William H. Hsu

Orcid: 0000-0002-2950-6246

Affiliations:
  • Kansas State University, Manhattan, KS, USA
  • University of Illinois, Urbana-Champaign, Champaign, IL, USA (PhD 1998)


According to our database1, William H. Hsu authored at least 101 papers between 1993 and 2024.

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Bibliography

2024
Unifying Interpretability and Explainability for Alzheimer's Disease Progression Prediction.
CoRR, 2024

Parallel Backfill: Improving HPC System Performance by Scheduling Jobs in Parallel.
Proceedings of the Practice and Experience in Advanced Research Computing 2024: Human Powered Computing, 2024

Policy Optimization using Horizon Regularized Advantage to Improve Generalization in Reinforcement Learning.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
KDDIE at SemEval-2023 Task 2: External Knowledge Injection for Named Entity Recognition.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Context-Augmented Key Phrase Extraction from Short Texts for Cyber Threat Intelligence Tasks.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2023

Policy Optimization with Augmented Value Targets for Generalization in Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2023

Relevant Instance Segmentation in American Football Practice Images to Aid Risky Tackle Detection.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Attention-Augmented Parametric Kernel Graph Neural Network (APKGNN) for Node Classification.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Analyzing the Sensitivity to Policy-Value Decoupling in Deep Reinforcement Learning Generalization.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Multi-Horizon Learning in Procedurally-Generated Environments for Off-Policy Reinforcement Learning (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
KDDIE at SemEval-2022 Task 11: Using DeBERTa for Named Entity Recognition.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

High Performance Computing Queue Time Prediction Using Clustering and Regression.
Proceedings of the Parallel Processing and Applied Mathematics, 2022

Few-Shot Learning in Object Classification using Meta-Learning with Between-Class Attribute Transfer.
Proceedings of the ICMLC 2022: 14th International Conference on Machine Learning and Computing, Guangzhou, China, February 18, 2022

Attention-based Partial Decoupling of Policy and Value for Generalization in Reinforcement Learning.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Transformer-Based Approach for Document Layout Understanding.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

AMMUNIT: An Attention-Based Multimodal Multi-domain UNsupervised Image-to-Image Translation Framework.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021
Ensemble Prediction of Job Resources to Improve System Performance for Slurm-Based HPC Systems.
Proceedings of the PEARC '21: Practice and Experience in Advanced Research Computing, 2021

Tracing Relevant Twitter Accounts Active in Cyber Threat Intelligence Domain by Exploiting Content and Structure of Twitter Network.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2021

Automatic metadata information extraction from scientific literature using deep neural networks.
Proceedings of the Fourteenth International Conference on Machine Vision, 2021

Towards Fine-Grained Control over Latent Space for Unpaired Image-to-Image Translation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

eGAN: Unsupervised Approach to Class Imbalance Using Transfer Learning.
Proceedings of the Computer Analysis of Images and Patterns, 2021

HPCGCN: A Predictive Framework on High Performance Computing Cluster Log Data Using Graph Convolutional Networks.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Named Entity Recognition from Synthesis Procedural Text in Materials Science Domain with Attention-Based Approach.
Proceedings of the Workshop on Scientific Document Understanding co-located with 35th AAAI Conference on Artificial Inteligence, 2021

2020
Feature Selection for Learning to Predict Outcomes of Compute Cluster Jobs with Application to Decision Support.
CoRR, 2020

Shape-aware Generative Adversarial Networks for Attribute Transfer.
CoRR, 2020

Data Augmentation Using Generative Adversarial Networks for Electrical Insulator Anomaly Detection.
Proceedings of the MSIE 2020: 2nd International Conference on Management Science and Industrial Engineering, 2020

Addressing Class Imbalance in Image-Based Plant Disease Detection: Deep Generative vs. Sampling-Based Approaches.
Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020

Abstractive Text Summarization of Disaster-Related Documents.
Proceedings of the 17th International Conference on Information Systems for Crisis Response and Management, 2020

Vision-Based Layout Detection from Scientific Literature using Recurrent Convolutional Neural Networks.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Shape-aware generative adversarial networks for attribute transfer.
Proceedings of the Thirteenth International Conference on Machine Vision, 2020

2019
Hybridized Threshold Clustering for Massive Data.
CoRR, 2019

Sequential Triggers for Watermarking of Deep Reinforcement Learning Policies.
CoRR, 2019

Analysis and Improvement of Adversarial Training in DQN Agents With Adversarially-Guided Exploration (AGE).
CoRR, 2019

Improving HPC System Performance by Predicting Job Resources via Supervised Machine Learning.
Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019

RL-Based Method for Benchmarking the Adversarial Resilience and Robustness of Deep Reinforcement Learning Policies.
Proceedings of the Computer Safety, Reliability, and Security, 2019

Watermarking of DRL Policies with Sequential Triggers.
Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the 28th International Joint Conference on Artificial Intelligence, 2019

Adversarial Exploitation of Policy Imitation.
Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the 28th International Joint Conference on Artificial Intelligence, 2019

Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science.
Proceedings of the 2nd International Workshop on Open Services and Tools for Document Analysis, 2019

A novel approach for detection and ranking of trendy and emerging cyber threat events in Twitter streams.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018
Early-Season Stand Count Determination in Corn via Integration of Imagery from Unmanned Aerial Systems (UAS) and Supervised Learning Techniques.
Remote. Sens., 2018

Machine Learning for Predictive Analytics of Compute Cluster Jobs.
CoRR, 2018

Interactive Recommendations by Combining User-Item Preferences with Linked Open Data.
Proceedings of the Adjunct Publication of the 26th Conference on User Modeling, 2018

Towards Faster Annotation Interfaces for Learning to Filter in Information Extraction and Search.
Proceedings of the Joint Proceedings of the ACM IUI 2018 Workshops co-located with the 23rd ACM Conference on Intelligent User Interfaces (ACM IUI 2018), 2018

Binary Classification of Arousal in Built Environments using Machine Learning.
Proceedings of the Workshop on Artificial Intelligence in Affective Computing, 2018

MATESC: Metadata-Analytic Text Extractor and Section Classifier for Scientific Publications.
Proceedings of the 10th International Joint Conference on Knowledge Discovery, 2018

Corpus and Deep Learning Classifier for Collection of Cyber Threat Indicators in Twitter Stream.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Arousal Detection for Biometric Data in Built Environments using Machine Learning.
Proceedings of the 1st IJCAI Workshop on Artificial Intelligence in Affective Computing (AffComp 2017), 2017

A spatially explicit classification model for affective computing in built environments.
Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2017

2016
HDPauthor: A New Hybrid Author-Topic Model using Latent Dirichlet Allocation and Hierarchical Dirichlet Processes.
Proceedings of the 25th International Conference on World Wide Web, 2016

2012
Opinion Mapping: Information Visualization Approaches for Comparative Sentiment Analysis.
Proceedings of the 2nd European Workshop on Human-Computer Interaction and Information Retrieval, 2012

Visualization of Clandestine Labs from Seizure Reports: Thematic Mapping and Data Mining Research Directions.
Proceedings of the 2nd European Workshop on Human-Computer Interaction and Information Retrieval, 2012

2011
Mitigation Strategies for Foot and Mouth Disease: A Learning-Based Approach.
Int. J. Artif. Life Res., 2011

2010
Simulative modeling to control the Foot and Mouth Disease epidemic.
Proceedings of the International Conference on Computational Science, 2010

CETR: content extraction via tag ratios.
Proceedings of the 19th International Conference on World Wide Web, 2010

Boosting Biomedical Entity Extraction by Using Syntactic Patterns for Semantic Relation Discovery.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010

KSU KDD: Word Sense Induction by Clustering in Topic Space.
Proceedings of the 5th International Workshop on Semantic Evaluation, 2010

Computational knowledge and information management in veterinary epidemiology.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2010

2009
Ontology-Based Link Prediction in the LiveJournal Social Network.
Proceedings of the Eighth Symposium on Abstraction, Reformulation, and Approximation, 2009

Bi-relational Network Analysis Using a Fast Random Walk with Restart.
Proceedings of the ICDM 2009, 2009

Protein Protein Interaction Analysis Using Fast Random Walk.
Proceedings of the 2009 International Conference on Artificial Intelligence, 2009

Graph Drawing Heuristics for Path Finding in Large Dimensionless Graphs.
Proceedings of the 2009 International Conference on Artificial Intelligence, 2009

An evolutionary approach to constructive induction for link discovery.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Predicting protein-protein interactions using numerical associational features.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2009

Speech-assisted radiology system for retrieval, reporting and annotation.
Proceedings of the Twenty-Second IEEE International Symposium on Computer-Based Medical Systems, 2009

Ontology-Aware Classification and Association Rule Mining for Interest and Link Prediction in Social Networks.
Proceedings of the Social Semantic Web: Where Web 2.0 Meets Web 3.0, 2009

2008
Text Extraction from the Web via Text-to-Tag Ratio.
Proceedings of the 19th International Workshop on Database and Expert Systems Applications (DEXA 2008), 2008

2007
A machine learning approach to algorithm selection for <i>NP</i>\mathcal{NP} -hard optimization problems: a case study on the MPE problem.
Ann. Oper. Res., 2007

Structural Link Analysis from User Profiles and Friends Networks: A Feature Construction Approach.
Proceedings of the First International Conference on Weblogs and Social Media, 2007

Structural Prediction of Protein-Protein Interactions in Saccharomyces cerevisiae.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006
Collaborative and Structural Recommendation of Friends using Weblog-based Social Network Analysis.
Proceedings of the Computational Approaches to Analyzing Weblogs, 2006

2005
Dynamic System Prediction using Temporal Artificial Neural Networks and Multi-Objective Genetic Algorithms.
Proceedings of the IASTED International Conference on Computational Intelligence, 2005

Evolutionary tree genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

2004
Genetic wrappers for feature selection in decision tree induction and variable ordering in Bayesian network structure learning.
Inf. Sci., 2004

Relational Graphical Models of Computational Workflows for Data Mining.
Proceedings of the Semantics for Grid Databases, 2004

A Comparison of Hybrid Incremental Reuse Strategies for Reinforcement Learning in Genetic Programming.
Proceedings of the Genetic and Evolutionary Computation, 2004

Permutation Genetic Algorithms for Score-Based Bayesian Network Structure Learning.
Proceedings of the 2nd International Conference Computing, 2004

A Learning-Based Algorithm Selection Meta-reasoner for the Real-Time MPE Problem.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

An ACO Algorithm for the Most Probable Explanation Problem.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

Empirical Comparison of Incremental Learning Strategies for Genetic Programming-Based Keep-Away Soccer Agents.
Proceedings of the Artificial Multiagent Learning, 2004

2003
GA-Hardness Revisited.
Proceedings of the Genetic and Evolutionary Computation, 2003

2002
High-Performance Commercial Data Mining: A Multistrategy Machine Learning Application.
Data Min. Knowl. Discov., 2002

Genetic Algorithm Wrappers For Feature Subset Selection In Supervised Inductive Learning.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

A Permutation Genetic Algorithm For Variable Ordering In Learning Bayesian Networks From Data.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Genetic Programming And Multi-agent Layered Learning By Reinforcements.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

An Ant Colony Algorithm for Steiner Trees: New Results.
Proceedings of the Late Breaking papers at the Genetic and Evolutionary Computation Conference (GECCO-2002), 2002

An Ant Colony Approach For The Steiner Tree Problem.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

A Genetic Algorithm for Tuning Variable Orderings in Bayesian Network Structure Learning.
Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

2001
Layered Learning in Genetic Programming for a Cooperative Robot Soccer Problem.
Proceedings of the Genetic Programming, 4th European Conference, 2001

2000
A Multistrategy Approach to Classifier Learning from Time Series.
Mach. Learn., 2000

Genetic Wrappers for Constructive Induction in High-Performance Data Mining.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

Genetic Algorithms for Reformulation of Large-Scale KDD Problems with Many Irrelevant Attributes.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

1999
Construction of recurrent mixture models for time series classification.
Proceedings of the International Joint Conference Neural Networks, 1999

Self-organizing systems for knowledge discovery in large databases.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
Time Series Learning With Probabilistic Network Composites
PhD thesis, 1998

Self-Organized-Expert Modular Network for Classification of Spatiotemporal Sequences.
Intell. Data Anal., 1998

Bayesian Network Models for Generation of Crisis Management Training Scenarios.
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

1997
A position paper on statistical inference techniques which integrate neural network and Bayesian network models.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Probabilistic Learning in Bayesian and Stochastic Neural Networks.
Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

1995
Automatic Synthesis of Compression Techniques for Heterogeneous
Softw. Pract. Exp., 1995

1993
Protein Secondary-Structure Modeling with Probabilistic Networks.
Proceedings of the 1st International Conference on Intelligent Systems for Molecular Biology, 1993

Probabilistic Prediction of Protein Secondary Structure Using Causal Networks (Extended Abstract).
Proceedings of the 11th National Conference on Artificial Intelligence. Washington, 1993


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