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2020 – today
- 2024
[j3]Zhenan Fan, Huang Fang, Michael P. Friedlander:
Cardinality-constrained structured data-fitting problems. Open J. Math. Optim. 5: 1-21 (2024)- [c7]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: 16550-16556 - [c6]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 - [i11]Zhenan Fan, Bissan Ghaddar, Xinglu Wang, Linzi Xing, Yong Zhang, Zirui Zhou:
Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process. CoRR abs/2401.03244 (2024) - [i10]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 abs/2401.05960 (2024) - [i9]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 abs/2403.16204 (2024) - [i8]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 abs/2406.07913 (2024) - [i7]Arnaud Deza, Elias B. Khalil, Zhenan Fan, Zirui Zhou, Yong Zhang:
Learn2Aggregate: Supervised Generation of Chvátal-Gomory Cuts Using Graph Neural Networks. CoRR abs/2409.06559 (2024) - 2023
- [c5]Zhenan Fan, Xinglu Wang, Oleksandr Yakovenko, Abdullah Ali Sivas, Owen Ren, Yong Zhang, Zirui Zhou:
Smart Initial Basis Selection for Linear Programs. ICML 2023: 9650-9664 - 2022
- [j2]Zhenan Fan
, Halyun Jeong, Babhru Joshi, Michael P. Friedlander:
Polar Deconvolution of Mixed Signals. IEEE Trans. Signal Process. 70: 2713-2727 (2022) - [c4]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: 2440-2453 - [i6]Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Yong Zhang:
Fair and efficient contribution valuation for vertical federated learning. CoRR abs/2201.02658 (2022) - [i5]Zhenan Fan, Huang Fang, Michael P. Friedlander:
A dual approach for federated learning. CoRR abs/2201.11183 (2022) - [i4]Zhenan Fan, Zirui Zhou, Jian Pei, Michael P. Friedlander, Jiajie Hu, Chengliang Li, Yong Zhang:
Knowledge-Injected Federated Learning. CoRR abs/2208.07530 (2022) - 2021
- [c3]Huang Fang, Zhenan Fan, Michael P. Friedlander:
Fast convergence of stochastic subgradient method under interpolation. ICLR 2021 - [i3]Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Changxin Liu, Yong Zhang:
Improving Fairness for Data Valuation in Federated Learning. CoRR abs/2109.09046 (2021) - 2020
- [j1]Zhenan Fan, Halyun Jeong, Yifan Sun, Michael P. Friedlander:
Atomic Decomposition via Polar Alignment: The Geometry of Structured Optimization. Found. Trends Optim. 3(4): 280-366 (2020) - [c2]Huang Fang, Zhenan Fan, Yifan Sun, Michael P. Friedlander:
Greed Meets Sparsity: Understanding and Improving Greedy Coordinate Descent for Sparse Optimization. AISTATS 2020: 434-444 - [i2]Zhenan Fan, Halyun Jeong, Babhru Joshi, Michael P. Friedlander:
Polar Deconvolution of Mixed Signals. CoRR abs/2010.10508 (2020)
2010 – 2019
- 2019
- [c1]Zhenan Fan, Yifan Sun, Michael P. Friedlander:
Bundle methods for dual atomic pursuit. ACSSC 2019: 264-270 - [i1]Zhenan Fan, Halyun Jeong, Yifan Sun, Michael P. Friedlander:
Polar Alignment and Atomic Decomposition. CoRR abs/1912.05068 (2019)
Coauthor Index
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