| A Comprehensive Study of Deep Learning Compiler Bugs. Q Shen, H Ma, J Chen, Y Tian, S Cheung, X Chen The ACM Joint European Software Engineering Conference and Symposium on the …, 2021 | 103 | 2021 |
| Historical spectrum based fault localization M Wen, J Chen, Y Tian, R Wu, D Hao, S Han, SC Cheung IEEE Transactions on Software Engineering 47 (11), 2348-2368, 2019 | 93 | 2019 |
| AdvDoor: Adversarial Backdoor Attack of Deep Learning System. Q Zhang, Y Ding, Y Tian, J Guo, M Yuan, Y Jiang ACM SIGSOFT International Symposium on Software Testing and Analysis, 2021 | 79 | 2021 |
| Exploring and exploiting the correlations between bug-inducing and bug-fixing commits M Wen, R Wu, Y Liu, Y Tian, X Xie, SC Cheung, Z Su Proceedings of the 2019 27th ACM Joint Meeting on European Software …, 2019 | 59 | 2019 |
| DeepFD: automated fault diagnosis and localization for deep learning programs J Cao, M Li, X Chen, M Wen, Y Tian, B Wu, SC Cheung Proceedings of the 44th International Conference on Software Engineering …, 2022 | 48 | 2022 |
| To What Extent Do DNN-based Image Classification Models Make Unreliable Inferences? Y Tian, S Ma, M Wen, Y Liu, SC Cheung, X Zhang Empirical Software Engineering 26, 2021 | 26 | 2021 |
| COMET: Coverage-guided Model Generation For Deep Learning Library Testing M Li, J Cao, Y Tian, TO Li, M Wen, SC Cheung ACM Transactions on Software Engineering and Methodology 32 (5), 1-34, 2023 | 21 | 2023 |
| Fuzzing Deep Learning Compilers with HirGen H Ma, Q Shen, Y Tian, J Chen, SC Cheung Proceedings of the 32nd ACM SIGSOFT International Symposium on Software …, 2023 | 21 | 2023 |
| SnR: constraint-based type inference for incomplete Java code snippets Y Dong, T Gu, Y Tian, C Sun Proceedings of the 44th International Conference on Software Engineering …, 2022 | 21 | 2022 |
| Pushing the Limit of 1-Minimality of Language-Agnostic Program Reduction Z Xu, Y Tian, M Zhang, G Zhao, Y Jiang, C Sun Proceedings of the ACM on Programming Languages 7 (OOPSLA1), 636-664, 2023 | 16 | 2023 |
| EvalDNN: A Toolbox for Evaluating Deep Neural Network Models Y Tian, Z Zeng, M Wen, Y Liu, T Kuo, SC Cheung 2020 IEEE/ACM 42nd International Conference on Software Engineering …, 2020 | 16 | 2020 |
| Bash in the Wild: Language Usage, Code Smells, and Bugs Y Dong, Z Li, Y Tian, C Sun, MW Godfrey, M Nagappan ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY 32 (1), 2023 | 12 | 2023 |
| LPR: Large Language Models-Aided Program Reduction M Zhang, Y Tian, Z Xu, Y Dong, SH Tan, C Sun Proceedings of the 33rd ACM SIGSOFT International Symposium on Software …, 2024 | 10 | 2024 |
| Unveiling performance of NFV software dataplanes Z Niu, H Xu, L Liu, Y Tian, P Wang, Z Li Proceedings of the 2nd Workshop on Cloud-Assisted Networking, 13-18, 2017 | 10 | 2017 |
| On the Caching Schemes to Speed Up Program Reduction Y Tian, X Zhang, Y Dong, Z Xu, M Zhang, Y Jiang, SC Cheung, C Sun ACM Transactions on Software Engineering and Methodology 33 (1), 1-30, 2023 | 8 | 2023 |
| Compilation Consistency Modulo Debug Information TL Wang, Y Tian, Y Dong, Z Xu, C Sun the 28th ACM International Conference on Architectural Support for …, 2023 | 8 | 2023 |
| PPR: Pairwise Program Reduction M Zhang, Z Xu, Y Tian, Y Jiang, C Sun Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023 | 7 | 2023 |
| Finding Deviated Behaviors of the Compressed DNN Models for Image Classifications Y Tian, W Zhang, M Wen, SC Cheung, C Sun, S Ma, Y Jiang ACM Transactions on Software Engineering and Methodology, 2023 | 7 | 2023 |
| Toward Actionable Testing of Deep Learning Models Y Xiong, Y Tian, Y Liu, S Cheung Science China, Information Sciences, 2022 | 7 | 2022 |
| Revisiting the Evaluation of Deep Learning-Based Compiler Testing Y Tian, Z Xu, Y Dong, C Sun, SC Cheung Proceedings of the Thirty-Second International Joint Conference on …, 2023 | 6 | 2023 |
Shing-Chi CheungChair Professor of Computer Science and Engineering, HKUSTVerified email at cse.ust.hk
