See a map of all the places I've given a talk!
Talk, Institute of Automation, Chinese Academy of Sciences, Beijing China
Offline RL and Beyond: Towards Generalizable Data-Driven Reinforcement Learning. Invited talk at Institute of Automation, Chinese Academy of Sciences. August 2023.
Talk, UMNI Lab, Purdue University, online
Data-Driven Decision Making for Real-World Scenarios. Invited talk at UMNI Lab, Purdue University. April 2023.
Talk, iDLab, Tsinghua University, Beijing China
Frontiers in Offline RL Research. Invited talk at iDLab, Tsinghua University. Jan 2023, Beijing China.
Talk, DataFun Summit 2022, Beijing China
Data-Driven Decision Making for Real-World Scenarios. Invited talk at DataFun Summit 2022. September 2022, Beijing China.
Talk, Didi Tech Salon, Beijing China
Data-Driven Decision Making for Real-World Scenarios. Invited guest talk at Didi Tech Salon. August 2022, Beijing China.
Talk, Haomo AI Day, Beijing China
Data-Driven Decision Making for Real-World Scenarios. Invited talk at Haomo AI Day. April 2022, Beijing China.
Talk, Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI2022), Online
DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning.. Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI2022). February 2022.
Talk, TalkRL: The Reinforcement Learning Podcast, online
Podcast interview at “ TalkRL: The Reinforcement Learning Podcast” with Robin Ranjit Singh Chauhan. Covering DeepThermal for controlling thermal power plants, the MORE algorithm for Model-based Offline RL, comparing AI in China and the US, and more!
Talk, DeeCamp 2021, online
Offline RL and Its Potential Applications in Healthcare Decision Making. Guest lecture at DeeCamp 2021. June 2021, online.
Talk, University of Central Florida, online
Network-Wide Traffic State Inference Using Emerging Urban Data Sources. Guest lecture at University of Central Florida. March 2021, online.
Talk, IEEE Services - Industry Symposium, Online
Application of Deep Reinforcement Learning in Control Optimization of Thermal Power Plants. IEEE Services - Industry Symposium. October 2020.
Talk, Tsinghua University, Beijing, China
Urban Computing: Building Intelligent Cities with Big Data and AI. Invited talk at Tsinghua University. November 2019, Beijing, China.
Talk, Tsinghua University, Beijing, China
Data-driven Methods in Urban Applications: New Problems, New Directions and New Approaches. Invited talk at Tsinghua University. December 2018, Beijing, China.
Talk, Smart Cities and Urban Computing Forum, China National Computer Congress (CNCC 2018), Hangzhou, China
Spatio-Temporal Deep Learning in Intelligent Cities. Smart Cities and Urban Computing Forum, China National Computer Congress (CNCC 2018). October 2018, Hangzhou.
Talk, 3rd Workshop on Applications of the Mathematical Modeling in Enterprises, University of Chinese Academy of Sciences, Beijing, China
Data-driven Optimization Models for Logistics in Urban Applications. 3rd Workshop on Applications of the Mathematical Modeling in Enterprises. July 2018, University of Chinese Academy of Sciences, Beijing.
Talk, Tsinghua University, Beijing, China
Data-driven Methods in Urban Transportation Applications. Invited talk at Tsinghua University. September 2017, Beijing, China.
Talk, INFORMS 2016, Nashville, US
Traffic State Estimation for Arterial Networks Using License-plate Recognition Data. INFORMS 2016. November 2016, Nashville.
Talk, INFORMS 2016, Nashville, US
A Vertex Split-Recovery Model for Congestion Evolution Process on Road Networks. INFORMS 2016. November 2016, Nashville.
Talk, Resilience Week 2016, Chicago, Illinois
A Node Split-Recovery Model for Congestion Evolution Process on Road Networks. Resilience Week 2016. August 2016, Chicago.
Talk, 4th International Symposium on Water, Feedbacks, and Complexity, Purdue University, West Lafayette, Indiana
A Node Splitting-Recovery Model for Congestion Evolution Process on Road Networks. 4th International Symposium on Water, Feedbacks, and Complexity. March 2016, Purdue University.
Talk, INFORMS 2015, Philadelphia, US
A Bayesian Mixture Model for Short-term Average Link Travel Time Estimation Using Large-scale Limited Information Trip-based Data. INFORMS 2015, November 2015, Philadelphia
Talk, INFORMS 2015, Philadelphia, US
A Graph-based Approach to Measure the Efficiency of Urban Taxi Service System. INFORMS 2015, November 2015, Philadelphia
Talk, KDD 2014 International Workshop on Urban Computing, New York, US
Measuring the Efficiency of Urban Taxi Service System. KDD 2014 International Workshop on Urban Computing, August 2014, New York. More information here
Talk, MPE 2013+ Workshop on Sustainable Human Environments, Rutgers University, New Brunswick, New Jersey
Urban Link Travel Time Estimation Using Large-scale Taxi Data with Partial Information. MPE 2013+ Workshop on Sustainable Human Environments. April 2014, Rutgers University.
Talk, INFORMS 2013, Minneapolis, Minnesota
Multiclass Dynamic User Equilibrium with a Path Based Cell Transmission Model for General Traffic Networks. INFORMS 2013, October 2013, Minneapolis.
Talk, INFORMS 2013, Minneapolis, Minnesota
Real Time Link Travel Time Estimation Using License-plate Recognition Data. INFORMS 2013, October 2013, Minneapolis.