Kaiyuan Wang

Researcher, Google

Joined

May 2021

Names

Kaiyuan Wang (Preferred)

Emails

****@google.com (Confirmed)

****@utexas.edu (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Researcher

Google (google.com)

2018 – Present

PhD student

Electrical and Computer Engineering, University of Texas, Austin (utexas.edu)

2013 – 2018

Advisors, Relations & Conflicts

PhD Advisor

Sarfraz Khurshid

2013 – 2018

Expertise

Software Engineering

Present

Machine Learning

Present

Publications

ZipMoE: A Theoretically-Grounded Mixture of Experts Approach forParameter-Efficient Deep Learning
Lin Chen, Kyriakos Axiotis, Gang Fu, Kaiyuan Wang, Mohammadhossein Bateni, Vahab Mirrokni
- AISTATS 2026 Poster
- Readers: Everyone
Shared Embedding Optimization: A Two-Stage Approach for Efficient and Effective Feature Embedding
Lin Chen, Kaiyuan Wang, Matthew Fahrbach, Xing Gao, Kyriakos Axiotis, Gang Fu, Mohammadhossein Bateni, Vahab Mirrokni
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
NanoMoE: Scaling Mixture of Experts to Individual Layers for Parameter-Efficient Deep Learning
Lin Chen, Kaiyuan Wang, Gang Fu, Mohammadhossein Bateni, Vahab Mirrokni
- Submitted to ICLR 2025
- Readers: Everyone
MoËT: Mixture of Expert Trees and its application to verifiable reinforcement learning
Marko Vasic, Andrija Petrovic, Kaiyuan Wang, Mladen Nikolic, Rishabh Singh, Sarfraz Khurshid
- 26 Aug 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Symbolic Discovery of Optimization Algorithms
Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, Quoc V Le
- NeurIPS 2023 poster
- Readers: Everyone
Symbolic Discovery of Optimization Algorithms
Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Yao Liu, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, Quoc V. Le
- Published: 01 Jan 2023, Last Modified: 12 May 2023
- CoRR 2023
- Readers: Everyone
Evolved Optimizer for Vision
Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Yao Liu, Kaiyuan Wang, Cho-Jui Hsieh, Yifeng Lu, Quoc V Le
- Published: 16 May 2022, Last Modified: 05 May 2023
- AutoML 2022 (Late-Breaking Workshop)
- Readers: Everyone
MoËT: Mixture of Expert Trees and its application to verifiable reinforcement learning
Marko Vasic, Andrija Petrovic, Kaiyuan Wang, Mladen Nikolic, Rishabh Singh, Sarfraz Khurshid
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- Neural Networks 2022
- Readers: Everyone
Smart Build Targets Batching Service at Google
Kaiyuan Wang, Daniel Rall, Greg Tener, Vijay Gullapalli, Xin Huang, Ahmed Gad
- Published: 01 Jan 2021, Last Modified: 12 May 2023
- CoRR 2021
- Readers: Everyone
AlloyFL: a fault localization framework for Alloy
Tanvir Ahmed Khan, Allison Sullivan, Kaiyuan Wang
- Published: 01 Jan 2021, Last Modified: 12 May 2023
- ESEC/SIGSOFT FSE 2021
- Readers: Everyone

View all 42 publications

Co-Authors

View all 56 co-authors