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
10 items
OSCAR: Offline Spectral Covariance-Aware Rotation for 2-bit KV Cache Quantization
2026
Cited
0
SAW-INT4: System-Aware 4-Bit KV-Cache Quantization for Real-World LLM Serving
2026
Cited
0
Introspective Diffusion Language Models
2026
Cited
0
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
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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
Donglin Zhuang
The University of Sydney
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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