Xiaobo Xing

About Me

I am a Ph.D. student in Data Science at The University of Queensland (UQ), supervised by Prof. Hongzhi Yin, focusing on large language models for tabular data. Prior to my Ph.D. studies, I earned my Master of Computer Science (Management) from UQ and my Bachelor of Information Engineering from Jilin University. I also bring a year of industry experience as a software engineer, which has strengthened my engineering capabilities for research.

News

• 26 Jan 2026: The paper "TableDART: Dynamic Adaptive Multi-Modal Routing for Table Understanding" has been accepted to ICLR 2026.

Research Interests

• Table Understanding & Reasoning
• Multi-modal Learning
• Relational Deep Learning
• Large Language Models for Structured Data

Research Works

• Xiaobo Xing, Wei Yuan, Tong Chen, Quoc Viet Hung Nguyen, Xiangliang Zhang, Hongzhi Yin. TableDART: Dynamic Adaptive Multi-Modal Routing for Table Understanding. arXiv 2025. arXiv:2509.14671.

Education

• Ph.D. in Data Science
  The University of Queensland, Australia
  Jan. 2026 – Present | Advisor: Prof. Hongzhi Yin
• Master of Computer Science (Management)
  The University of Queensland, Australia
  Jul. 2023 – Jul. 2025 | Advisor: Prof. Hongzhi Yin | GPA: 6.63/7 (Thesis: 7/7)
• Bachelor of Information Engineering
  Jilin University, China
  Sep. 2018 – Jun. 2022

Teaching Experience

• Data Mining (INFS4203/INFS7203) — Tutor; oral exam assessment and student support (UQ, Jul–Dec 2025).
• Social Media Analytics (INFS7450) — Tutor; weekly tutorials and assessment (UQ, Feb–Jun 2025).

Awards

• Dean’s Commendation for Academic Excellence: 2025 Semester 1; 2024 Semester 2; 2024 Semester 1 (Faculty of EAIT, UQ).
• Best New Employee Award 2022, CRRC Changchun Railway Vehicles Co., Ltd.
• The Star of Events 2022, CRRC Changchun Railway Vehicles Co., Ltd.