Publications
You can also find my articles on my Google Scholar.
BadRL: Sparse Targeted Backdoor Attack Against Reinforcement Learning
In The Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI), 2024
Jing Cui, Yufei Han, Yuzhe Ma, Jianbin Jiao, and Junge Zhang [pdf]
Adversarial Attacks on Adversarial Bandits
In The 11th International Conference on Learning Representations (ICLR), 2023
Yuzhe Ma, and Zhijin Zhou [pdf] (Spotlight)
Game Redesign in No-regret Game Playing
In The International Joint Conference on Artificial Intelligence (IJCAI), 2022
Yuzhe Ma, Young Wu, and Xiaojin Zhu [pdf]
Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems
In The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021
Yuzhe Ma, Jon Sharp, Ruizhe Wang, Earlence Fernandes, Xiaojin Zhu [pdf]
The Sample Complexity of Teaching by Reinforcement on Q-learning.
In The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021
Xuezhou Zhang, Shubham Kumar Bharti, Yuzhe Ma, Adish Singla, and Xiaojin Zhu [pdf]
Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners
In The 43rd Annual Meeting of the Cognitive Science Society (CogSci), 2021
Yun-Shiuan Chuang, Xuezhou Zhang, Yuzhe Ma, Mark K Ho, Joseph L Austerweil, Xiaojin Zhu [pdf]
Task-agnostic Exploration in Reinforcement Learning
In The Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS), 2020
Xuezhou Zhang, Yuzhe Ma, Adish Singla [pdf]
Adaptive Reward-Poisoning Attacks against Reinforcement Learning
In The Thirty-seventh International Conference on Machine Learning (ICML), 2020
Xuezhou Zhang, Yuzhe Ma, Adish Singla, and Xiaojin Zhu [pdf]
Policy Poisoning in Batch Reinforcement Learning and Control
In The Thirty-third Conference on Neural Information Processing Systems (NeurIPS), 2019
Yuzhe Ma, Xuezhou Zhang, Wen Sun, and Xiaojin Zhu [pdf]
Data Poisoning against Differentially-Private Learners: Attacks and Defenses
In The 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019
Yuzhe Ma, Xiaojin Zhu, and Justin Hsu [pdf]
Collaborative and Privacy-Preserving Machine Teaching via Consensus Optimization
In The International Joint Conference on Neural Networks (IJCNN), 2019
Yufei Han, Yuzhe Ma, Chris Gates, Kevin Roundy, and Yun Shen [pdf]
Adversarial Attacks on Stochastic Bandits
In Thirty-second Conference on Neural Information Processing Systems (NeurIPS), 2018
Kwang-Sung Jun, Lihong Li, Yuzhe Ma, and Xiaojin Zhu (alphabetical order) [pdf]
Data Poisoning Attacks in Contextual Bandits
In The 9th Conference on Decision and Game Theory for Security (GameSec), 2018
Yuzhe Ma, Kwang-Sung Jun, Lihong Li, and Xiaojin Zhu [pdf]
Training Set Camouflage
In The 9th Conference on Decision and Game Theory for Security (GameSec), 2018
Ayon Sen, Scott Alfeld, Xuezhou Zhang, Ara Vartanian, Yuzhe Ma, and Xiaojin Zhu [pdf]
Teacher Improves Learning by Selecting a Training Subset
In The 21st International Conference on Artificial Intelligence and Statistics (AISTATS), 2018
Yuzhe Ma, Robert Nowak, Philippe Rigollet, Xuezhou Zhang, and Xiaojin Zhu [pdf]
Neighbourhood-Preserving Dimension Reduction via Localised Multidimensional Scaling
In Theoretical Computer Science (TCS), 2017
Yuzhe Ma, Kun He, John Hopcroft, and Pan Shi [link]
Nonlinear Dimension Reduction by Local Multi-dimensional Scaling
In The 10th International Frontiers of Algorithmics Workshop (FAW), 2016
Yuzhe Ma, Kun He, John Hopcroft, and Pan Shi [link]
A Primary Research on Overlapping Community Detection
In The 32nd National Conference on Theoretical Computer Science (NCTCS), 2014
Yuzhe Ma, Kun He, Leihua Qin, and Yan Wang