Bin Dong(董彬) Long CV, Short CV


Beijing International Center for Mathematical Research (BICMR),

Center for Machine Learning Research (CMLR)

Peking University

Office: BICMR77101; Phone: +8610-62744091
Email: dongbin {at} math {dot} pku {dot} edu {dot} cn


About -- Biography -- Events -- Publications -- Teaching



Postdoc position:

-   Looking for postdocs for two exciting ongoing projects: AI for computational imaging and AI for mathematics (see About for a high-level description of the two projects)

-    Ideal candidates for AI for computational imaging should have a strong background in either biomedical image analysis, machine learning or natural language processing.

-    Ideal candidates for AI for mathematics should have a strong background in machine learning and has some experience in automated theorem proving in formal systems such as Lean.

-    For both projects, candidates with strong programming skills are preferable.

-    If interested, please email me ( your CV and a brief description on your qualifications.


Long-term events:

-    One world Seminar Series on the Mathematics of Machine Learning. The focus of the series lies on theoretical advances in machine learning and deep learning as a complement to the one world seminars on probability, on Information, Signals and Data (MINDS), on methods for arbitrary data sources (MADS), and on imaging and inverse problems (IMAGINE).


Recent events:

-    AI for Mathematics Workshop @ ICML2024, July 26/27th, 2024, Vienna, Austria.

-    Mathematical and Scientific Machine Learning (MSML24), June 1721, 2024, SISSA, Trieste, Italy.

-    SIAM Conference on Imaging Science (IS24), May 28-31, 2024, Atlanta, Georgia, USA.

-    Workshop on Formal Proofs and Lean, April 1526, 2024, IMS-NUS, Singapore.

Past events:

-    中国工业与应用数学第二十一届年会1012-15日,云南昆明。

-    第十三届中国数学会计算数学年会2023715-19日,南京。

-    第十二届全国反问题、成像及其应用年会2023526-29日,南方科技大学。

-    Mathematical and Scientific Machine Learning (MSML22), August 13-21 (within this period), 2022, Beijing, China.

-    Mathematical and Scientific Machine Learning (MSML21), August 16-19, 2021, EPFL Campus, Lausanne, Switzerland.

-    Mathematical and Scientific Machine Learning (MSML20), July 20-24, 2020, Princeton, USA.

-    基于机器学习的PDE数值计算与应用线上主题研讨会2020713-15日,国家天元数学东北中心。

-    基于机器学习的PDE数值计算与应用线上暑期短课程202076-10日,国家天元数学东北中心。

-    1st International Workshop on Multiscale Multimodal Medical Imaging (MMMI2019), In conjunction with MICCAI 2019, October 13, 2019, Shenzhen, China.

-    International Workshop on Recent Advances on Mathematical Imaging and Data Science, July 2-6, 2019, Shanghai Jiaotong University, Shanghai, China.

-    第二届全国大数据与人工智能科学大会(CSIAM-BDAI 2019,深度学习在 PDEs 中的应用主题研讨会,201975-7日,云南昆明。

-    中国工业与应用数学第十六届年会CSIAM2018),"图像科学中的数学理论、模型与算法:医疗影像分析和重建"专题研讨会,2018913-16日,四川成都。

-    第十届反问题年会,图像科学中的反问题,国家天元数学东北中心,长春,2018528-31日。

-    中国工业与应用数学第十五届年会CSIAM2017, 图像科学中的数学理论、模型与算法专题研讨会, 20171012-15, 山东青岛.

-    PKU Summer School on Data Science, July 10-23, 2017 (schedule is now available).Course abstracts.

-    PKU Workshop on Computation and Big Data Analysis, June 20-21, 2017.

-    PKU Short Course (unofficial): Deep Learning, Sep.-Dec. 2016.

-    PKU Workshop On Mathematics in Imaging Science and Data Analysis (MISDA), August 4-5, 2016.(Group photo is now available.)

-    PKU Mini-Course: Information Geometry, June 27-30, 2016.

-    PKU Workshop on Data Sciences and Applications (@BICMR), June 10, 2016.

-    Computational Biomedical Imaging Workshop, Shanghai Jiaotong university, October 17-18, 2015.