Jian Li's Homepage

李建 LI, Jian

Jian Li is currently an associate professor with the ADL group@IIIS at Institute for Interdisciplinary Information Sciences (IIIS, previously ITCS), Tsinghua University, headed by Prof. Andrew Yao.

Recruit（招聘, 招收博士后、实习生、直博直硕学生）

Bio (个人简介)

Publications

Some Talks (with slides)

Students

Research Interests

Algorithms (Approximation Algorithms, Computational Geometry, Stochastic Optimization)
Machine Learning (Learning Theory, Online learning and Prediction, Bandits)
Large-scale Data Management and Analytics (Databases, Crowdsourcing)
Algorithmic/Quantitative Trading, Fintech, Application of Machine Learning to Finance, 机器学习与量化投资知乎专栏（由我们组同学维护）

Professional Services

PC members : 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, WAIM2014, COCOON2014, ISAAC2013, TAMC2013, COCOON2013, CIKM2012
Others: WAIM2015 (proceeding chair), China Theory Week 2014 (co-chair)
Journal Editorial Board: ACM Transaction on Algorithms (TALG), IJCGA

Teaching

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

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