Bicheng Ying

Researcher, Google

Joined

May 2021

Names

Bicheng Ying (Preferred)

Emails

****@google.com (Confirmed)

****@ucla.edu (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Google Scholar

ORCID

Career & Education History

Researcher

Google (google.com)

2018 – Present

PhD student

ECE, University of California, Los Angeles (ucla.edu)

2014 – 2018

Advisors, Relations & Conflicts

PhD Advisor

Ali H. Sayed

2013 – 2018

Expertise

No areas of expertise listed

Publications

Understanding Learning Dynamics of Zeroth-Order Optimization
Zhe Li, Bicheng Ying, Zidong Liu, Haibo Yang
- Sci4DL 2026
- Readers: Everyone
FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learning
Zhe Li, Seyedsina Nabavirazavi, Bicheng Ying, Sitharama Iyengar, Haibo Yang
- IJCAI 2025
- Readers: Everyone
Converge Faster, Talk Less: Hessian-Informed Federated Zeroth-Order Optimization
Zhe Li, Bicheng Ying, Zidong Liu, Chaosheng Dong, Haibo Yang
- ICLR 2026 Poster
- Readers: Everyone
Breaking Memory and Communication Barriers in Model-Parallel Fine-Tuning of Large Language Models
Zhe Li, Bicheng Ying, Zidong Liu, Haibo Yang
- Submitted to ICLR 2026
- Readers: Everyone
PEPFlow: A Python Library for the Workflow of Performance Estimation of Optimization Algorithms
Jaewook J. Suh, Bicheng Ying, Xin Jiang, Edward Duc Hien Nguyen
- ScaleOPT Poster
- Readers: Everyone
HiSo: Efficient Federated Zeroth-Order Optimization via Hessian-Informed Acceleration and Scalar-Only Communication
Zhe Li, Bicheng Ying, Zidong Liu, Chaosheng Dong, Haibo Yang
- NeurIPS 2025 Workshop
- Readers: Everyone
Exact and Linear Convergence for Federated Learning under Arbitrary Client Participation is Attainable
Bicheng Ying, Zhe Li, Haibo Yang
- NeurIPS 2025 poster
- Readers: Everyone
DeComFL: Federated Learning with Dimension-Free Communication
Zhe Li, Bicheng Ying, Zidong Liu, Chaosheng Dong, Haibo Yang
- FL@FM-NeurIPS'24 Oral
- Readers: Everyone
FAST: Federated Average with Snapshot Unleashes Arbitrary Client Participation
Zhe Li, Seyedsina Nabavirazavi, Bicheng Ying, Sitharama Iyengar, Haibo Yang
- Submitted to ICLR 2025
- Readers: Everyone
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization
Zhe Li, Bicheng Ying, Zidong Liu, Chaosheng Dong, Haibo Yang
- ICLR 2025 Poster
- Readers: Everyone

View all 13 publications