| KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache Z Liu*, J Yuan*, H Jin, S Zhong, Z Xu, V Braverman, B Chen, X Hu Forty-first International Conference on Machine Learning, 2024 | 103* | 2024 |
| Large language models for healthcare data augmentation: An example on patient-trial matching J Yuan, R Tang, X Jiang, X Hu AMIA Annual Symposium Proceedings 2023, 1324, 2023 | 80* | 2023 |
| DepthShrinker: a new compression paradigm towards boosting real-hardware efficiency of compact neural networks Y Fu, H Yang, J Yuan, M Li, C Wan, R Krishnamoorthi, V Chandra, Y Lin International Conference on Machine Learning, 6849-6862, 2022 | 20 | 2022 |
| EyeCoD: eye tracking system acceleration via flatcam-based algorithm & accelerator co-design H You, C Wan, Y Zhao, Z Yu, Y Fu, J Yuan, S Wu, S Zhang, Y Zhang, C Li, ... Proceedings of the 49th Annual International Symposium on Computer …, 2022 | 20* | 2022 |
| Setting the trap: Capturing and defeating backdoors in pretrained language models through honeypots RR Tang*, J Yuan*, Y Li, Z Liu, R Chen, X Hu Advances in Neural Information Processing Systems 36, 2024 | 19* | 2024 |
| Gen-nerf: Efficient and generalizable neural radiance fields via algorithm-hardware co-design Y Fu, Z Ye, J Yuan, S Zhang, S Li, H You, Y Lin Proceedings of the 50th Annual International Symposium on Computer …, 2023 | 14 | 2023 |
| Towards fair patient-trial matching via patient-criterion level fairness constraint CY Chang, J Yuan, S Ding, Q Tan, K Zhang, X Jiang, X Hu, N Zou AMIA Annual Symposium Proceedings 2023, 884, 2024 | 12 | 2024 |
| Kv cache compression, but what must we give in return? a comprehensive benchmark of long context capable approaches J Yuan, H Liu, S Zhong, YN Chuang, S Li, G Wang, D Le, H Jin, ... arXiv preprint arXiv:2407.01527, 2024 | 9 | 2024 |
| DHP Benchmark: Are LLMs Good NLG Evaluators? Y Wang, J Yuan, YN Chuang, Z Wang, Y Liu, M Cusick, P Kulkarni, Z Ji, ... arXiv preprint arXiv:2408.13704, 2024 | 4 | 2024 |
| Can Attention Be Used to Explain EHR-Based Mortality Prediction Tasks: A Case Study on Hemorrhagic Stroke Q Feng, J Yuan, FB Emdad, K Hanna, X Hu, Z He Proceedings of the 14th ACM International Conference on Bioinformatics …, 2023 | 4 | 2023 |
| Robust tickets can transfer better: Drawing more transferable subnetworks in transfer learning Y Fu, Y Yuan, S Wu, J Yuan, YC Lin 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | 4 | 2023 |
| GNNs Also Deserve Editing, and They Need It More Than Once S Zhong, D Le, Z Liu, Z Jiang, A Ye, J Zhang, J Yuan, K Zhou, Z Xu, J Ma, ... Forty-first International Conference on Machine Learning, 2024 | 3 | 2024 |
| Understanding Different Design Choices in Training Large Time Series Models YN Chuang*, S Li*, J Yuan*, G Wang*, KH Lai*, L Yu, S Ding, CY Chang, ... arXiv preprint arXiv:2406.14045, 2024 | 2 | 2024 |
| LoRA-as-an-Attack! Piercing LLM Safety Under The Share-and-Play Scenario H Liu, Z Liu, R Tang, J Yuan, S Zhong, YN Chuang, L Li, R Chen, X Hu arXiv preprint arXiv:2403.00108, 2024 | 2 | 2024 |
| Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion G Wang, YN Chuang, R Tang, S Zhong, J Yuan, H Jin, Z Liu, ... arXiv preprint arXiv:2410.05331, 2024 | 1 | 2024 |
| NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants Z Yu, Y Fu, J Yuan, H You, YC Lin 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | 1 | 2023 |
| ERSAM: Neural Architecture Search for Energy-Efficient and Real-Time Social Ambiance Measurement C Li*, W Chen*, J Yuan*, YC Lin, A Sabharwal ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
| Fair Patient-Trial Matching for Underrepresented Groups CY Chang, S Ding, J Yuan, K Zhang, X Jiang, X Hu, N Zou | | 2023 |
| Attack on LLMs: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem H Liu, S Zhong, X Sun, M Tian, Z Liu, R Tang, J Yuan, YN Chuang, L Li, ... | | |
Xia "Ben" HuAssociate Professor of Computer Science, Rice UniversityVerified email at rice.edu