| Programmable {In-Network} security for context-aware {BYOD} policies Q Kang, L Xue, A Morrison, Y Tang, A Chen, X Luo 29th USENIX Security Symposium (USENIX Security 20), 595-612, 2020 | 67 | 2020 |
| A parallel shortest path algorithm based on graph-partitioning and iterative correcting Y Tang, Y Zhang, H Chen 2008 10th IEEE International Conference on High Performance Computing and …, 2008 | 39 | 2008 |
| Distributed learning of fully connected neural networks using independent subnet training B Yuan, CR Wolfe, C Dun, Y Tang, A Kyrillidis, C Jermaine Proceedings of the VLDB Endowment 15 (8), 2022 | 27 | 2022 |
| Tensor relational algebra for distributed machine learning system design B Yuan, D Jankov, J Zou, Y Tang, D Bourgeois, C Jermaine Proceedings of the VLDB Endowment 14 (8), 2021 | 23 | 2021 |
| Distributed learning of deep neural networks using independent subnet training B Yuan, CR Wolfe, C Dun, Y Tang, A Kyrillidis, CM Jermaine arXiv preprint arXiv:1910.02120, 2019 | 19 | 2019 |
| Compress, then prompt: Improving accuracy-efficiency trade-off of llm inference with transferable prompt Z Xu, Z Liu, B Chen, Y Tang, J Wang, K Zhou, X Hu, A Shrivastava arXiv preprint arXiv:2305.11186, 2023 | 15 | 2023 |
| Tensor relational algebra for machine learning system design B Yuan, D Jankov, J Zou, Y Tang, D Bourgeois, C Jermaine Proceedings of the VLDB Endowment 14 (8), 1338-1350, 2020 | 13 | 2020 |
| Exploring simulation of software-defined underwater wireless networks L Wei, Y Tang, Y Cao, Z Wang, M Gerla Proceedings of the 12th International Conference on Underwater Networks …, 2017 | 9 | 2017 |
| Automatic performance tuning of spmv on gpgpu X Zhang, Y Zhang, X Sun, F Liu, S Liu, Y Tang, Y Li HPC Asia, Kaohsiung, Taiwan, China, 173-179, 2009 | 5 | 2009 |
| Auto-differentiation of relational computations for very large scale machine learning Y Tang, Z Ding, D Jankov, B Yuan, D Bourgeois, C Jermaine International Conference on Machine Learning, 33581-33598, 2023 | 4 | 2023 |
| Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat Y Tang, E Hu, A Kyrillidis, C Jermaine Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 4 | 2023 |
| A parallel shortest path algorithm based on graph-partitioning and iterative correcting Y Tang, Y Zhang, H Chen | 4 | 2009 |
| Pan-cancer analysis of intra-tumor heterogeneity in 9,116 cancers using a novel regularized likelihood model Y Jiang, K Yu, MD Montierth, S Ji, SJ Shin, S Guo, S Cao, Y Tang, ... Cancer Research 83 (7_Supplement), 4272-4272, 2023 | | 2023 |
| A Programmable, Hardware-Assisted Network Protocol Fuzzer Y Tang, A Chen 13th {USENIX} Symposium on Operating Systems Design and Implementation …, 2018 | | 2018 |
| Supplemental Material for Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat E Hu, Y Tang, A Kyrillidis, C Jermaine | | |
