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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
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Posts
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
publications
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
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]
Neighbourhood-Preserving Dimension Reduction via Localised Multidimensional Scaling
In Theoretical Computer Science (TCS), 2017
Yuzhe Ma, Kun He, John Hopcroft, and Pan Shi [link]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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]
Adversarial Attacks on Adversarial Bandits
In The 11th International Conference on Learning Representations (ICLR), 2023
Yuzhe Ma, and Zhijin Zhou [pdf] (Spotlight)
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]
talks
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.