Scholar
Zhongzhu Zhou
Google Scholar ID: BoZKZl4AAAAJ
Ph.D. Candidate at the University of Sydney
MLSys
Efficient ML
Hardware/Software Codesign
Follow
Homepage
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Google Scholar
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Citations & Impact
All-time
Citations
348
H-index
7
i10-index
6
Publications
10
Co-authors
8
list available
Contact
Email
zhongzhu.zhou@sydney.edu.au
GitHub
Open ↗
LinkedIn
Open ↗
Publications
7 items
Squeeze Evolve: Unified Multi-Model Orchestration for Verifier-Free Evolution
2026
Cited
0
CARE: Covariance-Aware and Rank-Enhanced Decomposition for Enabling Multi-Head Latent Attention
2026
Cited
0
When RL Meets Adaptive Speculative Training: A Unified Training-Serving System
2026
Cited
0
Kitty: Accurate and Efficient 2-bit KV Cache Quantization with Dynamic Channel-wise Precision Boost
2025
Cited
0
Imitate Optimal Policy: Prevail and Induce Action Collapse in Policy Gradient
2025
Cited
0
Ladder-residual: parallelism-aware architecture for accelerating large model inference with communication overlapping
2025
Cited
0
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models
Neural Information Processing Systems · 2024
Cited
4
Resume (English only)
Academic Achievements
Book: C Language Programming in Chinese, Tianjin University Press, ISBN: 9787561847251
Conference Paper: JSidentify: A Hybrid Framework for Detecting Plagiar
Awards and Honors:
- The Jingdong Technology (JD) Co Ltd Research Scholarship in Artificial Intelligence, USYD, 2022
- SYSU Overseas Visiting and Collaborative Research Program Funding Plan, 2021
- National Scholarship (Top 1 of the major), China, 2016
- Research Honor Degree, SYSU, 2019
- Multiple First, Second, and Third Class Scholarships from SYSU (2015–2022)
- Meritorious Winner, COMAP’s Mathematical Contest in Modeling, USA, 2017
- Second and Third Prizes, Chinese Mathematics Competitions (2016, 2017)
- Third Prize, ACM-ICPC SYSU Site, 2017
- Second Prize, Student Innovation Software Development Competition, SYSU, 2017
- Third Prize, Microsoft Hackathon, South China, 2018
Professional Service:
- IEEE Member (ID: 97841404)
- ACM Member (ID: 6708618)
- CCF Member (ID: B8293G)
- Reviewer for NeurIPS 2023
Co-authors
8 total
Shuaiwen Leon Song
VP of Research, Together.ai; Ex-Microsoft; Tenured Professor
Co-author 2
Haojun Xia
University of Sydney
Co-author 4
Yibo Yang
Research Scientist, KAUST
Ben Athiwaratkun
Together AI
Tri Dao
Princeton University, Together AI
Muru Zhang
University of Southern California
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