Publications

* equal contribution, † corresponding author

2026

  1. CIKM
    SKG-KT: Semantic Knowledge Graph Construction and Reasoning for Knowledge Tracing by Large Language Models
    Linqing Li, Xuri Ge, Ying Zhou, Xindi Wang, Abhinava Barthakur, Vitomir Kovanovic, and Srecko Joksimovic
    ACM International Conference on Information and Knowledge Management (CCF-B, CORE Rank A), 2026
  2. IP&M
    InstructRoute: State-Guided Graph Execution for Complex Retrieval Instructions
    Fangan Dong, Weiran Shi, Ying Zhou†, Mingyu Liu, Zhiwei Xu, Xuri Ge, Pengjie Ren, and Zhumin Chen
    Information Processing & Management Conference (CCF-B), 2026
  3. EMNLP
    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†
    Conference on Empirical Methods in Natural Language Processing (CCF-B, CORE Rank A*), 2026
  4. EMNLP
    Tracing Query Expansion Effects through Sparse Autoencoder Features
    Fangan Dong, Weiran Shi, Zhiwei Xu, Xuri Ge, Ben He, Xin Xin, Zhumin Chen, and Ying Zhou†
    Findings of the Association for Computational Linguistics, 2026
  5. 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
  6. 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
  7. 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

2025

  1. arXiv
    DiffuGR: Generative Document Retrieval with Diffusion Language Models
    Xinpeng Zhao, Zhaochun Ren, Yukun Zhao, Zhenyang Li, Mengqi Zhang, Jun Feng, Ran Chen, Ying Zhou, Zhumin Chen, Shuaiqiang Wang, Dawei Yin, and Xin Xin
    arXiv, 2025
  2. 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

2024

  1. 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
  2. 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
  3. arXiv
    AIPO: Improving Training Objective for Iterative Preference Optimization
    Yaojie Shen, Xinyao Wang, Yulei Niu, Ying Zhou, Lexin Tang, Libo Zhang, Fan Chen, and Longyin Wen
    arXiv, 2024

2023

  1. 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

2022

  1. 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