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Huichi Zhou I am a PhD student at University College London, advised by Professor Jun Wang. Previously, I was a graduate student at Imperial College London with YangLab advised by Professor Guang Yang. | 📚 0 citations Email: huichi.zhou.25[at]ucl.ac.uk 🐙 Github 🎓 Google Scholar Research Areas Publications * denotes equal contribution 🤖 Trustworthy AI & Large Language Models 7 papers ▼ 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 📄 Paper 💻 Code ⭐ -- 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 ⭐ -- 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 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 Verifiable Format Control for Large Language Model Generations Zhaoyang Wang*, Jinqi Jiang*, Huichi Zhou*, Wenhao Zheng, Xuchao Zhang, Chetan Bansal, Huaxiu Yao NAACL 2025 Findings 📄 Paper 💻 Code 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 📄 Paper 💻 Code ⭐ -- 🕸️ Graph Neural Networks & Adversarial Robustness 2 papers ▼ 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 ⭐ -- 🏥 Medical AI & Vision-Language Models 2 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 🎨 Multimodal AI & Evaluation 2 papers ▼ 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 📄 Paper 💻 Code ⭐ -- 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 📄 Paper 💻 Code ⭐ --