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Hongcheng Guo

Contact Me
Currently, I am an Assistant Professor at the School of Data Science, Fudan University (2025-Present). I get my Ph.D. degree from Beihang University, advised by Prof. Zhoujun Li and Prof. Dong Xu. I have been selected for several talent programs such as Huawei TopMinds. Moreover, I worked at MSRA (working with Jian Yang, Dongdong Zhang, Furu Wei), Alibaba Qwen (working with Chang Zhou, Junyang Lin), StepFun (working with Duan Nan, Haoyang Huang) and Dophin AI (co-founder). I maintain stable academic cooperation with LLM teams (e.g. Qwen, Seed, DeepMind, Tencent) in industry.

I am actively looking for research interns and Master/PhD candidates to work on LLM/MLLM research topics. Please feel free to contact me: guohc@fudan.edu.cn

News

  • [8/2025] Two papers to appear in CIKM 2025.
  • [8/2025] I am invited to give a talk for Fujian Provincial People Hospital.
  • [7/2025] One paper to appear in NLPCC 2025.
  • [5/2025] Four papers to appear in ACL 2025.
  • [5/2025] Two papers to appear in ICML 2025.
  • [1/2025] One paper to appear in ICLR 2025.
  • [12/2024] Two papers to appear in AAAI 2025.
  • [9/2024] One paper to appear in NeurIPS 2024.
  • [9/2024] One paper to appear in EMNLP 2024.
  • [2/2024] One paper to appear in COLING 2024.
  • [5/2024] Two papers to appear in ACL 2024.
  • [2/2024] One paper to appear in CVPR 2024.
  • [2/2024] One paper to appear in ICLR 2024.
  • [11/2023] One paper to appear in AAAI 2024.
  • [9/2023] One paper to appear in EMNLP 2023.
  • [9/2023] One paper to appear in CIKM 2023.

Publications (Update Soon) [Full List]

(# corresponding author)
  • SNS-Bench: Defining, Building, and Assessing Capabilities of Large Language Models in Social Networking Services
    Hongcheng Guo, Wangyue, Shaosheng Cao, Fei Zhao, Boyang Wang, Lei Li, Liang Chen, Xinze Lyu, Zhe Xu, Yao Hu, Zhoujun Li
    International Conference on Machine Learning (ICML), 2025

  • SIRA: Exposing Vulnerabilities in Text Watermarking with Self-Information Rewrite Attacks
    Yixin Cheng, Hongcheng Guo, Yangming Li, Leonid Sigal
    International Conference on Machine Learning (ICML), 2025

  • OWL: A Large Language Model for IT Operations
    Hongcheng Guo, Jian Yang, Jiaheng Liu, Liqun Yang, Linzheng Chai, Jiaqi Bai, Junran Peng, Xiaorong Hu, Chao Chen, Dongfeng Zhang, Xu Shi, Tieqiao Zheng, Liangfan Zheng, Bo Zhang, Ke Xu, Zhoujun Li
    International Conference on Learning Representations (ICLR), 2024

  • CodeIF: Benchmarking the Instruction-Following Capabilities of Large Language Models for Code Generation
    Kaiwen Yan, Hongcheng Guo#, Xuanqing Shi, Shaosheng Cao, Donglin Di, Zhoujun Li
    Association for Computational Linguistics (ACL), 2024

  • LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection
    Hongcheng Guo, Jian Yang, Jiaheng Liu, Jiaqi Bai, Boyang Wang, Zhoujun Li, Tieqiao Zheng, Bo Zhang, Junran Peng, Qi Tian
    AAAI Conference on Artificial Intelligence (AAAI), 2024

  • UniCoder: Scaling Code Large Language Model via Universal Code
    Tao Sun, Linzheng Chai, Jian Yang, Yuwei Yin, Hongcheng Guo, Jiaheng Liu, Bing Wang, Liqun Yang, Zhoujun Li
    Association for Computational Linguistics (ACL), 2024

  • RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models
    Zekun Wang, Zongyuan Peng, Haoran Que, Jiaheng Liu, Wangchunshu Zhou, Yuhan Wu, Hongcheng Guo, Ruitong Gan, Zehao Ni, Jian Yang, Man Zhang, Zhaoxiang Zhang, Wanli Ouyang, Ke Xu, Wenhao Huang, Wenhu Chen, Jie Fu, Junran Peng
    Findings of Association for Computational Linguistics (ACL), 2024

  • LTA-PCS: Learnable Task-Agnostic Point Cloud Sampling
    Jiaheng Liu, Jianhao Li, Jinyang Guo, Kaisiyuan Wang, Hongcheng Guo, Jian Yang, Junran Peng, Xianglong Liu, Ke Xu
    IEEE Computer Vision and Pattern Recognition (CVPR), 2024

  • m3P: Towards Multimodal Multilingual Translation with Multimodal Prompt
    Jian Yang, Hongcheng Guo, Yuwei Yin, Jiaqi Bai, Bing Wang, Jiaheng Liu, Xinnian Liang, LinZheng Chai, Liqun Yang, Zhoujun Li
    Joint International Conference on Computational Linguistics, Language Resources and Evaluation (COLING), 2024

  • M2C: Towards Automatic Multimodal Manga Complement
    Hongcheng Guo, Boyang Wang, Jiaqi Bai, Jiaheng Liu, Jian Yang, Zhoujun Li
    Findings of Empirical Methods in Natural Language Processing (EMNLP), 2023

  • GripRank: Bridging the Gap between Retrieval and Generation via the Generative Knowledge Improved Passage Ranking
    Jiaqi Bai, Hongcheng Guo, Jiaheng Liu, Jian Yang, Xinnian Liang, Zhao Yan, Zhoujun Li
    ACM International Conference on Information and Knowledge Management (CIKM), 2023

  • LogLG: Weakly Supervised Log Anomaly Detection via Log-Event Graph Construction
    Hongcheng Guo, Yuhui Guo, Jian Yang, Jiaheng Liu, Zhoujun Li, Tieqiao Zheng, Liangfan Zheng, Weichao Hou, Bo Zhang
    International Conference on Database Systems for Advanced Applications (DASFAA), 2023

  • LVP-M3: Language-aware Visual Prompt for Multilingual Multimodal Machine Translation
    Hongcheng Guo, Jiaheng Liu, Haoyang Huang, Jian Yang, Zhoujun Li, Dongdong Zhang, Zheng Cui
    Empirical Methods in Natural Language Processing (EMNLP), 2022

    • To be updated