Fengze Liu

Researcher, ByteDance

Joined

September 2018

Names

Fengze Liu (Preferred)

Emails

****@gmail.com (Confirmed)

****@bytedance.com (Confirmed)

Personal Links

Google Scholar

Career & Education History

Researcher

ByteDance (bytedance.com)

2022 – Present

PhD student

Johns Hopkins University (jhu.edu)

2017 – 2022

Undergrad student

Tsinghua University (tsinghua.edu.cn)

2013 – 2017

Advisors, Relations & Conflicts

PhD Advisor

Alan Yuille

2017 – 2022

Expertise

No areas of expertise listed

Publications

Your Agent, Their Asset: A Real-World Safety Analysis of OpenClaw
Zijun Wang, Haoqin Tu, Letian Zhang, Hardy Chen, Juncheng Wu, Xiangyan Liu, Zhenlong Yuan, Tianyu Pang, Michael Qizhe Shieh, Fengze Liu, Zeyu Zheng, Huaxiu Yao, Yuyin Zhou, Cihang Xie
- CompLearn 2026 Poster
- Readers: Everyone
Your Agent, Their Asset: A Real-World Safety Analysis of OpenClaw
Zijun Wang, Haoqin Tu, Letian Zhang, Hardy Chen, Juncheng Wu, Xiangyan Liu, Zhenlong Yuan, Tianyu Pang, Michael Qizhe Shieh, Fengze Liu, Zeyu Zheng, Huaxiu Yao, Yuyin Zhou, Cihang Xie
- ICML 2026 AIWILD
- Readers: Everyone
Your Agent, Their Asset: A Real-World Safety Analysis of OpenClaw
Zijun Wang, Haoqin Tu, Letian Zhang, Hardy Chen, Juncheng Wu, Xiangyan Liu, Zhenlong Yuan, Tianyu Pang, Michael Qizhe Shieh, Fengze Liu, Zeyu Zheng, Huaxiu Yao, Yuyin Zhou, Cihang Xie
- AgentSkills 2026 Oral
- Readers: Everyone
LayerMix Law: Scaling Law for Large Language Models on Quality-Weighted Mixture Data with Repetition
Fengze Liu, Weidong Zhou, BINBINLIU, Ping Guo, Zijun Wang, Bingni Zhang, Yifan Zhang, Yifeng Yu, Xiaohuan Zhou, Taifeng Wang
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
QUADMIX: QUALITY-DIVERSITY BALANCED DATA SELECTION FOR EFFICIENT LLM PRETRAINING
Fengze Liu, Weidong Zhou, BINBINLIU, Yu Zhimiao, Yifan Zhang, Haobin Lin, Yifeng Yu, Bingni Zhang, Xiaohuan Zhou, Taifeng Wang, Yong CAO
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
TiKMiX: Take Data Influence into Dynamic Mixture for Language Model Pre-training
Yifan Wang, BINBINLIU, Fengze Liu, Yuanfan Guo, Jiyao Deng, Xuecheng Wu, Weidong Zhou, Xiaohuan Zhou, Taifeng Wang
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
MuRating: A High Quality Data Selecting Approach to Multilingual Large Language Model Pretraining
Zhixun Chen, Ping Guo, Wenhan Han, Yifan Zhang, BINBINLIU, Haobin Lin, Fengze Liu, Yan Zhao, Bingni Zhang, Taifeng Wang, Yin Zheng, Trevor Cohn, Meng Fang
- NeurIPS 2025 poster
- Readers: Everyone
Exploring Polyglot Harmony: On Multilingual Data Allocation for Large Language Models Pretraining
Ping Guo, Yubing Ren, BINBINLIU, Fengze Liu, Haobin Lin, Yifan Zhang, Bingni Zhang, Taifeng Wang, Yin Zheng
- NeurIPS 2025 poster
- Readers: Everyone
L2B: Learning to Bootstrap Robust Models for Combating Label Noise
Yuyin Zhou, Xianhang Li, Fengze Liu, Qingyue Wei, Xuxi Chen, Lequan Yu, Cihang Xie, Matthew P. Lungren, Lei Xing
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
L2B: Learning to Bootstrap for Combating Label Noise
Yuyin Zhou, Xianhang Li, Fengze Liu, Xuxi Chen, Lequan Yu, Cihang Xie, Matthew P. Lungren, Lei Xing
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone

View all 11 publications

Co-Authors

View all 47 co-authors