Zifei Xu

Researcher, d-Matrix Corporation

Joined

October 2023

Names

Zifei Xu (Preferred)

Emails

****@d-matrix.ai (Confirmed)

,

****@stanford.edu (Confirmed)

,

****@gmail.com (Confirmed)

Personal Links

Semantic Scholar

Career & Education History

Researcher

d-Matrix Corporation (d-matrix.ai)

2023 – Present

MS student

ICME, Stanford University (stanford.edu)

2021 – 2023

Undergrad student

National University of Singapore (nus.edu)

2016 – 2020

Advisors, Relations & Conflicts

No relations added

Expertise

quantization

,

efficient machine learning

Present

Large language models

Present

Publications

The Impact of Quantization on Large Reasoning Model Reinforcement Learning
Medha Kumar, Zifei Xu, Xin Wang, Tristan J Webb
- NeurIPS 2025 ER Workshop
- Readers: Everyone
Early Attentive Sparsification Accelerates Neural Speech Transcription
Zifei Xu, Sayeh Sharify, Hesham Mostafa, Tristan J Webb, Wanzin Yazar, Xin Wang
- ES-FoMo III
- Readers: Everyone
Understanding the Difficulty of Low-Precision Post-Training Quantization for LLMs
Zifei Xu, Sayeh Sharify, Wanzin Yazar, Tristan J Webb, Xin Wang
- SLLM
- Readers: Everyone
Interpretable Predictive Models to Understand Risk Factors for Maternal and Fetal Outcomes
Tomas M. Bosschieter, Zifei Xu, Hui Lan, Benjamin J. Lengerich, Harsha Nori, Ian S. Painter, Vivienne Souter, Rich Caruana
- J. Heal. Informatics Res. 2024
- Readers: Everyone
Understanding the difficulty of low-precision post-training quantization of large language models
Zifei Xu, Sayeh Sharify, Wanzin Yazar, Tristan Webb, Xin Wang
- CoRR 2024
- Readers: Everyone
Self-Selected Attention Span for Accelerating Large Language Model Inference
Tian Jin, Wanzin Yazar, Zifei Xu, Sayeh Sharify, Xin Wang
- CoRR 2024
- Readers: Everyone
Scaling laws for post-training quantized large language models
Zifei Xu, Alexander Lan, Wanzin Yazar, Tristan Webb, Sayeh Sharify, Xin Wang
- CoRR 2024
- Readers: Everyone
Combining multiple post-training techniques to achieve most efficient quantized LLMs
Sayeh Sharify, Zifei Xu, Wanzin Yazar, Xin Wang
- CoRR 2024
- Readers: Everyone
Using Interpretable Machine Learning to Predict Maternal and Fetal Outcomes
Tomas Bosschieter, Zifei Xu, Hui Lan, Ben Lengerich, Harsha Nori, Kristin Sitcov, Vivienne Souter, Rich Caruana
- 30 Aug 2022 (modified: 24 Jan 2024)
- OpenReview Archive Direct Upload
- Readers: Everyone

View all 11 publications

Co-Authors