| 2026 | ICPR | ViTs for Action Classification in Videos: An Approach to Risky Tackle Detection in American Football Practice Videos. | Syed Ahsan Masud Zaidi, William H. Hsu, Scott Dietrich |
| 2024 | IJCNN | Analyzing the Sensitivity to Policy-Value Decoupling in Deep Reinforcement Learning Generalization. | Nasik Muhammad Nafi, Raja Farrukh Ali, William H. Hsu |
| 2023 | AAAI | Multi-Horizon Learning in Procedurally-Generated Environments for Off-Policy Reinforcement Learning (Student Abstract). | Raja Farrukh Ali, Kevin Duong, Nasik Muhammad Nafi, William H. Hsu |
| 2023 | ICMLA | Attention-Augmented Parametric Kernel Graph Neural Network (APKGNN) for Node Classification. | Avishek Bose, William H. Hsu |
| 2023 | ICMLA | Relevant Instance Segmentation in American Football Practice Images to Aid Risky Tackle Detection. | Nasik Muhammad Nafi, Ashley Rediger, Scott Dietrich, William H. Hsu |
| 2023 | IJCNN | Policy Optimization with Augmented Value Targets for Generalization in Reinforcement Learning. | Nasik Muhammad Nafi, Giovanni Poggi-Corradini, William H. Hsu |
| 2023 | ISI | Context-Augmented Key Phrase Extraction from Short Texts for Cyber Threat Intelligence Tasks. | Avishek Bose, Huichen Yang, Marissa Shivers, Ahat Orazgeldiyev, William H. Hsu |
| 2022 | ICANN | AMMUNIT: An Attention-Based Multimodal Multi-domain UNsupervised Image-to-Image Translation Framework. | Lei Luo, William H. Hsu |
| 2022 | ICIP | Transformer-Based Approach for Document Layout Understanding. | Huichen Yang, William H. Hsu |
| 2022 | ICMLA | Attention-based Partial Decoupling of Policy and Value for Generalization in Reinforcement Learning. | Nasik Muhammad Nafi, Creighton Glasscock, William H. Hsu |
| 2022 | PPAM | High Performance Computing Queue Time Prediction Using Clustering and Regression. | Scott Hutchison, Daniel Andresen, Mitchell L. Neilsen, William H. Hsu, Benjamin Parsons |
| 2021 | AAAI | Named Entity Recognition from Synthesis Procedural Text in Materials Science Domain with Attention-Based Approach. | Huichen Yang, William H. Hsu |
| 2021 | CAIP | eGAN: Unsupervised Approach to Class Imbalance Using Transfer Learning. | Ademola Okerinde, William H. Hsu, Tom Theis, Nasik Muhammad Nafi, Lior Shamir |
| 2021 | ICANN | Towards Fine-Grained Control over Latent Space for Unpaired Image-to-Image Translation. | Lei Luo, William H. Hsu, Shangxian Wang |
| 2021 | ICMV | Automatic metadata information extraction from scientific literature using deep neural networks. | Huichen Yang, William H. Hsu |
| 2021 | ISI | Tracing Relevant Twitter Accounts Active in Cyber Threat Intelligence Domain by Exploiting Content and Structure of Twitter Network. | Avishek Bose, Shreya Gopal Sundari, Vahid Behzadan, William H. Hsu |
| 2020 | ICMV | Shape-aware generative adversarial networks for attribute transfer. | Lei Luo, William H. Hsu |
| 2020 | ICPR | Vision-Based Layout Detection from Scientific Literature using Recurrent Convolutional Neural Networks. | Huichen Yang, William H. Hsu |
| 2019 | ICDAR | Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science. | Huichen Yang, Alice Lam, Thomas Yong-Jin Han, David Buttler, William H. Hsu, Carlos A. Aguirre, Maria F. De La Torre, Derek Christensen, Luis Bobadilla, Emily Davich, Jordan Roth, Lei Luo, Yihong Theis |
| 2019 | IJCAI | Adversarial Exploitation of Policy Imitation. | Vahid Behzadan, William H. Hsu |
| 2019 | IJCAI | Watermarking of DRL Policies with Sequential Triggers. | Vahid Behzadan, William H. Hsu |
| 2019 | SAFECOMP | RL-Based Method for Benchmarking the Adversarial Resilience and Robustness of Deep Reinforcement Learning Policies. | Vahid Behzadan, William H. Hsu |
| 2018 | IC3K | MATESC: Metadata-Analytic Text Extractor and Section Classifier for Scientific Publications. | Maria F. De La Torre, Carlos A. Aguirre, BreAnn M. Anshutz, William H. Hsu |
| 2018 | IJCAI | Binary Classification of Arousal in Built Environments using Machine Learning. | Heath Yates, Brent C. Chamberlain, William H. Hsu |
| 2018 | IUI | Towards Faster Annotation Interfaces for Learning to Filter in Information Extraction and Search. | Carlos A. Aguirre, Shelby Coen, Maria F. De La Torre, William H. Hsu, Margaret Rys |
| 2017 | ACII | A spatially explicit classification model for affective computing in built environments. | Heath Yates, Brent C. Chamberlain, William H. Hsu |
| 2017 | IJCAI | Arousal Detection for Biometric Data in Built Environments using Machine Learning. | Heath Yates, Brent C. Chamberlain, Greg Norman, William H. Hsu |
| 2016 | WWW | HDPauthor: A New Hybrid Author-Topic Model using Latent Dirichlet Allocation and Hierarchical Dirichlet Processes. | Ming Yang, William H. Hsu |
| 2010 | ISI | Computational knowledge and information management in veterinary epidemiology. | Svitlana Volkova, William H. Hsu |
| 2010 | WWW | CETR: content extraction via tag ratios. | Tim Weninger, William H. Hsu, Jiawei Han |
| 2009 | CBMS | Speech-assisted radiology system for retrieval, reporting and annotation. | Tim Weninger, Daniel Greene, Jack Hart, William H. Hsu, Surya Ramachandran |
| 2009 | CIBCB | Predicting protein-protein interactions using numerical associational features. | Waleed Aljandal, William H. Hsu, Jing Xia |
| 2009 | GECCO | An evolutionary approach to constructive induction for link discovery. | Tim Weninger, William H. Hsu, Jing Xia, Waleed Aljandal |
| 2009 | GECCO | An evolutionary approach to constructive induction for link discovery. | Tim Weninger, William H. Hsu, Jing Xia, Waleed Aljandal |
| 2009 | ICDM | Bi-relational Network Analysis Using a Fast Random Walk with Restart. | Jing Xia, Doina Caragea, William H. Hsu |
| 2007 | BIBE | Structural Prediction of Protein-Protein Interactions in Saccharomyces cerevisiae. | Martin S. R. Paradesi, Doina Caragea, William H. Hsu |
| 2007 | ICWSM | Structural Link Analysis from User Profiles and Friends Networks: A Feature Construction Approach. | William H. Hsu, Joseph P. Lancaster, Martin S. R. Paradesi, Tim Weninger |
| 2005 | GECCO | Evolutionary tree genetic programming. | Jn Antolk, William H. Hsu |
| 2004 | GECCO | A Comparison of Hybrid Incremental Reuse Strategies for Reinforcement Learning in Genetic Programming. | Scott J. Harmon, Edwin Rodrguez, Christopher Zhong, William H. Hsu |
| 2003 | GECCO | GA-Hardness Revisited. | Haipeng Guo, William H. Hsu |
| 2002 | AAAI | A Genetic Algorithm for Tuning Variable Orderings in Bayesian Network Structure Learning. | Haipeng Guo, Benjamin B. Perry, Julie A. Stilson, William H. Hsu |
| 2002 | GECCO | An Ant Colony Approach For The Steiner Tree Problem. | Sanjoy Das, Shekhar V. Gosavi, William H. Hsu, Shilpa A. Vaze |
| 2002 | GECCO | An Ant Colony Algorithm for Steiner Trees: New Results. | Sanjoy Das, Shekhar V. Gosavi, William H. Hsu, Shilpa A. Vaze |
| 2002 | GECCO | Genetic Programming And Multi-agent Layered Learning By Reinforcements. | William H. Hsu, Steven M. Gustafson |
| 2002 | GECCO | A Permutation Genetic Algorithm For Variable Ordering In Learning Bayesian Networks From Data. | William H. Hsu, Haipeng Guo, Benjamin B. Perry, Julie A. Stilson |
| 2002 | GECCO | Genetic Algorithm Wrappers For Feature Subset Selection In Supervised Inductive Learning. | William H. Hsu, Cecil P. Schmidt, James A. Louis |
| 2001 | EUROGP | Layered Learning in Genetic Programming for a Cooperative Robot Soccer Problem. | Steven M. Gustafson, William H. Hsu |
| 2000 | GECCO | Genetic Algorithms for Reformulation of Large-Scale KDD Problems with Many Irrelevant Attributes. | William H. Hsu, Yuhong Cheng, Haipeng Guo, Steven M. Gustafson |
| 2000 | GECCO | Genetic Wrappers for Constructive Induction in High-Performance Data Mining. | William H. Hsu, Michael Welge, Thomas Redman, David Clutter |
| 1999 | IJCNN | Self-organizing systems for knowledge discovery in large databases. | William H. Hsu, Loretta S. Anvil, William M. Pottenger, David Tcheng, Michael Welge |
| 1999 | IJCNN | Construction of recurrent mixture models for time series classification. | William H. Hsu, Sylvian R. Ray |
| 1998 | AAAI | Bayesian Network Models for Generation of Crisis Management Training Scenarios. | Eugene Grois, William H. Hsu, Mikhail Voloshin, David C. Wilkins |
| 1997 | AAAI | Probabilistic Learning in Bayesian and Stochastic Neural Networks. | William H. Hsu |
| 1993 | AAAI | Probabilistic Prediction of Protein Secondary Structure Using Causal Networks (Extended Abstract). | Arthur L. Delcher, Simon Kasif, Harry R. Goldberg, William H. Hsu |
| 1993 | ISMB | Protein Secondary-Structure Modeling with Probabilistic Networks. | Arthur L. Delcher, Simon Kasif, Harry R. Goldberg, William H. Hsu |