Short Bio

I am currently a fifth-year Ph.D. candidate at The Hong Kong University of Science and Technology (HKUST) supervised by Professor Lei Chen (ACM & IEEE Fellow). I obtained my Bachelor’s degree (2016-2020) from Peking University (PKU), where I was advised by Professor Bin Cui (IEEE Fellow).

Research Interest

My research focuses on building Machine Learning Systems for modern deep learning workloads, including Large Language Models, Graph Neural Networks, and Recommendation Models. My work spans the full model lifecycle, addressing challenges in both scalable training and efficient serving.

Publications

Efficient GNN Training on Giant Graphs with Collective Batching and Scheduling.
Xin Zhang, Yanyan Shen, Yingxia Shao, Haoyang Li, Lei Chen.
Accepted by PVLDB 2026. (research track)

RelServe: Fast LLM Inference Serving on Relational Data.
Xin Zhang, Shihong Gao, Yanyan Shen, Haoyang Li, Lei Chen.
Preprint 2025. [paper]

Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference Serving.
Shihong Gao, Xin Zhang, Yanyan Shen, Lei Chen.
SIGMOD 2025. [paper] [code] (regular research track)

Efficient Training of Graph Neural Networks on Large Graphs.
Yanyan Shen, Lei Chen, Jingzhi Fang, Xin Zhang, Shihong Gao, Hongbo Yin.
PVLDB 2024. [paper] [code] (tutorial track)

SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement.
Shihong Gao, Yiming Li, Xin Zhang, Yanyan Shen, Yingxia Shao, Lei Chen.
SIGMOD 2024. [paper] [code] (regular research track)

DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with the GPU.
Xin Zhang, Yanyan Shen, Yingxia Shao, Lei Chen.
SIGMOD 2023. [paper] [code] (regular research track)

Feature-Oriented Sampling for Fast and Scalable GNN Training.
Xin Zhang, Yanyan Shen, Lei Chen.
ICDM 2022. [paper] [code] (accept rate=85/870)

HET-GMP: A Graph-based System Approach to Scaling Large Embedding Model Training.
Xupeng Miao, Yining Shi, Hailin Zhang, Xin Zhang, Xiaonan Nie, Zhi Yang, Bin Cui.
SIGMOD 2022. [paper] [code]

Machine Reading Comprehension: a Literature Review.
Xin Zhang, An Yang, Sujian Li, Yizhong Wang.
Preprint 2019. [paper]

Last Update: Jan. 2026