Xiao-Jin Zhu

Most-cited papers

Semi-Supervised Learning
E. Martin, S. Kaski, Fei Zheng, Geoffrey I. Webb +18 more
2019Encyclopedia of Database Systems4,417 citations Open access
Semantic Scholar
Out-of-distribution Detection with Deep Nearest Neighbors
Yiyou Sun, Yifei Ming, Xiao-Jin Zhu, Yi-Xuan Li
2022International Conference on Machine Learning969 citations Open access
Semantic Scholar
Comparative assessment of environmental variables and machine learning algorithms for maize yield prediction in the US Midwest
Yang-Hui Kang, M. Ozdogan, Xiao-Jin Zhu, Z. Ye +2 more
2020Environmental Research Letters196 citations Open access
Semantic Scholar
An Overview of Machine Teaching
Xiao-Jin Zhu, A. Singla, Sandra Zilles, Anna N. Rafferty
2018arXiv.org195 citations
Semantic Scholar
Data Poisoning against Differentially-Private Learners: Attacks and Defenses
Yu-Zhe Ma, Xiao-Jin Zhu, Justin Hsu
2019International Joint Conference on Artificial Intelligence182 citations Open access
Semantic Scholar
Non-Parametric Outlier Synthesis
Leitian Tao, Xuefeng Du, Xiao-Jin Zhu, Yi-Xuan Li
2023International Conference on Learning Representations180 citations Open access
Semantic Scholar
Adaptive Reward-Poisoning Attacks against Reinforcement Learning
Xuezhou Zhang, Yu-Zhe Ma, A. Singla, Xiao-Jin Zhu
2020International Conference on Machine Learning161 citations
Semantic Scholar
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning
Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiao-Jin Zhu +1 more
2020International Conference on Machine Learning153 citations
Semantic Scholar
Adversarial Attacks on Stochastic Bandits
Kwang-Sung Jun, Lihong Li, Yu-Zhe Ma, Xiao-Jin Zhu
2018Neural Information Processing Systems144 citations
Semantic Scholar
Policy Poisoning in Batch Reinforcement Learning and Control
Yu-Zhe Ma, Xuezhou Zhang, Wen Sun, Xiao-Jin Zhu
2019Neural Information Processing Systems136 citations
Semantic Scholar
Dream the Impossible: Outlier Imagination with Diffusion Models
Xuefeng Du, Yiyou Sun, Xiao-Jin Zhu, Yi-Xuan Li
2023Neural Information Processing Systems114 citations Open access
Semantic Scholar
Debate or Vote: Which Yields Better Decisions in Multi-Agent Large Language Models?
Hyeong Kyu Choi, Xiao-Jin Zhu, Yixuan Li
2025Neural Information Processing Systems107 citations
Semantic Scholar
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning
Xuanqing Liu, Si Si, Xiao-Jin Zhu, Yang Li +1 more
2019Neural Information Processing Systems84 citations
Semantic Scholar
Training Set Debugging Using Trusted Items
Xuezhou Zhang, Xiao-Jin Zhu, Stephen J. Wright
2018AAAI Conference on Artificial Intelligence80 citations Open access
Semantic Scholar
Online Data Poisoning Attacks
Xuezhou Zhang, Xiao-Jin Zhu, Laurent Lessard
2020Conference on Learning for Dynamics & Control78 citations
Semantic Scholar
Data Poisoning Attacks in Contextual Bandits
Yu-Zhe Ma, Kwang-Sung Jun, Lihong Li, Xiao-Jin Zhu
2018Decision and Game Theory for Security74 citations Open access
Semantic Scholar
Differential Patterns of Delayed Emotion Circuit Maturation in Abused Girls with and without Internalizing Psychopathology
Taylor J. Keding, Sara A. Heyn, Justin D. Russell, Xiao-Jin Zhu +3 more
2021American Journal of Psychiatry61 citations Open access
Semantic Scholar
Teaching a black-box learner
S. Dasgupta, Daniel J. Hsu, Stefanos Poulis, Xiao-Jin Zhu
2019International Conference on Machine Learning57 citations
Semantic Scholar
Explicit Defense Actions Against Test-Set Attacks
Scott Alfeld, Xiao-Jin Zhu, P. Barford
2017AAAI Conference on Artificial Intelligence53 citations Open access
Semantic Scholar
Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments
Amin Rakhsha, Xuezhou Zhang, Xiao-Jin Zhu, A. Singla
2021arXiv.org48 citations
Semantic Scholar
Robust Policy Gradient against Strong Data Corruption
Xuezhou Zhang, Yiding Chen, Xiao-Jin Zhu, Wen Sun
2021International Conference on Machine Learning43 citations
Semantic Scholar
Provable Defense against Backdoor Policies in Reinforcement Learning
S. Bharti, Xuezhou Zhang, A. Singla, Xiao-Jin Zhu
2022Neural Information Processing Systems38 citations Open access
Semantic Scholar
Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks
Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiao-Jin Zhu +1 more
2020Journal of machine learning research38 citations
Semantic Scholar
An Optimal Control Approach to Sequential Machine Teaching
Laurent Lessard, Xuezhou Zhang, Xiao-Jin Zhu
2018International Conference on Artificial Intelligence and Statistics38 citations
Semantic Scholar
Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models
Farnam Mansouri, Yuxin Chen, A. Vartanian, Xiao-Jin Zhu +1 more
2019Neural Information Processing Systems35 citations
Semantic Scholar
Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning
Young Wu, Jeremy McMahan, Xiao-Jin Zhu, Qiao-Min Xie
2022AAAI Conference on Artificial Intelligence33 citations Open access
Semantic Scholar
Optimal Attack and Defense for Reinforcement Learning
Jeremy McMahan, Young Wu, Xiao-Jin Zhu, Qiaomin Xie
2023AAAI Conference on Artificial Intelligence30 citations Open access
Semantic Scholar
Online Data Poisoning Attack
Xuezhou Zhang, Xiao-Jin Zhu
2019arXiv.org28 citations
Semantic Scholar
When Identity Skews Debate: Anonymization for Bias-Reduced Multi-Agent Reasoning
Hyeong Kyu Choi, Xiao-Jin Zhu, Sharon Li
2025Annual Meeting of the Association for Computational Linguistics26 citations Open access
Semantic Scholar
Byzantine-Robust Online and Offline Distributed Reinforcement Learning
Yiding Chen, Xuezhou Zhang, K. Zhang, Mengdi Wang +1 more
2022International Conference on Artificial Intelligence and Statistics26 citations Open access
Semantic Scholar
An Optimal Control View of Adversarial Machine Learning
Xiao-Jin Zhu
2018arXiv.org25 citations
Semantic Scholar
Model-guided search for optimal natural-science-category training exemplars: A work in progress
R. Nosofsky, Craig Sanders, Xiao-Jin Zhu, M. McDaniel
2018Psychonomic Bulletin & Review25 citations Open access
Semantic Scholar
Cost-Effective Instant Air Disinfection for Building Ventilation System by a Combination of Uv and Micro-Static Electricity
Yankai Xie, Xiao-Jin Zhu, Peng-Yi Zhang, Shan Wang +2 more
2023Social Science Research Network22 citations
Semantic Scholar
Should Adversarial Attacks Use Pixel p-Norm?
Ayon Sen, Xiao-Jin Zhu, Liam Marshall, R. Nowak
2019arXiv.org22 citations
Semantic Scholar
The Sample Complexity of Teaching by Reinforcement on Q-Learning
Xuezhou Zhang, S. Bharti, Yuzhe Ma, A. Singla +1 more
2021AAAI Conference on Artificial Intelligence16 citations Open access
Semantic Scholar
Teacher Improves Learning by Selecting a Training Subset
Yu-Zhe Ma, R. Nowak, P. Rigollet, Xuezhou Zhang +1 more
2018International Conference on Artificial Intelligence and Statistics16 citations
Semantic Scholar
Mechanism Design for Collaborative Normal Mean Estimation
Yiding Chen, Xiao-Jin Zhu, Kirthevasan Kandasamy
2023Neural Information Processing Systems15 citations Open access
Semantic Scholar
Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems
Yu-Zhe Ma, J. Sharp, Ruizhe Wang, Earlence Fernandes +1 more
2020AAAI Conference on Artificial Intelligence14 citations Open access
Semantic Scholar
Anytime-Constrained Reinforcement Learning
Jeremy McMahan, Xiao-Jin Zhu
2023International Conference on Artificial Intelligence and Statistics13 citations
Semantic Scholar
Game Redesign in No-regret Game Playing
Yu-Zhe Ma, Young Wu, Xiao-Jin Zhu
2021International Joint Conference on Artificial Intelligence13 citations Open access
Semantic Scholar
Optimal Attack against Autoregressive Models by Manipulating the Environment
Yiding Chen, Xiao-Jin Zhu
2019AAAI Conference on Artificial Intelligence12 citations Open access
Semantic Scholar
Machine Beats Human at Sequencing Visuals for Perceptual-Fluency Practice
Ayon Sen, Purav Patel, M. Rau, Blake Mason +3 more
2018Educational Data Mining12 citations
Semantic Scholar
VTSV: A Privacy-Preserving Vehicle Trajectory Simulation and Visualization Platform Using Deep Reinforcement Learning
Jin-Meng Rao, Song Gao, Xiao-Jin Zhu
2021GeoAI@SIGSPATIAL11 citations
Semantic Scholar
Disentangling positive and negative partisanship in social media interactions using a coevolving latent space network with attractors model
Xiao-Jin Zhu, Cantay Caliskan, Dino P. Christenson, K. Spiliopoulos +2 more
20219 citations
Semantic Scholar
Adversary-Aware Learning Techniques and Trends in Cybersecurity
Zhu Contact, J. Lafferty, Ronald Rosenfeld, R. Nosofsky +2 more
20219 citations
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Data Poisoning to Fake a Nash Equilibria for Markov Games
Young Wu, Jeremy McMahan, Xiao-Jin Zhu, Qiaomin Xie
2024AAAI Conference on Artificial Intelligence8 citations Open access
Semantic Scholar
Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners
Yun-Shiuan Chuang, Xuezhou Zhang, Yu-Zhe Ma, Mark K. Ho +2 more
2020Annual Meeting of the Cognitive Science Society8 citations
Semantic Scholar
Algorithms for Active Classifier Selection: Maximizing Recall with Precision Constraints
Paul N. Bennett, D. Chickering, Christopher Meek, Xiao-Jin Zhu
2017Web Search and Data Mining8 citations
Semantic Scholar
Bayesian learning of structures of ordered block graphical models with an application on multistage manufacturing processes
Chao Wang, Xiao-Jin Zhu, Shiyu Zhou, Yingqing Zhou
2020IISE Transactions7 citations
Semantic Scholar
Optimal Adversarial Attack on Autoregressive Models
Yiding Chen, Xiao-Jin Zhu
2019arXiv.org7 citations
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