Publications

2024

Zhibo Meng, Hongwei Zhang, James Gross, Scheduling with Probabilistic Per-Packet Real-Time Guarantee for URLLC" accepted to IEEE ICPS'24, May 2024 [PDF]
Yamei Tu, Rui Qiu, Han-Wei Shen, "KG-PRE-view: Democratizing a TVCG Knowledge Graph through Visual Explorations", April 2024 [PDF]
Dhabaleswar K. (DK) Panda, Vipin Chaudhary, Eric Fosler-Lussier, Raghu Machiraju, Amit Majumdar, Beth Plale, Rajiv Ramnath, Ponnuswamy Sadayappan, Neelima Savardekar, and, Karen Tomko, Creating intelligent cyberinfrastructure for democratizing AI, IEEE AI Magazine, March 2024 [PDF]

2023

V Pahuja, W Luo, Y Gu, CH Tu, HY Chen, T Berger-Wolf, C Stewart, "Bringing Back the Context: Camera Trap Species Identification as Link Prediction on Multimodal Knowledge Graphs", December 2023 [PDF]
Kevyn Angueira Irizarry and Christopher Stewart, "Poster: Profiling Edge Resource Demands of Zoom Maneuvers for Autonomous Unmanned Aerial Vehicles", December 2023 [PDF]
Cheng-Hao Tu, Hong-You Chen, Jike Zhong, Zheda Mai, Vardaan Pahuja, Tanya Berger-Wolf, Song Gao, Charles Stewart, Yu Su, Wei-Lun Chao, ”Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data”, In the Conference on Neural Information Processing Systems (NeurIPS'23), December 2023 [PDF]
Nawras Alnaasan, Matthew Lieber, Aamir Shafi, Hari Subramoni, Scott Shearer, and Dhabaleswar K Panda. HARVEST: High-Performance Artificial Vision Framework for Expert Labeling using Semi-Supervised Training, 2023 IEEE International Conference on Big Data December 2023 [PDF]
Chang-You Tai, Ziru Chen, Tianshu Zhang, Xiang Deng, Huan Sun. Exploring Chain-of-Thought Style Prompting for Text-to-SQL. In the Conference on Empirical Methods in Natural Language Processing, December 2023 (EMNLP'23) [PDF]
Shijie Chen, Ziru Chen, Huan Sun, Yu Su. Error Detection for Text-to-SQL Semantic Parsing. In the Findings of the Conference on Empirical Methods in Natural Language Processing, December 2023 (EMNLP'23: Findings) [PDF]
Kai Zhang*, Lingbo Mo*, Wenhu Chen, Huan Sun, Yu Su, “MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing”, In the Conference on Neural Information Processing Systems (NeurIPS'23), December 2023 [PDF]
Xiang Deng, Yu Gu, Boyuan Zheng, Shijie Chen, Samuel Stevens, Boshi Wang, Huan Sun, Yu Su., “Mind2Web: Towards a Generalist Agent for the Web”., In the Conference on Neural Information Processing Systems (NeurIPS'23), December 2023. [PDF]
Yuxiao Qu, Jinmeng Rao, Song Gao, Qianheng Zhang, Wei-Lun Chao, Yu Su, Michelle Miller, Alfonso Morales, Patrick Huber. "FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural Network in Analyzing Geospatial Resilience of Multicommodity Food Flows", ACM SIGSPATIAL, November 2023. [PDF]
Jinmeng Rao, Song Gao, Gengchen Mai, Krzysztof Janowicz. "Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models (Vision Paper)", ACM SIGSPATIAL, November 2023. [PDF]
Guoying Zu, Md Nadim, Salil Reddy, Taimoor Ul Islam, Sarath Babu, Tianyi Zhang, Daji Qiao, Hongwei Zhang, Anish Arora, AraHaul: Multi-Modal Wireless X-Haul Living Lab for Long-Distance, High-Capacity Communications, IEEE Future Networks World Forum (FNWF), November 2023 [PDF]
Qiyang Ding, Pengfei Zheng, Shreyas Kudari, Shivaram Venkataraman, Zhao Zhang “Mirage: Towards Low-interruption Services on Batch GPU Clusters with Reinforcement Learning”, November 2023 [PDF]
Vallabhajosyula, M. S., Ramnath, R., & Stubbs, J, "Custom Cost, Loss, And Reward Functions to Train Regression Models for Estimating Execution Resources using HARP", Science Gateways 2023 (SG23), Pittsburgh, PA. Zenodo, October 2023 [PDF]
Rugved Katole, Kevyn Angueira, Arpita Sinha and Christopher Stewart "Multi-Agent Reinforcement Learning for Heterogeneous UAV Swarm Enabling Detailed Crop Health Assessment", October 2023 [PDF]
Vallabhajosyula, M. S., Ramnath, R., & Stubbs, J. (2023). Custom Cost, Loss, And Reward Functions to Train Regression Models for Estimating Execution Resources using HARP. Science Gateways 2023 (SG23), Pittsburgh, PA. Zenodo. October 2023 [PDF]
Sadia Khan, Beth Plale, Alfonso Morales, “Co-producing Ethical AI in ICICLE for the Panel: Embedding Ethics in Data-Intensive Research”, NSF Conference on Harnessing the Data Revolution, October 2023 [PDF]
Vardaan Pahuja, Boshi Wang, Hugo Latapie, Jayanth Srinivasa, Yu Su, “A Retrieve-and-Read Framework for Knowledge Graph Link Prediction”, In the ACM International Conference on Information and Knowledge Management (CIKM 2023), October 2023 [PDF]
Withana, Sachith, and Beth Plale. "CKN: An Edge AI Distributed Framework." 2023 IEEE 19th International Conference on e-Science (e-Science). IEEE, 2023, October 2023 [PDF]
Reza Averly and Wei-Lun Chao, Unified Out-Of-Distribution Detection: A Model-Specific Perspective, ICCV 2023. October 2023
Taimoor Ul Islam, Tianyi Zhang, Joshua Ofori Boateng, Evan Gossling, Guoying Zu, Sarath Babu, Hongwei Zhang, Daji Qiao, AraMIMO: Programmable TVWS mMIMO Living Lab for Rural Wireless, ACM Workshop on Wireless Network Testbeds, Experimental evaluation and CHaracterization (WiNTECH), September 2023 (Best Paper Award) [PDF]
Vallabhajosyula, Swathi, and Rajiv Ramnath “Towards Characterizing DNNs to Estimate Training Time using HARP (HPC Application Resource (runtime) Predictor”, July 2023 [PDF]
Vallabhajosyula, Swathi, and Rajiv Ramnath, “ Insights from the HARP Framework: Using an AI-Driven Approach for Efficient Resource Allocation in HPC Scientific Workflows”, July 2023 [PDF]
Cheng-Hao Tu, Zheda Mai, Wei-Lun Chao, Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning, CVPR 2023. June 2023
Yu Gu, Xiang Deng, Yu Su, “Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments”, May 2023 [PDF]
Tianshu Zhang, Changchang Liu, Wei-Han Lee, Yu Su, Huan Sun, “Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms”, May 2023 [PDF]
Ziru Chen, Shijie Chen, Michael White, Raymond Mooney, Ali Payani, Jayanth Srinivasa, Yu Su, Huan Sun, “Text-to-SQL Error Correction with Language Models of Code”, May 2023 [PDF]
Kai Zhang, Bernal Jimenez Gutierrez, Yu Su, “Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors”, May 2023 [PDF]
H. Ahn, T. Chen, N. Alnaasan, A. Shafi, M. Abduljabbar, H. Subramoni, and DK Panda,” Performance Characterization of using Quantization for DNN Inference on Edge Devices” , 7th IEEE International Conference on Fog and Edge Computing, May 2023 [PDF]
N.A. Alser, G. Kale, O. Mutlu, O. Tastan, and E. Ayday, “ Tuning Optimal Privacy-Utility Tradeoff in Genomic Studies Using Selective SNP Hiding”, Proceedings of Asia Pacific Bioinformatics Conference, April 2023. [PDF]
Sahil Samar, Michael Ray, James Karpinski, Mia Chen, Archita Sarin, Christian Garcia, Matthew Lange, Joe Stubbs, Mary Thomas, “Development of Authenticated Clients and Applications for ICICLE CI Services - Final Report for the REHS Program”, April 2023, [PDF]
Yamei Tu, Xiaoqi Wang, Rui Qiu, Han-Wei Shen, Michelle Miller, Jinmeng Rao, Song Gao, Patrick R Huber, Allan D Hollander, Matthew Lange, Christian R Garcia, Joe Stubbs,” An Interactive Knowledge and Learning Environment in Smart Foodsheds”, IEEE Computer Graphics and Applications, April 2023. [PDF]
Leonard Dervishi, Xinyue Wang, Wentao Li, Anisa Halimi, Jaideep Vaidya, Xiaoqian Jiang and Erman Ayday, “Poster: Facilitating Federated Genomic Data Analysis by Identifying Record Correlations while Ensuring Privacy”, Proceedings of The Annual Network & Distributed System Security Symposium – NDSS, March 2023. [PDF]
Leonard Dervishi, Wenbiao Li, Anisa Halimi, Xiaoqia Jiang, Jaideep Vaidya and Erman Ayday, “Poster: Privacy Preserving Population Stratification for Collaborative Genomic Research”, Proceedings of The Annual Network & Distributed System Security Symposium – NDSS, March 2023. [PDF]
Tianxi Ji, Erman Ayday, Emre Yilmaz and Pan Li. “Poster: Local Differentially-Private Genomic Database Fingerprinting”, Proceedings of The Annual Network & Distributed System Security Symposium – NDSS, March 2023. [PDF]
Yuzhou Jiang, Emre Yilmaz and Erman Ayday, “Poster: Robust Fingerprint of Location Trajectories Under Differential Privacy”, Proceedings of The Annual Network & Distributed System Security Symposium – NDSS, March 2023. [PDF]
Yuzhou Jiang, Tianxi Ji and Erman Ayday, “Poster: Reproducibility-Oriented and Privacy-Preserving Genomic Dataset Sharing”, Proceedings of The Annual Network & Distributed System Security Symposium – NDSS, March 2023. [PDF]
Maryam Ghasemian and Erman Ayday, “Poster: Privacy Preserving Collaborative Clustering with Hyper Parameter Recommendation”, Proceedings of The Annual Network & Distributed System Security Symposium – NDSS, March 2023. [PDF]
X. Wang, L. Dervishi, W. Li, X. Jiang, E. Ayday, and J. Vaidya, “Efficient Federated Kinship Relationship Identification”, Proceedings of the American Medical Informatics Association (AMIA) Annual Symposium, March 2023. [PDF]
Song Gao, Yingjie Hu, Wenwen Li, Lei Zou. "Special issue on geospatial artificial intelligence." GeoInformatica, 27:133–136, March 2023 [PDF]
T. Ji, E. Ayday, E. Yilmaz, and P. Li, “Differentially-Private Fingerprinting of Relational Databases”, Proceedings of The Annual Network & Distributed System Security Symposium – NDSS, March 2023. [PDF]
Abdullah Caglar Oksuz, Anisa Halimi , Erman Ayday, “AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Decision Tree Models” , Network and Distributed System Security Symposium (NDSS), March 2023 [PDF]
Hong-You Chen, Cheng-Hao Tu, Ziwei Li, Han Wei Shen, Wei-Lun Chao. “On the Importance and Applicability of Pre-Training for Federated Learning.” ICLR 2023, February 2023 [PDF]
Seth Ockerman, John Wu, Christopher Stewart, Zichen Zhang, "A Reflection on AI Model Selection for Digital Agriculture Image Datasets", Workshop on AI for Agriculture and Food Systems, January 2023 [PDF]
E Romero-Gainza, C Stewart, “AI-Driven Validation of Digital Agriculture Models” In: MDPI Sensors 23 (3), January 2023 [PDF]

2022

A. Abourayya, M. Kamp, E. Ayday, J. Kleesiek, K. Rao, G. I. Webb, and B. Rao, “AIMHI: Protecting Sensitive Data through Federated Co-Training”, In Proceedings of Workshop on Federated Learning: Recent Advances and New Challenges (in Conjunction with NeurIPS), December 2022. [PDF]
J Boubin, C Burley, P Han, B Li, B Porter, C Stewart, “Marble: Multi-agent reinforcement learning at the edge for digital agriculture” In: IEEE/ACM 7th Symposium on Edge Computing (SEC), December 2022 [PDF]
Cheng-Hao Tu, Zheda Mai, Wei-Lun Chao. “Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning.”, Dec 2022 [PDF]
Vallabhajosyula, Swathi, and Rajiv Ramnath. "Establishing a Generalizable Framework for Generating Cost-Aware Training Data and Building Unique Context-Aware Walltime Prediction Regression Models." 20th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2022). December 2022 [PDF]
Shijie Chen, Ziru Chen, Huan Sun, and Yu Su, "Error Detection for Interactive Text-to-SQL Semantic Parsing," InterNLP workshop at NeurIPS, December 2022 [PDF]
Yunlei Liang, Jiawei Zhu, Wen Ye, and Song Gao. "Region2Vec: community detection on spatial networks using graph embedding with node attributes and spatial interactions." In Proceedings of the 30th International Conference on Advances in Geographic Information Systems (SIGSPATIAL'22), pp. 1-4. November 2022 [PDF]
Jinmeng Rao, Song Gao, Michelle Miller, and Alfonso Morales. "Measuring network resilience via geospatial knowledge graph: a case study of the us multi-commodity flow network." In Proceedings of the 1st ACM SIGSPATIAL International Workshop on Geospatial Knowledge Graphs (GeoKG'22), pp. 17-25. [PDF]
Cheng Zhang, Tai-Yu Pan, Tianle Chen, Jike Zhong, Wenjin Fu, and Wei-Lun Chao, ” Learning with Free Object Segments for Long-Tailed Instance Segmentation” European Conference on Computer Vision (ECCV), Oct 27, 2022 [PDF]
Yu Gu and Yu Su. “ArcaneQA: Dynamic Program Induction and Contextualized Encoding for Knowledge Base Question Answering.” In the International Conference on Computational Linguistics (COLING'22), October 2022 [PDF]
Y. Xu, Q. Yuan, E. Barton, R. Li, P. Sadayappan, A. Sukumaran-Rajam, "Effective Performance Modeling and Domain-Specific Compiler Optimization of CNNs for GPUs," Proceedings of the 31st International Conference on Parallel Architectures and Compilation Techniques (PACT'22), October 2022 [PDF]
S Ockerman, J Wu, C Stewart, "A Case for Dataset Specific Profiling ", preprint arXiv:2208.03315, August 2022 [PDF]
Richard Cardone, Joe Stubbs, Steve Black, Christian Garcia, Anagha Jamthe, Mike Packard, Smruti Padhy, "A Design Pattern for Recoverable Job Management," PEARC '22, July 2022 [PDF]
Shijie Chen*, Ziru Chen*, Xiang Deng, Ashley Lewis, Lingbo Mo, Samuel Stevens, Zhen Wang, Xiang Yue, Tianshu Zhang, Yu Su, Huan Sun, “Bootstrapping a User-Centered Task-Oriented Dialogue System,” 1st Proceedings of Alexa Prize TaskBot July 2022 [PDF]
Nathan Dean Freeman, Joe Stubbs, Richard Cardone, "Workflow management for scientific research computing with Tapis Workflows: Architecture and Design Decisions behind Software for Research Computing Pipelines," PEARC '22, July 2022 [PDF]
Manikya Swathi Vallabhajoyula and Rajiv Ramnath, "Towards Practical, Generalizable Machine-Learning Training Pipelines to build Regression Models for Predicting Application Resource Needs on HPC Systems," Conference on Practice and Experience in Advanced Research Computing, July 2022 [PDF]
T. Ji, E. Ayday, E. Yilmaz, and P.Li, “Robust Fingerprinting of Genomic Databases,” Proceedings of Intelligent Systems for Molecular Biology (ISMB) 2022, also in Bioinformatics, June 2022. [PDF]
Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi, "HypeR: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach," SIGMOD Conference 2022: 1598-1611, June 2022 [PDF]
Romila Pradhan, Jiongli Zhu, Boris Glavic, Babak Salimi, "Interpretable Data-Based Explanations for Fairness Debugging," SIGMOD Conference 2022: 247-261, June 2022 [PDF]
Maliha Tashfia Islam, Anna Fariha, Alexandra Meliou, Babak Salimi, "Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification," SIGMOD Conference 2022: 232-246, June 2022 [PDF]
Yurong You, Katie Z Luo, Cheng Perng Phoo, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, "Learning to Detect Mobile Objects from LiDAR Scans Without Labels," Conference on Computer Vision and Pattern Recognition, June 2022 [PDF]
Chan Hee Song, Jihyung Kil, Tai-Yu Pan, Brian M. Sadler, Wei-Lun Chao, Yu Su. “One Step at a Time: Long-Horizon Vision-and-Language Navigation with Milestones,” Conference on Computer Vision and Pattern Recognition, June 2022 [PDF]
J Boubin, Z Zhang, J Chumley, C Stewart, "Data-Parallel Versus Task-Parallel Swarms for Small Unmanned Aerial Systems", 2022 IEEE/ACM Seventh International Conference on Internet-of-Things Design and Implementation, May 2022 [PDF]
Yurong You, Carlos Andres Diaz-Ruiz, Yan Wang, Wei-Lun Chao, Bharath Hariharan, Mark Campbell, Kilian Q Weinberger, "Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection in Self-Driving Cars", International Conference on Robotics and Automation, May 2022 [PDF]
Xiang Yue, Ziyu Yao, Huan Sun, “Synthetic Question Value Estimation for Domain Adaptation of Question Answering,” The 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022) , May 2022 [PDF]
Josephine Monica, Wei-Lun Chao, Mark Campbell, "Sequential Joint Shape and Pose Estimation of Vehicles with Application to Automatic Amodal Segmentation Labeling," International Conference on Robotics and Automation, May 2022 [PDF]
Jayson Boubin, Zichen Zhang, John Chumley, Christopher Stewart, “Data-Parallel Versus Task-Parallel Swarms for Small Unmanned Aerial Systems," IEEE Conference on Internet of Things Design and Implementation, May 2022 [Article]
Hong-You Chen, Wei-Lun Chao, "On Bridging Generic and Personalized Federated Learning for Image Classification," International Conference on Learning Representations, April 2022 [PDF]
Emre Yilmaz, Tianxi Ji, Erman Ayday, Pan Li, “Genomic Data Sharing under Dependent Local Differential Privacy,” Proceedings of ACM Conference on Data and Application Security and Privacy, April 2022 [PDF]
Yurong You, Katie Z Luo, Xiangyu Chen, Junan Chen, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark Campbell, Kilian Q Weinberger, "Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception", International Conference on Learning Representations, April 2022 [PDF]
Akkas, Selahattin, and Ariful Azad "JGCL: Joint Self-Supervised and Supervised Graph Contrastive Learning," in Companion Proceedings of the Web Conference, April 2022 [PDF]
Han-Jia Ye, Wei-Lun Chao, "How to Train Your MAML to Excel in Few-Shot Classification," International Conference on Learning Representations, April 2022 [PDF]
Yuhao Kang, Kunlin Wu, Song Gao, Ignavier Ng, Jinmeng Rao, Shan Ye, Fan Zhang, and Teng Fei, "STICC: a multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity," International Journal of Geographical Information Science, 1-32. March 2022 [Article]
Jcs Kadupitiya, Vikram Jadhao, Prateek Sharma, “SciSpot: Scientific Computing on Temporally Constrained Cloud Preemptible VMs,” IEEE Transactions on Parallel and Distributed Systems, March 2022 [Article]
Xiang Yue, Ziyu Yao, Huan Sun. "Synthetic Question Value Estimation for Domain Adaptation of Question Answering," 60th Annual Meeting of the Association for Computational Linguistics, March 2022 [PDF]
L. Dervishi, X. Wang, W. Li, A. Halimi, J. Vaidya, X. Jiang, and E. Ayday, “Facilitating Federated Genomic Data Analysis by Identifying Record Correlations while Ensuring Privacy”, Proceedings of the American Medical Informatics Association (AMIA) Annual Symposium, March 2022. [PDF]
Anisa Halimi, Leonard Dervishi, Erman Ayday, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux, Xiaoqian Jiang, and Jaideep Vaidya, “Privacy-Preserving and Efficient Verification of the Outcome in Genome-Wide Association Studies'', Proceedings of Privacy Enhancing Technologies Symposium (PETS), February 2022 [PDF]
Marcia R. Ostrom, David S. Conner, Heleene Tambet, Katherine Selting Smith, J. Robert Sirrine, Philip H. Howard, Michelle Miller, "Apple Grower Research and Extension Needs for Craft Cider," HortTechnology, 32(2), 147-157. February 2022 [PDF]
Molly Anderson, Lesli Hoey, Peter Hurst, Michelle Miller, Maywa Montenegro de Wit, "Debrief on the United Nations Food Systems Summit (UNFSS)," Journal of Agriculture, Food Systems, and Community Development, 11(2), 13–17. February 2022 [PDF]
Zhang Zichen, Sami Khanal, Amy Raudenbush, Kelley Tilmon, Christopher Stewart, "Assessing the efficacy of machine learning techniques to characterize soybean defoliation from unmanned aerial vehicles," Computers and Electronics in Agriculture 193 (2022): 106682. February 2022 [Article]

2021

Md Taufique Hussain, Guttu Sai Abhishek, Aydin Buluç, Ariful Azad, "Parallel Algorithms for Adding a Collection of Sparse Matrices'', IPDPS Workshops, December 2021 [PDF]
Michelle Miller, "Big data, information asymmetry, and food supply chain management for resilience," Journal of Agriculture, Food Systems, and Community Development, December 2021 [Article]
Michelle Miller, "Identifying Critical Thresholds for Resilient Regional Food Flows: A Case Study from the U.S. Upper Midwest," Frontiers in Sustainable Food Systems 5 (2021): 371. October 2021 [Article]