William H. Hsu

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 52

Top Venues

Publications

Donald Riffel, Daniel Andresen, Scott Hutchison, William H. Hsu
Parallel Backfill: Improving HPC System Performance by Scheduling Jobs in Parallel. PEARC (2024)
Raja Farrukh Ali, Stephanie Milani, John Woods, Emmanuel Adenij, Ayesha Farooq, Clayton Mansel, Jeffrey Burns, William H. Hsu
Unifying Interpretability and Explainability for Alzheimer's Disease Progression Prediction. CoRR (2024)
Nasik Muhammad Nafi, Raja Farrukh Ali, William H. Hsu, Kevin Duong, Mason Vick
Policy Optimization using Horizon Regularized Advantage to Improve Generalization in Reinforcement Learning. AAMAS (2024)
Avishek Bose, William H. Hsu
Attention-Augmented Parametric Kernel Graph Neural Network (APKGNN) for Node Classification. ICMLA (2023)
Raja Farrukh Ali, Kevin Duong, Nasik Muhammad Nafi, William H. Hsu
Multi-Horizon Learning in Procedurally-Generated Environments for Off-Policy Reinforcement Learning (Student Abstract). AAAI (2023)
Caleb Martin, Huichen Yang, William H. Hsu
KDDIE at SemEval-2023 Task 2: External Knowledge Injection for Named Entity Recognition. SemEval@ACL (2023)
Avishek Bose, Huichen Yang, Marissa Shivers, Ahat Orazgeldiyev, William H. Hsu
Context-Augmented Key Phrase Extraction from Short Texts for Cyber Threat Intelligence Tasks. ISI (2023)
Nasik Muhammad Nafi, Raja Farrukh Ali, William H. Hsu
Analyzing the Sensitivity to Policy-Value Decoupling in Deep Reinforcement Learning Generalization. AAMAS (2023)
Nasik Muhammad Nafi, Giovanni Poggi-Corradini, William H. Hsu
Policy Optimization with Augmented Value Targets for Generalization in Reinforcement Learning. IJCNN (2023)
Nasik Muhammad Nafi, Ashley Rediger, Scott Dietrich, William H. Hsu
Relevant Instance Segmentation in American Football Practice Images to Aid Risky Tackle Detection. ICMLA (2023)
Majed Alsadhan, William H. Hsu
Few-Shot Learning in Object Classification using Meta-Learning with Between-Class Attribute Transfer. ICMLC (2022)
Scott Hutchison, Daniel Andresen, Mitchell L. Neilsen, William H. Hsu, Benjamin Parsons
High Performance Computing Queue Time Prediction Using Clustering and Regression. PPAM (2) (2022)
Lei Luo, William H. Hsu
AMMUNIT: An Attention-Based Multimodal Multi-domain UNsupervised Image-to-Image Translation Framework. ICANN (2) (2022)
Nasik Muhammad Nafi, Creighton Glasscock, William H. Hsu
Attention-based Partial Decoupling of Policy and Value for Generalization in Reinforcement Learning. ICMLA (2022)
Caleb Martin, Huichen Yang, William H. Hsu
KDDIE at SemEval-2022 Task 11: Using DeBERTa for Named Entity Recognition. SemEval@NAACL (2022)
Huichen Yang, William H. Hsu
Transformer-Based Approach for Document Layout Understanding. ICIP (2022)
Lei Luo, William H. Hsu, Shangxian Wang
Towards Fine-Grained Control over Latent Space for Unpaired Image-to-Image Translation. ICANN (3) (2021)
Huichen Yang, William H. Hsu
Named Entity Recognition from Synthesis Procedural Text in Materials Science Domain with Attention-Based Approach. SDU@AAAI (2021)
Avishek Bose, Shreya Gopal Sundari, Vahid Behzadan, William H. Hsu
Tracing Relevant Twitter Accounts Active in Cyber Threat Intelligence Domain by Exploiting Content and Structure of Twitter Network. ISI (2021)
Huichen Yang, William H. Hsu
Automatic metadata information extraction from scientific literature using deep neural networks. ICMV (2021)
Avishek Bose, Huichen Yang, William H. Hsu, Daniel Andresen
HPCGCN: A Predictive Framework on High Performance Computing Cluster Log Data Using Graph Convolutional Networks. IEEE BigData (2021)
Mohammed Tanash, Huichen Yang, Daniel Andresen, William H. Hsu
Ensemble Prediction of Job Resources to Improve System Performance for Slurm-Based HPC Systems. PEARC (2021)
Huichen Yang, William H. Hsu
Vision-Based Layout Detection from Scientific Literature using Recurrent Convolutional Neural Networks. ICPR (2020)
Adedolapo Okanlawon, Huichen Yang, Avishek Bose, William H. Hsu, Dan Andresen, Mohammed Tanash
Feature Selection for Learning to Predict Outcomes of Compute Cluster Jobs with Application to Decision Support. CoRR (2020)
Lei Luo, William H. Hsu, Shangxian Wang
Shape-aware Generative Adversarial Networks for Attribute Transfer. CoRR (2020)
Lei Luo, William H. Hsu
Shape-aware generative adversarial networks for attribute transfer. ICMV (2020)
Huichen Yang, William H. Hsu
Vision-Based Layout Detection from Scientific Literature using Recurrent Convolutional Neural Networks. CoRR (2020)
Nasik Muhammad Nafi, William H. Hsu
Addressing Class Imbalance in Image-Based Plant Disease Detection: Deep Generative vs. Sampling-Based Approaches. IWSSIP (2020)
Nasik Muhammad Nafi, Avishek Bose, Sarthak Khanal, Doina Caragea, William H. Hsu
Abstractive Text Summarization of Disaster-Related Documents. ISCRAM (2020)
Lei Luo, William H. Hsu, Shangxian Wang
Data Augmentation Using Generative Adversarial Networks for Electrical Insulator Anomaly Detection. MSIE (2020)
Avishek Bose, Vahid Behzadan, Carlos A. Aguirre, William H. Hsu
A Novel Approach for Detection and Ranking of Trendy and Emerging Cyber Threat Events in Twitter Streams. CoRR (2019)
Huichen Yang, Carlos A. Aguirre, Maria F. De La Torre, Derek Christensen, Luis Bobadilla, Emily Davich, Jordan Roth, Lei Luo, Yihong Theis, Alice Lam, Thomas Yong-Jin Han, David Buttler, William H. Hsu
Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science. CoRR (2019)
Vahid Behzadan, William H. Hsu
RL-Based Method for Benchmarking the Adversarial Resilience and Robustness of Deep Reinforcement Learning Policies. SAFECOMP Workshops (2019)
Vahid Behzadan, William H. Hsu
Adversarial Exploitation of Policy Imitation. CoRR (2019)
Vahid Behzadan, William H. Hsu
RL-Based Method for Benchmarking the Adversarial Resilience and Robustness of Deep Reinforcement Learning Policies. CoRR (2019)
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
Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science. OST@ICDAR (2019)
Vahid Behzadan, William H. Hsu
Sequential Triggers for Watermarking of Deep Reinforcement Learning Policies. CoRR (2019)
Avishek Bose, Vahid Behzadan, Carlos A. Aguirre, William H. Hsu
A novel approach for detection and ranking of trendy and emerging cyber threat events in Twitter streams. ASONAM (2019)
Mohammed Tanash, Brandon Dunn, Daniel Andresen, William H. Hsu, Huichen Yang, Adedolapo Okanlawon
Improving HPC System Performance by Predicting Job Resources via Supervised Machine Learning. PEARC (2019)
Vahid Behzadan, William H. Hsu
Adversarial Exploitation of Policy Imitation. AISafety@IJCAI (2019)
Vahid Behzadan, William H. Hsu
Analysis and Improvement of Adversarial Training in DQN Agents With Adversarially-Guided Exploration (AGE). CoRR (2019)
Vahid Behzadan, William H. Hsu
Watermarking of DRL Policies with Sequential Triggers. AISafety@IJCAI (2019)
Sebastian Varela, Pruthvidhar Reddy Dhodda, William H. Hsu, P. V. Vara Prasad, Yared Assefa, Nahuel R. Peralta, Terry Griffin, Ajay Sharda, Allison Ferguson, Ignacio A. Ciampitti
Early-Season Stand Count Determination in Corn via Integration of Imagery from Unmanned Aerial Systems (UAS) and Supervised Learning Techniques. Remote. Sens. 10 (2) (2018)
Dan Andresen, William H. Hsu, Huichen Yang, Adedolapo Okanlawon
Machine Learning for Predictive Analytics of Compute Cluster Jobs. CoRR (2018)
Surya Kallumadi, William H. Hsu
Interactive Recommendations by Combining User-Item Preferences with Linked Open Data. UMAP (Adjunct Publication) (2018)
Heath Yates, Brent C. Chamberlain, William H. Hsu
Binary Classification of Arousal in Built Environments using Machine Learning. AffComp@IJCAI (2018)
Vahid Behzadan, Carlos A. Aguirre, Avishek Bose, William H. Hsu
Corpus and Deep Learning Classifier for Collection of Cyber Threat Indicators in Twitter Stream. IEEE BigData (2018)
Carlos A. Aguirre, Shelby Coen, Maria F. De La Torre, William H. Hsu, Margaret Rys
Towards Faster Annotation Interfaces for Learning to Filter in Information Extraction and Search. IUI Workshops (2018)
Maria F. De La Torre, Carlos A. Aguirre, BreAnn M. Anshutz, William H. Hsu
MATESC: Metadata-Analytic Text Extractor and Section Classifier for Scientific Publications. KDIR (2018)
Heath Yates, Brent C. Chamberlain, Greg Norman, William H. Hsu
Arousal Detection for Biometric Data in Built Environments using Machine Learning. AffComp@IJCAI (2017)
Heath Yates, Brent C. Chamberlain, William H. Hsu
A spatially explicit classification model for affective computing in built environments. ACII Workshops (2017)
Ming Yang, William H. Hsu
HDPauthor: A New Hybrid Author-Topic Model using Latent Dirichlet Allocation and Hierarchical Dirichlet Processes. WWW (Companion Volume) (2016)
William H. Hsu, Mohammed Abduljabbar, Ryuichi Osuga, Max Lu, Wesam Elshamy
Visualization of Clandestine Labs from Seizure Reports: Thematic Mapping and Data Mining Research Directions. CoRR (2015)
Wesam Elshamy, Doina Caragea, William H. Hsu
KSU KDD: Word Sense Induction by Clustering in Topic Space CoRR (2013)
William H. Hsu, Mohammed Abduljabbar, Ryuichi Osuga, Max Lu, Wesam Elshamy
Visualization of Clandestine Labs from Seizure Reports: Thematic Mapping and Data Mining Research Directions. EuroHCIR (2012)
William H. Hsu, Praveen Koduru
Opinion Mapping: Information Visualization Approaches for Comparative Sentiment Analysis. EuroHCIR (2012)
Sohini Roy Chowdhury, Caterina M. Scoglio, William H. Hsu
Mitigation Strategies for Foot and Mouth Disease: A Learning-Based Approach. Int. J. Artif. Life Res. 2 (2) (2011)
Svitlana Volkova, William H. Hsu
Computational knowledge and information management in veterinary epidemiology. ISI (2010)
Svitlana Volkova, Doina Caragea, William H. Hsu, John Drouhard, Landon Fowles
Boosting Biomedical Entity Extraction by Using Syntactic Patterns for Semantic Relation Discovery. Web Intelligence (2010)
Wesam Elshamy, Doina Caragea, William H. Hsu
KSU KDD: Word Sense Induction by Clustering in Topic Space. SemEval@ACL (2010)
Tim Weninger, William H. Hsu, Jiawei Han
CETR: content extraction via tag ratios. WWW (2010)
Sohini Roy Chowdhury, Caterina M. Scoglio, William H. Hsu
Simulative modeling to control the Foot and Mouth Disease epidemic. ICCS (1) (2010)
Jing Xia, William H. Hsu
Protein Protein Interaction Analysis Using Fast Random Walk. IC-AI (2009)
Doina Caragea, Vikas Bahirwani, Waleed Aljandal, William H. Hsu
Ontology-Based Link Prediction in the LiveJournal Social Network. SARA (2009)
Tim Weninger, William H. Hsu, Jing Xia, Waleed Aljandal
An evolutionary approach to constructive induction for link discovery. GECCO (Companion) (2009)
Jing Xia, Doina Caragea, William H. Hsu
Bi-relational Network Analysis Using a Fast Random Walk with Restart. ICDM (2009)
Waleed Aljandal, William H. Hsu, Jing Xia
Predicting protein-protein interactions using numerical associational features. CIBCB (2009)
Waleed Aljandal, Vikas Bahirwani, Doina Caragea, William H. Hsu
Ontology-Aware Classification and Association Rule Mining for Interest and Link Prediction in Social Networks. AAAI Spring Symposium: Social Semantic Web: Where Web 2.0 Meets Web 3.0 (2009)
Tim Weninger, William H. Hsu, Jing Xia, Waleed Aljandal
An evolutionary approach to constructive induction for link discovery. GECCO (2009)
Tim Weninger, Rodney Howell, William H. Hsu
Graph Drawing Heuristics for Path Finding in Large Dimensionless Graphs. IC-AI (2009)
Tim Weninger, Daniel Greene, Jack Hart, William H. Hsu, Surya Ramachandran
Speech-assisted radiology system for retrieval, reporting and annotation. CBMS (2009)
Tim Weninger, William H. Hsu
Text Extraction from the Web via Text-to-Tag Ratio. DEXA Workshops (2008)
Martin S. R. Paradesi, Doina Caragea, William H. Hsu
Structural Prediction of Protein-Protein Interactions in Saccharomyces cerevisiae. BIBE (2007)
William H. Hsu, Joseph P. Lancaster, Martin S. R. Paradesi, Tim Weninger
Structural Link Analysis from User Profiles and Friends Networks: A Feature Construction Approach. ICWSM (2007)
Haipeng Guo, William H. Hsu
\mathcal{NP} -hard optimization problems: a case study on the MPE problem. Ann. Oper. Res. 156 (1) (2007)
William H. Hsu, Andrew L. King, Martin S. R. Paradesi, Tejaswi Pydimarri, Tim Weninger
Collaborative and Structural Recommendation of Friends using Weblog-based Social Network Analysis. AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs (2006)
Praveen Koduru, William H. Hsu, Sanjoy Das, Stephen M. Welch, Judith L. Roe
Dynamic System Prediction using Temporal Artificial Neural Networks and Multi-Objective Genetic Algorithms. Computational Intelligence (2005)
Ján Antolík, William H. Hsu
Evolutionary tree genetic programming. GECCO (2005)
Haipeng Guo, Prashanth R. Boddhireddy, William H. Hsu
An ACO Algorithm for the Most Probable Explanation Problem. Australian Conference on Artificial Intelligence (2004)
Scott J. Harmon, Edwin Rodríguez, Christopher Zhong, William H. Hsu
A Comparison of Hybrid Incremental Reuse Strategies for Reinforcement Learning in Genetic Programming. GECCO (2) (2004)
William H. Hsu, Scott J. Harmon, Edwin Rodríguez, Christopher Zhong
Empirical Comparison of Incremental Learning Strategies for Genetic Programming-Based Keep-Away Soccer Agents. AAAI Technical Report (2) (2004)
William H. Hsu
Genetic wrappers for feature selection in decision tree induction and variable ordering in Bayesian network structure learning. Inf. Sci. 163 (1-3) (2004)
William H. Hsu
Relational Graphical Models of Computational Workflows for Data Mining. ICSNW (2004)
William H. Hsu, Roby Joehanes
Permutation Genetic Algorithms for Score-Based Bayesian Network Structure Learning. CCCT (1) (2004)
Haipeng Guo, William H. Hsu
A Learning-Based Algorithm Selection Meta-reasoner for the Real-Time MPE Problem. Australian Conference on Artificial Intelligence (2004)
Haipeng Guo, William H. Hsu
GA-Hardness Revisited. GECCO (2003)
Sanjoy Das, Shekhar V. Gosavi, William H. Hsu, Shilpa A. Vaze
An Ant Colony Algorithm for Steiner Trees: New Results. GECCO Late Breaking Papers (2002)
William H. Hsu, Cecil P. Schmidt, James A. Louis
Genetic Algorithm Wrappers For Feature Subset Selection In Supervised Inductive Learning. GECCO (2002)
William H. Hsu, Steven M. Gustafson
Genetic Programming And Multi-agent Layered Learning By Reinforcements. GECCO (2002)
Haipeng Guo, Benjamin B. Perry, Julie A. Stilson, William H. Hsu
A Genetic Algorithm for Tuning Variable Orderings in Bayesian Network Structure Learning. AAAI/IAAI (2002)
Sanjoy Das, Shekhar V. Gosavi, William H. Hsu, Shilpa A. Vaze
An Ant Colony Approach For The Steiner Tree Problem. GECCO (2002)
William H. Hsu, Michael Welge, Thomas Redman, David Clutter
High-Performance Commercial Data Mining: A Multistrategy Machine Learning Application. Data Min. Knowl. Discov. 6 (4) (2002)
William H. Hsu, Haipeng Guo, Benjamin B. Perry, Julie A. Stilson
A Permutation Genetic Algorithm For Variable Ordering In Learning Bayesian Networks From Data. GECCO (2002)
Steven M. Gustafson, William H. Hsu
Layered Learning in Genetic Programming for a Cooperative Robot Soccer Problem. EuroGP (2001)
William H. Hsu, Yuhong Cheng, Haipeng Guo, Steven M. Gustafson
Genetic Algorithms for Reformulation of Large-Scale KDD Problems with Many Irrelevant Attributes. GECCO (2000)
William H. Hsu, Michael Welge, Thomas Redman, David Clutter
Genetic Wrappers for Constructive Induction in High-Performance Data Mining. GECCO (2000)
William H. Hsu, Sylvian R. Ray, David C. Wilkins
A Multistrategy Approach to Classifier Learning from Time Series. Mach. Learn. 38 (1-2) (2000)
William H. Hsu, Loretta S. Anvil, William M. Pottenger, David Tcheng, Michael Welge
Self-organizing systems for knowledge discovery in large databases. IJCNN (1999)
William H. Hsu, Sylvian R. Ray
Construction of recurrent mixture models for time series classification. IJCNN (1999)
Eugene Grois, William H. Hsu, Mikhail Voloshin, David C. Wilkins
Bayesian Network Models for Generation of Crisis Management Training Scenarios. AAAI/IAAI (1998)

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Publication Activity (10 Years)

Top Topics

Top Venues

William H. Hsu