Short Bio
Welcome to my homepage! I am currently a research assistant in the AI Thrust of the Information Hub at The Hong Kong University of Science and Technology (Guangzhou), supervised by Prof. Tianxiang Zhao. Previously, I worked as a research assistant at CAIR-HKISI, supervised by Prof. Mingyang Zhao. During my spare time, I helped build a code dataset for MNBVC and helped build the financial RAG system for Likelihood Lab.
My current research focuses on the efficiency and reliability issues of LLM / LLM agent systems. Previously I haved worked on MLLM benchmarking and fine-tuning tailored for domain specific needs.
News
- 09/2026 One paper accepted by BIBM 2026. Congrat to Zihan Chen!
- 07/2026 One paper accepted by SIGIR 2026. Congrat to Zhongtao Rao!
- 04/2026 Joined HKUST(GZ), supervised by Tianxiang Zhao.
- 11/2024 Graduated from NUS with a Master's degree in Artificial Intelligence Systems.
- 08/2024 Contributed Bitbucket dataset to MNBVC through bitbucket_crawl_mnbvc.
- 02/2024 Joined CAIR as intern under the supervision of Mingyang Zhao.
- 08/2023 Joined Likelihood Lab under the supervision of Mingwen Liu, working on RAG data construction, routing, and retrieval.
- 06/2022 Graduated from Sun Yat-sen University (SYSU), supervised by Xiying Li.
Publications

LatentRemedy: Efficient Remedy For Non-Prefix KV Cache Reuse in Multi-Agent Systems
arXiv preprint · 2026
Efficient remedy for non-prefix KV cache reuse in multi-agent systems.

SAGE: Structured Strategic Reasoning for Efficient LLM Game Playing
arXiv preprint · 2026
Structured strategic reasoning for efficient LLM game playing.

Joint Thyroid and Nodule Segmentation with Unpaired Labels: From Dual-Branch Learning to Semantic Query Unification
BIBM 2026 · Dallas, Texas, USA
A unified semantic decoder for ultrasound gland and nodule segmentation with size-guided representation regularization.

Structural and Disentangled Adaptation of Large Vision Language Models for Multimodal Recommendation
SIGIR '26, Melbourne, VIC, Australia · 2026
We propose a structural and disentangled adaptation framework for large vision-language models in multimodal recommendation.
Projects

EchoCare: A fully open and generalizable foundation model for ultrasound clinical applications
Sept 2025 · Open-source foundation model for ultrasound clinical applications

CURDNet: Contrastive Ultrasound Report Generation with Diversity-Aware Learning
Aug 2025 · Research blog on diverse ultrasound report generation
PatientQA: A Question Answering Benchmark for Patient Diagnosis
Dec 2024 · Research blog on patient-centered medical QA evaluation
Services
- Reviewer, AAAI
- Reviewer, CIKM

SAGE: Structured Strategic Reasoning for Efficient LLM Game Playing