Publications

(* means equal contribution)

2025

  1. COLING
    DeTriever: Decoder-representation-based Retriever for Improving NL2SQL In-Context Learning
    Raymond Li, Yuxi Feng, Zhenan Fan, Giuseppe Carenini, Weiwei Zhang, Mohammadreza Pourreza, and Yong Zhang
    In , 2025
  2. ICML
    Efficiently serving large multimedia models using EPD Disaggregation
    Gursimran Singh, Xinglu Wang, Ivan Hu, Timothy Yu, Linzi Xing, Wei Jiang, Zhefeng Wang, Xiaolong Bai, Yi Li, Ying Xiong, Yong Zhang, and Zhenan Fan
    International Conference on Machine Learning (ICML), 2025
  3. KDD
    Enhancing Learned Knowledge in LoRA Adapters Through Efficient Contrastive Decoding on Ascend NPUs
    Morgan Lindsay Heisler, Linzi Xing, Ge Shi, Hanieh Sadri, Gursimran Singh, Weiwei Zhang, Tao Ye, Ying Xiong, Yong Zhang, and Zhenan Fan
    ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2025

2024

  1. ICLR
    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
  4. Submitted
    Sql-encoder: Improving nl2sql in-context learning through a context-aware encoder
    Mohammadreza Pourreza, Davood Rafiei, Yuxi Feng, Raymond Li, Zhenan Fan, and Weiwei Zhang
    Submitted, 2024
  5. LREC-COLING
    Towards human-aligned evaluation for linear programming word problems
    Linzi Xing, Xinglu Wang, Yuxi Feng, Zhenan Fan, Jing Xiong, Zhijiang Guo, Xiaojin Fu, Rindra Ramamonjison, Mahdi Mostajabdaveh, Xiongwei Han, Zirui Zhou, and Yong Zhang
    In , 2024
  6. AAAI
    Learn2Aggregate: Supervised Generation of Chv\backslash’atal-Gomory Cuts Using Graph Neural Networks
    Arnaud Deza, Elias B Khalil, Zhenan Fan, Zirui Zhou, and Yong Zhang
    In Annual AAAI Conference on Artificial Intelligence (AAAI), 2024

2023

  1. 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
  2. OJMO
    Cardinality-constrained structured data-fitting problems
    Zhenan Fan*, Huang Fang*, and Michael P Friedlander
    Open Journal of Mathematical Optimization, 2023

2022

  1. TechReport
    A dual approach for federated learning
    Zhenan Fan*, Huang Fang*, and Michael P Friedlander
    Technical Report, 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
    International Conference on Data Engineering (ICDE), 2022
  3. IEEE-TSP
    Polar Deconvolution of Mixed Signals
    Zhenan Fan, Halyun Jeong, Babhru Joshi, and Michael P Friedlander
    IEEE Transactions on Signal Processing, 2022
  4. TechReport
    Knowledge-Injected Federated Learning
    Zhenan Fan, Zirui Zhou, Jian Pei, Michael P Friedlander, Jiajie Hu, Chengliang Li, and Yong Zhang
    Technical Report, 2022

2021

  1. TechReport
    Achieving Model Fairness in Vertical Federated Learning
    Changxin Liu*, Zhenan Fan*, Zirui Zhou, Yang Shi, Jian Pei, Lingyang Chu, and Yong Zhang
    Technical Report, 2021

2020

  1. ICLR
    Fast convergence of stochastic subgradient method under interpolation
    Huang Fang, Zhenan Fan, and Michael Friedlander
    In International Conference on Learning Representations (ICLR), 2020
  2. 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
  3. 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

2019

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