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1st Place
- Mohna Chakraborty, Adithya Kulkarni, and Qi Li, "Zero-shot Approach to Overcome Perturbation Sensitivity of Prompts", 61st Annual Meeting of the Association for computational Lingusitics (ACL), Toronto, Canada, July, 2023.
2nd Place
- Shibbir Ahmed, Hongyang Gao, and Hridesh Rajan, "Inferring Data Preconditions from Deep Learning Models for Trustworthy Prediction in Deployment", In Proc. of the 46th International Conference on Software Engineering (ICSE), April, 2024.
3rd Place
- Ali TehraniJamsaz, Quazi Mahmud, Le Chen, Nasreen Ahmed, and Ali Jannesari, "PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis", In Proc. of the 37th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Lousiana, December, 202.
2023 Poster Presentations
- Sayem Mohammad Imtiaz, Fraol Batole, Astha Singh, Rangeet Pan, Breno Dantas Cruz, and Hridesh Rajan, "Decomposing a Recurrent Neural Network into Modules for Enabling Reusability and Replacement," ICSE’23: The 45th International Conference on Software Engineering, Melbourne, Australia, May, 2023.
- Benjamin Steenhoek, Hongyang Gao, and Wei Le, “Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection,” In Proc. of the 46th International Conference on Software Engineering (ICSE), Lisbon, Portugal, April, 2024.
- Yangruibo Ding, Ben Steenhoek, Kexin Pei, Gail Kaiser, Wei Le, and Baishakhi Ray, "TRACED: Execution-aware Pre-training for Source Code", In Proc. of the 46th International Conference on Software Engineering (ICSE), Lisbon, Portugal, April, 2024.
- Akash Dutta, Jordi Alcaraz, Ali TehraniJamsaz, Anna Sikora, Eduardo Cesar and Ali Jannesari, "Performance Optimization using Multimodal Modeling and Heterogeneous GNN," 32nd International Symposium on High-Performance Parallel and Distributed Computing (HPDC 2023), Orlando, Florida, June 20-23, 2023.
- Ling Tang and Yan-Bin Jia, “Robotic fastening with a manual screwdriver,” the IEEE International Conference on Robotics and Automation, London, UK, May 29-Jun 22, 2023.
- Shashwata Mandal and Sourabh Bhattacharya, “Relay Pursuit for Multirobot Target Tracking on Tile Graphs,” the IEEE International Conference on Robotics and Automation, London, UK, May 29-Jun 22, 2023.
- Shibbir Ahmed, Sayem Mohammad Imtiaz, Samantha Syeda Khairunnesa, Breno Dantas Cruz, and Hridesh Rajan, "Design by Contract for Deep Learning APIs," In Proc. of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), December, 2023.
- Siyuan Sun, Hongyang Gao. "Meta-AdaM: A Meta-Learned Adaptive Optimizer with Momentum for Few-Shot Learning," In Proc. of the 37th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisiana, USA, pages 1–11, December 2023.
- Tianxiang Gao, Xiaokai Huo, Hailiang Liu, Hongyang Gao. "Exploring the Gaussian Process Nature of Wide Neural Networks: Insights from Deep Equilibrium Models," In Proc. of the 37th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisiana, USA, pages 1–11, December 2023.
- Chenxu Zhao, Wei Qian, Zhitao Ying, and Mengdi Huai, "Malicious Attacks via Selective Forgetting," In Proc. of the 37th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisiana, USA, December 2023.
- Kang Zhou, Qiao Qiao, Yuepei Li, and Qi Li. "Improving Distantly Supervised Relation Extraction by Natural Language Inference," the Thirty-Seventh AAAI Conference on Artificial Intelligence, Washington, DC, 2023.
- Ying Wei and Qi Li, “ScdNER: Span-Based Consistency-Aware Document-Level Named Entity Recognition”, in Proc. of 2023 Conference on Empirical Methods in Natural Language Processing, Singapore, December 2023.
- Qing Wang, Haojie Jia, Wenfei Song, and Qi Li, “CoRec: An Easy Approach for Coordination Recognition”, in Proc. of 2023 Conference on Empirical Methods in Natural Language Processing, Singapore, December 2023.
- Qing Wang, Kang Zhou, Qiao Qiao, Yuepei Li, and Qi Li, “Improving Unsupervised Relation Extraction by Augmenting Diverse Sentence Pairs”, in Proc. of 2023 Conference on Empirical Methods in Natural Language Processing, Singapore, December 2023.
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