publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2024

  1. End-to-End Risk-aware Reinforcement Learning to Detect Asymptomatic Cases in Epidemic Outbreaks
    Yongjian Zhong, Weiyu Huang, and Bijaya Adhikari
    IEEE International Conference on Healthcare Informatics (ICHI), 2024
  2. Efficient and Effective Implicit Neural Network for Dynamic Graphs
    Yongjian Zhong, Hieu Vu, Bijaya Adhikari, and Tianbao Yang
    Submitted, 2024

2023

  1. SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data
    Bang An, Xun Zhou, Yongjian Zhong, and Tianbao Yang
    Advances in Neural Information Processing Systems, 2023

2022

  1. Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence
    Zi-Hao Qiu, Quanqi Hu, Yongjian Zhong, Lijun Zhang, and Tianbao Yang
    In International Conference on Machine Learning (ICML), 2022
  2. Multi-block min-max bilevel optimization with applications in multi-task deep auc maximization
    Quanqi Hu, Yongjian Zhong, and Tianbao Yang
    Advances in Neural Information Processing Systems (NeurIPS), 2022

2021

  1. Learning to reweight examples in multi-label classification
    Yongjian Zhong, Bo Du, and Chang Xu
    Neural Networks, 2021

2020

  1. An innovative multi-label learning based algorithm for city data computing
    Mengqing Mei, Yongjian Zhong, Fazhi He, and Chang Xu
    GeoInformatica, 2020

2018

  1. Independent feature and label components for multi-label classification
    Yongjian Zhong, Chang Xu, Bo Du, and Lefei Zhang
    In 2018 IEEE International Conference on Data Mining (ICDM), 2018