Publications

selected publications in machine learning, data mining, and artificial intelligence.

2026

  1. KDD
    FLASH: Fast Generative Retrieval via Autoregressive Semantic Hashing with Provably Distance Bounds
    Yifei Zhang, Hao Zhu, Haoran Shi, and 8 more authors
    In Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V. 2, 2026
  2. KDD
    When Gradient Boosting Meets Adapter: Exploring Weak Learners for Parameter-Efficient Fine-tuning of LLMs
    Yifei Zhang, Hao Zhu, Haoran Shi, and 8 more authors
    In Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V. 2, 2026
  3. KDD
    Federated Domain Generalization for Time-Series Classification via Dynamics-to-Domain Generation
    Haoran Shi, Junru Zhang, Xiaoli Tang, and 5 more authors
    In Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V. 2, 2026
  4. KDD
    LC-ERD: Mining latent logic for self-evolving reasoning via consistency-regulated reward decomposition
    Yanyu Chen, Jiyue Jiang, Dianzhi Yu, and 8 more authors
    In Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V. 2, 2026
  5. ICML
    Geometric Collapse: When Vision Models Fail to Verify Physical Causality
    Wentao Zhang, Jinhu Qi, Weiqiang Jin, and 3 more authors
    In International Conference on Machine Learning, 2026
  6. CVPR
    Hierarchically Robust Zero-shot Vision-Language Models
    Junhao Dong, Yifei Zhang, Hao Zhu, and 2 more authors
    In Conference on Computer Vision and Pattern Recognition, 2026
  7. WWW
    TRACE: Trajectory-Aware Comprehensive Evaluation for Deep Research Agents
    Yanyu Chen, Jiyue Jiang, Jiahong Liu, and 3 more authors
    In The Web Conference, 2026

2025

  1. NeurIPS
    CrossSpectra: Exploiting Cross-Layer Smoothness for Parameter-Efficient Fine-Tuning
    Yifei Zhang, Hao Zhu, Junhao Dong, and 4 more authors
    In Conference on Neural Information Processing Systems, 2025
  2. NeurIPS
    Machine unlearning via task simplex arithmetic
    Junhao Dong, Hao Zhu, Yifei Zhang, and 3 more authors
    In Conference on Neural Information Processing Systems, 2025
  3. KDD
    Track and Tweak: Monitoring and Improving Group Fairness for Temporal Graph Neural Networks in Real Time
    Zixing Song, Muzhi Li, Yifei Zhang, and 1 more author
    In SIGKDD Conference on Knowledge Discovery and Data Mining, 2025
  4. KDD
    Understanding and Mitigating Hyperbolic Dimensional Collapse in Graph Contrastive Learning
    Yifei Zhang, Hao Zhu, Mengling Yang, and 4 more authors
    In SIGKDD Conference on Knowledge Discovery and Data Mining, 2025
  5. CVPR
    pFedMixF: Personalized Federated Class-Incremental Learning with Mixture of Frequency Aggregation
    Yifei Zhang, Hao Zhu, Alysa Ziying Tan, and 3 more authors
    In Conference on Computer Vision and Pattern Recognition, 2025

2024

  1. KDD
    Geometric View of Soft Decorrelation in Self-Supervised Learning
    Yifei Zhang, Hao Zhu, Zixing Song, and 4 more authors
    In SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

  1. NeurIPS
    Mitigating the Popularity Bias in Graph Collaborative Filtering: A Dimensional Collapse Perspective
    Yifei Zhang, Hao Zhu, Yankai Chen, and 3 more authors
    In Conference on Neural Information Processing Systems, 2023

2022

  1. KDD
    COSTA: Covariance Preserved Feature Augmentation for Graph Contrastive Learning
    Yifei Zhang, Hao Zhu, Ziqiao Meng, and 2 more authors
    In SIGKDD Conference on Knowledge Discovery and Data Mining, 2022
  2. WWW
    Graph-adaptive Rectified Linear Unit for Graph Neural Networks
    Yifei Zhang, Hao Zhu, Ziqiao Meng, and 2 more authors
    In The Web Conference, 2022