DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks. - Yonggan Fu; Haichuan Yang; Jiayi Yuan 001; Meng Li 004; Cheng Wan 005; Raghuraman Krishnamoorthi; Vikas Chandra; Yingyan Lin (ICML, 2022)

EyeCoD: eye tracking system acceleration via flatcam-based algorithm & accelerator co-design. - Haoran You; Cheng Wan 005; Yang Zhao 013; Zhongzhi Yu; Yonggan Fu; Jiayi Yuan 001; Shang Wu 003; Shunyao Zhang; Yongan Zhang; Chaojian Li; Vivek Boominathan; Ashok Veeraraghavan; et al. (ISCA, 2022)

Can Attention Be Used to Explain EHR-Based Mortality Prediction Tasks: A Case Study on Hemorrhagic Stroke. - Qizhang Feng; Jiayi Yuan 001; Forhan Bin Emdad; Karim Hanna; Xia Hu 001; Zhe He 001 (BCB, 2023)

Robust Tickets Can Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning. - Yonggan Fu; Ye Yuan; Shang Wu 003; Jiayi Yuan 001; Yingyan Celine Lin (DAC, 2023)

NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants. - Zhongzhi Yu; Yonggan Fu; Jiayi Yuan 001; Haoran You; Yingyan Celine Lin (DAC, 2023)

ERSAM: Neural Architecture Search for Energy-Efficient and Real-Time Social Ambiance Measurement. - Chaojian Li; Wenwan Chen; Jiayi Yuan 001; Yingyan Celine Lin; Ashutosh Sabharwal (ICASSP, 2023)

Gen-NeRF: Efficient and Generalizable Neural Radiance Fields via Algorithm-Hardware Co-Design. - Yonggan Fu; Zhifan Ye; Jiayi Yuan 001; Shunyao Zhang; Sixu Li; Haoran You; Yingyan Lin (ISCA, 2023)

Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots. - Ruixiang (Ryan) Tang; Jiayi Yuan 001; Yiming Li; Zirui Liu 001; Rui Chen 012; Xia Hu 001 (NeurIPS, 2023)

Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint. - Chia-Yuan Chang 002; Jiayi Yuan 001; Sirui Ding; Qiaoyu Tan; Kai Zhang 041; Xiaoqian Jiang; Xia Hu 001; Na Zou 001 (CoRR, 2023)

LLM for Patient-Trial Matching: Privacy-Aware Data Augmentation Towards Better Performance and Generalizability. - Jiayi Yuan 001; Ruixiang Tang; Xiaoqian Jiang; Xia Hu 001 (CoRR, 2023)

EyeCoD: Eye Tracking System Acceleration via FlatCam-Based Algorithm and Hardware Co-Design. - Haoran You; Yang Zhao 013; Cheng Wan 005; Zhongzhi Yu; Yonggan Fu; Jiayi Yuan 001; Shang Wu 003; Shunyao Zhang; Yongan Zhang; Chaojian Li; Vivek Boominathan; Ashok Veeraraghavan; et al. (IEEE Micro, 2023)

Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion. - Guanchu Wang; Yu-Neng Chuang; Ruixiang Tang; Shaochen Zhong; Jiayi Yuan 001; Hongye Jin; Zirui Liu 001; Vipin Chaudhary; Shuai Xu; James Caverlee; Xia Ben Hu (EMNLP, 2024)

KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches. - Jiayi Yuan 001; Hongyi Liu; Shaochen (Henry) Zhong; Yu-Neng Chuang; Songchen Li; Guanchu Wang; Duy Le 001; Hongye Jin; Vipin Chaudhary; Zhaozhuo Xu; Zirui Liu 001; Xia Ben Hu (EMNLP (Findings), 2024)

KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache. - Zirui Liu 001; Jiayi Yuan 001; Hongye Jin; Shaochen (Henry) Zhong; Zhaozhuo Xu; Vladimir Braverman; Beidi Chen; Xia Hu 001 (ICML, 2024)

GNNs Also Deserve Editing, and They Need It More Than Once. - Shaochen (Henry) Zhong; Duy Le 001; Zirui Liu 001; Zhimeng Jiang; Andrew Ye; Jiamu Zhang; Jiayi Yuan 001; Kaixiong Zhou; Zhaozhuo Xu; Jing Ma; Shuai Xu; Vipin Chaudhary; et al. (ICML, 2024)

LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem. - Hongyi Liu; Shaochen (Henry) Zhong; Xintong Sun; Minghao Tian; Mohsen Hariri; Zirui Liu 001; Ruixiang Tang; Zhimeng Jiang; Jiayi Yuan 001; Yu-Neng Chuang; Li Li 035; Soo-Hyun Choi; et al. (CoRR, 2024)

Understanding Different Design Choices in Training Large Time Series Models. - Yu-Neng Chuang; Songchen Li; Jiayi Yuan 001; Guanchu Wang; Kwei-Herng Lai; Leisheng Yu; Sirui Ding; Chia-Yuan Chang 002; Qiaoyu Tan; Daochen Zha; Xia Hu 001 (CoRR, 2024)

ReasonerRank: Redefining Language Model Evaluation with Ground-Truth-Free Ranking Frameworks. - Jiamu Zhang; Jiayi Yuan 001; Andrew Wen; Hoang Anh Duy Le; Yu-Neng Chuang; Soo-Hyun Choi; Rui Chen 012; Xia Hu 001 (ACL (Findings), 2025)

DHP Benchmark: Are LLMs Good NLG Evaluators? - Yicheng Wang; Jiayi Yuan 001; Yu-Neng Chuang; Zhuoer Wang; Yingchi Liu; Mark Cusick; Param Kulkarni; Zhengping Ji; Yasser Ibrahim; Xia Hu 001 (NAACL (Findings), 2025)

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models. - Yang Sui; Yu-Neng Chuang; Guanchu Wang; Jiamu Zhang; Tianyi Zhang; Jiayi Yuan 001; Hongyi Liu; Andrew Wen; Shaochen Zhong; Na Zou 001; Hanjie Chen; Xia Hu 001 (Trans. Mach. Learn. Res., 2025)

The Science of Evaluating Foundation Models. - Jiayi Yuan 001; Jiamu Zhang; Andrew Wen; Xia Hu 001 (CoRR, 2025)

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models. - Yang Sui; Yu-Neng Chuang; Guanchu Wang; Jiamu Zhang; Tianyi Zhang; Jiayi Yuan 001; Hongyi Liu; Andrew Wen; Shaochen Zhong; Hanjie Chen; Xia Ben Hu (CoRR, 2025)

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 001; Yang Sui; Vladimir Braverman; Vipin Chaudhary; Xia Hu 001 (CoRR, 2025)

Give Me FP32 or Give Me Death? Challenges and Solutions for Reproducible Reasoning. - Jiayi Yuan 001; Hao Li; Xinheng Ding; Wenya Xie; Yu-Jhe Li; Wentian Zhao; Kun Wan 001; Jing Shi; Xia Hu 001; Zirui Liu 001 (CoRR, 2025)