Ying Zhou

Assistant Professor
School of Artificial Intelligence, Shandong University

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Email: yingzhou@sdu.edu.cn

I am currently an Assistant Professor in the School of Artificial Intelligence at the Shandong University (SDU), Jinan, China. I received my PhD in 2025 from the Institute of Software, Chinese Academy of Sciences (ISCAS), where I worked in the Chinese Information Processing Laboratory under the supervision of Prof. Ben He. Prior to that, I obtained my bachelor’s degree in Software Engineering from Shandong University in 2020.

My recent research focuses on the generation and understanding mechanisms of large language models, with particular interests in AI-generated text detection and safety, LLM interpretability, and generative information retrieval.

I am actively looking for master students, research assistants, and visiting students. Please feel free to contact me if you are interested in collaborating (yingzhou@sdu.edu.cn).

研究聚焦于信息检索、大语言模型、可解释性等。现招收硕士研究生和科研助理，欢迎对人工智能和大模型研究有热情的同学加入团队！

News

Dec, 2025 Awarded with Young Scholar Future Program by Shandong University
Jul, 2025 I joined School of Artificial Intelligence, Shandong University

Selected publications

  1. ICML
    DRIVE: Distributional and Retrieval-Augmented Bidding with Value Evaluation
    Miduo Cui, Haochen Wang, Shangqin Mao, Xun Yang, Qianlong Xie, Xingxing Wang, Xuri Ge, Ying Zhou, and Zhiwei Xu
    Forty-third International Conference on Machine Learning (CCF-A, CORE Rank A*), 2026
  2. IJCAI
    From Traits to Roles: Consensus-Guided Composition of Orthogonal Experts for Cooperative MARL
    Yewei Zhou, Bin Zhang, Ying Zhou, Xuri Ge, Dapeng Li, Hangyu Mao, Pengjie Ren, and Zhiwei Xu
    35th International Joint Conference on Artificial Intelligence (CCF-A, CORE Rank A*), 2026
  3. ACL
    Spectral Characterization and Mitigation of Sequential Knowledge Editing Collapse
    Chi Zhang, Mengqi Zhang, Xiaotian Ye, Runxi Cheng, Zisheng Zhou, Ying Zhou, Pengjie Ren, and Zhumin Chen
    the 64nd Annual Meeting of the Association for Computational Linguistics (CCF-A, CORE Rank A*), 2026
  4. arXiv
    Identifying and Transferring Reasoning-Critical Neurons: Improving LLM Inference Reliability via Activation Steering
    Fangan Dong, Zuming Yan, Xuri Ge, Zhiwei Xu, Mengqi Zhang, Xuanang Chen, Ben He, Xin Xin, Zhumin Chen, and Ying Zhou†
    arXiv, 2025
  5. ACL
    DiffLM: Controllable Synthetic Data Generation via Diffusion Language Models
    Ying Zhou*, Xinyao Wang*, Yulei Niu, Yaojie Shen, Lexin Tang, Fan Chen, Ben He, Le Sun, and Longyin Wen
    Findings of the Association for Computational Linguistics (CCF-A, CORE Rank A*), 2025
  6. ACL
    Navigating the Shadows: Unveiling Effective Disturbances for Modern AI Content Detectors
    Ying Zhou, Ben He, and Le Sun
    Annual Meeting of the Association for Computational Linguistics (CCF-A, CORE Rank A*), 2024
  7. COLING
    Humanizing Machine-Generated Content: Evading AI-Text Detection through Adversarial Attack
    Ying Zhou, Ben He, and Le Sun
    Joint International Conference on Computational Linguistics, Language Resources and Evaluation (CCF-B, CORE Rank B), 2024
  8. EMNLP
    Hidding the Ghostwriters: An Adversarial Evaluation of AI-Generated Student Essay Detection
    Xinlin Peng*, Ying Zhou*, Ben He, Le Sun, and Yingfei Sun
    Conference on Empirical Methods in Natural Language Processing (CCF-B, CORE Rank A*), 2023
  9. SIGIR
    Re-Thinking Knowledge Graph Completion Evaluation from an Information Retrieval Perspective
    Ying Zhou, Xuanang Chen, Ben He, Zheng Ye, and Le Sun
    International ACM SIGIR Conference on Research and Development in Information Retrieval (CCF-A, CORE Rank A*), 2022