Research Papers

Ernie Chang*, Yang Li*, Patrick Huber, Vish Vogeti, David Kant, Yangyang Shi, Vikas Chandra.
"AutoMixer: Checkpoint Artifacts as Automatic Data Mixers".
Proceedings of the Conference of the Association for Computational Linguistics (ACL), 2025.

Yang Li, Daniel Asante, Changsheng Zhao, Ernie Chang, Yangyang Shi, Vikas Chandra.
"Basis Selection: Low-Rank Decomposition of Pretrained Large Language Models for Target Applications".
in review at a journal, 2024.

Yang Li*, Yuan Shangguan*, Yuhao Wang, Liangzhen Lai, Ernie Chang, Changsheng Zhao, Yangyang Shi, and Vikas Chandra.
"Breaking Down Power Barriers in On-Device Streaming ASR: Insights and Solutions”.
Proceedings of the Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), Industry Track, 2025. (Also Selected for Oral Presentation).

Y. Li, D. Wang, and José M. F. Moura.
"GSA-Forecaster: Forecasting Graph-Based Time-Dependent Data with Graph Sequence Attention".
ACM Transactions on Knowledge Discovery from Data (TKDD), 2025.

Ernie Chang, Matteo Paltenghi, Yang Li, Pin-Jie Lin, Changsheng Zhao, Patrick Huber, Zechun Liu, Rastislav Rabatin, Yangyang Shi, Vikas Chandra.
"Scaling Parameter-Constrained Language Models with Quality Data".
Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), Industry Track, 2024.

Ernie Chang, Pin-Jie Lin, Yang Li, Changsheng Zhao, Daeil Kim, Rastislav Rabatin, Zechun Liu, Yangyang Shi, Vikas Chandra.
"Target-Aware Language Modeling via Granular Data Sampling".
Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.

Maximilian Lam, Jeff Johnson, Wenjie Xiong, Kiwan Maeng, Udit Gupta, Yang Li, Liangzhen Lai, Illias Leontiadis, Minsoo Rhu, Hsien-Hsin Lee, Vijay Janapa Reddi, Gu-Yeon Wei, David Brooks, and Edward Suh.
"GPU-based Private Information Retrieval for On-Device Machine Learning Inference".
Proceedings of the ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2024.

Jamin Seo, Yang Li, Debabrata Mohapatra, Liangzhen Lai, Hyoukjun Kwon, Tushar Krishna.
"Memory Placement Policy Exploration for Dynamic Multi-model Multi-task ML Workloads”.
in review at a conference, 2024.

Yang Li*, Liangzhen Lai*, Yuan Shangguan, Forrest N. Iandola, Zhaoheng Ni, Ernie Chang, Yangyang Shi, and Vikas Chandra.
"Folding Attention: Memory and Power Optimization for On-Device Transformer-based Streaming Speech Recognition".
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.

Ernie Chang*, Pin-Jie Lin*, Yang Li, Sidd Srinivasan, Gael Le Lan, David Kant, Yangyang Shi, Forrest Iandola, and Vikas Chandra.
"In-Context Prompt Editing for Conditional Audio Generation".
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.

Duc Le, Frank Seide, Yuhao Wang, Yang Li, Kjell Schubert, Ozlem Kalinli, and Michael L. Seltzer.
"Factorized Blank Thresholding for Improved Runtime Efficiency of Neural Transducers".
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023.

Y. Li and José M. F. Moura.
"Forecaster: A Graph Transformer for Forecasting Spatial and Time-Dependent Data".
Proceedings of the European Conference on Artificial Intelligence (ECAI), 2020.

Yang Li, Charles R. Lefurgy, Karthick Rajamani, Malcolm S. Allen-Ware, Guillermo J. Silva, Daniel D. Heimsoth, Saugata Ghose, and Onur Mutlu.
"A Scalable Priority-Aware Approach to Managing Data Center Server Power".
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2019.

Technical report: "CapMaestro: exploiting power redundancy, data center-wide priorities, and stranded power for boosting data center performance," in IBM Research Report, 2018.

Cong Xu, Karthick Rajamani, Alexandre Ferreira, Wesley Felter, Juan Rubio, and Yang Li.
"dCat: Dynamic Cache Management for Efficient, Performance-Sensitive Infrastructure-as-a-Service".
Proceedings of the ACM European Conference on Computer Systems (EuroSys), 2018. (acceptance rate: 16%).

Y. Li, Saugata Ghose, Jongmoo Choi, Jin Sun, Hui Wang, and Onur Mutlu.
"Utility-based Hybrid Memory Management".
Proceedings of the IEEE International Conference on Cluster Computing (Cluster), 2017.

Yang Li, Di Wang, Saugata Ghose, Jie Liu, Sriram Govindan, Sean James, Eric Peterson, John Siegler, Rachata Ausavarungnirun, and Onur Mutlu.
"SizeCap: Efficiently Handling Power Surges for Fuel Cell Powered Data Centers".
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2016.

Zuochang Ye, Tianshi Wang, and Yang Li.
"Domain-Alternated Optimization for Passive Macromodeling".
IEEE Transactions on Very Large Scale Integration Systems (TVLSI), 2015.

Yang Li and David Z. Pan.
"An Accurate Semi-Analytical Framework for Full-Chip TSV-induced Stress modeling".
Proceedings of the IEEE/ACM Design Automation Conference (DAC), 2013.

Zuochang Ye, Bichen Wu, Song Han, and Yang Li.
"Time-Domain Segmentation based Massively Parallel Simulation for ADCs".
Proceedings of the IEEE/ACM Design Automation Conference (DAC), 2013.

Tianshi Wang, Yang Li, and Zuochang Ye.
"Robust Passive Macro-Model Generation with Local Compensation".
IEEE Transactions on Microwave Theory and Techniques (TMTT), 2012
(see "Corrections to ‘Robust Passive Macro-Model Generation with Local Compensation'" in TMTT’13 for authorship information).

Zuochang Ye, Yang Li, Mingzhi Gao, and Zhiping Yu.
"A Novel Framework for Passive Macromodeling".
Proceedings of the IEEE/ACM Design Automation Conference (DAC), 2011.