Zhongzhu Zhou / Charlie Zhou
🏢 Office: Room 408, J12/1 Cleveland St, Darlington NSW 2008
📮 Email: zhongzhu.zhou [at] sydney.edu.au, zhouzhzh8 [at] mail2.sysu.edu.cn
"Let everything happen to you. Beauty and terror. Just keep going. No feeling is final." - Rainer Maria Rilke
Who am I?
I am a Ph.D. student at the School of Computer Science, Faculty of Engineering, The University of Sydney, supervised by Prof. Shuaiwen Song.
Prior to my current position, I was a research assistant at the School of Computer Science and Engineering, Sun Yat-sen University from 2019 to 2022, under the supervision of Prof. Dan Huang, Yunfei Du, and Yutong Lu. I received my B.E. degree from the School of Computer Science and Engineering, Sun Yat-sen University in 2019.
My research focuses on multiple aspects of the deep learning algorithm and system stack, including the design of general neural network improvement algorithms, GPU kernel development, and efficient compiler and runtime framework optimization. Specifically, I aim to enhance and bridge the gap between emerging machine learning algorithms & applications and heterogeneous hardware (CPU/GPU) kernel, compiler, and runtime framework in terms of productivity and performance.
Feel free to drop me an email if you have aligned interests.
Currently, I am working on
Diffusion Model Algorithm and Architecture Exploration
Neural Collapse in Reinforcement Learning Exploration
Sparse Kernel Design in GPU TensorCore
I/O Framework Support for AI4Science Application in DeepSpeed Framework.
DeepSpeed Chat: Easy, Fast, and Affordable RLHF Training of ChatGPT-like Models at All Scales
I/O Framework Support for Deep Learning Application
HybridShare: Universal Resource Scheduling for Hybrid Jobs
MAEM - Multiple Applications co-Execution time Estimation
EmReal: A Digital Twin Framework of Emulated and Real Components for Robots with Reinforcement Learning
Education & Honor and Awards
The University of Sydney (USYD) Sydney, Australia
Doctor of Philosophy (Ph.D.) Oct. 2022 - Present
Accumulated GPA: 4.0/4.0
Honor and Awards:
The Jingdong Technology (JD) Co Ltd Research Scholarship in Artificial intelligence, USYD, 2022
Sun Yat-sen University (SYSU) Guangzhou, China
Reserach Assistant Sep. 2019 - Present
Accumulated GPA: 3.41/4.0
Honor and Awards:
SYSU Overseas Visiting and Collaborative Research Program Funding Plan, SYSU, 2021
The Third Class Scholarship, SYSU X 3, 2020, 2021, 2022
The Second Class Scholarship (Top 15% of the major), SYSU, 2019
University of Illinois Urbana-Champaign (UIUC) Remotely & Champaign, IL, US
Summer Seission Student Jun. 2018 - Sep. 2018
Honor and Awards:
Illinois Computer Science Summer Research Program, UIUC, 2018
Sun Yat-sen University (SYSU) Guangzhou, China
Bachelor of Engineering in Computer Science and Technology Sep. 2015 - Jun. 2019
Accumulated GPA: 3.9/4.0
Honor and Awards:
National Scholarship (Top 1 of the major), China, 2016
Research Honor Degree, SYSU, 2019
The First Class Scholarship (Top 5% of the major) X 2, SYSU, 2015-2016, 2017-2018
The Second Class Scholarship (Top 15% of the major), SYSU, 2016-2017
Meritorious Winner, COMAP’s Mathematical Contest in Modeling, United States, 2017
The Second Prize, The Chinese Mathematics Competitions, 2016
The Third Prize, The Chinese Mathematics Competitions, 2017
The Third Prize, ACM-ICPC, SYSU, 2017
The Second Prize, Student Innovation Software Development Competition, SYSU, 2017
The Third Prize, Microsoft Hackthon, South China, 2018
Professional Service
Institute of Electrical and Electronics Engineers (IEEE) Member ID: 97841404
Association for Computing Machinery (ACM) Member ID: 6708618
China Computer Federation (CCF) Member ID: B8293G
Reviewer for Conferences
NeurIPS 2023(Thirty-seventh Conference on Neural Information Processing Systems)
Publications
Book
C Language Programming in Chinese
Xuemao Zhou, Wei Yi, Zhongzhu Zhou
Tianjin University Press
ISBN: 9787561847251
Conference Paper
JSidentify: A Hybrid Framework for Detecting Plagiarism Among JavaScript Code in Online Mini Games
Qun Xia, Zhongzhu Zhou, Zhihao Li, Bin Xu, Wei Zou, Zishun Chen, Huafeng Ma, Gangqiang Liang, Haochuan Lu, Shiyu Guo, Ting Xiong, Yuetang Deng, Tao Xie
ICSE (International Conference on Software Engineering) 2020
Track: Software Engineering in Practice
Journal Paper
Binary Neural Network for Automated Visual Surface Defect Detection
Wenzhe Liu, Jiehua Zhang, Zhou Su, Zhongzhu Zhou, Li Liu
Sensors MDPI (Multidisciplinary Digital Publishing Institute)
Track: Special Issue Intelligent Sensing and Monitoring for Industrial Process
Patent
KUBERNETES 用户态应用中基于虚拟文件系统的小文件存储优化系统
Liang Du, Guixin Guo, Kangyou Zhong, Yunfei Du, Yutong Lu, Zhongzhu Zhou
Chinese Patent
申请号: CN202010195318.5, 公开号: CN111475469A/B
Talks
- ICSE (International Conference on Software Engineering) 🎥 Jul, 11, 2020
Conference Participation
ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2023) Online Attendance; March 25 - 29, 2023
International Conference for High Performance Computing, Networking, Storage and Analysis (SC 2022) Online Attendance; November 13 - 18, 2021
China National Computer Congress (CNCC 2021) Online Attendance; December 16 - 18, 2021
International Conference for High Performance Computing, Networking, Storage and Analysis (SC 2021) Online Attendance; November 14 - 19, 2021
ACM International Conference on Supercomputing (ISC 2021) Online Attendance; June 24 - July 02, 2021
International Symposium on Computer Architecture (ISCA 2021) Online Attendance; June 14 - 19, 2021
International Conference on High Performance Big Data and Intelligent Systems (HPBC&IS 2020) Online Attendance; May 23 - 23, 2020
Teaching
- Fall 2023, Tutor, The University of Sydney
Certification
- Course Certificate: Sample-based Learning Methods
- an online non-credit course authorized by University of Alberta, Alberta Machine Intelligence Institute and offered through Coursera; November, 14, 2021
- Course Certificate: Fundamentals of Reinforcement Learning
- an online non-credit course authorized by University of Alberta, Alberta Machine Intelligence Institute and offered through Coursera; Aug, 20, 2021
- IELTS Test Scores: Listening: 6.5; Reading: 7.0; Writing: 6.5; Speaking: 6.5; Overall: 6.5
- October, 08, 2020
Skills
Programming Languages: Pascal (11 yrs), C (11 yrs), C++ (11 yrs), Python (6 yrs), HTML, CSS, JavaScript (6 yrs), Java (6 yrs), SQL (6 yrs), Bash (6 yrs), LaTeX (5 yrs), Matlab (5 yrs), CUDA (5 yrs), R (4 yrs), Go (4 yrs)
Systems and Infrastructure: MPI/OpenMPI (6 yrs), Linux Kernel (5 yrs), Distributed/Parallel File Systems - e.g., Lustre, HDFS (5 yrs), Kubernetes, Kubernetes Scheduler, Kubernetes SR-IOV (5 yrs), Docker (5 yrs), Hadoop (4 yrs), Spark (4 yrs), YARN (4 yrs), Mesos (4 yrs)
Machine Learning and AI: TensorFlow (5 yrs), PyTorch (4 yrs), TorchServe (4 yrs), TensorBoard (4 yrs), Ray (4 yrs), JAX (2 yrs), Triton (2 yrs), DeepSpeed (1 yr), HuggingFace (1 yr), Reinforcement Learning (4 yrs), CNN, RNN, ResNet, Attention Block, UNet, Transformer, ViT (5 yrs), Neural Architecture Search (3 yrs), Diffusion Models (1 yr), GPT-2,3,4 (1 yr), Reinforcement learning from human feedback (1 yr)
Databases and Storage: MySQL (6 yrs), Oracle SQL (6 yrs), MongoDB (6 yrs), PostgreSQL (6 yrs), Redis (4 yrs), Hive SQL (3 yrs)
Front-end Development: PHP (6 yrs), Vue.js (6 yrs), ReactJS (6 yrs), ASP.NET (6 yrs), jQuery (6 yrs), AngularJS (6 yrs), Apache (6 yrs), MeteorJS (6 yrs)
Back-end Development: Spring Boot (6 yrs), Django (6 yrs), Flask (6 yrs), Node.js (6 yrs), Express (6 yrs), REST API Design (6 yrs), CI/CD
Mobile Development: Android Studio (6 yrs, Java, Kotlin), XCode (6 yrs, Swift, Objective-C), React Native (6 yrs, Cross-platform), Flutter (6 yrs, Cross-platform)
Web Crawling & Testing: Urllib (6 yrs), BeautifulSoup (6 yrs), Scrapy (6 yrs), Requests (6 yrs), JSON (6 yrs), Selenium (6 yrs), Pytest (6 yrs), JUnit (6 yrs)
Version Control & Build Systems: Git (8 yrs), Gradle (6 yrs, Android, Java), Maven (6 yrs, Java), npm (6 yrs, JavaScript), pip (6 yrs, Python)
Development Tools & Libraries: Airflow (2 yrs), Kafka (2 yrs), Elasticsearch (2 yrs), OpenCV (5 yrs), Pandas (5 yrs), NumPy (5 yrs), SciPy (5 yrs), NLTK (5 yrs), Matplotlib (5 yrs), Seaborn (5 yrs), Azure Data Factory (2 yrs), AWS (2 yrs), Google Cloud Platform (2 yrs)
Extracurricular
Fitness: Fencing(6 yrs), Jogging (7 yrs), Bodybuilding(6 yrs) (Hongxing Fitness Club Outstanding Students), Table Tennis(11 yrs), Badminton(11 yrs)
Leisure: Web & Mobile Application Development(5 yrs), Saxophone(9 yrs), Magic (1 yrs), Video Games (more than 500+ PS5 game collections)
Volunteer:
Sun Yat-sen University, School of Computer Science and Engineering, Student Union,Vice President, Jul, 2016 - Jul, 2017
Mentored incoming freshmen, helped them acclimate to the university environment, and promoted a sense of belonging through inclusive campus activities and events.
Changjun High School Volunteer, Jul, 2013 - Jul, 2014
Enhanced the nursing home experience by engaging in meaningful conversations with elderly residents, preparing and serving fresh fruit, and maintaining a clean and sanitary environment for their well-being.