Xiaojin Zhu

Affiliations:
  • University of Wisconsin-Madison, Department of Computer Sciences, WI, USA


According to our database1, Xiaojin Zhu authored at least 149 papers between 1999 and 2022.

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Bibliography

2022
Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning.
CoRR, 2022

Byzantine-Robust Online and Offline Distributed Reinforcement Learning.
CoRR, 2022

Game Redesign in No-regret Game Playing.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Out-of-Distribution Detection with Deep Nearest Neighbors.
Proceedings of the International Conference on Machine Learning, 2022

Corruption-robust Offline Reinforcement Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Provable training set debugging for linear regression.
Mach. Learn., 2021

Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks.
J. Mach. Learn. Res., 2021

Bayesian learning of structures of ordered block graphical models with an application on multistage manufacturing processes.
IISE Trans., 2021

Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments.
CoRR, 2021

Robust Policy Gradient against Strong Data Corruption.
Proceedings of the 38th International Conference on Machine Learning, 2021

VTSV: A Privacy-Preserving Vehicle Trajectory Simulation and Visualization Platform Using Deep Reinforcement Learning.
Proceedings of the GeoAI@SIGSPATIAL 2021: Proceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2021

The Sample Complexity of Teaching by Reinforcement on Q-Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Preference-Based Batch and Sequential Teaching.
CoRR, 2020

Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners.
CoRR, 2020

Learning to Read through Machine Teaching.
CoRR, 2020

The Teaching Dimension of Q-learning.
CoRR, 2020

Theory of Machine Learning Debugging via M-estimation.
CoRR, 2020

Online Data Poisoning Attacks.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Adaptive Reward-Poisoning Attacks against Reinforcement Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

Popular Imperceptibility Measures in Visual Adversarial Attacks are Far from Human Perception.
Proceedings of the Decision and Game Theory for Security - 11th International Conference, 2020

Optimal Attack against Autoregressive Models by Manipulating the Environment.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning.
CoRR, 2019

Error Lower Bounds of Constant Step-size Stochastic Gradient Descent.
CoRR, 2019

Policy Poisoning in Batch Reinforcement Learning and Control.
CoRR, 2019

Can We Distinguish Machine Learning from Human Learning?
CoRR, 2019

Should Adversarial Attacks Use Pixel p-Norm?
CoRR, 2019

Fooling Computer Vision into Inferring the Wrong Body Mass Index.
CoRR, 2019

Online Data Poisoning Attack.
CoRR, 2019

Optimal Adversarial Attack on Autoregressive Models.
CoRR, 2019

Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Data Poisoning against Differentially-Private Learners: Attacks and Defenses.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Teaching a black-box learner.
Proceedings of the 36th International Conference on Machine Learning, 2019

An Optimal Control Approach to Sequential Machine Teaching.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Using Machine Learning to Overcome the Expert Blind Spot for Perceptual Fluency Trainings.
Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

2018
An Optimal Control View of Adversarial Machine Learning.
CoRR, 2018

Learning Root Source with Marked Multivariate Hawkes Processes.
CoRR, 2018

Program Synthesis from Visual Specification.
CoRR, 2018

An Overview of Machine Teaching.
CoRR, 2018

Adversarial Attacks on Stochastic Bandits.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Training Set Camouflage.
Proceedings of the Decision and Game Theory for Security - 9th International Conference, 2018

Data Poisoning Attacks in Contextual Bandits.
Proceedings of the Decision and Game Theory for Security - 9th International Conference, 2018

Machine Beats Human at Sequencing Visuals for Perceptual-Fluency Practice.
Proceedings of the 11th International Conference on Educational Data Mining, 2018

Model, Data and Reward Repair: Trusted Machine Learning for Markov Decision Processes.
Proceedings of the 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2018

Using Machine Learning to Understand Changes in How Youth Discuss Bullying With Celebrities on Social Media.
Proceedings of the Technology, Mind, and Society Conference, 2018

Teacher Improves Learning by Selecting a Training Subset.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Training Set Debugging Using Trusted Items.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Semi-supervised Learning.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Are Key-Foreign Key Joins Safe to Avoid when Learning High-Capacity Classifiers?
Proc. VLDB Endow., 2017

Machine Learning and Formal Method (Dagstuhl Seminar 17351).
Dagstuhl Reports, 2017

Stop That Join! Discarding Dimension Tables when Learning High Capacity Classifiers.
CoRR, 2017

Algorithms for Active Classifier Selection: Maximizing Recall with Precision Constraints.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

No Learner Left Behind: On the Complexity of Teaching Multiple Learners Simultaneously.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Trusted Machine Learning: Model Repair and Data Repair for Probabilistic Models.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

Explicit Defense Actions Against Test-Set Attacks.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
The Teaching Dimension of Linear Learners.
J. Mach. Learn. Res., 2016

Analysis of a Design Pattern for Teaching with Features and Labels.
CoRR, 2016

Machine Teaching as Search.
Proceedings of the Ninth Annual Symposium on Combinatorial Search, 2016

To Join or Not to Join?: Thinking Twice about Joins before Feature Selection.
Proceedings of the 2016 International Conference on Management of Data, 2016

Active Learning with Oracle Epiphany.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Stochastic Multiresolution Persistent Homology Kernel.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

The Label Complexity of Mixed-Initiative Classifier Training.
Proceedings of the 33nd International Conference on Machine Learning, 2016

The Teaching Dimension of Linear Learners.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Top Arm Identification in Multi-Armed Bandits with Batch Arm Pulls.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Data Poisoning Attacks against Autoregressive Models.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
The five W's of "bullying" on Twitter: Who, What, Why, Where, and When.
Comput. Hum. Behav., 2015

Human Memory Search as Initial-Visit Emitting Random Walk.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Cross-architecture performance prediction (XAPP) using CPU code to predict GPU performance.
Proceedings of the 48th International Symposium on Microarchitecture, 2015

S2: An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification.
Proceedings of The 28th Conference on Learning Theory, 2015

What causes category-shifting in human semi-supervised learning?
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

The Security of Latent Dirichlet Allocation.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Machine Teaching: An Inverse Problem to Machine Learning and an Approach Toward Optimal Education.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Using Machine Teaching to Identify Optimal Training-Set Attacks on Machine Learners.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Crop Type Classification by Simultaneous Use of Satellite Images of Different Resolutions.
IEEE Trans. Geosci. Remote. Sens., 2014

Corleone: hands-off crowdsourcing for entity matching.
Proceedings of the International Conference on Management of Data, 2014

Optimal Teaching for Limited-Capacity Human Learners.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

School Bullying in Twitter and Weibo: A Comparative Study.
Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014

Inferring air pollution by sniffing social media.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2013
Human Semi-Supervised Learning.
Top. Cogn. Sci., 2013

Machine Teaching for Bayesian Learners.
CoRR, 2013

Machine Teaching for Bayesian Learners in the Exponential Family.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

An Examination of Regret in Bullying Tweets.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Persistent Homology: An Introduction and a New Text Representation for Natural Language Processing.
Proceedings of the IJCAI 2013, 2013

Socioscope: Spatio-Temporal Signal Recovery from Social Media (Extended Abstract).
Proceedings of the IJCAI 2013, 2013

Learning from Human-Generated Lists.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
Metric Learning for Estimating Psychological Similarities.
ACM Trans. Intell. Syst. Technol., 2012

Robust Spatio-Temporal Signal Recovery from Noisy Counts in Social Media
CoRR, 2012

Socioscope: Spatio-temporal Signal Recovery from Social Media.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Learning from Bullying Traces in Social Media.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

Behavioral Factors in Interactive Training of Text Classifiers.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

Research on peripheral nerve conduction block by high frequency alternating current stimulation.
Proceedings of the 5th International Conference on BioMedical Engineering and Informatics, 2012

Analysis of functional restoration of the lower urinary tract after spinal cord injury using functional electrical stimulation on pudendal nerve.
Proceedings of the 5th International Conference on BioMedical Engineering and Informatics, 2012

2011
How Do Humans Teach: On Curriculum Learning and Teaching Dimension.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Learning Higher-Order Graph Structure with Features by Structure Penalty.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Recovering the toolchain provenance of binary code.
Proceedings of the 20th International Symposium on Software Testing and Analysis, 2011

Fingerprinting 802.11 rate adaption algorithms.
Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

A Framework for Incorporating General Domain Knowledge into Latent Dirichlet Allocation Using First-Order Logic.
Proceedings of the IJCAI 2011, 2011

Who Wrote This Code? Identifying the Authors of Program Binaries.
Proceedings of the Computer Security - ESORICS 2011, 2011

Word Learning through Sensorimotor Child-Parent Interaction: A Feature Selection Approach.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Co-Training as a Human Collaboration Policy.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

OASIS: Online Active Semi-Supervised Learning.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Semi-Supervised Learning.
Proceedings of the Encyclopedia of Machine Learning, 2010

A Machine Learning Approach to TCP Throughput Prediction.
IEEE/ACM Trans. Netw., 2010

Extracting compiler provenance from program binaries.
Proceedings of the 9th ACM SIGPLAN-SIGSOFT Workshop on Program Analysis for Software Tools and Engineering, 2010

Transduction with Matrix Completion: Three Birds with One Stone.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Humans Learn Using Manifolds, Reluctantly.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Cognitive Models of Test-Item Effects in Human Category Learning.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009
Introduction to Semi-Supervised Learning
Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, 2009

Multi-Manifold Semi-Supervised Learning.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

On The Accuracy of TCP Throughput Prediction for Opportunistic Wireless Networks.
Proceedings of the Sixth Annual IEEE Communications Society Conference on Sensor, 2009

Human Rademacher Complexity.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

May All Your Wishes Come True: A Study of Wishes and How to Recognize Them.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Incorporating domain knowledge into topic modeling via Dirichlet Forest priors.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Some new directions in graph-based semi-supervised learning.
Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009

2008
Online Manifold Regularization: A New Learning Setting and Empirical Study.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Unlabeled data: Now it helps, now it doesn't.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Human Active Learning.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Building Community Wikipedias: A Machine-Human Partnership Approach.
Proceedings of the 24th International Conference on Data Engineering, 2008

Easy as ABC? Facilitating Pictorial Communication via Semantically Enhanced Layout.
Proceedings of the Twelfth Conference on Computational Natural Language Learning, 2008

Learning Bigrams from Unigrams.
Proceedings of the ACL 2008, 2008

Semi-Supervised Learning for Natural Language Processing.
Proceedings of the ACL 2008, 2008

Online Learning in Monkeys.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Learning to Analyze Binary Computer Code.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Dissimilarity in Graph-Based Semi-Supervised Classification.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Improving Diversity in Ranking using Absorbing Random Walks.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2007

Semi-supervised classification with hybrid generative/discriminative methods.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Correlation Clustering for Crosslingual Link Detection.
Proceedings of the IJCAI 2007, 2007

A Topic Model for Word Sense Disambiguation.
Proceedings of the EMNLP-CoNLL 2007, 2007

Statistical Debugging Using Latent Topic Models.
Proceedings of the Machine Learning: ECML 2007, 2007

Humans Perform Semi-Supervised Classification Too.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

A Text-to-Picture Synthesis System for Augmenting Communication.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

Kernel Regression with Order Preferences.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Ranking Biomedical Passages for Relevance and Diversity: University of Wisconsin, Madison at TREC Genomics 2006.
Proceedings of the Fifteenth Text REtrieval Conference, 2006

Graph Kernels by Spectral Transforms.
Proceedings of the Semi-Supervised Learning, 2006

2005
Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning.
Proceedings of the Machine Learning, 2005

2004
Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Kernel conditional random fields: representation and clique selection.
Proceedings of the Machine Learning, 2004

2003
Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions.
Proceedings of the Machine Learning, 2003

2001
Whole-sentence exponential language models: a vehicle for linguistic-statistical integration.
Comput. Speech Lang., 2001

Universalizing speech: notes from the USI project.
Proceedings of the EUROSPEECH 2001 Scandinavia, 2001

Improving trigram language modeling with the World Wide Web.
Proceedings of the IEEE International Conference on Acoustics, 2001

A unified design for human-machine voice interaction.
Proceedings of the CHI 2001 Extended Abstracts on Human Factors in Computing Systems, 2001

2000
Multimodal Meeting Tracker.
Proceedings of the Computer-Assisted Information Retrieval (Recherche d'Information et ses Applications), 2000

Towards a universal speech interface.
Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

Towards a Multimodal Meeting Record.
Proceedings of the 2000 IEEE International Conference on Multimedia and Expo, 2000

Segmenting Hands of Arbitrary Color.
Proceedings of the 4th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2000), 2000

1999
Multimodal people ID for a multimedia meeting browser.
Proceedings of the 7th ACM International Conference on Multimedia '99, Orlando, FL, USA, October 30, 1999

Linguistic features for whole sentence maximum entropy language models.
Proceedings of the Sixth European Conference on Speech Communication and Technology, 1999


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