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李建
LI, Jian
Professor,
Institute for Interdisciplinary Information Sciences
(IIIS, headed by Prof. Andrew Yao), Tsinghua University.
对照阅读
Publications (full list in
Google Scholar) 对照阅读
Recruit (Intern,
Postdoc, Ph.D., Master, Undergrad) 继续了解
常年招收人工智能基础理论，人工智能与金融应用方向的实习生
Some Talks (with slides)
Research Group
Research Interests
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Theoretical Computer Science (Approximation
Algorithms, Computational Geometry, Stochastic
Combinatorial Optimization)
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Artificial Intelligence (Theory
of Deep Learning, Theory of LLM, ML for Tabular/Time
series data)
(人工智能与大语言模型理论
知乎专栏)
-
ML and Finance
(机器世俱杯携手亚洲威廉公布官方合作与量化投资
知乎专栏)（由我们组同学维护）
-
Large-scale Data Management and Analytics
(Databases,
Crowdsourcing)
Professional
Services
- PC members :
SODA 2026, SODA 2025, TAMC 2023, IJTCS 2022 (PC co-chair),
AAAI 2022 (senior PC), IJCAI 2022 (senior PC),
全国理论计算机年会 NCTCS 2021 (PC
co-chair),IJTCS 2021,
IJTCS
2020 (PC co-chair),
IJCAI 2021(area chair), AAAI 2021(senior PC), ACML 2021 (senior PC),
IJCAI 2020 (AI-in-Fintech Track),
TAMC 2020,
ICML 2020,
SoCG2020,
AAAI 2020, FAW
2019, DASFAA 2019, AAAI
18, NIPS17,
ICML17(PC reviewer), WAOA17,
AAAI17,
ICML2016(PC reviewer),
ICDE2016,
ICALP2016,
WAIM2015,
WiOpt2015,
WAIM2015 (proceeding chair),
China
Theory Week 2014 (co-chair), WAIM2014,
COCOON2014,
ISAAC2013,
TAMC2013,
COCOON2013,
CIKM2012
- Journal Editorial Board: ACM
Transaction on Algorithms (TALG),
IJCGA
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Teaching
- 2026 Spring, AIQUANT,
Artificial
Intelligence and Quantitative Finance
- 2025 Fall,
Algorithms (undergraduate)
- 2025 Spring, ATCS -
Selected topics in learning, prediction and optimization
(with applications to finance)
- 2024 Fall,
Algorithms (undergraduate)
- 2024 Spring, ATCS -
Selected topics in learning, prediction and optimization
(with applications to finance)
- 2023 Fall,
Algorithms (undergraduate)
- 2023 Spring, ATCS -
Selected topics in
learning, prediction and optimization (with applications to finance)
- 2022 Fall,
Algorithms (undergraduate)
- 2022 Spring, ATCS -
Selected topics in
learning, prediction and optimization (with applications to finance)
- 2021 Fall,
Algorithms (undergraduate)
- 2021 Spring, ATCS -
Selected topics in
learning, prediction and optimization (with applications to finance)
- 2020 Fall, Algorithms (undergraduate)
- 2020 Spring, ATCS -
Selected topics in
learning, prediction and optimization (with applications to finance)
- 2019 Fall, Algorithms (undergraduate)
- 2019 Spring, ATCS -
Selected topics in
learning, prediction and optimization (with applications to finance)
- 2018 Fall,
Algorithms (undergraduate)
- 2018 Spring, ATCS -
Learning and
Optimization - theory and practice
- 2017 Fall,
Algorithms (undergraduate)
- 2017 Spring ATCS -
Selected topics in
learning, prediction and optimization (with applications to finance)
- 2016 Fall,
Deep Learning
(undergraduate)
- 2016 Fall,
Algorithms (undergraduate)
- 2016 Summer,
Duke-Tsinghua Machine Learning Summer School, Lecturer
- 2016 Spring, ATCS -
Learning and Prediction - theory and practice
- 2015 Fall,
Algorithms
(undergraduate)
- 2015 Spring,
ATCS -
selected topics in (computational, combinatorial, convex,
high-dimensional) geometry
- 2014 Fall, Algorithms
(undergraduate)
- 2014 Spring,
ATCS - Selected topics in convex,
combinatorial and stochastic optimization (graduate)
- 2013 Spring,
ATCS - Stochastic Network Optimization (graduate,
co-taught with
Longbo
Huang).
- 2012 Fall,
ATCS
(I am a co-organizer of the course. The first half is taught by
Dominik Scheder.)
- 2012 Fall,
Algorithms
(undergraduate)
- 2012 Spring,
ATCS II
-Randomized Algorithms (graduate, co-taught with
Periklis
Papakonstantinou)
- 2011 Fall,
Algorithms
(undergraduate)
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Useful Links & Resource
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Contact
information
Mailing Address: FIT Building 1-208, Tsinghua University, Beijing, China, 100084
Office: FIT Building 4-608-8, Tsinghua
University
Office Tel: 8610-62781693 Ext. 1686
Email: lapordge at gmail dot com, lijian83 at
mail dot tsinghua dot edu dot cn
nestia
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