Xiaojin Zhu - RankMe

189 papers A* 47A 17B 8Misc 1Journal 75Unranked 37

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Comparing the deceptive impact of misleading data visualizations: Implications for adaptive data literacy support in computer-based learning environments. Comput. Educ. Jihyun Rho, Martina Angela Rau, Xiaojin Zhu
2025	J	`jnl`	A Cramér-von Mises Approach to Incentivizing Truthful Data Sharing. CoRR Alex Clinton, Thomas Zeng, Yiding Chen, Xiaojin Zhu, Kirthevasan Kandasamy
2025	J	`jnl`	Debate or Vote: Which Yields Better Decisions in Multi-Agent Large Language Models? CoRR Hyeong Kyu Choi, Xiaojin Zhu, Yixuan Li
2025	J	`jnl`	Inoculating students against misleading data visualizations with perceptual training and informative feedback. Comput. Educ. Jihyun Rho, Martina Angela Rau, Xiaojin Zhu
2025	J	`jnl`	Measuring and Mitigating Identity Bias in Multi-Agent Debate via Anonymization. CoRR Hyeong Kyu Choi, Xiaojin Zhu, Sharon Li
2025	J	`jnl`	Optimally Installing Strict Equilibria. CoRR Jeremy McMahan, Young Wu, Yudong Chen, Xiaojin Zhu, Qiaomin Xie
2025	J	`jnl`	The Battling Influencers Game: Nash Equilibria Structure of a Potential Game and Implications to Value Alignment. CoRR Young Wu, Yancheng Zhu, Jin-Yi Cai, Xiaojin Zhu
2025	J	`jnl`	The Delusional Hedge Algorithm as a Model of Human Learning From Diverse Opinions. Top. Cogn. Sci. Yun-Shiuan Chuang, Xiaojin Zhu, Timothy T. Rogers
2024	J	`jnl`	Anytime-Constrained Multi-Agent Reinforcement Learning. CoRR Jeremy McMahan, Xiaojin Zhu
2024	A	`conf`	Anytime-Constrained Reinforcement Learning. AISTATS Jeremy McMahan, Xiaojin Zhu
2024	J	`jnl`	CHARTOM: A Visual Theory-of-Mind Benchmark for Multimodal Large Language Models. CoRR Shubham Kumar Bharti, Shiyun Cheng, Jihyun Rho, Martina Rao, Xiaojin Zhu
2024	A*	`conf`	Data Poisoning to Fake a Nash Equilibria for Markov Games. AAAI Young Wu, Jeremy McMahan, Xiaojin Zhu, Qiaomin Xie
2024	J	`jnl`	Data Sharing for Mean Estimation Among Heterogeneous Strategic Agents. CoRR Alex Clinton, Yiding Chen, Xiaojin Zhu, Kirthevasan Kandasamy
2024	A*	`conf`	Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption. AAAI Yiding Chen, Xuezhou Zhang, Qiaomin Xie, Xiaojin Zhu
2024	J	`jnl`	Inception: Efficiently Computable Misinformation Attacks on Markov Games. CoRR Jeremy McMahan, Young Wu, Yudong Chen, Xiaojin Zhu, Qiaomin Xie
2024	A*	`conf`	Optimal Attack and Defense for Reinforcement Learning. AAAI Jeremy McMahan, Young Wu, Xiaojin Zhu, Qiaomin Xie
2023	J	`jnl`	Anytime-Constrained Reinforcement Learning. CoRR Jeremy McMahan, Xiaojin Zhu
2023	A	`conf`	Byzantine-Robust Online and Offline Distributed Reinforcement Learning. AISTATS Yiding Chen, Xuezhou Zhang, Kaiqing Zhang, Mengdi Wang, Xiaojin Zhu
2023	J	`jnl`	Dream the Impossible: Outlier Imagination with Diffusion Models. CoRR Xuefeng Du, Yiyou Sun, Xiaojin Zhu, Yixuan Li
2023	J	`jnl`	Learning interactions to boost human creativity with bandits and GPT-4. CoRR Ara Vartanian, Xiaoxi Sun, Yun-Shiuan Chuang, Siddharth Suresh, Xiaojin Zhu, Timothy T. Rogers
2023	J	`jnl`	Mechanism Design for Collaborative Normal Mean Estimation. CoRR Yiding Chen, Xiaojin Zhu, Kirthevasan Kandasamy
2023	J	`jnl`	Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value. CoRR Young Wu, Jeremy McMahan, Yiding Chen, Yudong Chen, Xiaojin Zhu, Qiaomin Xie
2023	J	`jnl`	Non-Parametric Outlier Synthesis. CoRR Leitian Tao, Xuefeng Du, Xiaojin Zhu, Yixuan Li
2023	J	`jnl`	On Faking a Nash Equilibrium. CoRR Young Wu, Jeremy McMahan, Xiaojin Zhu, Qiaomin Xie
2023	J	`jnl`	Optimal Attack and Defense for Reinforcement Learning. CoRR Jeremy McMahan, Young Wu, Xiaojin Zhu, Qiaomin Xie
2023	J	`jnl`	Optimally Teaching a Linear Behavior Cloning Agent. CoRR Shubham Kumar Bharti, Stephen Wright, Adish Singla, Xiaojin Zhu
2023	A*	`conf`	Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning. AAAI Young Wu, Jeremy McMahan, Xiaojin Zhu, Qiaomin Xie
2023	J	`jnl`	VISER: A Tractable Solution Concept for Games with Information Asymmetry. CoRR Jeremy McMahan, Young Wu, Yudong Chen, Xiaojin Zhu, Qiaomin Xie
2022	J	`jnl`	Byzantine-Robust Online and Offline Distributed Reinforcement Learning. CoRR Yiding Chen, Xuezhou Zhang, Kaiqing Zhang, Mengdi Wang, Xiaojin Zhu
2022	A	`conf`	Corruption-robust Offline Reinforcement Learning. AISTATS Xuezhou Zhang, Yiding Chen, Xiaojin Zhu, Wen Sun
2022	A*	`conf`	Game Redesign in No-regret Game Playing. IJCAI Yuzhe Ma, Young Wu, Xiaojin Zhu
2022	A*	`conf`	Out-of-Distribution Detection with Deep Nearest Neighbors. ICML Yiyou Sun, Yifei Ming, Xiaojin Zhu, Yixuan Li
2022	J	`jnl`	Out-of-distribution Detection with Deep Nearest Neighbors. CoRR Yiyou Sun, Yifei Ming, Xiaojin Zhu, Yixuan Li
2022	J	`jnl`	Provable Defense against Backdoor Policies in Reinforcement Learning. CoRR Shubham Kumar Bharti, Xuezhou Zhang, Adish Singla, Xiaojin Zhu
2022	J	`jnl`	Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning. CoRR Young Wu, Jeremy McMahan, Xiaojin Zhu, Qiaomin Xie
2021	J	`jnl`	Bayesian learning of structures of ordered block graphical models with an application on multistage manufacturing processes. IISE Trans. Chao Wang, Xiaojin Zhu, Shiyu Zhou, Yingqing Zhou
2021	J	`jnl`	Game Redesign in No-regret Game Playing. CoRR Yuzhe Ma, Young Wu, Xiaojin Zhu
2021	J	`jnl`	Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks. J. Mach. Learn. Res. Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla
2021	J	`jnl`	Provable training set debugging for linear regression. Mach. Learn. Xiaomin Zhang, Xiaojin Zhu, Po-Ling Loh
2021	J	`jnl`	Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments. CoRR Amin Rakhsha, Xuezhou Zhang, Xiaojin Zhu, Adish Singla
2021	A*	`conf`	Robust Policy Gradient against Strong Data Corruption. ICML Xuezhou Zhang, Yiding Chen, Xiaojin Zhu, Wen Sun
2021	J	`jnl`	Robust Policy Gradient against Strong Data Corruption. CoRR Xuezhou Zhang, Yiding Chen, Xiaojin Zhu, Wen Sun
2021	A*	`conf`	Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems. AAAI Yuzhe Ma, Jon A. Sharp, Ruizhe Wang, Earlence Fernandes, Xiaojin Zhu
2021	A*	`conf`	The Sample Complexity of Teaching by Reinforcement on Q-Learning. AAAI Xuezhou Zhang, Shubham Kumar Bharti, Yuzhe Ma, Adish Singla, Xiaojin Zhu
2021	—	`conf`	VTSV: A Privacy-Preserving Vehicle Trajectory Simulation and Visualization Platform Using Deep Reinforcement Learning. GeoAI@SIGSPATIAL Jinmeng Rao, Song Gao, Xiaojin Zhu
2020	A*	`conf`	Adaptive Reward-Poisoning Attacks against Reinforcement Learning. ICML Xuezhou Zhang, Yuzhe Ma, Adish Singla, Xiaojin Zhu
2020	J	`jnl`	Adaptive Reward-Poisoning Attacks against Reinforcement Learning. CoRR Xuezhou Zhang, Yuzhe Ma, Adish Singla, Xiaojin Zhu
2020	J	`jnl`	Learning to Read through Machine Teaching. CoRR Ayon Sen, Christopher R. Cox, Matthew Cooper Borkenhagen, Mark S. Seidenberg, Xiaojin Zhu
2020	—	`conf`	Online Data Poisoning Attacks. L4DC Xuezhou Zhang, Xiaojin Zhu, Laurent Lessard
2020	A*	`conf`	Optimal Attack against Autoregressive Models by Manipulating the Environment. AAAI Yiding Chen, Xiaojin Zhu
2020	J	`jnl`	Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks. CoRR Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla
2020	A*	`conf`	Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning. ICML Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla
2020	J	`jnl`	Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning. CoRR Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla
2020	—	`conf`	Popular Imperceptibility Measures in Visual Adversarial Attacks are Far from Human Perception. GameSec Ayon Sen, Xiaojin Zhu, Erin Marshall, Robert D. Nowak
2020	J	`jnl`	Preference-Based Batch and Sequential Teaching. CoRR Farnam Mansouri, Yuxin Chen, Ara Vartanian, Xiaojin Zhu, Adish Singla
2020	J	`jnl`	Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems. CoRR Yuzhe Ma, Jon A. Sharp, Ruizhe Wang, Earlence Fernandes, Xiaojin Zhu
2020	J	`jnl`	The Teaching Dimension of Q-learning. CoRR Xuezhou Zhang, Shubham Kumar Bharti, Yuzhe Ma, Adish Singla, Xiaojin Zhu
2020	J	`jnl`	Theory of Machine Learning Debugging via M-estimation. CoRR Xiaomin Zhang, Xiaojin Zhu, Po-Ling Loh
2020	J	`jnl`	Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners. CoRR Yun-Shiuan Chuang, Xuezhou Zhang, Yuzhe Ma, Mark K. Ho, Joseph L. Austerweil, Xiaojin Zhu
2019	J	`jnl`	A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning. CoRR Xuanqing Liu, Si Si, Xiaojin Zhu, Yang Li, Cho-Jui Hsieh
2019	A	`conf`	An Optimal Control Approach to Sequential Machine Teaching. AISTATS Laurent Lessard, Xuezhou Zhang, Xiaojin Zhu
2019	J	`jnl`	Can We Distinguish Machine Learning from Human Learning? CoRR Vicki M. Bier, Paul B. Kantor, Gary Lupyan, Xiaojin Zhu
2019	A*	`conf`	Data Poisoning against Differentially-Private Learners: Attacks and Defenses. IJCAI Yuzhe Ma, Xiaojin Zhu, Justin Hsu
2019	J	`jnl`	Data Poisoning against Differentially-Private Learners: Attacks and Defenses. CoRR Yuzhe Ma, Xiaojin Zhu, Justin Hsu
2019	J	`jnl`	Error Lower Bounds of Constant Step-size Stochastic Gradient Descent. CoRR Zhiyan Ding, Yiding Chen, Qin Li, Xiaojin Zhu
2019	J	`jnl`	Fooling Computer Vision into Inferring the Wrong Body Mass Index. CoRR Owen Levin, Zihang Meng, Vikas Singh, Xiaojin Zhu
2019	J	`jnl`	Online Data Poisoning Attack. CoRR Xuezhou Zhang, Xiaojin Zhu
2019	J	`jnl`	Optimal Adversarial Attack on Autoregressive Models. CoRR Yiding Chen, Xiaojin Zhu
2019	J	`jnl`	Policy Poisoning in Batch Reinforcement Learning and Control. CoRR Yuzhe Ma, Xuezhou Zhang, Wen Sun, Xiaojin Zhu
2019	J	`jnl`	Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models. CoRR Farnam Mansouri, Yuxin Chen, Ara Vartanian, Xiaojin Zhu, Adish Singla
2019	J	`jnl`	Should Adversarial Attacks Use Pixel p-Norm? CoRR Ayon Sen, Xiaojin Zhu, Liam Marshall, Robert D. Nowak
2019	A*	`conf`	Teaching a black-box learner. ICML Sanjoy Dasgupta, Daniel Hsu, Stefanos Poulis, Xiaojin Zhu
2019	—	`conf`	Using Machine Learning to Overcome the Expert Blind Spot for Perceptual Fluency Trainings. AIED (1) Martina A. Rau, Ayon Sen, Xiaojin Zhu
2018	J	`jnl`	Adversarial Attacks on Stochastic Bandits. CoRR Kwang-Sung Jun, Lihong Li, Yuzhe Ma, Xiaojin Zhu
2018	J	`jnl`	An Optimal Control Approach to Sequential Machine Teaching. CoRR Laurent Lessard, Xuezhou Zhang, Xiaojin Zhu
2018	J	`jnl`	An Optimal Control View of Adversarial Machine Learning. CoRR Xiaojin Zhu
2018	J	`jnl`	An Overview of Machine Teaching. CoRR Xiaojin Zhu, Adish Singla, Sandra Zilles, Anna N. Rafferty
2018	—	`conf`	Data Poisoning Attacks in Contextual Bandits. GameSec Yuzhe Ma, Kwang-Sung Jun, Lihong Li, Xiaojin Zhu
2018	J	`jnl`	Data Poisoning Attacks in Contextual Bandits. CoRR Yuzhe Ma, Kwang-Sung Jun, Lihong Li, Xiaojin Zhu
2018	J	`jnl`	Learning Root Source with Marked Multivariate Hawkes Processes. CoRR Wei Zhang, Fan Bu, Derek Owens-Oas, Katherine A. Heller, Xiaojin Zhu
2018	B	`conf`	Machine Beats Human at Sequencing Visuals for Perceptual-Fluency Practice. EDM Ayon Sen, Purav Patel, Martina A. Rau, Blake Mason, Robert Nowak, Timothy T. Rogers, Xiaojin Zhu
2018	—	`conf`	Model, Data and Reward Repair: Trusted Machine Learning for Markov Decision Processes. DSN Workshops Shalini Ghosh, Susmit Jha, Ashish Tiwari, Patrick Lincoln, Xiaojin Zhu
2018	J	`jnl`	Program Synthesis from Visual Specification. CoRR Evan Hernandez, Ara Vartanian, Xiaojin Zhu
2018	A	`conf`	Teacher Improves Learning by Selecting a Training Subset. AISTATS Yuzhe Ma, Robert Nowak, Philippe Rigollet, Xuezhou Zhang, Xiaojin Zhu
2018	J	`jnl`	Teacher Improves Learning by Selecting a Training Subset. CoRR Yuzhe Ma, Robert Nowak, Philippe Rigollet, Xuezhou Zhang, Xiaojin Zhu
2018	—	`conf`	Training Set Camouflage. GameSec Ayon Sen, Scott Alfeld, Xuezhou Zhang, Ara Vartanian, Yuzhe Ma, Xiaojin Zhu
2018	J	`jnl`	Training Set Camouflage. CoRR Ayon Sen, Scott Alfeld, Xuezhou Zhang, Ara Vartanian, Yuzhe Ma, Xiaojin Zhu
2018	A*	`conf`	Training Set Debugging Using Trusted Items. AAAI Xuezhou Zhang, Xiaojin Zhu, Stephen J. Wright
2018	J	`jnl`	Training Set Debugging Using Trusted Items. CoRR Xuezhou Zhang, Xiaojin Zhu, Stephen J. Wright
2017	A	`conf`	Algorithms for Active Classifier Selection: Maximizing Recall with Precision Constraints. WSDM Paul N. Bennett, David Maxwell Chickering, Christopher Meek, Xiaojin Zhu
2017	J	`jnl`	Are Key-Foreign Key Joins Safe to Avoid when Learning High-Capacity Classifiers? Proc. VLDB Endow. Vraj Shah, Arun Kumar, Xiaojin Zhu
2017	A*	`conf`	Explicit Defense Actions Against Test-Set Attacks. AAAI Scott Alfeld, Xiaojin Zhu, Paul Barford
2017	A*	`conf`	No Learner Left Behind: On the Complexity of Teaching Multiple Learners Simultaneously. IJCAI Xiaojin Zhu, Ji Liu, Manuel Lopes
2017	—	`ch.`	Semi-supervised Learning. Encyclopedia of Machine Learning and Data Mining Xiaojin Zhu
2017	J	`jnl`	Stop That Join! Discarding Dimension Tables when Learning High Capacity Classifiers. CoRR Vraj Shah, Arun Kumar, Xiaojin Zhu
2017	—	`conf`	Trusted Machine Learning: Model Repair and Data Repair for Probabilistic Models. AAAI Workshops Shalini Ghosh, Patrick Lincoln, Ashish Tiwari, Xiaojin Zhu
2016	—	`conf`	Active Learning with Oracle Epiphany. NIPS Tzu-Kuo Huang, Lihong Li, Ara Vartanian, Saleema Amershi, Xiaojin Zhu
2016	J	`jnl`	Analysis of a Design Pattern for Teaching with Features and Labels. CoRR Christopher Meek, Patrice Y. Simard, Xiaojin Zhu
2016	A*	`conf`	Data Poisoning Attacks against Autoregressive Models. AAAI Scott Alfeld, Xiaojin Zhu, Paul Barford
2016	B	`conf`	Machine Teaching as Search. SOCS Scott Alfeld, Xiaojin Zhu, Paul Barford
2016	A*	`conf`	Stochastic Multiresolution Persistent Homology Kernel. IJCAI Xiaojin Zhu, Ara Vartanian, Manish Bansal, Duy Nguyen, Luke Brandl
2016	A*	`conf`	The Label Complexity of Mixed-Initiative Classifier Training. ICML Jina Suh, Xiaojin Zhu, Saleema Amershi
2016	A*	`conf`	The Teaching Dimension of Linear Learners. ICML Ji Liu, Xiaojin Zhu, Hrag Ohannessian
2016	J	`jnl`	The Teaching Dimension of Linear Learners. J. Mach. Learn. Res. Ji Liu, Xiaojin Zhu
2016	—	`conf`	To Join or Not to Join?: Thinking Twice about Joins before Feature Selection. SIGMOD Conference Arun Kumar, Jeffrey F. Naughton, Jignesh M. Patel, Xiaojin Zhu
2016	A	`conf`	Top Arm Identification in Multi-Armed Bandits with Batch Arm Pulls. AISTATS Kwang-Sung Jun, Kevin Jamieson, Robert D. Nowak, Xiaojin Zhu
2015	A*	`conf`	Cross-architecture performance prediction (XAPP) using CPU code to predict GPU performance. MICRO Newsha Ardalani, Clint Lestourgeon, Karthikeyan Sankaralingam, Xiaojin Zhu
2015	—	`conf`	Human Memory Search as Initial-Visit Emitting Random Walk. NIPS Kwang-Sung Jun, Xiaojin Zhu, Timothy T. Rogers, Zhuoran Yang, Ming Yuan
2015	A*	`conf`	Machine Teaching: An Inverse Problem to Machine Learning and an Approach Toward Optimal Education. AAAI Xiaojin Zhu
2015	A*	`conf`	S2: An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification. COLT Gautam Dasarathy, Robert D. Nowak, Xiaojin Zhu
2015	J	`jnl`	S2: An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification. CoRR Gautam Dasarathy, Robert D. Nowak, Xiaojin Zhu
2015	A	`conf`	The Security of Latent Dirichlet Allocation. AISTATS Shike Mei, Xiaojin Zhu
2015	J	`jnl`	The Teaching Dimension of Linear Learners. CoRR Ji Liu, Xiaojin Zhu
2015	J	`jnl`	The five W's of "bullying" on Twitter: Who, What, Why, Where, and When. Comput. Hum. Behav. Amy Bellmore, Angela J. Calvin, Jun-Ming Xu, Xiaojin Zhu
2015	A*	`conf`	Using Machine Teaching to Identify Optimal Training-Set Attacks on Machine Learners. AAAI Shike Mei, Xiaojin Zhu
2015	B	`conf`	What causes category-shifting in human semi-supervised learning? CogSci Bryan R. Gibson, Timothy T. Rogers, Chuck Kalish, Xiaojin Zhu
2014	—	`conf`	Corleone: hands-off crowdsourcing for entity matching. SIGMOD Conference Chaitanya Gokhale, Sanjib Das, AnHai Doan, Jeffrey F. Naughton, Narasimhan Rampalli, Jude W. Shavlik, Xiaojin Zhu
2014	J	`jnl`	Crop Type Classification by Simultaneous Use of Satellite Images of Different Resolutions. IEEE Trans. Geosci. Remote. Sens. Mark W. Liu, Mutlu Ozdogan, Xiaojin Zhu
2014	B	`conf`	Inferring air pollution by sniffing social media. ASONAM Shike Mei, Han Li, Jing Fan, Xiaojin Zhu, Charles R. Dyer
2014	—	`conf`	Optimal Teaching for Limited-Capacity Human Learners. NIPS Kaustubh R. Patil, Xiaojin Zhu, Lukasz Kopec, Bradley C. Love
2014	A	`conf`	School Bullying in Twitter and Weibo: A Comparative Study. ICWSM Jun-Ming Xu, Hsun-Chih Huang, Amy Bellmore, Xiaojin Zhu
2013	—	`conf`	An Examination of Regret in Bullying Tweets. HLT-NAACL Jun-Ming Xu, Benjamin Burchfiel, Xiaojin Zhu, Amy Bellmore
2013	J	`jnl`	Human Semi-Supervised Learning. Top. Cogn. Sci. Bryan R. Gibson, Timothy T. Rogers, Xiaojin Zhu
2013	—	`conf`	Machine Teaching for Bayesian Learners in the Exponential Family. NIPS Xiaojin Zhu
2013	J	`jnl`	Machine Teaching for Bayesian Learners. CoRR Xiaojin Zhu
2013	A*	`conf`	Persistent Homology: An Introduction and a New Text Representation for Natural Language Processing. IJCAI Xiaojin Zhu
2013	A*	`conf`	Socioscope: Spatio-Temporal Signal Recovery from Social Media (Extended Abstract). IJCAI Jun-Ming Xu, Aniruddha Bhargava, Robert D. Nowak, Xiaojin Zhu
2012	—	`conf`	Analysis of functional restoration of the lower urinary tract after spinal cord injury using functional electrical stimulation on pudendal nerve. BMEI Qian Dong, Guoqing Chen, Qingkai Liu, Zhaohui Ren, Dewu Yang, Nan Cui, Xiaojin Zhu, Xu Zhang
2012	—	`conf`	Behavioral Factors in Interactive Training of Text Classifiers. HLT-NAACL Burr Settles, Xiaojin Zhu
2012	—	`conf`	Learning from Bullying Traces in Social Media. HLT-NAACL Jun-Ming Xu, Kwang-Sung Jun, Xiaojin Zhu, Amy Bellmore
2012	J	`jnl`	Metric Learning for Estimating Psychological Similarities. ACM Trans. Intell. Syst. Technol. Jun-Ming Xu, Xiaojin Zhu, Timothy T. Rogers
2012	—	`conf`	Research on peripheral nerve conduction block by high frequency alternating current stimulation. BMEI Xiaojin Zhu, Xu Zhang, Hui Wang, Chunchan Li, Lili Yan, Qingkai Liu, Zhaohui Ren
2012	J	`jnl`	Robust Spatio-Temporal Signal Recovery from Noisy Counts in Social Media CoRR Jun-Ming Xu, Aniruddha Bhargava, Robert D. Nowak, Xiaojin Zhu
2012	—	`conf`	Socioscope: Spatio-temporal Signal Recovery from Social Media. ECML/PKDD (2) Jun-Ming Xu, Aniruddha Bhargava, Robert D. Nowak, Xiaojin Zhu
2011	A*	`conf`	A Framework for Incorporating General Domain Knowledge into Latent Dirichlet Allocation Using First-Order Logic. IJCAI David Andrzejewski, Xiaojin Zhu, Mark Craven, Benjamin Recht
2011	A*	`conf`	Co-Training as a Human Collaboration Policy. AAAI Xiaojin Zhu, Bryan R. Gibson, Timothy T. Rogers
2011	A*	`conf`	Fingerprinting 802.11 rate adaption algorithms. INFOCOM Mariyam Mirza, Paul Barford, Xiaojin Zhu, Suman Banerjee, Michael Blodgett
2011	A*	`conf`	OASIS: Online Active Semi-Supervised Learning. AAAI Andrew B. Goldberg, Xiaojin Zhu, Alex Furger, Jun-Ming Xu
2011	A	`conf`	Recovering the toolchain provenance of binary code. ISSTA Nathan E. Rosenblum, Barton P. Miller, Xiaojin Zhu
2011	A	`conf`	Who Wrote This Code? Identifying the Authors of Program Binaries. ESORICS Nathan E. Rosenblum, Xiaojin Zhu, Barton P. Miller
2011	B	`conf`	Word Learning through Sensorimotor Child-Parent Interaction: A Feature Selection Approach. CogSci Chen Yu, Jun-Ming Xu, Xiaojin Zhu
2010	J	`jnl`	A Machine Learning Approach to TCP Throughput Prediction. IEEE/ACM Trans. Netw. Mariyam Mirza, Joel Sommers, Paul Barford, Xiaojin Zhu
2010	A*	`conf`	Cognitive Models of Test-Item Effects in Human Category Learning. ICML Xiaojin Zhu, Bryan R. Gibson, Kwang-Sung Jun, Timothy T. Rogers, Joseph Harrison, Chuck Kalish
2010	—	`conf`	Extracting compiler provenance from program binaries. PASTE Nathan E. Rosenblum, Barton P. Miller, Xiaojin Zhu
2010	—	`conf`	Humans Learn Using Manifolds, Reluctantly. NIPS Bryan R. Gibson, Xiaojin Zhu, Timothy T. Rogers, Chuck Kalish, Joseph Harrison
2010	—	`ch.`	Semi-Supervised Learning. Encyclopedia of Machine Learning Xiaojin Zhu
2010	—	`conf`	Transduction with Matrix Completion: Three Birds with One Stone. NIPS Andrew B. Goldberg, Xiaojin Zhu, Ben Recht, Jun-Ming Xu, Robert D. Nowak
2009	—	`conf`	Human Rademacher Complexity. NIPS Xiaojin Zhu, Timothy T. Rogers, Bryan R. Gibson
2009	A*	`conf`	Incorporating domain knowledge into topic modeling via Dirichlet Forest priors. ICML David Andrzejewski, Xiaojin Zhu, Mark Craven
2009	—	`book`	Introduction to Semi-Supervised Learning Xiaojin Zhu, Andrew B. Goldberg
2009	—	`conf`	May All Your Wishes Come True: A Study of Wishes and How to Recognize Them. HLT-NAACL Andrew B. Goldberg, Nathanael Fillmore, David Andrzejewski, Zhiting Xu, Bryan R. Gibson, Xiaojin Zhu
2009	A	`conf`	Multi-Manifold Semi-Supervised Learning. AISTATS Andrew B. Goldberg, Xiaojin Zhu, Aarti Singh, Zhiting Xu, Robert D. Nowak
2009	B	`conf`	On The Accuracy of TCP Throughput Prediction for Opportunistic Wireless Networks. SECON Mariyam Mirza, Kevin Springborn, Suman Banerjee, Paul Barford, Michael Blodgett, Xiaojin Zhu
2009	A	`conf`	Some new directions in graph-based semi-supervised learning. ICME Xiaojin Zhu, Andrew B. Goldberg, Tushar Khot
2008	A*	`conf`	Building Community Wikipedias: A Machine-Human Partnership Approach. ICDE Pedro DeRose, Xiaoyong Chai, Byron J. Gao, Warren Shen, AnHai Doan, Philip Bohannon, Xiaojin Zhu
2008	B	`conf`	Easy as ABC? Facilitating Pictorial Communication via Semantically Enhanced Layout. CoNLL Andrew B. Goldberg, Xiaojin Zhu, Charles R. Dyer, Mohamed Eldawy, Lijie Heng
2008	—	`conf`	Human Active Learning. NIPS Rui M. Castro, Charles Kalish, Robert D. Nowak, Ruichen Qian, Timothy T. Rogers, Xiaojin Zhu
2008	A*	`conf`	Learning Bigrams from Unigrams. ACL Xiaojin Zhu, Andrew B. Goldberg, Michael G. Rabbat, Robert D. Nowak
2008	A*	`conf`	Learning to Analyze Binary Computer Code. AAAI Nathan E. Rosenblum, Xiaojin Zhu, Barton P. Miller, Karen Hunt
2008	A*	`conf`	Online Learning in Monkeys. AAAI Xiaojin Zhu, Michael Coen, Shelley Prudom, Ricki Colman, Joseph W. Kemnitz
2008	—	`conf`	Online Manifold Regularization: A New Learning Setting and Empirical Study. ECML/PKDD (1) Andrew B. Goldberg, Ming Li, Xiaojin Zhu
2008	—	`conf`	Semi-Supervised Learning for Natural Language Processing. ACL (Tutorial Abstracts) John Blitzer, Xiaojin Zhu
2008	—	`conf`	Unlabeled data: Now it helps, now it doesn't. NIPS Aarti Singh, Robert D. Nowak, Xiaojin Zhu
2007	A*	`conf`	A Text-to-Picture Synthesis System for Augmenting Communication. AAAI Xiaojin Zhu, Andrew B. Goldberg, Mohamed Eldawy, Charles R. Dyer, Bradley Strock
2007	—	`conf`	A Topic Model for Word Sense Disambiguation. EMNLP-CoNLL Jordan L. Boyd-Graber, David M. Blei, Xiaojin Zhu
2007	A*	`conf`	A machine learning approach to TCP throughput prediction. SIGMETRICS Mariyam Mirza, Joel Sommers, Paul Barford, Xiaojin Zhu
2007	A*	`conf`	Correlation Clustering for Crosslingual Link Detection. IJCAI Jurgen Van Gael, Xiaojin Zhu
2007	A	`conf`	Dissimilarity in Graph-Based Semi-Supervised Classification. AISTATS Andrew B. Goldberg, Xiaojin Zhu, Stephen J. Wright
2007	A*	`conf`	Humans Perform Semi-Supervised Classification Too. AAAI Xiaojin Zhu, Timothy T. Rogers, Ruichen Qian, Chuck Kalish
2007	—	`conf`	Improving Diversity in Ranking using Absorbing Random Walks. HLT-NAACL Xiaojin Zhu, Andrew B. Goldberg, Jurgen Van Gael, David Andrzejewski
2007	A*	`conf`	Kernel Regression with Order Preferences. AAAI Xiaojin Zhu, Andrew B. Goldberg
2007	A*	`conf`	Semi-supervised classification with hybrid generative/discriminative methods. KDD Gregory Druck, Chris Pal, Andrew McCallum, Xiaojin Zhu
2007	—	`conf`	Statistical Debugging Using Latent Topic Models. ECML David Andrzejewski, Anne Mulhern, Ben Liblit, Xiaojin Zhu
2006	—	`ch.`	Graph Kernels by Spectral Transforms. Semi-Supervised Learning Xiaojin Zhu, Jaz S. Kandola, John Lafferty, Zoubin Ghahramani
2006	—	`conf`	Ranking Biomedical Passages for Relevance and Diversity: University of Wisconsin, Madison at TREC Genomics 2006. TREC Andrew B. Goldberg, David Andrzejewski, Jurgen Van Gael, Burr Settles, Xiaojin Zhu, Mark Craven
2005	A*	`conf`	Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning. ICML Xiaojin Zhu, John D. Lafferty
2004	A*	`conf`	Kernel conditional random fields: representation and clique selection. ICML John D. Lafferty, Xiaojin Zhu, Yan Liu
2004	—	`conf`	Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning. NIPS Xiaojin Zhu, Jaz S. Kandola, Zoubin Ghahramani, John D. Lafferty
2003	A*	`conf`	Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions. ICML Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty
2001	—	`conf`	A unified design for human-machine voice interaction. CHI Extended Abstracts Stefanie Shriver, Arthur R. Toth, Xiaojin Zhu, Alexander I. Rudnicky, Roni Rosenfeld
2001	Misc	`conf`	Improving trigram language modeling with the World Wide Web. ICASSP Xiaojin Zhu, Ronald Rosenfeld
2001	A	`conf`	Universalizing speech: notes from the USI project. INTERSPEECH Stefanie Shriver, Roni Rosenfeld, Xiaojin Zhu, Arthur R. Toth, Alexander I. Rudnicky, Markus D. Flückiger
2001	J	`jnl`	Whole-sentence exponential language models: a vehicle for linguistic-statistical integration. Comput. Speech Lang. Ronald Rosenfeld, Stanley F. Chen, Xiaojin Zhu
2000	—	`conf`	Multimodal Meeting Tracker. RIAO Michael Bett, Ralph Gross, Hua Yu, Xiaojin Zhu, Yue Pan, Jie Yang, Alex Waibel
2000	B	`conf`	Segmenting Hands of Arbitrary Color. FG Xiaojin Zhu, Jie Yang, Alex Waibel
2000	A	`conf`	Towards a Multimodal Meeting Record. IEEE International Conference on Multimedia and Expo (III) Ralph Gross, Michael Bett, Hua Yu, Xiaojin Zhu, Yue Pan, Jie Yang, Alex Waibel
2000	A	`conf`	Towards a universal speech interface. INTERSPEECH Roni Rosenfeld, Xiaojin Zhu, Arthur R. Toth, Stefanie Shriver, Kevin A. Lenzo, Alan W. Black
1999	—	`conf`	Linguistic features for whole sentence maximum entropy language models. EUROSPEECH Xiaojin Zhu, Stanley F. Chen, Ronald Rosenfeld
1999	A*	`conf`	Multimodal people ID for a multimedia meeting browser. ACM Multimedia (1) Jie Yang, Xiaojin Zhu, Ralph Gross, John Kominek, Yue Pan, Alex Waibel