Jiayi Yuan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
9
Active years
2022–2026
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | AutoL2S: Auto Long-Short Reasoning for Efficient Large Language Models. | Feng Luo, Yu-Neng Chuang, Guanchu Wang, Hoang Anh Duy Le, Shaochen Zhong, Hongyi Liu, Jiayi Yuan, Yang Sui, Vladimir Braverman, Vipin Chaudhary, Xia Ben Hu |
| 2025 | ACL | ReasonerRank: Redefining Language Model Evaluation with Ground-Truth-Free Ranking Frameworks. | Jiamu Zhang, Jiayi Yuan, Andrew Wen, Hoang Anh Duy Le, Yu-Neng Chuang, Soo-Hyun Choi, Rui Chen, Xia Hu |
| 2025 | EMNLP | LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem. | Hongyi Liu, Shaochen Zhong, Xintong Sun, Minghao Tian, Mohsen Hariri, Zirui Liu, Ruixiang Tang, Zhimeng Jiang, Jiayi Yuan, Yu-Neng Chuang, Li Li, Soo-Hyun Choi, Rui Chen, Vipin Chaudhary, Xia Hu |
| 2025 | ICLR | InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma. | Xiaoxuan Hou, Jiayi Yuan, Joel Z. Leibo, Natasha Jaques |
| 2025 | NAACL | DHP Benchmark: Are LLMs Good NLG Evaluators? | Yicheng Wang, Jiayi Yuan, Yu-Neng Chuang, Zhuoer Wang, Yingchi Liu, Mark Cusick, Param Kulkarni, Zhengping Ji, Yasser Ibrahim, Xia Hu |
| 2024 | EMNLP | Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion. | Guanchu Wang, Yu-Neng Chuang, Ruixiang Tang, Shaochen Zhong, Jiayi Yuan, Hongye Jin, Zirui Liu, Vipin Chaudhary, Shuai Xu, James Caverlee, Xia Ben Hu |
| 2024 | EMNLP | KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches. | Jiayi Yuan, Hongyi Liu, Shaochen (Henry) Zhong, Yu-Neng Chuang, Songchen Li, Guanchu Wang, Duy Le, Hongye Jin, Vipin Chaudhary, Zhaozhuo Xu, Zirui Liu, Xia Ben Hu |
| 2024 | ICML | KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache. | Zirui Liu, Jiayi Yuan, Hongye Jin, Shaochen (Henry) Zhong, Zhaozhuo Xu, Vladimir Braverman, Beidi Chen, Xia Hu |
| 2024 | ICML | GNNs Also Deserve Editing, and They Need It More Than Once. | Shaochen (Henry) Zhong, Duy Le, Zirui Liu, Zhimeng Jiang, Andrew Ye, Jiamu Zhang, Jiayi Yuan, Kaixiong Zhou, Zhaozhuo Xu, Jing Ma, Shuai Xu, Vipin Chaudhary, Xia Hu |
| 2023 | AAAI | Recurrent Structure Attention Guidance for Depth Super-resolution. | Jiayi Yuan, Haobo Jiang, Xiang Li, Jianjun Qian, Jun Li, Jian Yang |
| 2023 | AAAI | Structure Flow-Guided Network for Real Depth Super-resolution. | Jiayi Yuan, Haobo Jiang, Xiang Li, Jianjun Qian, Jun Li, Jian Yang |
| 2023 | DAC | Robust Tickets Can Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning. | Yonggan Fu, Ye Yuan, Shang Wu, Jiayi Yuan, Yingyan Celine Lin |
| 2023 | DAC | NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants. | Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Haoran You, Yingyan Celine Lin |
| 2023 | ICASSP | ERSAM: Neural Architecture Search for Energy-Efficient and Real-Time Social Ambiance Measurement. | Chaojian Li, Wenwan Chen, Jiayi Yuan, Yingyan Celine Lin, Ashutosh Sabharwal |
| 2023 | ISCA | Gen-NeRF: Efficient and Generalizable Neural Radiance Fields via Algorithm-Hardware Co-Design. | Yonggan Fu, Zhifan Ye, Jiayi Yuan, Shunyao Zhang, Sixu Li, Haoran You, Yingyan Lin |
| 2022 | ICML | DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks. | Yonggan Fu, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghuraman Krishnamoorthi, Vikas Chandra, Yingyan Lin |
| 2022 | ISCA | EyeCoD: eye tracking system acceleration via flatcam-based algorithm & accelerator co-design. | Haoran You, Cheng Wan, Yang Zhao, Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Shang Wu, Shunyao Zhang, Yongan Zhang, Chaojian Li, Vivek Boominathan, Ashok Veeraraghavan, Ziyun Li, Yingyan Lin |