• 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]
  • 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
  • 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]
  • 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]
  • 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]
  • 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]
  • 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]

  • 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]


  • 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]