Hi! I'm Jiale.

MSCS @ UC San Diego

UCSD MSCS · seeking Summer 2027 ML Engineer internship · GNNs, LLMs, retrieval

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About Me

I'm Jiale Liu, a current Master of Computer Science student at UC San Diego (Sep 2026–Jun 2028). I earned my B.S. in Computer Science from Huazhong Agricultural University. I work at the intersection of graph neural networks (GNNs), large language models (LLMs), and retrieval, and I'm seeking a Summer 2027 ML Engineer internship.

I interned at vivo AI Lab on BlueLM pre-training data, worked with Prof. Suhang Wang at Penn State on GraphRAG privacy, and conducted signed-graph interpretability research with Prof. Zeyu Zhang.

Beyond academics, I enjoy running, table tennis, and traveling. I've visited Japan, Thailand, Vietnam, Xinjiang, Tibet, and many other unforgettable destinations.

8 Research & Projects
Top 0.25% Kaggle Ranking
3 Labs & Internships

Education

Sep 2026 — Jun 2028

M.S. in Computer Science

University of California, San Diego

2022 — 2026

B.S. in Computer Science

Huazhong Agricultural University

Skills

ML Engineering

PyTorch, Hugging Face, vLLM, Python, Docker

Retrieval & RAG

FAISS, RAG, GraphRAG, retrieval / recommendation

Graph ML

GNNs, signed graphs, Graph Transformers, knowledge graphs

Systems & Data

C++ / SQL, large-scale data pipelines

Experience

Industry internship and research appointments.

Dec 2025 — May 2026

LLM Algorithm Engineer Intern

vivo AI Lab · Shenzhen

BlueLM pre-training data: near-deduplication with MinHash LSH Ensemble, an ASR pipeline on vLLM / Qwen, and large-scale data work with tracked quality and throughput metrics.

Mar 2025 — Aug 2025

Remote Research Intern

Penn State · Prof. Suhang Wang's Lab

First empirical study of privacy leakage in GraphRAG (ACL 2026 Findings): up to 73.6% entity leakage and 74.0% relationship leakage per query.

Aug 2024 — May 2025

Undergraduate Researcher

Huazhong Agricultural University · Prof. Zeyu Zhang

Signed-graph interpretability: SE-SGformer (AAAI 2025, +73.1% explainability) and SSEFormer (Neurocomputing, +17.0% AUC on Amazon-Music).

Research

Exploring interpretability, privacy, and trustworthiness in AI systems.

VGRL
Under Review

Verbalized Graph Representation Learning

LLMs translate graph structure into text for end-to-end interpretability.

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Projects

Retrieval systems and applied machine learning.

CBIR System
Project 2025

Content-Based Image Retrieval System

Hybrid feature extraction with FAISS-powered millisecond-level similarity search.

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Knowledge Graph System
Project 2024

Intelligent Knowledge Graph System

Automated extraction from academic documents with interactive graph visualization.

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More projects

Kaggle House Prices
Kaggle 2023

Top 0.25% in House Price Prediction

Ranked 14/5881 with stacked ensemble of XGBoost, Random Forest, and Neural Networks.

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Multi-Omics Clustering
Project 2024

Multi-Omics Data Clustering Analysis

Integrated gene expression, DNA methylation, and miRNA data with survival analysis validation.

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FAQ

Some things people often ask me.

How do you pronounce your name?
Jiale is pronounced as /dʒiːˈɑːlə/ (like "gee-ah-le"). Liu is pronounced as "leo" in English contexts, but the Mandarin pronunciation is closer to "lyoo".
Why did you choose Computer Science?
I was initially in mechanical engineering, but found myself excelling in computer-related subjects. When AI and LLMs started gaining momentum, I became deeply curious about how these technologies work — and switching to CS was the natural first step.
Why are you interested in Graph Neural Networks?
Graph data structures are fundamental in representing relationships and connections in real-world problems. I find it fascinating to explore their applications in areas like recommendation systems and knowledge graphs.
Are you open to research collaboration?
Yes! Feel free to reach out if you're interested in collaborating on topics related to GNNs, LLMs, or Trustworthy AI.
What's your next goal?
I'm looking for a Summer 2027 ML Engineer internship, while continuing work on GNNs, LLMs, and trustworthy AI.

Get in Touch

Interested in collaboration or just want to chat? Feel free to reach out.

School Email jil643@ucsd.edu
Personal Email jialeliu0606@gmail.com
GitHub github.com/liule66
LinkedIn linkedin.com/in/jiale-liu
Google Scholar scholar.google.com