Xingyu Tan

Ph.D. Candidate

UNSW, Sydney | Data61, CSIRO

xingyu.tan (at) unsw.edu.au

About Me

Hi there! 👋 I am Xingyu Tan (谭星雨), currently a Ph.D. candidate in the Data and Knowledge Research Group (DKR) at the School of Computer Science and Engineering, University of New South Wales (UNSW), and the Software Systems Group at Data61, CSIRO. I am fortunate to be jointly supervised by Dr. Xiaoyang Wang and Prof. Wenjie Zhang from UNSW, along with Dr. Qing Liu, Prof. Xiwei Xu, Dr. Xin Yuan, and Prof. Liming Zhu from CSIRO.

Previously, I completed both my Bachelor of Science (BSc.) in Computer Science and my Master of Philosophy (MPhil.) in Computer Science and Engineering at UNSW, under the supervision of Dr. Xiaoyang Wang and Prof. Wenjie Zhang.

Currently MLE & Research Intern at TikTok (Australia), working on MLLMs and related research.

Research Interests

Graph Mining: subgraph detection, fairness-aware mining, graph analytics
Knowledge Graph Reasoning: multi-hop reasoning, retrieval-augmented generation
Large Language Models: knowledge-enhanced reasoning, interpretability

News

📌 Current - 2026

Internship
[Jan. 2026] Starting the MLE & Research Intern at TikTok Australia (Sydney).
Accepted
[Jan. 2026] Our paper MemoTime: Memory-Augmented Temporal Knowledge Graph Enhanced Large Language Model Reasoning is accepted to WWW 2026 🎉
Accepted
[Jan. 2026] Our paper PRoH: Dynamic Planning and Reasoning over Knowledge Hypergraphs for Retrieval-Augmented Generation is accepted to WWW 2026 🎉
Preprint
[Jan. 2026] Our new paper is now public: PrivGemo: Privacy-Preserving Dual-Tower Graph Retrieval for Empowering LLM Reasoning with Memory Augmentation 📢

📰 More News - 2025

Award
[Nov. 2025] Awarded UNSW Industry Engagement Grant 🔬
Preprint
[Oct. 2025] Our new paper is now public: MemoTime: Memory-Augmented Temporal Knowledge Graph Enhanced Large Language Model Reasoning 📢
Preprint
[Oct. 2025] Our new paper is now public: PRoH: Dynamic Planning and Reasoning over Knowledge Hypergraphs for Retrieval-Augmented Generation 📢
Accepted
[Aug. 2025] Our paper HydraRAG: Structured Cross-Source Enhanced Large Language Model Reasoning is accepted to EMNLP 2025 🎉
Preprint
[Aug. 2025] Our new paper is now public: Graph is a Natural Regularization: Revisiting Vector Quantization for Graph Representation Learning 📢
Preprint
[Jun. 2025] Our new paper is now public: HydraRAG: Structured Cross-Source Enhanced Large Language Model Reasoning 📢
Award
[Apr. 2025] Awarded the WWW2025 Student Travel Award ✈️
Accepted
[Jan. 2025] Our paper Paths-over-Graph: Knowledge Graph Empowered Large Language Model Reasoning is accepted to WWW 2025 🎉

📰 More News - 2024

Progress
[May. 2024] I have obtained my MPhil degree and started my PhD journey! 🥳
Progress
[Apr. 2024] I have passed my MPhil Thesis Defence 🎉
Award
[Jan. 2024] Awarded the CSIRO’s Data61-UNSW Joint PhD Full Scholarship 📚

📰 More News - 2023

Accepted
[Nov. 2023] Our paper Higher-order peak decomposition is accepted to CIKM 2023 🎉
Award
[Nov. 2023] Awarded the CIRES-ADC Travel Grant 🌏
Accepted
[Jun. 2023] Our paper Maximum Fairness-Aware (k,r)-Core Identification in Large Graphs is accepted to ADC 2023 🎉

Selected Publications

PrivGemo: Privacy-Preserving Dual-Tower Graph Retrieval for Empowering LLM Reasoning with Memory Augmentation

Xingyu Tan, Xiaoyang Wang, Qing Liu, Xiwei Xu, Xin Yuan, Liming Zhu, Wenjie Zhang

ArXiv 2026

PDF | Website

MemoTime: Memory-Augmented Temporal Knowledge Graph Enhanced Large Language Model Reasoning

Xingyu Tan, Xiaoyang Wang, Qing Liu, Xiwei Xu, Xin Yuan, Liming Zhu, Wenjie Zhang

WWW 2026 CORE A*

PDF | Code | Website

PRoH: Dynamic Planning and Reasoning over Knowledge Hypergraphs for Retrieval-Augmented Generation

Xiangjun Zai, Xingyu Tan*, Xiaoyang Wang, Qing Liu, Xiwei Xu, Wenjie Zhang

WWW 2026 CORE A*

PDF | Code | Website

HydraRAG: Structured Cross-Source Enhanced Large Language Model Reasoning

Xingyu Tan, Xiaoyang Wang, Qing Liu, Xiwei Xu, Xin Yuan, Liming Zhu, Wenjie Zhang

EMNLP 2025 CORE A*

PDF | Code | Website | Poster

Paths-over-Graph: Knowledge Graph Empowered Large Language Model Reasoning

Xingyu Tan, Xiaoyang Wang, Qing Liu, Xiwei Xu, Xin Yuan, Wenjie Zhang

WWW 2025 CORE A* Travel Grant

PDF | Code | Website | Poster

Higher-Order Peak Decomposition

Xingyu Tan, Jingya Qian, Chen Chen, Sima Qing, Yanping Wu, Xiaoyang Wang, Wenjie Zhang

CIKM 2023 CORE A

PDF | Code | Poster

Professional Experience

MLE & Research Intern

Jan. 2026 - Present

TikTok, Sydney Industry

Working on Multimodal Large Language Models (MLLMs) and applied research.

COMP9315 DB Implementation

2025 - 2026

UNSW Teaching Academic Handbook

Course Admin: 2026T1, 2025T1

ZZSC9001 Data Science

2023

UNSW Teaching Academic Handbook

Teaching Academic: 2023T3

COMP9311 Database Systems

2023 - 2026

UNSW Teaching Academic Handbook

Admin: 26T1, 25T1, 24T1 | Teaching Academic: 23T3, 23T1

Awarded Annual Best Teaching Course (2024, 2025)

COMP9313 Big Data Mgmt

2024

UNSW Teaching Academic Handbook

Teaching Academic: 2024T2

CSIT115 Data & Security

2023

UoW Teaching Academic Handbook

Teaching Academic: 2023S2

Honors & Awards

UNSW Industry Engagement Grant (2025)

WWW2025 Student Travel Award (2025)

CSIRO's Data61-UNSW Joint PhD Full Scholarship (2024-2028)

CIRES-ADC Travel Grant (2023)

UNSW Global University Award (2022)

UNSW International Academic Excellence Award (2019)

Education

Ph.D. Candidate in Computer Science and Engineering

UNSW & CSIRO's Data61, Sydney

May. 2024 – Present

M.Phil. in Computer Science and Engineering

UNSW, Sydney

Sep. 2022 – Dec. 2023

B.Sc. in Computer Science with Distinction

UNSW, Sydney

Sep. 2019 – May. 2022