Bundle methods for dual atomic pursuit. - Zhenan Fan; Yifan Sun 001; Michael P. Friedlander (ACSSC, 2019)

Polar Alignment and Atomic Decomposition. - Zhenan Fan; Halyun Jeong; Yifan Sun 001; Michael P. Friedlander (CoRR, 2019)

Greed Meets Sparsity: Understanding and Improving Greedy Coordinate Descent for Sparse Optimization. - Huang Fang; Zhenan Fan; Yifan Sun 001; Michael P. Friedlander (AISTATS, 2020)

Atomic Decomposition via Polar Alignment: The Geometry of Structured Optimization. - Zhenan Fan; Halyun Jeong; Yifan Sun 001; Michael P. Friedlander (Found. Trends Optim., 2020)

Fast convergence of stochastic subgradient method under interpolation. - Huang Fang; Zhenan Fan; Michael P. Friedlander (ICLR, 2021)

Improving Fairness for Data Valuation in Federated Learning. - Zhenan Fan; Huang Fang; Zirui Zhou; Jian Pei 001; Michael P. Friedlander; Changxin Liu 001; Yong Zhang 004 (CoRR, 2021)

Improving Fairness for Data Valuation in Horizontal Federated Learning. - Zhenan Fan; Huang Fang; Zirui Zhou; Jian Pei 001; Michael P. Friedlander; Changxin Liu 001; Yong Zhang 004 (ICDE, 2022)

Fair and efficient contribution valuation for vertical federated learning. - Zhenan Fan; Huang Fang; Zirui Zhou; Jian Pei 001; Michael P. Friedlander; Yong Zhang 004 (CoRR, 2022)

A dual approach for federated learning. - Zhenan Fan; Huang Fang; Michael P. Friedlander (CoRR, 2022)

Knowledge-Injected Federated Learning. - Zhenan Fan; Zirui Zhou; Jian Pei 001; Michael P. Friedlander; Jiajie Hu; Chengliang Li; Yong Zhang 004 (CoRR, 2022)

Polar Deconvolution of Mixed Signals. - Zhenan Fan; Halyun Jeong; Babhru Joshi; Michael P. Friedlander (IEEE Trans. Signal Process., 2022)

Smart Initial Basis Selection for Linear Programs. - Zhenan Fan; Xinglu Wang; Oleksandr Yakovenko; Abdullah Ali Sivas; Owen Ren; Yong Zhang 004; Zirui Zhou (ICML, 2023)

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; Yong Zhang 004 (LREC/COLING, 2024)

Fair and Efficient Contribution Valuation for Vertical Federated Learning. - Zhenan Fan; Huang Fang; Xinglu Wang; Zirui Zhou; Jian Pei 001; Michael P. Friedlander; Yong Zhang 004 (ICLR, 2024)

Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process. - Zhenan Fan; Bissan Ghaddar; Xinglu Wang; Linzi Xing; Yong Zhang 004; Zirui Zhou (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 197; et al. (CoRR, 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)

DeTriever: Decoder-representation-based Retriever for Improving NL2SQL In-Context Learning. - Yuxi Feng; Raymond Li; Zhenan Fan; Giuseppe Carenini; Mohammadreza Pourreza; Weiwei Zhang; Yong Zhang 004 (CoRR, 2024)

Cardinality-constrained structured data-fitting problems. - Zhenan Fan; Huang Fang; Michael P. Friedlander (Open J. Math. Optim., 2024)

Learn2Aggregate: Supervised Generation of Chvatal-Gomory Cuts Using Graph Neural Networks. - Arnaud Deza; Elias B. Khalil; Zhenan Fan; Zirui Zhou; Yong Zhang 004 (AAAI, 2025)

DeTriever: Decoder-representation-based Retriever for Improving NL2SQL In-Context Learning. - Raymond Li; Yuxi Feng; Zhenan Fan; Giuseppe Carenini; Weiwei Zhang; Mohammadreza Pourreza; Yong Zhang (COLING, 2025)

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 004; Zhenan Fan (CoRR, 2025)

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 004; Zhenan Fan (CoRR, 2025)