publications

publications are listed in reversed chronological order.

2025

  1. AAAI 2025
    On the Power of Convolution Augmented Transformer
    Mingchen LiXuechen ZhangYixiao Huang, and Samet Oymak
    AAAI Conference on Artificial Intelligence (AAAI), 2025

2024

  1. ICML 2024
    From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers
    M. Emrullah IldizYixiao Huang, Yingcong Li, Ankit Singh Rawat, and Samet Oymak
    International Conference on Machine Learning (ICML), 2024
  2. AISTATS 2024
    Mechanics of Next Token Prediction with Self-Attention
    Yingcong Li*, Yixiao Huang*M. Emrullah IldizAnkit Singh Rawat, and Samet Oymak
    International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
  3. ICML 2024
    Towards Efficient Training and Evaluation of Robust Models against ł_0 Bounded Adversarial Perturbations
    Xuyang Zhong, Yixiao Huang, and Chen Liu
    International Conference on Machine Learning (ICML), 2024

2022

  1. Dynamic Statistical Learning with Engineered Features Outperforms Deep Neural Networks for Smart Building Cooling Load Predictions
    Yiren Liu, S. Joe Qin, Xiangyu Zhao, Yixiao HUANG, Shenglong Yao, and 1 more author
    I Can’t Believe It’s Not Better Workshop: Understanding Deep Learning Through Empirical Falsification, 2022
  2. Stratification and Survival Prediction for Amyotrophic Lateral Sclerosis Patients
    Yixiao Huang, Xiaoli Wu, Rosa H. M. Chan, and Pooled Resource Open-Access ALS Clinical Trials Consortium
    2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2022