Ma, Yuzhe

14 publications

ICLR 2025 Computing Circuits Optimization via Model-Based Circuit Genetic Evolution Zhihai Wang, Jie Wang, Xilin Xia, Dongsheng Zuo, Lei Chen, Yuzhe Ma, Jianye Hao, Mingxuan Yuan, Feng Wu

ICML 2024 A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design Zhihai Wang, Jie Wang, Dongsheng Zuo, Ji Yunjie, Xilin Xia, Yuzhe Ma, Jianye Hao, Mingxuan Yuan, Yongdong Zhang, Feng Wu

AAAI 2024 BadRL: Sparse Targeted Backdoor Attack Against Reinforcement Learning Jing Cui, Yufei Han, Yuzhe Ma, Jianbin Jiao, Junge Zhang

AAAI 2024 Towards Automated RISC-V Microarchitecture Design with Reinforcement Learning Chen Bai, Jianwang Zhai, Yuzhe Ma, Bei Yu, Martin D. F. Wong

ICLR 2023 Adversarial Attacks on Adversarial Bandits Yuzhe Ma, Zhijin Zhou

IJCAI 2022 Game Redesign in No-Regret Game Playing Yuzhe Ma, Young Wu, Xiaojin Zhu

AAAI 2021 Sequential Attacks on Kalman Filter-Based Forward Collision Warning Systems Yuzhe Ma, Jon A. Sharp, Ruizhe Wang, Earlence Fernandes, Xiaojin Zhu

AAAI 2021 The Sample Complexity of Teaching by Reinforcement on Q-Learning Xuezhou Zhang, Shubham Kumar Bharti, Yuzhe Ma, Adish Singla, Xiaojin Zhu

ICML 2020 Adaptive Reward-Poisoning Attacks Against Reinforcement Learning Xuezhou Zhang, Yuzhe Ma, Adish Singla, Xiaojin Zhu

NeurIPS 2020 Task-Agnostic Exploration in Reinforcement Learning Xuezhou Zhang, Yuzhe Ma, Adish Singla

IJCAI 2019 Data Poisoning Against Differentially-Private Learners: Attacks and Defenses Yuzhe Ma, Xiaojin Zhu, Justin Hsu

NeurIPS 2019 Policy Poisoning in Batch Reinforcement Learning and Control Yuzhe Ma, Xuezhou Zhang, Wen Sun, Xiaojin Zhu

NeurIPS 2018 Adversarial Attacks on Stochastic Bandits Kwang-Sung Jun, Lihong Li, Yuzhe Ma, Xiaojin Zhu

AISTATS 2018 Teacher Improves Learning by Selecting a Training Subset Yuzhe Ma, Robert Nowak, Philippe Rigollet, Xuezhou Zhang, Xiaojin Zhu