A novel framework for passive macro-modeling. - Zuochang Ye; Yang Li 183; Mingzhi Gao; Zhiping Yu (DAC, 2011)

An accurate semi-analytical framework for full-chip TSV-induced stress modeling. - Yang Li 183; David Z. Pan (DAC, 2013)

Time-domain segmentation based massively parallel simulation for ADCs. - Zuochang Ye; Bichen Wu; Song Han; Yang Li 183 (DAC, 2013)

Managing Hybrid Main Memories with a Page-Utility Driven Performance Model. - Yang Li 183; Jongmoo Choi; Jin Sun; Saugata Ghose; Hui Wang; Justin Meza; Jinglei Ren; Onur Mutlu (CoRR, 2015)

Domain-Alternated Optimization for Passive Macromodeling. - Zuochang Ye; Tianshi Wang; Yang Li 183 (IEEE Trans. Very Large Scale Integr. Syst., 2015)

SizeCap: Efficiently handling power surges in fuel cell powered data centers. - Yang Li 183; Di Wang 003; Saugata Ghose; Jie Liu 001; Sriram Govindan; Sean James; Eric Peterson; John Siegler; Rachata Ausavarungnirun; Onur Mutlu (HPCA, 2016)

Utility-Based Hybrid Memory Management. - Yang Li 183; Saugata Ghose; Jongmoo Choi; Jin Sun; Hui Wang; Onur Mutlu (CLUSTER, 2017)

dCat: dynamic cache management for efficient, performance-sensitive infrastructure-as-a-service. - Cong Xu; Karthick Rajamani; Alexandre Ferreira; Wesley M. Felter; Juan Rubio 001; Yang Li 183 (EuroSys, 2018)

Techniques for Efficiently Handling Power Surges in Fuel Cell Powered Data Centers: Modeling, Analysis, Results. - Yang Li 183; Di Wang 003; Saugata Ghose; Jie Liu 001; Sriram Govindan; Sean James; Eric Peterson; John Siegler; Rachata Ausavarungnirun; Onur Mutlu (CoRR, 2018)

A Scalable Priority-Aware Approach to Managing Data Center Server Power. - Yang Li 183; Charles R. Lefurgy; Karthick Rajamani; Malcolm S. Allen-Ware; Guillermo J. Silva; Daniel D. Heimsoth; Saugata Ghose; Onur Mutlu (HPCA, 2019)

Forecaster: A Graph Transformer for Forecasting Spatial and Time-Dependent Data. - Yang Li 183; José M. F. Moura (ECAI, 2020)

GSA-Forecaster: Forecasting Graph-Based Time-Dependent Data with Graph Sequence Attention. - Yang Li 183; Di Wang 003; José M. F. Moura (CoRR, 2021)

Factorized Blank Thresholding for Improved Runtime Efficiency of Neural Transducers. - Duc Le; Frank Seide; Yuhao Wang; Yang Li 183; Kjell Schubert; Ozlem Kalinli; Michael L. Seltzer (ICASSP, 2023)

Forecasting COVID-19 Dynamics: Clustering, Generalized Spatiotemporal Attention, and Impacts of Mobility and Geographic Proximity. - Tong Shen; Yang Li 183; José M. F. Moura (ICDE, 2023)

Folding Attention: Memory and Power Optimization for On-Device Transformer-based Streaming Speech Recognition. - Yang Li 183; Liangzhen Lai; Yuan Shangguan; Forrest N. Iandola; Ernie Chang; Yangyang Shi; Vikas Chandra (CoRR, 2023)

GPU-based Private Information Retrieval for On-Device Machine Learning Inference. - Maximilian Lam; Jeff Johnson 004; Wenjie Xiong 001; Kiwan Maeng; Udit Gupta; Yang Li 183; Liangzhen Lai; Ilias Leontiadis; Minsoo Rhu; Hsien-Hsin S. Lee; Vijay Janapa Reddi; Gu-Yeon Wei; et al. (ASPLOS (1), 2024)

Target-Aware Language Modeling via Granular Data Sampling. - Ernie Chang; Pin-Jie Lin; Yang Li 183; Changsheng Zhao 002; Daeil Kim; Rastislav Rabatin; Zechun Liu; Yangyang Shi; Vikas Chandra (EMNLP, 2024)

Scaling Parameter-Constrained Language Models with Quality Data. - Ernie Chang; Matteo Paltenghi; Yang Li 183; Pin-Jie Lin; Changsheng Zhao 002; Patrick Huber; Zechun Liu; Rastislav Rabatin; Yangyang Shi; Vikas Chandra (EMNLP (Industry Track), 2024)

In-Context Prompt Editing for Conditional Audio Generation. - Ernie Chang; Pin-Jie Lin; Yang Li 183; Sidd Srinivasan; Gaël Le Lan; David Kant; Yangyang Shi; Forrest N. Iandola; Vikas Chandra (ICASSP, 2024)

Folding Attention: Memory and Power Optimization for On-Device Transformer-Based Streaming Speech Recognition. - Yang Li 183; Liangzhen Lai; Yuan Shangguan; Forrest N. Iandola; Zhaoheng Ni; Ernie Chang; Yangyang Shi; Vikas Chandra (ICASSP, 2024)

Not All Weights Are Created Equal: Enhancing Energy Efficiency in On-Device Streaming Speech Recognition. - Yang Li 183; Yuan Shangguan; Yuhao Wang; Liangzhen Lai; Ernie Chang; Changsheng Zhao 002; Yangyang Shi; Vikas Chandra (CoRR, 2024)

Basis Selection: Low-Rank Decomposition of Pretrained Large Language Models for Target Applications. - Yang Li 183; Changsheng Zhao 002; Hyungtak Lee; Ernie Chang; Yangyang Shi; Vikas Chandra (CoRR, 2024)

AutoMixer: Checkpoint Artifacts as Automatic Data Mixers. - Ernie Chang; Yang Li 183; Patrick Huber; Vish Vogeti; David Kant; Yangyang Shi; Vikas Chandra (ACL (1), 2025)

Breaking Down Power Barriers in On-Device Streaming ASR: Insights and Solutions. - Yang Li 183; Yuan Shangguan; Yuhao Wang; Liangzhen Lai; Ernie Chang; Changsheng Zhao 002; Yangyang Shi; Vikas Chandra (NAACL (Industry Track), 2025)

Forecasting Graph-Based Time-Dependent Data with Graph Sequence Attention. - Yang Li 183; Di Wang 003; José M. F. Moura (ACM Trans. Knowl. Discov. Data, 2025)

AutoMixer: Checkpoint Artifacts as Automatic Data Mixers. - Ernie Chang; Yang Li 183; Patrick Huber; David Kant; Yangyang Shi; Vikas Chandra (CoRR, 2025)