Bin Dong(董彬) Long CV, Short CV
Professor
Beijing International Center for Mathematical
Research (BICMR),
Center for Machine Learning Research (CMLR)
Office: BICMR,77101; Phone:
+8610-62744091
Email: dongbin {at} math {dot} pku {dot} edu {dot} cn
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About -- Biography -- Events
-- Publications -- Teaching
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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 (dongbin@math.pku.edu.cn)
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 17–21, 2024, SISSA, Trieste, Italy.
-
SIAM Conference on
Imaging Science (IS24), May 28-31, 2024, Atlanta, Georgia, USA.
-
Workshop on Formal Proofs
and Lean, April 15–26, 2024, IMS-NUS, Singapore.
Past events:
-
中国工业与应用数学第二十一届年会,10月12-15日,云南昆明。
-
第十三届中国数学会计算数学年会,2023年7月15-19日,南京。
-
第十二届全国反问题、成像及其应用年会,2023年5月26-29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,2020年7月13-15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,2020年7月6-10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,2019年7月5-7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,2018年9月13-16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,2018年5月28-31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, 2017年10月12-15日, 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.