Publications

(*) denotes equal contribution

2024

  1. IJCNN
    Fair Weak-Supervised Learning: A Multiple-Instance Learning Approach
    Yucong Dai, Xiangyu Jiang, Yaowei Hu, and 2 more authors
    In IEEE International Joint Conference on Neural Networks, 2024
  2. AAAI
    Long-term Fair Decision Making Through Deep Generative Models
    Yaowei Hu, Yongkai Wu, and Lu Zhang
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2024

2023

  1. Dissertation
    Towards Long-term Fairness in Sequential Decision Making
    Yaowei Hu
    In University of Arkansas, 2023
  2. Big Data
    Striking a Balance in Fairness for Dynamic Systems Through Reinforcement Learning
    Yaowei Hu, Jacob Lear, and Lu Zhang
    In IEEE International Conference on Big Data (BigData), 2023

2022

  1. AAAIOral
    Achieving Long-term Fairness in Sequential Decision Making
    Yaowei Hu, and Lu Zhang
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2022

2021

  1. AAAI
    A Generative Adversarial Framework for Bounding Confounded Causal Effects
    Yaowei Hu, Yongkai Wu, Lu Zhang, and 1 more author
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2021

2020

  1. NeurIPS
    Fair Multiple Decision Making Through Soft Interventions
    Yaowei Hu, Yongkai Wu, Lu Zhang, and 1 more author
    Advances in Neural Information Processing Systems, 2020

2018

  1. Journal
    Biological sequence classification algorithm based on density-aware patterns
    Yaowei Hu, Lei Duan, Ling Li, and 1 more author
    Journal of Computer Applications, 2018