Huichi Zhou

According to our database, Huichi Zhou authored at least 21 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

VeriGUI: Verifiable Long-Chain GUI Dataset.

Shunyu Liu, Minghao Liu, Huichi Zhou, Zhenyu Cui, Yang Zhou, Yuhao Zhou, Wendong Fan, Ge Zhang, Jiajun Shi, Weihao Xuan, Jiaxing Huang, Shuang Luo, Fang Wu, Heli Qi, Qingcheng Zeng, Ziqi Ren, Jialiang Gao, Jindi Lv, Junjie Wang, Aosong Feng, Heng Zhou, Wangchunshu Zhou, Zhenfei Yin, Wenlong Zhang, Guohao Li, Wenhao Yu, Irene Li, Lei Ma, Lei Bai, Qunshu Lin, Mingli Song, Dacheng Tao

CoRR, August, 2025

REAL-IoT: Characterizing GNN Intrusion Detection Robustness under Practical Adversarial Attack.

Zhonghao Zhan, Huichi Zhou, Hamed Haddadi

CoRR, July, 2025

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

Zhonghao Zhan, Huichi Zhou, Hamed Haddadi

CoRR, June, 2025

Dynamic Dual Buffer with Divide-and-Conquer Strategy for Online Continual Learning.

Congren Dai, Huichi Zhou, Jiahao Huang, Zhenxuan Zhang, Fanwen Wang, Guang Yang, Fei Ye

CoRR, May, 2025

EfficientLLM: Efficiency in Large Language Models.

Zhengqing Yuan, Weixiang Sun, Yixin Liu, Huichi Zhou, Rong Zhou, Yiyang Li, Zheyuan Zhang, Wei Song, Yue Huang, Haolong Jia, Keerthiram Murugesan, Yu Wang, Lifang He, Jianfeng Gao, Lichao Sun, Yanfang Ye

CoRR, May, 2025

Moral Reasoning Across Languages: The Critical Role of Low-Resource Languages in LLMs.

Huichi Zhou, Zehao Xu, Munan Zhao, Kaihong Li, Yiqiang Li, Hongtao Wang

CoRR, April, 2025

Evaluate-and-Purify: Fortifying Code Language Models Against Adversarial Attacks Using LLM-as-a-Judge.

Wenhan Mu, Ling Xu, Shuren Pei, Le Mi, Huichi Zhou

CoRR, April, 2025

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

CoRR, April, 2025

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

Zhenxuan Zhang, Kinhei Lee, Weihang Deng, Huichi Zhou, Zihao Jin, Jiahao Huang, Zhifan Gao, Dominic C. Marshall, Yingying Fang, Guang Yang

CoRR, March, 2025

DOTA-ME-CS: Daily Oriented Text Audio-Mandarin English-Code Switching Dataset.

Yupei Li, Zifan Wei, Heng Yu, Huichi Zhou, Björn W. Schuller

CoRR, January, 2025

TrustRAG: Enhancing Robustness and Trustworthiness in RAG.

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

CoRR, January, 2025

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 Anal., 2025

Verifiable Format Control for Large Language Model Generations.

Zhaoyang Wang, Jinqi Jiang, Huichi Zhou, Wenhao Zheng, Xuchao Zhang, Chetan Bansal, Huaxiu Yao

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

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

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

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

DiffuseDef: Improved Robustness to Adversarial Attacks via Iterative Denoising.

Zhenhao Li, Huichi Zhou, Marek Rei, Lucia Specia

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Beyond the Hype: A dispassionate look at vision-language models in medical scenario.

Yang Nan, Huichi Zhou, Xiaodan Xing, Guang Yang

CoRR, 2024

GUI-WORLD: A Dataset for GUI-oriented Multimodal LLM-based Agents.

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

CoRR, 2024

MPAT: Building Robust Deep Neural Networks against Textual Adversarial Attacks.

Fangyuan Zhang, Huichi Zhou, Shuangjiao Li, Hongtao Wang

CoRR, 2024

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

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

Proceedings of the Findings of the Association for Computational Linguistics, 2024