01
Hong Kong Monetary Authority
Analyst programmer, supervised by Wickson Hui. Left to continue study.
Aug 2025 – Sep 2025
PolyU X AI Lab
Eric Rongjun Ye(叶荣俊)
Efficient machine learning systems.
- Place
- Hong Kong
- Degree
- Data Science & Analytics
- Study
- 2024 — 2027
Focus
Large models should not need large machines.
I design algorithms and systems that make large-scale machine learning faster, more memory-efficient, and cheaper to run — inference, compression, hardware-aware methods, and the statistics underneath them.
- 3.73
- GPA, of 4.30
- 2027
- Early graduation
- 2024/25
- Dean's Honours List
01
Inference
Model inference and acceleration
The forward pass is where a model spends its life. I work on algorithms and systems that cut latency and raise throughput, without pretending the hardware is free.
02
Compression
Model compression and efficient algorithms
Smaller models that still do the work. Memory is the constraint. Compression is how a large model fits the machine you actually have.
03
Hardware
GPU computing and hardware-aware learning
Compute is a physical object. Methods that ignore bandwidth, kernels, and the memory hierarchy are theories about a different machine.
04
Statistics
Statistical machine learning and optimization
Analysis, algebra, inference, and optimization — the part underneath the systems. The maths is not a preface. It is the work.
Work
Selected work
Project
Professional experience
02
GDG on Campus PolyU
Tech lead of GDG on Campus at The Hong Kong Polytechnic University.
Sep 2025 – Aug 2026
Research affiliation
About
I love solving maths and discovering its beauty while doing research on it.
I am a member of Xiao Huang's AI Lab (PolyU X AI Lab) at The Hong Kong Polytechnic University, and I am pursuing early graduation. I study applied mathematics, majoring in Data Science and Analytics.
I was previously in the Department of Applied Mathematics, advised by Prof. Xiaoqi Yang, and later in the Department of Data Science and Artificial Intelligence, advised by Prof. Binyan Jiang. My capstone is supervised by Prof. Korris Chung Fu Lai. My undergraduate research is supervised by Prof. Xiao Huang.
Foundations I keep close: analysis, algebra, statistics — especially inference, statistical machine learning, and high-dimensional analysis — and optimization.
Record
Education, advisors, service.
Education
Aug 2024 – May 2027
Bachelor of Science (Data Science and Analytics)
The Hong Kong Polytechnic University — Hong Kong
GPA 3.73/4.30 · Early graduation
Advisors
Capstone supervisor
Prof. Korris Chung Fu LaiAssociate Professor, Department of Data Science and Artificial Intelligence
Joint appointment with the Department of Computing
Machine learning · Artificial intelligence · Data mining
Academic advisor
Prof. Binyan JiangAssociate Head (Teaching) and Professor, Department of Data Science and Artificial Intelligence
High-dimensional data analysis · Network data analysis
Academic advisor
Prof. Xiaoqi YangProfessor, Department of Applied Mathematics
Mathematical optimization · Variational analysis · Financial optimization
Honors
2024/25
Dean's Honours List
The Hong Kong Polytechnic University
2024
Full Entry Scholarship
The Hong Kong Polytechnic University
2024
Student Support Scholarship
The Hong Kong Polytechnic University
2024
Department of Applied Mathematics Scholar
Department of Applied Mathematics, PolyU
2024
PolyU Scholar
The Hong Kong Polytechnic University
Service
Program Committee Member
WSDM 2027
Reviewer
ADMA 2026