Linxiao Cao

About Me

I’m currently a Ph.D. student at Artificial Intelligence Trust, HKUST (Guangzhou), supervised by Prof. Menglin Yang. I completed my M.S. in the School of Data Science at the University of Science and Technology of China (USTC), where my supervisor was Prof. Wei Gong.

I am always open to potential collaborations. Please feel free to contact me.

Experience

• Remote Research Assistant at University of Georgia, Athens, USA
  Sep 2024 – Jan 2025
• Research Intern at iFLYTEK Healthcare, Hefei, China
  Jun 2019 – Aug 2019
• National College Student Innovation and Entrepreneurship Training Program,
  Building intelligent fire alarm and escape system
  Sep 2019 – Jul 2020

Research Interests

• Geometric Machine Learning
• Non-Euclidean Machine Learning
• Large Language Model

News

• [Nov 2025] Excited to release our paper HyperbolicRAG: Enhancing Retrieval-Augmented Generation with Hyperbolic Representations on arXiv.
• [Aug 2025] Thrilled to share our paper Discrete Tokenization for Multimodal LLMs: A Comprehensive Survey on arXiv.
• [Feb 2025] Our paper FERRY is accepted to CSCWD 2025.
• [Jun 2024] Excited to share our paper SFPrompt on arXiv.
• [Mar 2024] Our two patents are granted!
• [May 2023] Our paper is accepted to Internet of Things Journal 2023!
• [Oct 2022] Our paper (in Chinese) is accepted to Computer Science Journal 2022.

Publications

Patents

• An Inverse Reinforcement Learning-based Approach to ICU Ventilator and Sedative Management, China Patent, Granted, ZL202310151557.4
• A Federated Learning-based Approach to Intelligent Clinical Decision Making in Networked ICUs, China Patent, Granted, ZL202310151555.5
• Building Intelligent Fire Alarm and Escape System, China Software Copyright, Granted, 2020SR0296931

Awards

• USTC Outstanding Graduate 2024
• Anhui Province Outstanding Graduate 2021
• AHU Outstanding Graduate 2021

Services

Conference Reviewers

• AAAI 2026
• ICASSP 2025, ICME 2025
• ICME 2024

Journal Reviewers

• IEEE Network
• IEEE Internet of Things Journal