William H. Hsu

114 papers A* 4A 14B 9C 10Misc 4Journal 23Unranked 47

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	A Minimalist Approach to Augmentation-based Self-supervised Representation Learning for On-policy Reinforcement Learning. AAMAS Nasik Muhammad Nafi, William H. Hsu
2025	J	`jnl`	Efficient Environment Design for Multi-Robot Navigation via Continuous Control. CoRR Jahid Chowdhury Choton, John Woods, William H. Hsu
2024	B	`conf`	Analyzing the Sensitivity to Policy-Value Decoupling in Deep Reinforcement Learning Generalization. IJCNN Nasik Muhammad Nafi, Raja Farrukh Ali, William H. Hsu
2024	—	`conf`	Parallel Backfill: Improving HPC System Performance by Scheduling Jobs in Parallel. PEARC Donald Riffel, Daniel Andresen, Scott Hutchison, William H. Hsu
2024	A	`conf`	Policy Optimization using Horizon Regularized Advantage to Improve Generalization in Reinforcement Learning. AAMAS Nasik Muhammad Nafi, Raja Farrukh Ali, William H. Hsu, Kevin Duong, Mason Vick
2024	J	`jnl`	Unifying Interpretability and Explainability for Alzheimer's Disease Progression Prediction. CoRR Raja Farrukh Ali, Stephanie Milani, John Woods, Emmanuel Adenij, Ayesha Farooq, Clayton Mansel, Jeffrey Burns, William H. Hsu
2023	A	`conf`	Analyzing the Sensitivity to Policy-Value Decoupling in Deep Reinforcement Learning Generalization. AAMAS Nasik Muhammad Nafi, Raja Farrukh Ali, William H. Hsu
2023	C	`conf`	Attention-Augmented Parametric Kernel Graph Neural Network (APKGNN) for Node Classification. ICMLA Avishek Bose, William H. Hsu
2023	C	`conf`	Context-Augmented Key Phrase Extraction from Short Texts for Cyber Threat Intelligence Tasks. ISI Avishek Bose, Huichen Yang, Marissa Shivers, Ahat Orazgeldiyev, William H. Hsu
2023	—	`conf`	KDDIE at SemEval-2023 Task 2: External Knowledge Injection for Named Entity Recognition. SemEval@ACL Caleb Martin, Huichen Yang, William H. Hsu
2023	A*	`conf`	Multi-Horizon Learning in Procedurally-Generated Environments for Off-Policy Reinforcement Learning (Student Abstract). AAAI Raja Farrukh Ali, Kevin Duong, Nasik Muhammad Nafi, William H. Hsu
2023	B	`conf`	Policy Optimization with Augmented Value Targets for Generalization in Reinforcement Learning. IJCNN Nasik Muhammad Nafi, Giovanni Poggi-Corradini, William H. Hsu
2023	C	`conf`	Relevant Instance Segmentation in American Football Practice Images to Aid Risky Tackle Detection. ICMLA Nasik Muhammad Nafi, Ashley Rediger, Scott Dietrich, William H. Hsu
2022	—	`conf`	AMMUNIT: An Attention-Based Multimodal Multi-domain UNsupervised Image-to-Image Translation Framework. ICANN (2) Lei Luo, William H. Hsu
2022	C	`conf`	Attention-based Partial Decoupling of Policy and Value for Generalization in Reinforcement Learning. ICMLA Nasik Muhammad Nafi, Creighton Glasscock, William H. Hsu
2022	Misc	`conf`	Few-Shot Learning in Object Classification using Meta-Learning with Between-Class Attribute Transfer. ICMLC Majed Alsadhan, William H. Hsu
2022	—	`conf`	High Performance Computing Queue Time Prediction Using Clustering and Regression. PPAM (2) Scott Hutchison, Daniel Andresen, Mitchell L. Neilsen, William H. Hsu, Benjamin Parsons
2022	—	`conf`	KDDIE at SemEval-2022 Task 11: Using DeBERTa for Named Entity Recognition. SemEval@NAACL Caleb Martin, Huichen Yang, William H. Hsu
2022	B	`conf`	Transformer-Based Approach for Document Layout Understanding. ICIP Huichen Yang, William H. Hsu
2021	—	`ed.`	Artificial Intelligence Diversity, Belonging, Equity, and Inclusion, AIDBEI 2021, virtual, February 9, 2021. AIDBEI Deepti Lamba, William H. Hsu
2021	C	`conf`	Automatic metadata information extraction from scientific literature using deep neural networks. ICMV Huichen Yang, William H. Hsu
2021	—	`conf`	Ensemble Prediction of Job Resources to Improve System Performance for Slurm-Based HPC Systems. PEARC Mohammed Tanash, Huichen Yang, Daniel Andresen, William H. Hsu
2021	—	`conf`	HPCGCN: A Predictive Framework on High Performance Computing Cluster Log Data Using Graph Convolutional Networks. IEEE BigData Avishek Bose, Huichen Yang, William H. Hsu, Daniel Andresen
2021	—	`conf`	Named Entity Recognition from Synthesis Procedural Text in Materials Science Domain with Attention-Based Approach. SDU@AAAI Huichen Yang, William H. Hsu
2021	—	`conf`	Towards Fine-Grained Control over Latent Space for Unpaired Image-to-Image Translation. ICANN (3) Lei Luo, William H. Hsu, Shangxian Wang
2021	C	`conf`	Tracing Relevant Twitter Accounts Active in Cyber Threat Intelligence Domain by Exploiting Content and Structure of Twitter Network. ISI Avishek Bose, Shreya Gopal Sundari, Vahid Behzadan, William H. Hsu
2021	—	`conf`	eGAN: Unsupervised Approach to Class Imbalance Using Transfer Learning. CAIP (1) Ademola Okerinde, William H. Hsu, Tom Theis, Nasik Muhammad Nafi, Lior Shamir
2021	J	`jnl`	eGAN: Unsupervised approach to class imbalance using transfer learning. CoRR Ademola Okerinde, Lior Shamir, William H. Hsu, Tom Theis, Nasik Muhammad Nafi
2020	—	`conf`	Abstractive Text Summarization of Disaster-Related Documents. ISCRAM Nasik Muhammad Nafi, Avishek Bose, Sarthak Khanal, Doina Caragea, William H. Hsu
2020	—	`conf`	Addressing Class Imbalance in Image-Based Plant Disease Detection: Deep Generative vs. Sampling-Based Approaches. IWSSIP Nasik Muhammad Nafi, William H. Hsu
2020	—	`conf`	Data Augmentation Using Generative Adversarial Networks for Electrical Insulator Anomaly Detection. MSIE Lei Luo, William H. Hsu, Shangxian Wang
2020	J	`jnl`	Feature Selection for Learning to Predict Outcomes of Compute Cluster Jobs with Application to Decision Support. CoRR Adedolapo Okanlawon, Huichen Yang, Avishek Bose, William H. Hsu, Dan Andresen, Mohammed Tanash
2020	J	`jnl`	Shape-aware Generative Adversarial Networks for Attribute Transfer. CoRR Lei Luo, William H. Hsu, Shangxian Wang
2020	C	`conf`	Shape-aware generative adversarial networks for attribute transfer. ICMV Lei Luo, William H. Hsu
2020	B	`conf`	Vision-Based Layout Detection from Scientific Literature using Recurrent Convolutional Neural Networks. ICPR Huichen Yang, William H. Hsu
2020	J	`jnl`	Vision-Based Layout Detection from Scientific Literature using Recurrent Convolutional Neural Networks. CoRR Huichen Yang, William H. Hsu
2019	J	`jnl`	A Novel Approach for Detection and Ranking of Trendy and Emerging Cyber Threat Events in Twitter Streams. CoRR Avishek Bose, Vahid Behzadan, Carlos A. Aguirre, William H. Hsu
2019	B	`conf`	A novel approach for detection and ranking of trendy and emerging cyber threat events in Twitter streams. ASONAM Avishek Bose, Vahid Behzadan, Carlos A. Aguirre, William H. Hsu
2019	—	`conf`	Adversarial Exploitation of Policy Imitation. AISafety@IJCAI Vahid Behzadan, William H. Hsu
2019	J	`jnl`	Adversarial Exploitation of Policy Imitation. CoRR Vahid Behzadan, William H. Hsu
2019	J	`jnl`	Analysis and Improvement of Adversarial Training in DQN Agents With Adversarially-Guided Exploration (AGE). CoRR Vahid Behzadan, William H. Hsu
2019	—	`conf`	Improving HPC System Performance by Predicting Job Resources via Supervised Machine Learning. PEARC Mohammed Tanash, Brandon Dunn, Daniel Andresen, William H. Hsu, Huichen Yang, Adedolapo Okanlawon
2019	—	`conf`	Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science. OST@ICDAR 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	J	`jnl`	Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science. CoRR 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
2019	—	`conf`	RL-Based Method for Benchmarking the Adversarial Resilience and Robustness of Deep Reinforcement Learning Policies. SAFECOMP Workshops Vahid Behzadan, William H. Hsu
2019	J	`jnl`	RL-Based Method for Benchmarking the Adversarial Resilience and Robustness of Deep Reinforcement Learning Policies. CoRR Vahid Behzadan, William H. Hsu
2019	J	`jnl`	Sequential Triggers for Watermarking of Deep Reinforcement Learning Policies. CoRR Vahid Behzadan, William H. Hsu
2019	—	`conf`	Watermarking of DRL Policies with Sequential Triggers. AISafety@IJCAI Vahid Behzadan, William H. Hsu
2018	—	`conf`	Binary Classification of Arousal in Built Environments using Machine Learning. AffComp@IJCAI Heath Yates, Brent C. Chamberlain, William H. Hsu
2018	—	`conf`	Corpus and Deep Learning Classifier for Collection of Cyber Threat Indicators in Twitter Stream. IEEE BigData Vahid Behzadan, Carlos A. Aguirre, Avishek Bose, William H. Hsu
2018	J	`jnl`	Early-Season Stand Count Determination in Corn via Integration of Imagery from Unmanned Aerial Systems (UAS) and Supervised Learning Techniques. Remote. Sens. Sebastian Varela, Pruthvidhar Reddy Dhodda, William H. Hsu, P. V. Vara Prasad, Yared Assefa, Nahuel R. Peralta, Terry Griffin, Ajay Sharda, Allison Ferguson, Ignacio Antonio Ciampitti
2018	—	`conf`	Interactive Recommendations by Combining User-Item Preferences with Linked Open Data. UMAP (Adjunct Publication) Surya Kallumadi, William H. Hsu
2018	—	`conf`	MATESC: Metadata-Analytic Text Extractor and Section Classifier for Scientific Publications. KDIR Maria F. De La Torre, Carlos A. Aguirre, BreAnn M. Anshutz, William H. Hsu
2018	J	`jnl`	Machine Learning for Predictive Analytics of Compute Cluster Jobs. CoRR Dan Andresen, William H. Hsu, Huichen Yang, Adedolapo Okanlawon
2018	—	`conf`	Towards Faster Annotation Interfaces for Learning to Filter in Information Extraction and Search. IUI Workshops Carlos A. Aguirre, Shelby Coen, Maria F. De La Torre, William H. Hsu, Margaret Rys
2018	—	`ed.`	Workshop on Artificial Intelligence in Affective Computing, AffComp@IJCAI 2018, Stockholm, Sweden, 15 July 2018, AffComp@IJCAI William H. Hsu, Heath Yates
2017	—	`conf`	A spatially explicit classification model for affective computing in built environments. ACII Workshops Heath Yates, Brent C. Chamberlain, William H. Hsu
2017	—	`conf`	Arousal Detection for Biometric Data in Built Environments using Machine Learning. AffComp@IJCAI Heath Yates, Brent C. Chamberlain, Greg Norman, William H. Hsu
2016	—	`conf`	HDPauthor: A New Hybrid Author-Topic Model using Latent Dirichlet Allocation and Hierarchical Dirichlet Processes. WWW (Companion Volume) Ming Yang, William H. Hsu
2015	J	`jnl`	Visualization of Clandestine Labs from Seizure Reports: Thematic Mapping and Data Mining Research Directions. CoRR William H. Hsu, Mohammed Abduljabbar, Ryuichi Osuga, Max Lu, Wesam Elshamy
2013	J	`jnl`	KSU KDD: Word Sense Induction by Clustering in Topic Space CoRR Wesam Elshamy, Doina Caragea, William H. Hsu
2012	—	`conf`	Opinion Mapping: Information Visualization Approaches for Comparative Sentiment Analysis. EuroHCIR William H. Hsu, Praveen Koduru
2012	—	`conf`	Visualization of Clandestine Labs from Seizure Reports: Thematic Mapping and Data Mining Research Directions. EuroHCIR William H. Hsu, Mohammed Abduljabbar, Ryuichi Osuga, Max Lu, Wesam Elshamy
2011	J	`jnl`	Mitigation Strategies for Foot and Mouth Disease: A Learning-Based Approach. Int. J. Artif. Life Res. Sohini Roy Chowdhury, Caterina M. Scoglio, William H. Hsu
2010	—	`conf`	Boosting Biomedical Entity Extraction by Using Syntactic Patterns for Semantic Relation Discovery. Web Intelligence Svitlana Volkova, Doina Caragea, William H. Hsu, John Drouhard, Landon Fowles
2010	A*	`conf`	CETR: content extraction via tag ratios. WWW Tim Weninger, William H. Hsu, Jiawei Han
2010	C	`conf`	Computational knowledge and information management in veterinary epidemiology. ISI Svitlana Volkova, William H. Hsu
2010	—	`conf`	KSU KDD: Word Sense Induction by Clustering in Topic Space. SemEval@ACL Wesam Elshamy, Doina Caragea, William H. Hsu
2010	Misc	`conf`	Simulative modeling to control the Foot and Mouth Disease epidemic. ICCS Sohini Roy Chowdhury, Caterina M. Scoglio, William H. Hsu
2009	A	`conf`	An evolutionary approach to constructive induction for link discovery. GECCO Tim Weninger, William H. Hsu, Jing Xia, Waleed Aljandal
2009	—	`conf`	An evolutionary approach to constructive induction for link discovery. GECCO (Companion) Tim Weninger, William H. Hsu, Jing Xia, Waleed Aljandal
2009	A*	`conf`	Bi-relational Network Analysis Using a Fast Random Walk with Restart. ICDM Jing Xia, Doina Caragea, William H. Hsu
2009	Misc	`conf`	Graph Drawing Heuristics for Path Finding in Large Dimensionless Graphs. IC-AI Tim Weninger, Rodney Howell, William H. Hsu
2009	—	`conf`	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 Waleed Aljandal, Vikas Bahirwani, Doina Caragea, William H. Hsu
2009	—	`conf`	Ontology-Based Link Prediction in the LiveJournal Social Network. SARA Doina Caragea, Vikas Bahirwani, Waleed Aljandal, William H. Hsu
2009	C	`conf`	Predicting protein-protein interactions using numerical associational features. CIBCB Waleed Aljandal, William H. Hsu, Jing Xia
2009	Misc	`conf`	Protein Protein Interaction Analysis Using Fast Random Walk. IC-AI Jing Xia, William H. Hsu
2009	B	`conf`	Speech-assisted radiology system for retrieval, reporting and annotation. CBMS Tim Weninger, Daniel Greene, Jack Hart, William H. Hsu, Surya Ramachandran
2008	—	`conf`	Text Extraction from the Web via Text-to-Tag Ratio. DEXA Workshops Tim Weninger, William H. Hsu
2007	J	`jnl`	A machine learning approach to algorithm selection for Ann. Oper. Res. Haipeng Guo, William H. Hsu
2007	A	`conf`	Structural Link Analysis from User Profiles and Friends Networks: A Feature Construction Approach. ICWSM William H. Hsu, Joseph P. Lancaster, Martin S. R. Paradesi, Tim Weninger
2007	C	`conf`	Structural Prediction of Protein-Protein Interactions in Saccharomyces cerevisiae. BIBE Martin S. R. Paradesi, Doina Caragea, William H. Hsu
2006	—	`conf`	Collaborative and Structural Recommendation of Friends using Weblog-based Social Network Analysis. AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs William H. Hsu, Andrew L. King, Martin S. R. Paradesi, Tejaswi Pydimarri, Tim Weninger
2005	—	`conf`	Dynamic System Prediction using Temporal Artificial Neural Networks and Multi-Objective Genetic Algorithms. Computational Intelligence Praveen Koduru, William H. Hsu, Sanjoy Das, Stephen M. Welch, Judith L. Roe
2005	A	`conf`	Evolutionary tree genetic programming. GECCO Ján Antolík, William H. Hsu
2004	—	`conf`	A Comparison of Hybrid Incremental Reuse Strategies for Reinforcement Learning in Genetic Programming. GECCO (2) Scott J. Harmon, Edwin Rodríguez, Christopher Zhong, William H. Hsu
2004	—	`conf`	A Learning-Based Algorithm Selection Meta-reasoner for the Real-Time MPE Problem. Australian Conference on Artificial Intelligence Haipeng Guo, William H. Hsu
2004	—	`conf`	An ACO Algorithm for the Most Probable Explanation Problem. Australian Conference on Artificial Intelligence Haipeng Guo, Prashanth R. Boddhireddy, William H. Hsu
2004	—	`conf`	Empirical Comparison of Incremental Learning Strategies for Genetic Programming-Based Keep-Away Soccer Agents. AAAI Technical Report (2) William H. Hsu, Scott J. Harmon, Edwin Rodríguez, Christopher Zhong
2004	J	`jnl`	Genetic wrappers for feature selection in decision tree induction and variable ordering in Bayesian network structure learning. Inf. Sci. William H. Hsu
2004	—	`conf`	Permutation Genetic Algorithms for Score-Based Bayesian Network Structure Learning. CCCT (1) William H. Hsu, Roby Joehanes
2004	—	`conf`	Relational Graphical Models of Computational Workflows for Data Mining. ICSNW William H. Hsu
2003	A	`conf`	GA-Hardness Revisited. GECCO Haipeng Guo, William H. Hsu
2002	—	`conf`	A Genetic Algorithm for Tuning Variable Orderings in Bayesian Network Structure Learning. AAAI/IAAI Haipeng Guo, Benjamin B. Perry, Julie A. Stilson, William H. Hsu
2002	A	`conf`	A Permutation Genetic Algorithm For Variable Ordering In Learning Bayesian Networks From Data. GECCO William H. Hsu, Haipeng Guo, Benjamin B. Perry, Julie A. Stilson
2002	—	`conf`	An Ant Colony Algorithm for Steiner Trees: New Results. GECCO Late Breaking Papers Sanjoy Das, Shekhar V. Gosavi, William H. Hsu, Shilpa A. Vaze
2002	A	`conf`	An Ant Colony Approach For The Steiner Tree Problem. GECCO Sanjoy Das, Shekhar V. Gosavi, William H. Hsu, Shilpa A. Vaze
2002	A	`conf`	Genetic Algorithm Wrappers For Feature Subset Selection In Supervised Inductive Learning. GECCO William H. Hsu, Cecil P. Schmidt, James A. Louis
2002	A	`conf`	Genetic Programming And Multi-agent Layered Learning By Reinforcements. GECCO William H. Hsu, Steven M. Gustafson
2002	J	`jnl`	High-Performance Commercial Data Mining: A Multistrategy Machine Learning Application. Data Min. Knowl. Discov. William H. Hsu, Michael Welge, Thomas Redman, David Clutter
2001	B	`conf`	Layered Learning in Genetic Programming for a Cooperative Robot Soccer Problem. EuroGP Steven M. Gustafson, William H. Hsu
2000	J	`jnl`	A Multistrategy Approach to Classifier Learning from Time Series. Mach. Learn. William H. Hsu, Sylvian R. Ray, David C. Wilkins
2000	A	`conf`	Genetic Algorithms for Reformulation of Large-Scale KDD Problems with Many Irrelevant Attributes. GECCO William H. Hsu, Yuhong Cheng, Haipeng Guo, Steven M. Gustafson
2000	A	`conf`	Genetic Wrappers for Constructive Induction in High-Performance Data Mining. GECCO William H. Hsu, Michael Welge, Thomas Redman, David Clutter
1999	B	`conf`	Construction of recurrent mixture models for time series classification. IJCNN William H. Hsu, Sylvian R. Ray
1999	B	`conf`	Self-organizing systems for knowledge discovery in large databases. IJCNN William H. Hsu, Loretta S. Anvil, William M. Pottenger, David Tcheng, Michael Welge
1998	—	`conf`	Bayesian Network Models for Generation of Crisis Management Training Scenarios. AAAI/IAAI Eugene Grois, William H. Hsu, Mikhail Voloshin, David C. Wilkins
1998	J	`jnl`	Self-Organized-Expert Modular Network for Classification of Spatiotemporal Sequences. Intell. Data Anal. Sylvian R. Ray, William H. Hsu
1998	—	`—`	Time Series Learning With Probabilistic Network Composites William H. Hsu
1997	—	`conf`	A position paper on statistical inference techniques which integrate neural network and Bayesian network models. ICNN William H. Hsu
1997	—	`conf`	Probabilistic Learning in Bayesian and Stochastic Neural Networks. AAAI/IAAI William H. Hsu
1995	J	`jnl`	Automatic Synthesis of Compression Techniques for Heterogeneous Softw. Pract. Exp. William H. Hsu, Amy E. Zwarico
1993	A*	`conf`	Probabilistic Prediction of Protein Secondary Structure Using Causal Networks (Extended Abstract). AAAI Arthur L. Delcher, Simon Kasif, Harry R. Goldberg, William H. Hsu
1993	A	`conf`	Protein Secondary-Structure Modeling with Probabilistic Networks. ISMB Arthur L. Delcher, Simon Kasif, Harry R. Goldberg, William H. Hsu