William H. Hsu
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 99 papers
between 1993 and 2024.
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Bibliography
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
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022
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
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
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
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
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
Proceedings of the Thirteenth International Conference on Machine Vision, 2020
2019
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
Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the 28th International Joint Conference on Artificial Intelligence, 2019
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
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
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
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
Int. J. Artif. Life Res., 2011
2010
Proceedings of the International Conference on Computational Science, 2010
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
Proceedings of the 5th International Workshop on Semantic Evaluation, 2010
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2010
2009
Proceedings of the Eighth Symposium on Abstraction, Reformulation, and Approximation, 2009
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
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2009
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
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
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
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
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
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004
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
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
Proceedings of the Genetic Programming, 4th European Conference, 2001
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
Proceedings of the International Joint Conference Neural Networks, 1999
Proceedings of the International Joint Conference Neural Networks, 1999
1998
Self-Organized-Expert Modular Network for Classification of Spatiotemporal Sequences.
Intell. Data Anal., 1998
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
Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997
1995
Softw. Pract. Exp., 1995
1993
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