Barry Si-Qi Wu | 伍思琦

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Hi there, I'm Siqi, currently an algorithm engineer at Shopee. I obtained my bachelor's degree in AI from the School of Computer Science and Engineering at UESTC. My current research interests involve Online Advertising, Quantitative Investing, AI-Medicine and ML System～

Connect with me via email at dionysusfhs@gmail.com or via WeChat. All advice and questions are welcome!

Education

UESTC Logo University of Electronic Science and Technology of China
B.Eng. in AI, School of Computer Science and Engineering
2021.09 - 2025.06
Changsha No.1 High School Logo The First High School of Changsha, Hunan
2018.09 - 2021.06
profile photo

Work Experience
Shopee Shopee Information Technology Co., Ltd.
2025.07 - Present
Ads Algorithm Engineer
Mentor: Hub Di and Saul Li
  • Focus on pCR model research.

Research Experiences
UESTC NDSL Research Intern, Network and Distributed Systems Laboratory, UESTC
2024.03 - 2024.08
Mixed Precision LLS Solver on Tensor Cores (Supervisor: Prof. Shaoshuai Zhang, Collaborator: Gaoyuan Zou)
  • Explored mixed-precision algorithms to solve high-precision linear least squares on Tensor Cores; analyzed singular-value distributions to address convergence on ill-conditioned matrices.
  • Implemented double-blocking TSQR with JIT kernels and achieved up to 2.2× speedup over cuSOLVER for FP64 QR decomposition; overall solver up to 26× speedup on favorable matrices.
  • Trained a 2-layer LSTM on 15,000 matrix instances to classify matrix types and select robust solver strategies (99.6% classification accuracy).
Purdue Research Intern, Elmore Family School of ECE, Purdue University (Remote)
2024.06 - 2024.08
Retrieval-Augmented Clinical Predictions (Supervisor: Prof. Haoyu Wang, Collaborator: Xun Song)
  • Installed and indexed MIMIC-III/IV datasets and developed retrieval pipelines using LLMs for RAG-enhanced clinical prediction.
  • Designed a BERT-based classification algorithm and LLM summarization strategies to reduce token overflow and improve performance.

Project Experiences
KRR Project Image Knowledge-Driven Visual Association Search System — KRR Course Project (UESTC)
2023.12 - 2024.01
  • Built cross-modal retrieval using BLIP and CLIP, implemented a web interface and demonstrated robust retrieval performance.
DeBERTa Project Image Score an Essay Using DeBERTa — Statistical Learning Course Project (UESTC)
2023.09 - 2023.11
  • Developed an automated essay scoring pipeline using DeBERTa; applied AdamW, CosineAnnealingWarmRestarts, and K-fold CV; achieved MCRMSE=0.4492 on Kaggle.

Publications

[1] Gaoyuan Z., Siqi Wu, and Shaoshuai Z.. “Improving the Reliability on Scientific Computing Using Tensor Cores: A Case Study on Solving High Precision Linear Least Square Problems.” (Submitted to SC2025)

[2] Hansheng Wang et al. “Improving Tridiagonalization Performance on GPU Architectures.” (Accepted by PPoPP2025)


Honors & Awards
  • 2024 UESTC SCSE Outstanding Student Award
  • 2023 Huawei Intelligence Foundation Scholarship
  • 2022-2024 UESTC Exemplary Student Scholarship
  • 2025 Baidu Business AI Technology Innovation Competition: Top 20

Skills & Interests

Languages & Tools: C, C++, Python, MATLAB; Linux, PyTorch, TensorFlow, Pandas, NumPy, LaTeX, HTML, SQL

Languages: Mandarin (Native), English (IELTS 7.0)

Interests: Bartending, Badminton, Long-distance running, Reading, Music, Movies, Photography


Template adapted from original.
Links: GitHub • Email