| 2024 | AAAI | Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption. | Yiding Chen, Xuezhou Zhang, Qiaomin Xie, Xiaojin Zhu |
| 2024 | AAAI | Optimal Attack and Defense for Reinforcement Learning. | Jeremy McMahan, Young Wu, Xiaojin Zhu, Qiaomin Xie |
| 2024 | AAAI | Data Poisoning to Fake a Nash Equilibria for Markov Games. | Young Wu, Jeremy McMahan, Xiaojin Zhu, Qiaomin Xie |
| 2024 | AISTATS | Anytime-Constrained Reinforcement Learning. | Jeremy McMahan, Xiaojin Zhu |
| 2023 | AAAI | Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning. | Young Wu, Jeremy McMahan, Xiaojin Zhu, Qiaomin Xie |
| 2023 | AISTATS | Byzantine-Robust Online and Offline Distributed Reinforcement Learning. | Yiding Chen, Xuezhou Zhang, Kaiqing Zhang, Mengdi Wang, Xiaojin Zhu |
| 2022 | AISTATS | Corruption-robust Offline Reinforcement Learning. | Xuezhou Zhang, Yiding Chen, Xiaojin Zhu, Wen Sun |
| 2022 | ICML | Out-of-Distribution Detection with Deep Nearest Neighbors. | Yiyou Sun, Yifei Ming, Xiaojin Zhu, Yixuan Li |
| 2022 | IJCAI | Game Redesign in No-regret Game Playing. | Yuzhe Ma, Young Wu, Xiaojin Zhu |
| 2021 | AAAI | Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems. | Yuzhe Ma, Jon A. Sharp, Ruizhe Wang, Earlence Fernandes, Xiaojin Zhu |
| 2021 | AAAI | The Sample Complexity of Teaching by Reinforcement on Q-Learning. | Xuezhou Zhang, Shubham Kumar Bharti, Yuzhe Ma, Adish Singla, Xiaojin Zhu |
| 2021 | ICML | Robust Policy Gradient against Strong Data Corruption. | Xuezhou Zhang, Yiding Chen, Xiaojin Zhu, Wen Sun |
| 2020 | AAAI | Optimal Attack against Autoregressive Models by Manipulating the Environment. | Yiding Chen, Xiaojin Zhu |
| 2020 | ICML | Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning. | Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla |
| 2020 | ICML | Adaptive Reward-Poisoning Attacks against Reinforcement Learning. | Xuezhou Zhang, Yuzhe Ma, Adish Singla, Xiaojin Zhu |
| 2019 | AIED | Using Machine Learning to Overcome the Expert Blind Spot for Perceptual Fluency Trainings. | Martina A. Rau, Ayon Sen, Xiaojin Zhu |
| 2019 | AISTATS | An Optimal Control Approach to Sequential Machine Teaching. | Laurent Lessard, Xuezhou Zhang, Xiaojin Zhu |
| 2019 | ICML | Teaching a black-box learner. | Sanjoy Dasgupta, Daniel Hsu, Stefanos Poulis, Xiaojin Zhu |
| 2019 | IJCAI | Data Poisoning against Differentially-Private Learners: Attacks and Defenses. | Yuzhe Ma, Xiaojin Zhu, Justin Hsu |
| 2018 | AAAI | Training Set Debugging Using Trusted Items. | Xuezhou Zhang, Xiaojin Zhu, Stephen J. Wright |
| 2018 | AISTATS | Teacher Improves Learning by Selecting a Training Subset. | Yuzhe Ma, Robert Nowak, Philippe Rigollet, Xuezhou Zhang, Xiaojin Zhu |
| 2018 | DCC | Practical Succinct Text Indexes in External Memory. | Hongwei Huo, Xiaoyang Chen, Yuhao Zhao, Xiaojin Zhu, Jeffrey Scott Vitter |
| 2018 | DSN | Model, Data and Reward Repair: Trusted Machine Learning for Markov Decision Processes. | Shalini Ghosh, Susmit Jha, Ashish Tiwari, Patrick Lincoln, Xiaojin Zhu |
| 2018 | EDM | Machine Beats Human at Sequencing Visuals for Perceptual-Fluency Practice. | Ayon Sen, Purav Patel, Martina A. Rau, Blake Mason, Robert Nowak, Timothy T. Rogers, Xiaojin Zhu |
| 2017 | AAAI | Explicit Defense Actions Against Test-Set Attacks. | Scott Alfeld, Xiaojin Zhu, Paul Barford |
| 2017 | AAAI | Trusted Machine Learning: Model Repair and Data Repair for Probabilistic Models. | Shalini Ghosh, Patrick Lincoln, Ashish Tiwari, Xiaojin Zhu |
| 2017 | IJCAI | No Learner Left Behind: On the Complexity of Teaching Multiple Learners Simultaneously. | Xiaojin Zhu, Ji Liu, Manuel Lopes |
| 2017 | WSDM | Algorithms for Active Classifier Selection: Maximizing Recall with Precision Constraints. | Paul N. Bennett, David Maxwell Chickering, Christopher Meek, Xiaojin Zhu |
| 2016 | AAAI | Data Poisoning Attacks against Autoregressive Models. | Scott Alfeld, Xiaojin Zhu, Paul Barford |
| 2016 | AISTATS | Top Arm Identification in Multi-Armed Bandits with Batch Arm Pulls. | Kwang-Sung Jun, Kevin Jamieson, Robert D. Nowak, Xiaojin Zhu |
| 2016 | ICML | The Teaching Dimension of Linear Learners. | Ji Liu, Xiaojin Zhu, Hrag Ohannessian |
| 2016 | ICML | The Label Complexity of Mixed-Initiative Classifier Training. | Jina Suh, Xiaojin Zhu, Saleema Amershi |
| 2016 | IJCAI | Stochastic Multiresolution Persistent Homology Kernel. | Xiaojin Zhu, Ara Vartanian, Manish Bansal, Duy Nguyen, Luke Brandl |
| 2016 | SIGMOD | To Join or Not to Join?: Thinking Twice about Joins before Feature Selection. | Arun Kumar, Jeffrey F. Naughton, Jignesh M. Patel, Xiaojin Zhu |
| 2016 | SoCS | Machine Teaching as Search. | Scott Alfeld, Xiaojin Zhu, Paul Barford |
| 2015 | AAAI | Using Machine Teaching to Identify Optimal Training-Set Attacks on Machine Learners. | Shike Mei, Xiaojin Zhu |
| 2015 | AAAI | Machine Teaching: An Inverse Problem to Machine Learning and an Approach Toward Optimal Education. | Xiaojin Zhu |
| 2015 | AISTATS | The Security of Latent Dirichlet Allocation. | Shike Mei, Xiaojin Zhu |
| 2015 | CogSci | What causes category-shifting in human semi-supervised learning? | Bryan R. Gibson, Timothy T. Rogers, Chuck Kalish, Xiaojin Zhu |
| 2015 | COLT | S2: An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification. | Gautam Dasarathy, Robert D. Nowak, Xiaojin Zhu |
| 2015 | MICRO | Cross-architecture performance prediction (XAPP) using CPU code to predict GPU performance. | Newsha Ardalani, Clint Lestourgeon, Karthikeyan Sankaralingam, Xiaojin Zhu |
| 2014 | ICWSM | School Bullying in Twitter and Weibo: A Comparative Study. | Jun-Ming Xu, Hsun-Chih Huang, Amy Bellmore, Xiaojin Zhu |
| 2014 | SIGMOD | Corleone: hands-off crowdsourcing for entity matching. | Chaitanya Gokhale, Sanjib Das, AnHai Doan, Jeffrey F. Naughton, Narasimhan Rampalli, Jude W. Shavlik, Xiaojin Zhu |
| 2013 | IJCAI | Socioscope: Spatio-Temporal Signal Recovery from Social Media (Extended Abstract). | Jun-Ming Xu, Aniruddha Bhargava, Robert D. Nowak, Xiaojin Zhu |
| 2013 | IJCAI | Persistent Homology: An Introduction and a New Text Representation for Natural Language Processing. | Xiaojin Zhu |
| 2013 | NAACL | An Examination of Regret in Bullying Tweets. | Jun-Ming Xu, Benjamin Burchfiel, Xiaojin Zhu, Amy Bellmore |
| 2012 | NAACL | Behavioral Factors in Interactive Training of Text Classifiers. | Burr Settles, Xiaojin Zhu |
| 2012 | NAACL | Learning from Bullying Traces in Social Media. | Jun-Ming Xu, Kwang-Sung Jun, Xiaojin Zhu, Amy Bellmore |
| 2011 | AAAI | OASIS: Online Active Semi-Supervised Learning. | Andrew B. Goldberg, Xiaojin Zhu, Alex Furger, Jun-Ming Xu |
| 2011 | AAAI | Co-Training as a Human Collaboration Policy. | Xiaojin Zhu, Bryan R. Gibson, Timothy T. Rogers |
| 2011 | CogSci | Word Learning through Sensorimotor Child-Parent Interaction: A Feature Selection Approach. | Chen Yu, Jun-Ming Xu, Xiaojin Zhu |
| 2011 | ESORICS | Who Wrote This Code? Identifying the Authors of Program Binaries. | Nathan E. Rosenblum, Xiaojin Zhu, Barton P. Miller |
| 2011 | IJCAI | A Framework for Incorporating General Domain Knowledge into Latent Dirichlet Allocation Using First-Order Logic. | David Andrzejewski, Xiaojin Zhu, Mark Craven, Benjamin Recht |
| 2011 | INFOCOM | Fingerprinting 802.11 rate adaption algorithms. | Mariyam Mirza, Paul Barford, Xiaojin Zhu, Suman Banerjee, Michael Blodgett |
| 2011 | ISSTA | Recovering the toolchain provenance of binary code. | Nathan E. Rosenblum, Barton P. Miller, Xiaojin Zhu |
| 2010 | ICML | Cognitive Models of Test-Item Effects in Human Category Learning. | Xiaojin Zhu, Bryan R. Gibson, Kwang-Sung Jun, Timothy T. Rogers, Joseph Harrison, Chuck Kalish |
| 2010 | ICNC | Experimental research and verification for Coullet chaos system. | Xiaojin Zhu, Zhiyan Chen, Zhiyuan Gao, Xiaojun Wu |
| 2009 | ICML | Incorporating domain knowledge into topic modeling via Dirichlet Forest priors. | David Andrzejewski, Xiaojin Zhu, Mark Craven |
| 2009 | NAACL | May All Your Wishes Come True: A Study of Wishes and How to Recognize Them. | Andrew B. Goldberg, Nathanael Fillmore, David Andrzejewski, Zhiting Xu, Bryan R. Gibson, Xiaojin Zhu |
| 2009 | SECON | On The Accuracy of TCP Throughput Prediction for Opportunistic Wireless Networks. | Mariyam Mirza, Kevin Springborn, Suman Banerjee, Paul Barford, Michael Blodgett, Xiaojin Zhu |
| 2008 | AAAI | Learning to Analyze Binary Computer Code. | Nathan E. Rosenblum, Xiaojin Zhu, Barton P. Miller, Karen Hunt |
| 2008 | AAAI | Online Learning in Monkeys. | Xiaojin Zhu, Michael Coen, Shelley Prudom, Ricki Colman, Joseph W. Kemnitz |
| 2008 | ACL | Semi-Supervised Learning for Natural Language Processing. | John Blitzer, Xiaojin Zhu |
| 2008 | ACL | Learning Bigrams from Unigrams. | Xiaojin Zhu, Andrew B. Goldberg, Michael G. Rabbat, Robert D. Nowak |
| 2008 | CoNLL | Easy as ABC? Facilitating Pictorial Communication via Semantically Enhanced Layout. | Andrew B. Goldberg, Xiaojin Zhu, Charles R. Dyer, Mohamed Eldawy, Lijie Heng |
| 2008 | ICDE | Building Community Wikipedias: A Machine-Human Partnership Approach. | Pedro DeRose, Xiaoyong Chai, Byron J. Gao, Warren Shen, AnHai Doan, Philip Bohannon, Xiaojin Zhu |
| 2007 | AAAI | Kernel Regression with Order Preferences. | Xiaojin Zhu, Andrew B. Goldberg |
| 2007 | AAAI | A Text-to-Picture Synthesis System for Augmenting Communication. | Xiaojin Zhu, Andrew B. Goldberg, Mohamed Eldawy, Charles R. Dyer, Bradley Strock |
| 2007 | AAAI | Humans Perform Semi-Supervised Classification Too. | Xiaojin Zhu, Timothy T. Rogers, Ruichen Qian, Chuck Kalish |
| 2007 | EMNLP | A Topic Model for Word Sense Disambiguation. | Jordan L. Boyd-Graber, David M. Blei, Xiaojin Zhu |
| 2007 | IJCAI | Correlation Clustering for Crosslingual Link Detection. | Jurgen Van Gael, Xiaojin Zhu |
| 2007 | KDD | Semi-supervised classification with hybrid generative/discriminative methods. | Gregory Druck, Chris Pal, Andrew McCallum, Xiaojin Zhu |
| 2007 | NAACL | Improving Diversity in Ranking using Absorbing Random Walks. | Xiaojin Zhu, Andrew B. Goldberg, Jurgen Van Gael, David Andrzejewski |
| 2007 | SIGMETRICS | A machine learning approach to TCP throughput prediction. | Mariyam Mirza, Joel Sommers, Paul Barford, Xiaojin Zhu |
| 2005 | ICML | Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning. | Xiaojin Zhu, John D. Lafferty |
| 2004 | ICML | Kernel conditional random fields: representation and clique selection. | John D. Lafferty, Xiaojin Zhu, Yan Liu |
| 2003 | ICML | Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions. | Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty |
| 2001 | CHI | A unified design for human-machine voice interaction. | Stefanie Shriver, Arthur R. Toth, Xiaojin Zhu, Alexander I. Rudnicky, Roni Rosenfeld |
| 2001 | ICASSP | Improving trigram language modeling with the World Wide Web. | Xiaojin Zhu, Ronald Rosenfeld |
| 2001 | Interspeech | Universalizing speech: notes from the USI project. | Stefanie Shriver, Roni Rosenfeld, Xiaojin Zhu, Arthur R. Toth, Alexander I. Rudnicky, Markus D. Flckiger |
| 2000 | Interspeech | Towards a universal speech interface. | Roni Rosenfeld, Xiaojin Zhu, Arthur R. Toth, Stefanie Shriver, Kevin A. Lenzo, Alan W. Black |
| 1999 | Interspeech | Linguistic features for whole sentence maximum entropy language models. | Xiaojin Zhu, Stanley F. Chen, Ronald Rosenfeld |