| 2026 | ICPR | Offline Stochastic Optimization of Black-Box Objective Functions. | Juncheng Dong, Zihao Wu, Hamid Jafarkhani, Ali Pezeshki, Vahid Tarokh |
| 2026 | ICPR | Teleportation With Null Space Gradient Projection for Optimization Acceleration. | Zihao Wu, Juncheng Dong, Ahmed Aloui, Vahid Tarokh |
| 2025 | AISTATS | Variational Adversarial Training Towards Policies with Improved Robustness. | Juncheng Dong, Hao-Lun Hsu, Qitong Gao, Vahid Tarokh, Miroslav Pajic |
| 2025 | ICML | In-Context Reinforcement Learning From Suboptimal Historical Data. | Juncheng Dong, Moyang Guo, Ethan X. Fang, Zhuoran Yang, Vahid Tarokh |
| 2025 | UAI | Conditional Average Treatment Effect Estimation Under Hidden Confounders. | Ahmed Aloui, Juncheng Dong, Ali Hasan, Vahid Tarokh |
| 2025 | UAI | CATE Estimation With Potential Outcome Imputation From Local Regression. | Ahmed Aloui, Juncheng Dong, Cat Phuoc Le, Vahid Tarokh |
| 2024 | ICRA | REFORMA: Robust REinFORceMent Learning via Adaptive Adversary for Drones Flying under Disturbances. | Hao-Lun Hsu, Haocheng Meng, Shaocheng Luo, Juncheng Dong, Vahid Tarokh, Miroslav Pajic |
| 2024 | IROS | Steering Decision Transformers via Temporal Difference Learning. | Hao-Lun Hsu, Alper Kamil Bozkurt, Juncheng Dong, Qitong Gao, Vahid Tarokh, Miroslav Pajic |
| 2023 | ICML | PASTA: Pessimistic Assortment Optimization. | Juncheng Dong, Weibin Mo, Zhengling Qi, Cong Shi, Ethan X. Fang, Vahid Tarokh |
| 2023 | UAI | Transfer learning for individual treatment effect estimation. | Ahmed Aloui, Juncheng Dong, Cat P. Le, Vahid Tarokh |
| 2022 | ICLR | Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions. | Juncheng Dong, Simiao Ren, Yang Deng, Omar Khatib, Jordan M. Malof, Mohammadreza Soltani, Willie Padilla, Vahid Tarokh |
| 2022 | ICLR | Task Affinity with Maximum Bipartite Matching in Few-Shot Learning. | Cat Phuoc Le, Juncheng Dong, Mohammadreza Soltani, Vahid Tarokh |