Portrait of Wenxuan Xia

Wenxuan Xia

PhD student in Data Science and Analytics

I am a PhD student at The Hong Kong University of Science and Technology (Guangzhou). My research focuses on efficient vector search and data systems, particularly approximate nearest-neighbor search, filtered search, and graph-based vector indexes.

Outside research, I enjoy building personal agent systems and small tools for learning, research, and everyday workflows.

Education

The Hong Kong University of Science and Technology (Guangzhou)

PhD in Data Science and Analytics, September 2024 to present

Advisor: Wei Wang

Shenzhen University

BEng in Software Engineering, September 2019 to July 2023

Undergraduate thesis advisor: Jianbin Qin

GPA: 4.21/4.5; ranked first in the major.

Publications

† equal contribution (co-first authors) · * corresponding author

E2E: Efficient Filtered AKNN Search via Adaptive Termination

Wenxuan Xia†, Mingyu Yang†*, Wentao Li, Wei Wang*.

ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2026. DOI Paper Code

Elastic Index Selection for Label-Hybrid AKNN Search

Mingyu Yang, Wenxuan Xia, Wentao Li, Raymond Chi-Wing Wong, Wei Wang*.

Proceedings of the VLDB Endowment, 19(4): 617–630, VLDB 2026. DOI Paper Code

HRNN: A Hybrid Graph Index for Approximate Reverse k-Nearest Neighbor Search on High-Dimensional Vectors

Wenxuan Xia, Mingyu Yang, Wentao Li, Wei Wang.

arXiv preprint, 2026. Paper Code

Selected projects

Pinejay

Pinejay is a self-hosted agent built on NanoClaw. It runs continuously on a server, its agents run in containers, and each can use Claude or Codex. I use it mostly through a Telegram forum group where each topic has one purpose: keeping a journal, taking a course, or reading a daily digest. It is also where I explore software development in the agentic era: Claude Code, Codex, and agent teams design, build, review, and deploy it.

See Pinejay in an interactive demo. All data is made up.

Paper posters

I am fascinated by typography. I am not a professional designer, but I am honored to have had the chance to design the posters for our papers.

Poster for the KDD 2026 paper E2E, a dense landscape layout with problem definition, motivation, the early-probe-to-adaptive-termination method, and experimental results.
Poster for E2E at KDD 2026 — 100 × 85 cm, set in Avenir Next with Avenir Next Condensed display. Click the image for the full-resolution PDF.
Poster for the VLDB 2026 paper Elastic Index Selection, an A1 landscape layout in a plum palette with numbered sections from problem to takeaway.
Poster for Elastic Index Selection at VLDB 2026 — A1 landscape, set in Myriad Pro display over a DIN Pro body. Click the image for the full-resolution PDF.

Teaching

Teaching assistant at HKUST(GZ):

Honors & awards