| 2025 | ICLR | Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning. | Haozhe Ma, Zhengding Luo, Thanh Vinh Vo, Kuankuan Sima, Tze-Yun Leong |
| 2025 | ICML | Catching Two Birds with One Stone: Reward Shaping with Dual Random Networks for Balancing Exploration and Exploitation. | Haozhe Ma, Fangling Li, Jing Yu Lim, Zhengding Luo, Thanh Vinh Vo, Tze-Yun Leong |
| 2024 | ICML | Reward Shaping for Reinforcement Learning with An Assistant Reward Agent. | Haozhe Ma, Kuankuan Sima, Thanh Vinh Vo, Di Fu, Tze-Yun Leong |
| 2023 | CogSci | Discovering Low-Dimensional Causal Pathways between Multiple Interacting Neuronal Populations. | Evangelos Sigalas, Thanh Vinh Vo, Tze-Yun Leong, Camilo Libedinsky |
| 2022 | CIKM | Adaptive Multi-Source Causal Inference from Observational Data. | Thanh Vinh Vo, Pengfei Wei, Trong Nghia Hoang, Tze-Yun Leong |
| 2022 | UAI | Bayesian federated estimation of causal effects from observational data. | Thanh Vinh Vo, Young Lee, Trong Nghia Hoang, Tze-Yun Leong |
| 2021 | AISTATS | Causal Modeling with Stochastic Confounders. | Thanh Vinh Vo, Pengfei Wei, Wicher Bergsma, Tze-Yun Leong |
| 2018 | IJCAI | Z-Transforms and its Inference on Partially Observable Point Processes. | Young Lee, Thanh Vinh Vo, Kar Wai Lim, Harold Soh |
| 2018 | RecSys | Generation meets recommendation: proposing novel items for groups of users. | Thanh Vinh Vo, Harold Soh |