Jiayi Yuan

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 32

Top Topics

Software Process

Image Resolution

Neural Architecture

Top Venues

Briefings Bioinform.

Publications

Jiayi Yuan, Hongyi Liu, Shaochen Zhong, Yu-Neng Chuang, Songchen Li, Guanchu Wang, Duy Le, Hongye Jin, Vipin Chaudhary, Zhaozhuo Xu, Zirui Liu, Xia Hu
KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches. CoRR (2024)
Hongyi Liu, Zirui Liu, Ruixiang Tang, Jiayi Yuan, Shaochen Zhong, Yu-Neng Chuang, Li Li, Rui Chen, Xia Hu
LoRA-as-an-Attack! Piercing LLM Safety Under The Share-and-Play Scenario. CoRR (2024)
Zirui Liu, Jiayi Yuan, Hongye Jin, Shaochen Zhong, Zhaozhuo Xu, Vladimir Braverman, Beidi Chen, Xia Hu
KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache. CoRR (2024)
Yu-Neng Chuang, Songchen Li, Jiayi Yuan, Guanchu Wang, Kwei-Herng Lai, Leisheng Yu, Sirui Ding, Chia-Yuan Chang, Qiaoyu Tan, Daochen Zha, Xia Hu
Understanding Different Design Choices in Training Large Time Series Models. CoRR (2024)
Ruixiang (Ryan) Tang, Jiayi Yuan, Yiming Li, Zirui Liu, Rui Chen, Xia Hu
Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots. NeurIPS (2023)
Yonggan Fu, Zhifan Ye, Jiayi Yuan, Shunyao Zhang, Sixu Li, Haoran You, Yingyan Lin
Gen-NeRF: Efficient and Generalizable Neural Radiance Fields via Algorithm-Hardware Co-Design. CoRR (2023)
Haoran You, Yang Zhao, Cheng Wan, Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Shang Wu, Shunyao Zhang, Yongan Zhang, Chaojian Li, Vivek Boominathan, Ashok Veeraraghavan, Ziyun Li, Yingyan Celine Lin
EyeCoD: Eye Tracking System Acceleration via FlatCam-Based Algorithm and Hardware Co-Design. IEEE Micro 43 (4) (2023)
Jiayi Yuan, Haobo Jiang, Xiang Li, Jianjun Qian, Jun Li, Jian Yang
Structure Flow-Guided Network for Real Depth Super-resolution. AAAI (2023)
Qizhang Feng, Jiayi Yuan, Forhan Bin Emdad, Karim Hanna, Xia Hu, Zhe He
Can Attention Be Used to Explain EHR-Based Mortality Prediction Tasks: A Case Study on Hemorrhagic Stroke. CoRR (2023)
Jiayi Yuan, Haobo Jiang, Xiang Li, Jianjun Qian, Jun Li, Jian Yang
Recurrent Structure Attention Guidance for Depth Super-resolution. AAAI (2023)
Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Haoran You, Yingyan Celine Lin
NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants. DAC (2023)
Yonggan Fu, Ye Yuan, Shang Wu, Jiayi Yuan, Yingyan Lin
Robust Tickets Can Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning. CoRR (2023)
Jiayi Yuan, Haobo Jiang, Xiang Li, Jianjun Qian, Jun Li, Jian Yang
Structure Flow-Guided Network for Real Depth Super-Resolution. CoRR (2023)
Jiayi Yuan, Haobo Jiang, Xiang Li, Jianjun Qian, Jun Li, Jian Yang
Recurrent Structure Attention Guidance for Depth Super-Resolution. CoRR (2023)
Chaojian Li, Wenwan Chen, Jiayi Yuan, Yingyan Lin, Ashutosh Sabharwal
ERSAM: Neural Architecture Search For Energy-Efficient and Real-Time Social Ambiance Measurement. CoRR (2023)
Ruixiang Tang, Jiayi Yuan, Yiming Li, Zirui Liu, Rui Chen, Xia Hu
Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots. CoRR (2023)
Yonggan Fu, Ye Yuan, Shang Wu, Jiayi Yuan, Yingyan Celine Lin
Robust Tickets Can Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning. DAC (2023)
Chaojian Li, Wenwan Chen, Jiayi Yuan, Yingyan Celine Lin, Ashutosh Sabharwal
ERSAM: Neural Architecture Search for Energy-Efficient and Real-Time Social Ambiance Measurement. ICASSP (2023)
Jiayi Yuan, Ruixiang Tang, Xiaoqian Jiang, Xia Hu
LLM for Patient-Trial Matching: Privacy-Aware Data Augmentation Towards Better Performance and Generalizability. CoRR (2023)
Yonggan Fu, Zhifan Ye, Jiayi Yuan, Shunyao Zhang, Sixu Li, Haoran You, Yingyan Lin
Gen-NeRF: Efficient and Generalizable Neural Radiance Fields via Algorithm-Hardware Co-Design. ISCA (2023)
Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Haoran You, Yingyan Lin
NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants. CoRR (2023)
Qizhang Feng, Jiayi Yuan, Forhan Bin Emdad, Karim Hanna, Xia Hu, Zhe He
Can Attention Be Used to Explain EHR-Based Mortality Prediction Tasks: A Case Study on Hemorrhagic Stroke. BCB (2023)
Chia-Yuan Chang, Jiayi Yuan, Sirui Ding, Qiaoyu Tan, Kai Zhang, Xiaoqian Jiang, Xia Hu, Na Zou
Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint. CoRR (2023)
Qingjian Ni, Yuhui Wang, Jiayi Yuan
Adaptive scalable spatio-temporal graph convolutional network for PM2.5 prediction. Eng. Appl. Artif. Intell. 126 (2023)
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
EyeCoD: eye tracking system acceleration via flatcam-based algorithm & accelerator co-design. ISCA (2022)
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
EyeCoD: Eye Tracking System Acceleration via FlatCam-based Algorithm & Accelerator Co-Design. CoRR (2022)
Yonggan Fu, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghuraman Krishnamoorthi, Vikas Chandra, Yingyan Lin
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks. CoRR (2022)
Yonggan Fu, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghuraman Krishnamoorthi, Vikas Chandra, Yingyan Lin
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks. ICML (2022)
Tianjian Liang, Chen Jiang, Jiayi Yuan, Yasmin Othman, Xiang-Qun Xie, Zhiwei Feng
Differential performance of RoseTTAFold in antibody modeling. Briefings Bioinform. 23 (5) (2022)
Tianjian Liang, Hui Chen, Jiayi Yuan, Chen Jiang, Yixuan Hao, Yuanqiang Wang, Zhiwei Feng, Xiang-Qun Xie
IsAb: a computational protocol for antibody design. Briefings Bioinform. 22 (5) (2021)
Jiayi Yuan, Hongye Li, Meng Wang, Ruyang Liu, Chuanyou Li, Beilun Wang
An OpenCV-based Framework for Table Information Extraction. ICKG (2020)
Rui Zhu, Yichao Dai, Tong Li, Zifei Ma, Ming Zheng, Yahui Tang, Jiayi Yuan, Yue Huang
Automatic Real-Time Mining Software Process Activities From SVN Logs Using a Naive Bayes Classifier. IEEE Access 7 (2019)