I’m a Research Scientist in the FAIR group at Meta Superintelligence Labs. My research focuses on making machine learning more efficient through algorithm-system co-design.
I received my Ph.D. in 2025 from the Paul G. Allen School of Computer Science & Engineering at the University of Washington. I was fortunate to be advised by Luis Ceze and to work closely with Baris Kasikci and Arvind Krishnamurthy. During my time at UW, I developed efficient methods for a range of ML workloads, including GNNs, NeRFs, and LLMs. Before UW, I earned my B.S. and M.S. in Electronics Engineering from National Yang Ming Chiao Tung University (formerly NCTU), where I worked on sparse CNN accelerator design under the guidance of Prof. Bo-Cheng Lai.
Outside research, I enjoy tennis, hiking, and (backcountry) skiing. I have completed human-powered ascents and ski descents on four of Washington state’s five volcanoes (all except Glacier Peak). In the summer of 2025, I completed a 1,000-mile bike trip from Seattle to Menlo Park to celebrate my graduation.
My current research focus is on automatically discovering next-generation efficient LLMs with AI agents.
@article{lin2025telerag,title={TeleRAG: Efficient Retrieval-Augmented Generation Inference with Lookahead Retrieval},author={Lin, Chien-Yu and Kamahori, Keisuke and Liu, Yiyu and Shi, Xiaoxiang and Kashyap, Madhav and Gu, Yile and Shao, Rulin and Ye, Zihao and Zhu, Kan and Wang, Stephanie and Krishnamurthy, Arvind and Kadekodi, Rohan and Ceze, Luis and Kasikci, Baris},booktitle={Proceedings of Machine Learning and Systems (MLSys)},venue_url={https://arxiv.org/abs/2502.20969},year={2026},}
Palu: Compressing KV-Cache with Low-Rank Projection
Chi-Chih Chang*, Wei-Cheng Lin*, Chien-Yu Lin*, and 7 more authors
In Proceedings of International Conference on Learning Representations (ICLR), 2025
@inproceedings{chang2024palu,author={Chang, Chi-Chih and Lin, Wei-Cheng and Lin, Chien-Yu and Chen, Chong-Yan and Hu, Yu-Fang and Wang, Pei-Shuo and Huang, Ning-Chi and Ceze, Luis and Abdelfattah, Mohamed S. and Wu, Kai-Chiang},booktitle={Proceedings of International Conference on Learning Representations (ICLR)},title={Palu: Compressing KV-Cache with Low-Rank Projection},year={2025},venue_url={https://arxiv.org/abs/2407.21118},}
Atom: Low-Bit Quantization for Efficient and Accurate LLM Serving
Yilong Zhao, Chien-Yu Lin, Kan Zhu, and 7 more authors
In Proceedings of Machine Learning and Systems (MLSys), 2024
@inproceedings{zhao2024atom,author={Zhao, Yilong and Lin, Chien-Yu and Zhu, Kan and Ye, Zihao and Chen, Lequn and Zheng, Size and Ceze, Luis and Krishnamurthy, Arvind and Chen, Tianqi and Kasikci, Baris},booktitle={Proceedings of Machine Learning and Systems (MLSys)},pages={196--209},title={Atom: Low-Bit Quantization for Efficient and Accurate LLM Serving},url={https://proceedings.mlsys.org/paper_files/paper/2024/file/5edb57c05c81d04beb716ef1d542fe9e-Paper-Conference.pdf},volume={6},year={2024},}
FastSR-NeRF: Improving NeRF Efficiency on Consumer Devices with A Simple Super-Resolution Pipeline
Chien-Yu Lin, Qichen Fu, Thomas Merth, and 2 more authors
In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Jan 2024
@inproceedings{lin2024fastsrnerf,author={Lin, Chien-Yu and Fu, Qichen and Merth, Thomas and Yang, Karren and Ranjan, Anurag},title={FastSR-NeRF: Improving NeRF Efficiency on Consumer Devices with A Simple Super-Resolution Pipeline},booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},month=jan,year={2024},pages={2482-2491},venue_type={Conference},}
SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks
Chien-Yu Lin*, Anish Prabhu*, Thomas Merth, and 4 more authors
In Proceedings the 17th European Conference on Computer Vision (ECCV), Jan 2022
@inproceedings{lin2022spin,author={Lin, Chien-Yu and Prabhu, Anish and Merth, Thomas and Mehta, Sachin and Ranjan, Anurag and Horton, Maxwell and Rastegari, Mohammad},title={SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks},booktitle={Proceedings the 17th European Conference on Computer Vision (ECCV)},year={2022},venue_type={Conference},}
Supporting compressed-sparse activations and weights on SIMD-like accelerator for sparse convolutional neural networks
Chien-Yu Lin, and Bo-Cheng Lai
In Proceedings of the 23rd Asia and South Pacific Design Automation Conference (ASP-DAC), Jan 2018
@inproceedings{lin2018supporting,author={Lin, Chien-Yu and Lai, Bo-Cheng},title={Supporting compressed-sparse activations and weights on SIMD-like accelerator for sparse convolutional neural networks},booktitle={Proceedings of the 23rd Asia and South Pacific Design Automation Conference (ASP-DAC)},year={2018},}
