Kun Huang (First author, Ph.D. Programme in Data Science, 2020 Cohort), Xiao Li, Shi Pu. Distributed Stochastic Optimization under a General Variance Condition. IEEE Transactions on Automatic Control.

https://ieeexplore.ieee.org/abstract/document/10508084

May

Sheng Xu (First author, Ph.D. Programme in Computer Science, 2023 Cohort), Guiliang Liu. Robust Inverse Constrained Reinforcement Learning under Model Misspecification. International Conference on Machine Learning (ICML 2024).

https://openreview.net/forum?id=pkUl39b0in

Yang Yang, Chao Yang (Second-author, Ph.D. Programme in Computer Science, 2022 Cohort), Boyang Li (Co-author, M.Phil. Programme in Computer Science, 2023 Cohort), Yinhao Fu, Shuang Li. Neuro-symbolic Temporal Logic Induction. International Conference on Machine Learning (ICML 2024).

https://openreview.net/forum?id=HDrXBr26UI&referrer=%5Bthe%20profile%20of%20Boyang%20Li%5D(%2Fprofile%3Fid%3D~Boyang_Li4)

June

Guokai Li (First author, Ph.D. Programme in Data Science, 2020 Cohort), Pin Gao, Zizhuo Wang. Optimal Emission Regulation Under Market Uncertainty. Naval Research Logistics.

https://onlinelibrary.wiley.com/doi/full/10.1002/nav.22204

Xinyuan Wu (Ph.D. Programme in Data Science, 2022 Cohort) is invited to present ‘The Impact of Autonomous Vehicles on Ride-Hailing Platforms with Strategic Human Drivers’ at the 2024 INFORMS Manufacturing and Service Operations Management Conference (INFORMS MSOM 2024).