publications

Selected research publications in machine learning, LLM systems, and data influence.

2026

  1. Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment
    Huanyi Xie, Lu Yu, Tianhao Huang, and 5 more authors
    Transactions on Machine Learning Research (TMLR), 2026
  2. High-Throughput and Memory-Efficient Zeroth-Order Fine-tuning LLMs with Distributed Parallel Computing
    Liangyu Wang, Huanyi Xie, and Di Wang
    In Annual Meeting of the Association for Computational Linguistics (ACL), 2026
  3. Predicting LLM Output Length via Entropy-Guided Representations
    Huanyi Xie, Yubin Chen, Liangyu Wang, and 2 more authors
    In International Conference on Learning Representations (ICLR), 2026
  4. Dissecting Representation Misalignment in Contrastive Learning via Influence Function
    Huanyi Xie, Chenyang Ren, Khouloud Saadi, and 5 more authors
    In International Conference on Learning Representations (ICLR), 2026
  5. Evaluating Data Influence in Meta Learning
    Chenyang Ren, Huanyi Xie, Shu Yang, and 4 more authors
    In International Conference on Learning Representations (ICLR), 2026

2025

  1. ZO2: Scalable Zeroth-Order Fine-Tuning for Extremely Large LMs with Limited GPU Memory
    Liangyu Wang, Jie Ren, Hang Xu, and 4 more authors
    In Conference on Language Modeling (COLM), 2025
  2. Semi-supervised Concept Bottleneck Models
    Lijie Hu, Tianhao Huang, Huanyi Xie, and 6 more authors
    In International Conference on Computer Vision (ICCV), 2025