publications

Publications by year.

2026

  1. SAPO: Step-Aligned Policy Optimization for Reasoning-Based Generative Recommendation
    Zaiyi Zheng, Guanghui Min, Yaochen Zhu, Liang Wu, Liangjie Hong, Chen Chen, and Jundong Li
    arXiv preprint arXiv:2605.17648, 2026
  2. Bioinformatics
    CeLLTra: Aligning Cell Names with Gene Expression via a Pathway-Informed Transformer
    Zhao Li*, Zaiyi Zheng*, Rongbin Li, Wenbo Chen, Yuntao Yang, Meer A. Ali, Jundong Li, and W. Jim Zheng
    Bioinformatics, 2026

2025

  1. CoRAG: Enhancing Hybrid Retrieval-Augmented Generation through a Cooperative Retriever Architecture
    Zaiyi Zheng, Song Wang, Zihan Chen, Yaochen Zhu, Yinhan He, Liangjie Hong, Qi Guo, and Jundong Li
    Conference on Empirical Methods in Natural Language Processing, 2025
  2. MI4Rec: Pretrained Language Model based Cold-Start Recommendation with Meta-Item Embeddings
    Zaiyi Zheng, Yaochen Zhu, Haochen Liu, Mingxuan Ju, Tong Zhao, Neil Shah, and Jundong Li
    ACM International Conference on Information and Knowledge Management, 2025
  3. Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion
    Binchi Zhang*, Zaiyi Zheng*, Zhengzhang Chen, and Jundong Li
    International Conference on Machine Learning. Spotlight (Acceptance Rate 2.6%) , 2025
  4. KDD
    Fairness-Aware Graph Learning: A Benchmark
    Yushun Dong, Song Wang, Zhenyu Lei, Zaiyi Zheng, Jing Ma, Chen Chen, and Jundong Li
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2025
  5. NeurIPS
    Hierarchical Demonstration Order Optimization for Many-shot In-Context Learning
    Yinhan He, Wendy Zheng, Song Wang, Zaiyi Zheng, Yushun Dong, Yaochen Zhu, and Jundong Li
    Advances in Neural Information Processing Systems, 2025
  6. NeurIPS
    SemCoT: Accelerating Chain-of-Thought Reasoning through Semantically-Aligned Implicit Tokens
    Yinhan He, Wendy Zheng, Yaochen Zhu, Zaiyi Zheng, Lin Su, Sriram Vasudevan, Qi Guo, Liangjie Hong, and Jundong Li
    Advances in Neural Information Processing Systems, 2025

2024

  1. Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective on Molecule Graphs
    Yinhan He, Zaiyi Zheng, Patrick Soga, Yaochen Zhu, Yushun Dong, and Jundong Li
    Conference on Empirical Methods in Natural Language Processing, 2024
  2. Knowledge Editing for Large Language Models: A Survey
    Song Wang, Yaochen Zhu, Haochen Liu, Zaiyi Zheng, Chen Chen, and Jundong Li
    ACM Computing Surveys, 2024
  3. KG-CF: Knowledge Graph Completion with Context Filtering under the Guidance of Large Language Models
    Zaiyi Zheng, Yushun Dong, Song Wang, Haochen Liu, and Jundong Li
    IEEE International Conference on Big Data, 2024
  4. WWW
    PyGDebias: A Python Library for Debiasing in Graph Learning
    Yushun Dong, Zhenyu Lei, Zaiyi Zheng, Song Wang, Jing Ma, Alex Jing Huang, Chen Chen, and Jundong Li
    Companion Proceedings of the ACM on Web Conference, 2024