Thanh Vinh Vo - RankMe

26 papers A* 5A 6B 1Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hierarchical Molecular Representation Learning via Fragment-Based Self-Supervised Embedding Prediction. CoRR Jiele Wu, Haozhe Ma, Zhihan Guo, Thanh Vinh Vo, Tze-Yun Leong
2025	A*	`conf`	Catching Two Birds with One Stone: Reward Shaping with Dual Random Networks for Balancing Exploration and Exploitation. ICML Haozhe Ma, Fangling Li, Jing Yu Lim, Zhengding Luo, Thanh Vinh Vo, Tze-Yun Leong
2025	J	`jnl`	Causal Policy Learning in Reinforcement Learning: Backdoor-Adjusted Soft Actor-Critic. CoRR Thanh Vinh Vo, Young Lee, Haozhe Ma, Chien Lu, Tze-Yun Leong
2025	J	`jnl`	Federated causal inference from observational data. Mach. Learn. Thanh Vinh Vo, Young Lee, Tze-Yun Leong
2025	A*	`conf`	Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning. ICLR Haozhe Ma, Zhengding Luo, Thanh Vinh Vo, Kuankuan Sima, Tze-Yun Leong
2024	—	`conf`	Decoupled Prompt-Adapter Tuning for Continual Activity Recognition. CoLLAs Di Fu, Thanh Vinh Vo, Haozhe Ma, Tze-Yun Leong
2024	J	`jnl`	Decoupled Prompt-Adapter Tuning for Continual Activity Recognition. CoRR Di Fu, Thanh Vinh Vo, Haozhe Ma, Tze-Yun Leong
2024	J	`jnl`	Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning. CoRR Haozhe Ma, Zhengding Luo, Thanh Vinh Vo, Kuankuan Sima, Tze-Yun Leong
2024	J	`jnl`	Knowledge Sharing and Transfer via Centralized Reward Agent for Multi-Task Reinforcement Learning. CoRR Haozhe Ma, Zhengding Luo, Thanh Vinh Vo, Kuankuan Sima, Tze-Yun Leong
2024	A	`conf`	Mixed-Initiative Bayesian Sub-Goal Optimization in Hierarchical Reinforcement Learning. AAMAS Haozhe Ma, Thanh Vinh Vo, Tze-Yun Leong
2024	A*	`conf`	Reward Shaping for Reinforcement Learning with An Assistant Reward Agent. ICML Haozhe Ma, Kuankuan Sima, Thanh Vinh Vo, Di Fu, Tze-Yun Leong
2023	J	`jnl`	An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects. CoRR Thanh Vinh Vo, Arnab Bhattacharyya, Young Lee, Tze-Yun Leong
2023	B	`conf`	Discovering Low-Dimensional Causal Pathways between Multiple Interacting Neuronal Populations. CogSci Evangelos Sigalas, Thanh Vinh Vo, Tze-Yun Leong, Camilo Libedinsky
2023	J	`jnl`	Federated Learning of Causal Effects from Incomplete Observational Data. CoRR Thanh Vinh Vo, Young Lee, Tze-Yun Leong
2023	A	`conf`	Hierarchical Reinforcement Learning with Human-AI Collaborative Sub-Goals Optimization. AAMAS Haozhe Ma, Thanh Vinh Vo, Tze-Yun Leong
2023	J	`jnl`	Transfer Kernel Learning for Multi-Source Transfer Gaussian Process Regression. IEEE Trans. Pattern Anal. Mach. Intell. Pengfei Wei, Thanh Vinh Vo, Xinghua Qu, Yew Soon Ong, Zejun Ma
2022	A	`conf`	Adaptive Multi-Source Causal Inference from Observational Data. CIKM Thanh Vinh Vo, Pengfei Wei, Trong Nghia Hoang, Tze-Yun Leong
2022	A*	`conf`	An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects. NeurIPS Thanh Vinh Vo, Arnab Bhattacharyya, Young Lee, Tze-Yun Leong
2022	A	`conf`	Bayesian federated estimation of causal effects from observational data. UAI Thanh Vinh Vo, Young Lee, Trong Nghia Hoang, Tze-Yun Leong
2021	J	`jnl`	Adaptive Multi-Source Causal Inference. CoRR Thanh Vinh Vo, Pengfei Wei, Trong Nghia Hoang, Tze-Yun Leong
2021	A	`conf`	Causal Modeling with Stochastic Confounders. AISTATS Thanh Vinh Vo, Pengfei Wei, Wicher Bergsma, Tze-Yun Leong
2021	J	`jnl`	Federated Estimation of Causal Effects from Observational Data. CoRR Thanh Vinh Vo, Trong Nghia Hoang, Young Lee, Tze-Yun Leong
2020	J	`jnl`	A Causal Modeling Framework with Stochastic Confounders. CoRR Thanh Vinh Vo, Pengfei Wei, Wicher Bergsma, Tze-Yun Leong
2018	J	`jnl`	Generation Meets Recommendation: Proposing Novel Items for Groups of Users. CoRR Thanh Vinh Vo, Harold Soh
2018	A	`conf`	Generation meets recommendation: proposing novel items for groups of users. RecSys Thanh Vinh Vo, Harold Soh
2018	A*	`conf`	Z-Transforms and its Inference on Partially Observable Point Processes. IJCAI Young Lee, Thanh Vinh Vo, Kar Wai Lim, Harold Soh