| 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 | 75 | 2020 |
| 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, 2022 | 34 | 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 | 28 | 2021 |
| 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 | 24 | 2023 |
| 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 |
| 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 | 14 | 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 | 10 | 2017 |
| 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 | 7 | 2023 |
| 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 | 6 | 2023 |
| Federated multiple label hashing (FedMLH): Communication efficient federated learning on extreme classification tasks Z Dai, C Dun, Y Tang, A Kyrillidis, A Shrivastava arXiv preprint arXiv:2110.12292, 2021 | 2 | 2021 |
| Soft Prompt Recovers Compressed LLMs, Transferably Z Xu, Z Liu, B Chen, S Zhong, Y Tang, W Jue, K Zhou, X Hu, ... Forty-first International Conference on Machine Learning, 0 | 1 | |
| SimCE: Simplifying Cross-Entropy Loss for Collaborative Filtering X Yang, H Chen, Y Yan, Y Tang, Y Zhao, E Xu, Y Cai, H Tong arXiv preprint arXiv:2406.16170, 2024 | | 2024 |
| TURNIP: A" Nondeterministic" GPU Runtime with CPU RAM Offload Z Ding, J Yao, B Barrow, TL Botran, C Jermaine, Y Tang, J Li, X Yao, ... arXiv preprint arXiv:2405.16283, 2024 | | 2024 |
| 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 | | |
