熟女

• 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 （由我们组同学维护）

• Large-scale Data Management and Analytics (Databases, Crowdsourcing)

• PC members : SODA 2025, TAMC 2023, IJTCS 2022 (PC co-chair), AAAI 2022 (senior PC), IJCAI 2022 (senior PC), (PC co-chair),IJTCS 2021, (PC co-chair), IJCAI 2021(area chair), AAAI 2021(senior PC), ACML 2021 (senior PC), IJCAI 2020 (AI-in-Fintech Track), , , , , FAW 2019, , AAAI 18, NIPS17, (PC reviewer), WAOA17, AAAI17, (PC reviewer), , , , , , China Theory Week 2014 (co-chair), , , , , ,

• Journal Editorial Board: ACM Transaction on Algorithms (),

• 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,

• 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 .)

• 2012 Fall, Algorithms (undergraduate)

• 2012 Spring, ATCS II -Randomized Algorithms (graduate, co-taught with Periklis Papakonstantinou)

• 2011 Fall, Algorithms (undergraduate)

• Theoretical Computer Science Cheat Sheet

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