Huichi Zhou (周辉池) - AI Researcher

🤖 LLM Agents & Multimodal Understanding 3 papers ▼

Oral

MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark

Dongping Chen*, Ruoxi Chen*, Shilin Zhang*, Yaochen Wang*, Yinuo Liu*, Huichi Zhou*, Qihui Zhang*, Yao Wan, Pan Zhou, Lichao Sun

ICML 2024 Oral

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Conference

GUI-World: A Video Benchmark and Dataset for Multimodal GUI-oriented Understanding

Dongping Chen, Yue Huang, Siyuan Wu, Jingyu Tang, Huichi Zhou, Qihui Zhang, Zhigang He, Yilin Bai, Chujie Gao, Liuyi Chen, Yiqiang Li, Chenlong Wang, Yue Yu, Tianshuo Zhou, Zhen Li, Yi Gui, Yao Wan, Pan Zhou, Jianfeng Gao, Lichao Sun

ICLR 2025

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Preprint

Memento: Fine-tuning LLM Agents without Fine-tuning LLMs

Huichi Zhou, Yihang Chen, Siyuan Guo, Xue Yan, Kin Hei Lee, Zihan Wang, Ka Yiu Lee, Guchun Zhang, Kun Shao, Linyi Yang, Jun Wang

arXiv 2025/8

A novel approach to efficiently adapt LLM agents to new tasks by fine-tuning only the agent's memory and decision-making components while keeping the base LLM frozen. This method significantly reduces computational costs while maintaining high performance across diverse agent tasks.

📄 Paper 💻 Code ⭐ --

🏥 Medical AI & Vision-Language Models 4 papers ▼

Journal

Beyond the Hype: A Dispassionate Look at Vision-Language Models in Medical Scenario

Yang Nan*, Huichi Zhou*, Xiaodan Xing, Guang Yang

IEEE TNNLS (Impact Factor: 10.2)

📄 Paper

Journal

Revisiting Medical Image Retrieval via Knowledge Consolidation

Yang Nan, Huichi Zhou, Xiaodan Xing, Giorgos Papanastasiou, Lei Zhu, Zhifan Gao, Alejandro F. Frangi, Guang Yang

Medical Image Analysis (Impact Factor: 10.7)

📄 Paper

Conference

GEMA-Score: Granular Explainable Multi-Agent Score for Radiology Report Evaluation

Zhongjian Zhang, Kin-Hei Lee, Wanqing Deng, Huichi Zhou, Zhifan Jin, Jingyu Huang, Zhifan Gao, David C Marshall, et al.

AAAI 2026 - The Fortieth AAAI Conference on Artificial Intelligence

📄 Paper

Journal

Reason Like a Radiologist: Chain-of-Thought and Reinforcement Learning for Verifiable Report Generation

Peiyuan Jing, Kinhei Lee, Zhenxuan Zhang, Huichi Zhou, Zhengqing Yuan, Zhifan Gao, Lei Zhu, Giorgos Papanastasiou, Yingying Fang, Guang Yang

Medical Image Analysis (Impact Factor: 10.7)

📄 Paper

🛡️ AI Safety & Adversarial Robustness 6 papers ▼

Workshop

TrustRAG: Enhancing Robustness and Trustworthiness in RAG

Huichi Zhou*, Kin-Hei Lee*, Zhonghao Zhan*, Yue Chen, Zhenhao Li, Zhaoyang Wang, Hamed Haddadi, Emine Yilmaz

AAAI 2026 Workshop on Trust and Control in Agentic AI (TrustAgent)

🌐 Project 📄 Paper 💻 Code ⭐ --

Journal

Reliable and Responsible Foundation Models

Xinyu Yang, Jinghan Han, et al.

TMLR 2025 - Transactions on Machine Learning Research

📄 Paper

Conference

DiffuseDef: Improve Robustness to Adversarial Attacks via Iterative Denoising

Zhenhao Li, Huichi Zhou, Marek Rei, Lucia Specia

ACL 2025

📄 Paper

Conference

Evaluating the Validity of Word-level Adversarial Attacks with Large Language Models

Huichi Zhou*, Zhaoyang Wang*, Hongtao Wang, Dongping Chen, Wenhan Mu, Fangyuan Zhang

ACL 2024 Findings

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Poster

Enhancing GNN Robustness for Network Intrusion Detection via Agent-based Analysis

Zhonghao Zhan, Huichi Zhou, Hamed Haddadi

EuroS&P 2025 Poster

📄 Paper

Conference

Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?

Zhongjian Zhang*, Xiao Wang*, Huichi Zhou, Mengmei Zhang, Cheng Yang, Chuan Shi

KDD 2025 Research Track

📄 Paper 💻 Code ⭐ --