Publications

  1. In Preparation
    Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges
    Haoran Lu, Luyang Fang, Ruidong Zhang, ..., Terry Ma, et al.
    In Preparation, 2025
  2. Under Review
    Joint and Condition Modeling for High-Dimensional Aleatoric and Epistemic Uncertainty Quantification
    Chunlin Ji, Dingwei Gong, Yongxiang Li, Meiying Zhang, Terry Ma, Jun Liu
    Journal of the Machine Learning Research, 2025
  3. arXiv
    Knowledge Distillation and Dataset Distillation of Large Language Models: Emerging Trends, Challenges, and Future Directions
    Luyang Fang, Xiaowei Yu, Jiazhang Cai, ..., Terry Ma, et al.
    Artificial Intelligence Review, 2025
  4. arXiv
    Large Language Models for Bioinformatics
    Wei Ruan, Yanjun Lyu, Jing Zhang, ..., Terry Ma, ..., Tianming Liu
    Quantitative Biology, 2025
  5. Cell Systems
    Systematic analysis identifies a connection between spatial and genomic variations of chromatin states
    Xingyu Cao, Terry Ma, Rui Fan, Guo-Cheng Yuan
    Cell Systems, Volume 15, Pages 1092-1102.e2, 2024
  6. Asilomar
    Streaming Low-Rank Matrix Data Assimilation and Change Detection
    Hao Yuchi, Michael Repasky, Terry Ma, Yao Xie
    IEEE Asilomar Conference on Signals, Systems, and Computers 2023
  7. Bioinformatics
    MetaBMF: a scalable binning algorithm for largescale reference-free metagenomic studies
    Terry Ma, Di Xiao, Xin Xing,
    Bioinformatics, Volume 36, Issue 2, 15 January 2020, Pages 356-363
  8. ISBRA
    MetaMat: Reference-free metagenomic binning by matrix deconvolution
    Terry Ma, Xin Xing,
    The 14th International Symposium on Bioinformatics Research and Applications, 2018.