Haozhe Ma - RankMe

21 papers A* 4A 2Journal 11Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Stabilized Hybrid Active Noise Control Algorithm of GFANC and FxNLMS with Online Clustering. CoRR Zhengding Luo, Haozhe Ma, Boxiang Wang, Ziyi Yang, Dongyuan Shi, Woon-Seng Gan
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`	Exploration by Random Reward Perturbation. CoRR Haozhe Ma, Guoji Fu, Zhengding Luo, Jiele Wu, Tze-Yun Leong
2025	A*	`conf`	From Notation to Gesture: Virtual Conductor Gesture Generation in VR Via Structured Score Semantics. ISMAR Haozhe Ma, Yuxin Shen, Wei Liang, Yunde Jia
2025	—	`conf`	HasRL Robot: A Heterogeneous Asynchronous Reinforcement Learning System for High-Dimensional Bipedal Control. APSIPA Jingyang Mai, Zechen Guo, Zhengding Luo, Haozhe Ma
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
2025	J	`jnl`	Human Motion Estimation with Everyday Wearables. CoRR Siqi Zhu, Yixuan Li, Junfu Li, Qi Wu, Zan Wang, Haozhe Ma, Wei Liang
2025	J	`jnl`	JEDI: Latent End-to-end Diffusion Mitigates Agent-Human Performance Asymmetry in Model-Based Reinforcement Learning. CoRR Jing Yu Lim, Zarif Ikram, Samson Yu, Haozhe Ma, Tze-Yun Leong, Dianbo Liu
2025	J	`jnl`	MacroNav: Multi-Task Context Representation Learning Enables Efficient Navigation in Unknown Environments. CoRR Kuankuan Sima, Longbin Tang, Haozhe Ma, Lin Zhao
2025	—	`conf`	Reinforcement Learning in Portfolio Management: A Survey of Methods and Trends. APSIPA Silan Hu, Yulin Huang, Arjun Agarwal, Tanya Warrier, Yuwen Wang, Haozhe Ma, Zhengding Luo
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`	GFANC-RL: Reinforcement Learning-based Generative Fixed-filter Active Noise Control. Neural Networks Zhengding Luo, Haozhe Ma, Dongyuan Shi, Woon-Seng Gan
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	A	`conf`	Hierarchical Reinforcement Learning with Human-AI Collaborative Sub-Goals Optimization. AAMAS Haozhe Ma, Thanh Vinh Vo, Tze-Yun Leong
2021	—	`conf`	Day-lily Robot Bottom Control System Based on Cloud Platform. ICAIIS Shuyi Wei, Haozhe Ma, Xiuxia Zhang