Zhenan Fan

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Topics

Rotation Invariant

Subgradient Method

Top Venues

Publications

Linzi Xing, Xinglu Wang, Yuxi Feng, Zhenan Fan, Jing Xiong, Zhijiang Guo, Xiaojin Fu, Rindra Ramamonjison, Mahdi Mostajabdaveh, Xiongwei Han, Zirui Zhou, Yong Zhang
Towards Human-aligned Evaluation for Linear Programming Word Problems. LREC/COLING (2024)
Zhenan Fan, Huang Fang, Michael P. Friedlander
Cardinality-constrained structured data-fitting problems. Open J. Math. Optim. 5 (2024)
Yuxi Feng, Raymond Li, Zhenan Fan, Giuseppe Carenini, Mohammadreza Pourreza, Weiwei Zhang, Yong Zhang
DeTriever: Decoder-representation-based Retriever for Improving NL2SQL In-Context Learning. CoRR (2024)
Zhenan Fan, Bissan Ghaddar, Xinglu Wang, Linzi Xing, Yong Zhang, Zirui Zhou
Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process. CoRR (2024)
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
Machine Learning Insides OptVerse AI Solver: Design Principles and Applications. CoRR (2024)
Mohammadreza Pourreza, Davood Rafiei, Yuxi Feng, Raymond Li, Zhenan Fan, Weiwei Zhang
SQL-Encoder: Improving NL2SQL In-Context Learning Through a Context-Aware Encoder. CoRR (2024)
Zhenan Fan, Huang Fang, Xinglu Wang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Yong Zhang
Fair and Efficient Contribution Valuation for Vertical Federated Learning. ICLR (2024)
Zhenan Fan, Xinglu Wang, Oleksandr Yakovenko, Abdullah Ali Sivas, Owen Ren, Yong Zhang, Zirui Zhou
Smart Initial Basis Selection for Linear Programs. ICML (2023)
Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Yong Zhang
Fair and efficient contribution valuation for vertical federated learning. CoRR (2022)
Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Changxin Liu, Yong Zhang
Improving Fairness for Data Valuation in Horizontal Federated Learning. ICDE (2022)
Zhenan Fan, Halyun Jeong, Babhru Joshi, Michael P. Friedlander
Polar Deconvolution of Mixed Signals. IEEE Trans. Signal Process. 70 (2022)
Zhenan Fan, Zirui Zhou, Jian Pei, Michael P. Friedlander, Jiajie Hu, Chengliang Li, Yong Zhang
Knowledge-Injected Federated Learning. CoRR (2022)
Zhenan Fan, Huang Fang, Michael P. Friedlander
A dual approach for federated learning. CoRR (2022)
Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Changxin Liu, Yong Zhang
Improving Fairness for Data Valuation in Federated Learning. CoRR (2021)
Huang Fang, Zhenan Fan, Michael P. Friedlander
Fast convergence of stochastic subgradient method under interpolation. ICLR (2021)
Zhenan Fan, Halyun Jeong, Yifan Sun, Michael P. Friedlander
Atomic Decomposition via Polar Alignment: The Geometry of Structured Optimization. Found. Trends Optim. 3 (4) (2020)
Zhenan Fan, Halyun Jeong, Babhru Joshi, Michael P. Friedlander
Polar Deconvolution of Mixed Signals. CoRR (2020)
Huang Fang, Zhenan Fan, Yifan Sun, Michael P. Friedlander
Greed Meets Sparsity: Understanding and Improving Greedy Coordinate Descent for Sparse Optimization. AISTATS (2020)
Zhenan Fan, Halyun Jeong, Yifan Sun, Michael P. Friedlander
Polar Alignment and Atomic Decomposition. CoRR (2019)
Zhenan Fan, Yifan Sun, Michael P. Friedlander
Bundle methods for dual atomic pursuit. ACSSC (2019)