Elworthy), Osaka J. Math., 34(1997), 629-651

  5. Some contributions in stochastic analysis by Chinese mathematicians, in "The 60th anniversiry of the Chinese Mathematical Society", Hunan press, 1997

  6. Stochastic differential geometry and infinite dimensional stochastic analysis, in "The tendency of natural sciences in the 21th century " , Chinese Academic Press, 1997

  7. A note on Beurling-Deny formulae in infinite dimensional spaces, (with Z.Dong,W,Sun),Acta Math. Appl. Sinica 13 (4), 353-361, 1997

  8. Partition of unity in Sobolev spaces over infinite dimensional state spaces (with S.Albeverio, M.R？ckner), J. Functional Analysis, Vol. 143, 247-268, 1997.

  9. The analytic operator-valued Feynman-integral via additive functional of Brownian motion, (with G.W. Johnson, S. Albeverio), Acta Appl. Math., 42, 267-295, 1996

  10. Invariance of Malliavin fields on Ito's Wiener space and on abstract Wiener space (with F. Z. Gong), J. Functional Analysis, Vol. 138, 449-476, 1996.

  11. Potential theory of quasi-regular Dirichlet forms without capacity, (with S. Albeverio,M. R？ckner), Proc. ICDFSP, de Gruyter, 47-54, 1995.

  12. Quasi-regular Dirichlet forms and applications, Proc. ICM94, 1006-1016, Birkh？user Verlag, Basel, 1995.

  13. Quasi-sure analysis on Ito's Wiener space (with F. Z. Gong), C.R.A.S. t.321. S′ere I,1609-1614, 1995.

  14. Characterization of non-symmetric semi-Dirichlet forms associated with Hunt processes (with S. Albeverio, M. R¨ockner), Random Operators and Stochastic Equations,3, 161-179, 1995.

Research Articles II（before 2000）

  1. Some discussion about the research subject concerning stochastic analysis, in Bull.Academia Sinica, N0.4, 1995

  2. Markov processes associated with semi-Dirichlet forms, (with L. Overbeck, M. R？ckner),Osaka J. of Mathematics. Vol. 32, No.1 97-120, 1995.

  3. Markov processes associated with positive preserving coercive forms, (with M. R？ckner) Canadian J. Math., 47, 817-840, 1995.

  4. Quasi-homeomorphism of Dirichlet forms, (with Z. Chen, M. R？ckner), Nagoya J.Math. Vol. 136, 1-15, 1994.

  5. A remark on quasi-Radon measures, (with S. Albeverio, M. R¨ockner), SFB 256 Preprint, No. 281, 1993. To appear in Proceedings to the 3rd Ascona Conference on Probability, Mathematical Physics and Geometry.

  6. Quasi-regular Dirichlet forms and Markov processes, (with S. Albeverio, M. R？ckner), J. Functional Analysis, Vol. 111, 118-154, 1993

  7. A remark on the support of cadlag processes, (with S. Albeverio, M. R？ckner),Festschrift für G. Kallianpur, M. Dekker, Springer, New York, 1993

  8. An integral representation theorem for quasi-regular Dirichlet spaces, (with Z. Dong),Chinese Science Bulletin, Vol. 38, No. 15, 1355-1358, 1993

  9. Dirichlet forms and their applications to mathematics and physics, Advances in Math., Vol. 22, 46-68, 1993

  10. Local property of Dirichlet forms and di_usions on general state spaces, (with S.Albeverio, M. R？ckner), in Math. Ann., 296, 677-686, (1993).

  11. Characterization of (non-symmetric) Dirichlet forms associated with Hunt processes,(with S. Albeverio, M. R？ckner), SFB 256 Preprint, No. 238, 1992

  12. Characterization of Dirichlet forms associated with Hunt Processes, (with S. Albeverio),in "Stochastic and Quantum Mechanics", Ed. A. Truman, World Scientific,Singapore, 1992

  13. Non-symmetric Dirichlet forms and Markov processes on general state spaces, (with S. Albeverio, M. R？ckner), C.R.A.S. 314, S.I. 77-82, 1992

  14. Regularization of Dirichlet spaces and applications, (with S. Albeverio, M. R？ckner),C.R.A.S. 314, S.I. 859-864, 1992

Research Articles III（before 2000）

  1. Additive functionals, nowhere Radon and Kato class smooth measures, (with S. Albeverio),Osaka J. Math., 29 (1992), 247-265

  2. Probabilistic approach to semilinear boundary value problem, (with R.M. Song), Acta Mathematicae Applicatae Sinica, (English Series) 8 (1992), 214-228

  3. A Beurling-Deny type structure theorem for Dirichlet forms on general state space,(with S. Albeverio, M. R？ckner), in "Ideas and Methods in Mathematical Analysis,Stochastics and Applications", Cambridge University Press, 1992

  4. An invariance result for capacities on Wiener space, (with S. Albeverio, M. Fukushima et al.), J. Functional Analysis, Vol. 106, 35-49, 1992

  5. Perturbations of Dirichlet forms, lower semiboundedness, closability and form cores,(with S. Albeverio), J. Functional Analysis, 99 (1991), 332-356

  6. Diffusion processes associated with singular Dirichlet forms, (with S. Albeverio),"Stochastic Analysis and Applications", Ed. A.B. Cruzeiro et al., Birkh¨auser, 1991

  7. A note on quasi-continuous kernels representing quasi-linear positive maps, (with S.Albeverio), Forum Math., 3 (1991), 389-400

  8. Necessary and sufficient condition for the existence of m-perfect processes associated with Dirichlet forms, (with S. Albeverio), in Lecture Notes in Math., 1485, 374-406, Springer, 1991

  9. Feynman-Kac semigroups in terms of signed smooth measures, (with S. Albeverio,Ph. Blanchard), in "International Series of Numerical Mathematics", Vol. 102, p.1-31, Birkh¨auser, 1991

  10. Capacities on Wiener space: tightness and invariance, (with S. Albeverio, M. Fukushima et al.), C.R.A.S. 312 S. I, 931-935, 1991

  11. Semigroups of Schr¨odinger operators with potentials given by Radon measures, (with Ph. Blanchard), in "Stochastic Processes, Physics and Geometry", Ed. S. Albeverio et al., Word Scientific, 1990

  12. New results on the Schr？dinger semigroups with potentials given by signed smooth measures, (with Ph. Blanchard), in "Stochastic Analysis and Related Topics II" (Lecture Notes in Math. 1444), Springer-Verlag, 1990

  13. Perturbation by unbounded potentials, (with W. Hansen), Math. Ann., 287, 553-569,1990

  14. Probabilistic Methods in Schr？dinger Equations, (with R.M. Song), in "Seminar on Stochastic Processes (1989)", Ed. K.L. Chung et al., Birkh？user, 1990

Research Articles IV（before 2000）

  1. Dirichlet forms and Markov fields - A report on recent developments, (with S. Albeverio,M. R？ckner), in "Di_usion Processes and Related Problems in Analysis", Ed.M. Pinsky, Birkh？user, 1990

  2. Nowhere Radon smooth measures, perturbation of Dirichlet forms and singular quadratic forms, (with S. Albeverio), in Lecture Notes in Control and Information Sciences 126, Springer-Verlag, 1989

  3. Probabilistic approach to Neumann problems with infinite gauge, (with R.M. Song),Acta Mathematicae Applicatae Sinica, Vol. 4, No. 7, 1988

  4. Probabilistic Treatment of Schr？dinger equation with infinite gauge, Scientia Sinica (A), Vol. XXX, No. 7, 1987

  5. Truncated gauge and Schr？dinger operator, (with Z. Zhao), Seminar on Stochastic processes (1986), Birkh¨auser, 1987

  6. On the probabilistic approach to Boundary value problems, BiBoS, Nr. 288, Bielefeld, 1987

  7. Smooth measures and Schr？dinger Semigroups, (with Ph. Blanchard), BiBoS, Nr.295, Bielefeld, 1987

  8. Probabilistic method of Schr？dinger equations having infinite gauge, Scientia Sinica (A, Chinese Edition), No. 2, 1987

  9. Queues and marked point processes, Chinese Journal of Applied Probability and Statistics, Vol. 2, No. 1, 52-57, 1986

  10. A sufficient and necessary condition for a distribution of independent sum to be continuous,(with W. An), Acta Mathematicae Applicatae Sinica, Vol. 8, No. 2, 204-209,1985

  11. Some results on regular conditional probabilities, Acta Mathematicae Sinica, New Series Vol. I, No. 4, 1985

  12. Lebesgue decomposition of random measure and related topics, Chinese Annals of Mathematics, Vol. 6, Ser. A, No. 5, 575-578, 1985

  13. Feynman-Kac semigroups and evolutions equation (I): On the density functions of Feynman-Kac semigroups, Advances in Mathematics, Vol. 14, No. 2, 182-183, 1985

  14. Feynman-Kac semigroups and evolutions equation (II): Evolution equations with discontinuous potential terms, Advances in Mathematics, Vol. 14, No. 2, 184-185, 1985

联系方式

北京市海淀区中关村东路55号数学与系统科学研究院，南楼619

010-82541745

mazm@amt.ac.cn

Copyright © 中国科学院计算机网络信息中心　 技术支持：青云软件