Jiayi Yuan

According to our database, Jiayi Yuan authored at least 25 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

CoRR, 2024

Understanding Different Design Choices in Training Large Time Series Models.

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

CoRR, 2024

LoRA-as-an-Attack! Piercing LLM Safety Under The Share-and-Play Scenario.

Hongyi Liu, Zirui Liu, Ruixiang Tang, Jiayi Yuan, Shaochen Zhong, Yu-Neng Chuang, Li Li, Rui Chen, Xia Hu

CoRR, 2024

GNNs Also Deserve Editing, and They Need It More Than Once.

Shaochen 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache.

Zirui Liu, Jiayi Yuan, Hongye Jin, Shaochen Zhong, Zhaozhuo Xu, Vladimir Braverman, Beidi Chen, Xia Hu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches.

Jiayi Yuan, Hongyi Liu, Shaochen Zhong, Yu-Neng Chuang, Songchen Li, Guanchu Wang, Duy Le, Hongye Jin, Vipin Chaudhary, Zhaozhuo Xu, Zirui Liu, Xia Ben Hu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Adaptive scalable spatio-temporal graph convolutional network for PM2.5 prediction.

Qingjian Ni, Yuhui Wang, Jiayi Yuan

Eng. Appl. Artif. Intell., November, 2023

EyeCoD: Eye Tracking System Acceleration via FlatCam-Based Algorithm and Hardware Co-Design.

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

IEEE Micro, 2023

LLM for Patient-Trial Matching: Privacy-Aware Data Augmentation Towards Better Performance and Generalizability.

Jiayi Yuan, Ruixiang Tang, Xiaoqian Jiang, Xia Hu

CoRR, 2023

Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint.

Chia-Yuan Chang, Jiayi Yuan, Sirui Ding, Qiaoyu Tan, Kai Zhang, Xiaoqian Jiang, Xia Hu, Na Zou

CoRR, 2023

Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots.

Ruixiang (Ryan) Tang, Jiayi Yuan, Yiming Li, Zirui Liu, Rui Chen, Xia Hu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

ERSAM: Neural Architecture Search for Energy-Efficient and Real-Time Social Ambiance Measurement.

Chaojian Li, Wenwan Chen, Jiayi Yuan, Yingyan Celine Lin, Ashutosh Sabharwal

Proceedings of the IEEE International Conference on Acoustics, 2023

NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants.

Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Haoran You, Yingyan Celine Lin

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Robust Tickets Can Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning.

Yonggan Fu, Ye Yuan, Shang Wu, Jiayi Yuan, Yingyan Celine Lin

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Can Attention Be Used to Explain EHR-Based Mortality Prediction Tasks: A Case Study on Hemorrhagic Stroke.

Qizhang Feng, Jiayi Yuan, Forhan Bin Emdad, Karim Hanna, Xia Hu, Zhe He

Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

Structure Flow-Guided Network for Real Depth Super-resolution.

Jiayi Yuan, Haobo Jiang, Xiang Li, Jianjun Qian, Jun Li, Jian Yang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Recurrent Structure Attention Guidance for Depth Super-resolution.

Jiayi Yuan, Haobo Jiang, Xiang Li, Jianjun Qian, Jun Li, Jian Yang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Differential performance of RoseTTAFold in antibody modeling.

Tianjian Liang, Chen Jiang, Jiayi Yuan, Yasmin Othman, Xiang-Qun Xie, Zhiwei Feng

Briefings Bioinform., 2022

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

Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

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

Proceedings of the International Conference on Machine Learning, 2022

2021

IsAb: a computational protocol for antibody design.

Tianjian Liang, Hui Chen, Jiayi Yuan, Chen Jiang, Yixuan Hao, Yuanqiang Wang, Zhiwei Feng, Xiang-Qun Xie

Briefings Bioinform., 2021

2020

An OpenCV-based Framework for Table Information Extraction.

Jiayi Yuan, Hongye Li, Meng Wang, Ruyang Liu, Chuanyou Li, Beilun Wang

Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

2019

Automatic Real-Time Mining Software Process Activities From SVN Logs Using a Naive Bayes Classifier.

Rui Zhu, Yichao Dai, Tong Li, Zifei Ma, Ming Zheng, Yahui Tang, Jiayi Yuan, Yue Huang

IEEE Access, 2019