Weitang Ye

PhD Student at the College of Computing and Data Science, Nanyang Technological University

About

I am a PhD student at the College of Computing and Data Science, Nanyang Technological University, where I am fortunate to be advised by Prof. Siqiang Luo. Before joining NTU, I received my bachelor’s degree from the Turing Class, School of Information, Renmin University of China, under the supervision of Prof. Feng Zhang.

My research spans single-vector search, multi-vector search, and high-performance data systems. I am particularly interested in developing practical, large-scale data systems grounded in elegant theoretical insights.

Please feel free to reach out if you are interested in academic discussions or potential collaborations.

Experience

Current Research Project

ARTEA

Theory-guided hierarchical graph indexing for high-performance approximate nearest neighbor search.

with Prof. Siqiang Luo and Dr. Dingheng Mo

Recent Updates

awesome-multi-vectors-retrieval is now live

Aug 2026

I released awesome-multi-vectors-retrieval, a comprehensive and continuously updated collection of papers covering topics in multi-vector retrieval. Stars and contributions are welcome.

ARTEA enters the VLDB 2027 revision round

Aug 2026

ARTEA, our work on a theoretically guaranteed hierarchical graph index, has advanced to the VLDB 2027 revision round after receiving three minor-revision recommendations.

Selected Publications

HocoPG: A Database System with Homomorphic Compression for Text Processing

Jiawei Guan, Feng Zhang, Yuxin Tang, Weitang Ye, Xiaoyong Du

PVLDB 17(12) · 2024

HocoPG integrates homomorphic compression into PostgreSQL so that text operations can run directly on compressed data. It supports composable text queries and includes an administration tool that helps users compare compression schemes and choose an appropriate configuration for their workloads.

Paper · Code