Zhenan Fan

According to our database, Zhenan Fan authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SQL-Encoder: Improving NL2SQL In-Context Learning Through a Context-Aware Encoder.

Mohammadreza Pourreza, Davood Rafiei, Yuxi Feng, Raymond Li, Zhenan Fan, Weiwei Zhang

CoRR, 2024

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, Kun Mao

CoRR, 2024

Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process.

Zhenan Fan, Bissan Ghaddar, Xinglu Wang, Linzi Xing, Yong Zhang, Zirui Zhou

CoRR, 2024

2023

Smart Initial Basis Selection for Linear Programs.

Zhenan Fan, Xinglu Wang, Oleksandr Yakovenko, Abdullah Ali Sivas, Owen Ren, Yong Zhang, Zirui Zhou

Proceedings of the International Conference on Machine Learning, 2023

2022

Polar Deconvolution of Mixed Signals.

Zhenan Fan, Halyun Jeong, Babhru Joshi, Michael P. Friedlander

IEEE Trans. Signal Process., 2022

Knowledge-Injected Federated Learning.

Zhenan Fan, Zirui Zhou, Jian Pei, Michael P. Friedlander, Jiajie Hu, Chengliang Li, Yong Zhang

CoRR, 2022

A dual approach for federated learning.

Zhenan Fan, Huang Fang, Michael P. Friedlander

CoRR, 2022

Fair and efficient contribution valuation for vertical federated learning.

Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Yong Zhang

CoRR, 2022

Improving Fairness for Data Valuation in Horizontal Federated Learning.

Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Changxin Liu, Yong Zhang

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Improving Fairness for Data Valuation in Federated Learning.

Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Changxin Liu, Yong Zhang

CoRR, 2021

Fast convergence of stochastic subgradient method under interpolation.

Huang Fang, Zhenan Fan, Michael P. Friedlander

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Atomic Decomposition via Polar Alignment: The Geometry of Structured Optimization.

Zhenan Fan, Halyun Jeong, Yifan Sun, Michael P. Friedlander

Found. Trends Optim., 2020

Greed Meets Sparsity: Understanding and Improving Greedy Coordinate Descent for Sparse Optimization.

Huang Fang, Zhenan Fan, Yifan Sun, Michael P. Friedlander

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Polar Alignment and Atomic Decomposition.

Zhenan Fan, Halyun Jeong, Yifan Sun, Michael P. Friedlander

CoRR, 2019

Bundle methods for dual atomic pursuit.

Zhenan Fan, Yifan Sun, Michael P. Friedlander

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019