李建
教授
理论计算机科学，机器学习理论，金融科技
Professor, Institute for Interdisciplinary Information Sciences (IIIS, headed by Prof. Andrew Yao), Tsinghua University.
Publications (full list in Google Scholar)
Research Interests
Theoretical Computer Science (Approximation Algorithms, Computational Geometry, Stochastic Combinatorial Optimization)
Machine Learning (Learning Theory, Machine Learning for Tabular/Time series/Spatial-temporal data, Large generative models)
ML and Finance 机器学习与量化投资 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 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
Teaching
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)
Useful Links & Resource
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
