Deep Clustering by Gaussian Mixture Variational Autoencoders With Graph Embedding L Yang, NM Cheung, J Li, J Fang Proceedings of the IEEE International Conference on Computer Vision, 6440-6449, 2019 | 150 | 2019 |
Automatic Loop-Invariant Generation and Refinement through Selective Sampling J Li, J Sun, L Li, QL Le, SW Lin the 32nd IEEE/ACM International Conference on Automated Software Engineering, 2017 | 40 | 2017 |
A comprehensive study of real-world bugs in machine learning model optimization H Guan, Y Xiao, J Li, Y Liu, G Bai 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 7 | 2023 |
Verification assisted gas reduction for smart contracts B Gao, S Shen, L Shi, J Li, J Sun, L Bu 2021 28th Asia-Pacific Software Engineering Conference (APSEC), 264-274, 2021 | 6 | 2021 |
Classification-based parameter synthesis for parametric timed automata J Li, J Sun, B Gao, É André Formal Methods and Software Engineering: 19th International Conference on …, 2017 | 6 | 2017 |
sverify: Verifying smart contracts through lazy annotation and learning B Gao, L Shi, J Li, J Chang, J Sun, Z Yang Leveraging Applications of Formal Methods, Verification and Validation: 10th …, 2021 | 2 | 2021 |
SOCRATES: Towards a Unified Platform for Neural Network Analysis LH Pham, J Li, J Sun arXiv preprint arXiv:2007.11206, 2020 | 2 | 2020 |
ReLU Hull Approximation Z Ma, J Li, G Bai Proceedings of the ACM on Programming Languages 8 (POPL), 2260-2287, 2024 | 1 | 2024 |
Scaling BDD-based Timed Verification with Simulation Reduction TK Nguyen, TH Tan, J Sun, J Li, Y Liu, M Chen, JS Dong Formal Methods and Software Engineering: 18th International Conference on …, 2016 | 1 | 2016 |
Towards an Effective and Interpretable Refinement Approach for DNN Verification J Li, G Bai, LH Pham, J Sun 2023 IEEE 23rd International Conference on Software Quality, Reliability …, 2023 | | 2023 |