About Me

PhD student @ HKU, advised by Prof. Yiming Qiu. MSc CS @ HUST (adv. Prof. Qiang Cao) · BSc CS @ SYSU (adv. Prof. Yuedong Yang).

Research: optimizing ML systems and HPC — CUDA, DGL, sparse matrix acceleration. Explored sparse ops in ad-ranking systems at Tencent.

Outside academia: economics and investment.

I'm also building Chrono, a cross-platform time-tracking app for Web, Android, and macOS that records each day's time flow and tracks goal investment.

Xiangrui Yang

Academic Papers

Education

University of Hong Kong

PhD, Computer Science
2025 – present · adv. Prof. Yiming Qiu

Huazhong University of Science and Technology

MSc, Computer Science
2022 – 2025 · Outstanding Graduate (Top 20%)

Sun Yat-sen University

BSc, Computer Science
2018 – 2022

Talks & Presentations
  • ICME'25, IEEE International Conference on Multimedia & Expo 2025, Nantes, France. Website
  • FAST'25, 23rd USENIX Conference on File and Storage Technologies, Santa Clara, California. Video
  • SoCC'24, 15th ACM Symposium on Cloud Computing, Redmond, Washington.
  • HiPEAC'25, 20th High Performance, Edge And Cloud computing, Barcelona, Spain.
Experience

Kuaishou Technology

Algorithm Engine Platform — Intern
Apr. 2026 – Jun. 2026 · Beijing

  • Worked on the generative recommendation serving system, supporting online retrieval for the production deployments of OneRec and OneRec-V2.

Tencent

Advertising Engineering — Intern
May 2024 – Sep 2024 & Apr 2025 – Jun 2025 · Shenzhen

  • int8 quantization in ad scoring system: >30% GPU kernel speedup, >2% system throughput gain.
  • Added latency-analysis logs to ad recall system; tuned parameters to raise QPS from 10,000 to 15,000.

Shengquan Hengyuan Investment

Quantitative Finance Research — Intern
Jun 2023 – Aug 2023 · Nanjing

  • >30% annual cumulative abnormal return using high- and low-frequency signals.
  • Accelerated time-series and multi-factor model training with GPU servers.

Miracle Plus

Investment & Operations — Intern
May 2023 – Jun 2023 · Beijing

  • Led diligence on a networking-industry startup that closed a Series A in the tens of millions.

SYSU AI4Science

Data Analyst
Jan 2022 – Jun 2022 · Guangzhou

  • Predicted Synthetic Lethality using random-walk + graph convolution with multi-view fusion.
  • Built message-passing models on CATL crystal database to predict physical properties.
Academic Projects

Model Optimization

  • Profiled DGL conv bottlenecks with Nsight; optimized GCN normalization for a 30% speedup over DGL.
  • C++/CUDA extensions for Python; CUDA operator overloading.

Reed-Solomon Code Optimization

  • Compared wide- vs narrow-stripe erasure codes (ISA-L / Jerasure); reached 128 Gbps single-node throughput via OpenMP.

SSD Optimization

  • Built SSDTEST to characterize performance degradation; developed I/O scheduler to control tail latency.
Certificates & Awards

Awards

  • Sangfor Scholarship (Apr. 2024)
  • HUST Scholarship, Second Prize (Oct. 2023)
  • Distinguished Activist in Community Affairs (Oct. 2023)
  • SYSU Scholarship, Second Prize (Oct. 2021)
  • 2019 ACM-ICPC SYSU Competition, Second Prize (Oct. 2019)

Certificates

  • IELTS 7.0 · GRE 320 · TOEFL 106