Xiaozhe Yao

PhD student, Department of Computer Science, ETHZ - ETH Zurich

Joined

September 2019

Names

Xiaozhe Yao (Preferred)

Emails

****@uzh.ch (Confirmed)

****@inf.ethz.ch (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Homepage

DBLP

Semantic Scholar

Career & Education History

PhD student

Department of Computer Science, ETHZ - ETH Zurich (inf.ethz.ch)

2022 – 2027

Intern

FAIR @ Meta, Facebook (meta.com)

2025 – 2025

MS student

University of Zurich (uzh.ch)

2019 – 2022

Undergrad student

Shenzhen University (szu.edu.cn)

2013 – 2017

Advisors, Relations & Conflicts

PhD Advisor

Ana Klimovic

2023 – Present

PhD Advisor

Ce Zhang

2022 – 2023

Expertise

No areas of expertise listed

Publications

Navigating the Cost-Performance Pareto Frontier of Test-Time LLM Agent Adaptation
Konrad Szafer, Xiaozhe Yao, Maximilian Böther, Gregor Bachmann, Tiago Pimentel, Ana Klimovic
- LLA 2026 Poster
- Readers: Everyone
DeltaMoE: Memory-Efficient Inference for Merged Mixture of Experts with Delta Compression
Boyko Borisov, Xiaozhe Yao, Nezihe Merve Gürel, Ana Klimovic
- SLLM
- Readers: Everyone
Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs
YOUHE JIANG, Fangcheng Fu, Xiaozhe Yao, Guoliang HE, Xupeng Miao, Ana Klimovic, Bin CUI, Binhang Yuan, Eiko Yoneki
- ICML 2025 poster
- Readers: Everyone
ThunderServe: High-performance and Cost-efficient LLM Serving in Cloud Environments
YOUHE JIANG, Fangcheng Fu, Xiaozhe Yao, Taiyi Wang, Bin CUI, Ana Klimovic, Eiko Yoneki
- MLSys 2025
- Readers: Everyone
RedPajama: an Open Dataset for Training Large Language Models
Maurice Weber, Daniel Y Fu, Quentin Gregory Anthony, Yonatan Oren, Shane Adams, Anton Alexandrov, Xiaozhong Lyu, Huu Nguyen, Xiaozhe Yao, Virginia Adams, Ben Athiwaratkun, Rahul Chalamala, Kezhen Chen, Max Ryabinin, Tri Dao, Percy Liang, Christopher Re, Irina Rish, Ce Zhang
- NeurIPS 2024 Track Datasets and Benchmarks Spotlight
- Readers: Everyone
HexGen: Generative Inference of Large Language Model over Heterogeneous Environment
YOUHE JIANG, Ran Yan, Xiaozhe Yao, Yang Zhou, Beidi Chen, Binhang Yuan
- ICML 2024 Poster
- Readers: Everyone
DMLR: Data-centric Machine Learning Research - Past, Present and Future
Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gürel, Tzu-Sheng Kuo, Yang Liu, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William A Gaviria Rojas, Ryan Hileman, Rainier Aliment, Michael W. Mahoney, Meg Risdal, Matthew Lease, Wojciech Samek, Debojyoti Dutta, Curtis G Northcutt et al. (18 additional authors not shown)
- Accepted by DMLR
- Readers: Everyone
Data-centric Machine Learning Research (DMLR): Harnessing Momentum for Science
Manil Maskey, Lilith Bat-Leah, Danilo Brajovic, Paolo Climaco, Alicia Parrish, Chanjun Park, Xiaozhe Yao, Holger Caesar, Bernard Koch, Fatimah Alzamzami, Zhangyang Wang, Jerone Andrews, Praveen Paritosh, Steffen Vogler, Mayee F Chen, Sang T. Truong, Bolei Ma
- ICLR 2024 Workshops
- Readers: Everyone
DataPerf: Benchmarks for Data-Centric AI Development
Mark Mazumder, Colby Banbury, Xiaozhe Yao, Bojan Karlaš, William A Gaviria Rojas, Sudnya Diamos, Greg Diamos, Lynn He, Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Will Cukierski, Juan Ciro, Lora Aroyo, Bilge Acun et al. (27 additional authors not shown)
- NeurIPS 2023 Datasets and Benchmarks Poster
- Readers: Everyone
GPT-Zip: Deep Compression of Finetuned Large Language Models
Berivan Isik, Hermann Kumbong, Wanyi Ning, Xiaozhe Yao, Sanmi Koyejo, Ce Zhang
- ES-FoMO 2023 Poster
- Readers: Everyone

View all 15 publications

Co-Authors

View all 133 co-authors