Publications

(* means equal contribution)

2024

  1. Accepted
    Fair and efficient contribution valuation for vertical federated learning
    Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P Friedlander, and Yong Zhang
    International Conference on Learning Representations (ICLR), 2024
  2. Submitted
    Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process
    Zhenan Fan, Bissan Ghaddar, Xinglu Wang, Linzi Xing, Yong Zhang, and Zirui Zhou
    Submitted, 2024
  3. Submitted
    Machine Learning Insides OptVerse AI Solver: Design Principles and Applications
    Xijun Li, Fangzhou Zhu, Hui-Ling Zhen, Weilin Luo, Meng Lu, Yimin Huang, Zhenan Fan, Zirui Zhou, Yufei Kuang, Zhihai Wang, Zijie Geng, Yang Li, Haoyang Liu, Zhiwu An, Muming Yang, Jianshu Li, Jie Wang, Junchi Yan, Defeng Sun, Tao Zhong, Yong Zhang, Jia Zeng, Mingxuan Yuan, Jianye Hao, Jun Yao, and Kun Mao
    Submitted, 2024

2023

  1. Accepted
    Cardinality-constrained structured data-fitting problems
    Zhenan Fan*, Huang Fang*, and Michael P Friedlander
    Open Journal of Mathematical Optimization, 2023
  2. ICML
    Smart Initial Basis Selection for Linear Programs
    Zhenan Fan*, Xinglu Wang*, Oleksandr Yakovenko*, Abdullah Ali Sivas, Owen Ren, Yong Zhang, and Zirui Zhou
    In International Conference on Machine Learning (ICML), 2023

2022

  1. IEEE TSP
    Polar Deconvolution of Mixed Signals
    Zhenan Fan, Halyun Jeong, Babhru Joshi, and Michael P Friedlander
    IEEE Transactions on Signal Processing, 2022
  2. ICDE
    Improving Fairness for Data Valuation in Horizontal Federated Learning
    Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P Friedlander, Changxin Liu, and Yong Zhang
    In International Conference on Data Engineering (ICDE), 2022
  3. Submitted
    A dual approach for federated learning
    Zhenan Fan*, Huang Fang*, and Michael P Friedlander
    Submitted, 2022
  4. Submitted
    Knowledge-Injected Federated Learning
    Zhenan Fan, Zirui Zhou, Jian Pei, Michael P Friedlander, Jiajie Hu, Chengliang Li, and Yong Zhang
    Submitted, 2022
  5. Submitted
    Achieving Model Fairness in Vertical Federated Learning
    Changxin Liu*, Zhenan Fan*, Zirui Zhou, Yang Shi, Jian Pei, Lingyang Chu, and Yong Zhang
    Submitted, 2022

2020

  1. AISTATS
    Greed Meets Sparsity: Understanding and Improving Greedy Coordinate Descent for Sparse Optimization
    Huang Fang, Zhenan Fan, Yifan Sun, and Michael Friedlander
    In International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
  2. FnT OPT
    Atomic Decomposition via Polar Alignment: The Geometry of Structured Optimization
    Zhenan Fan, Halyun Jeong, Yifan Sun, and Michael P. Friedlander
    Foundations and Trends in Optimization, 2020
  3. ICLR
    Fast convergence of stochastic subgradient method under interpolation
    Huang Fang, Zhenan Fan, and Michael Friedlander
    In International Conference on Learning Representations (ICLR), 2020

2019

  1. ACSSC
    Bundle methods for dual atomic pursuit
    Zhenan Fan, Yifan Sun, and Michael P Friedlander
    In 53rd Asilomar Conference on Signals, Systems, and Computers (ACSSC), 2019