Zhenan Fan

34 papers A* 6A 1B 1Misc 1Journal 23Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Artificial intelligence for optimization: Unleashing the potential of parameter generation, model formulation, and solution methods.
Eur. J. Oper. Res.
Zhenan Fan, Bissan Ghaddar, Xinglu Wang, Linzi Xing, Yong Zhang, Zirui Zhou
2026 J jnl
DECKBench: Benchmarking Multi-Agent Frameworks for Academic Slide Generation and Editing.
CoRR
Daesik Jang, Morgan Lindsay Heisler, Linzi Xing, Yifei Li, Edward Wang, Ying Xiong, Yong Zhang, Zhenan Fan
2026 J jnl
ReviveMoE: Fast Recovery for Hardware Failures in Large-Scale MoE LLM Inference Deployments.
CoRR
Haley Li, Xinglu Wang, Cong Feng, Chunxu Zuo, Yanan Wang, Hei Lo, Yufei Cui, Bingji Wang, Duo Cui, Shuming Jing, Yizhou Shan, Ying Xiong, Jiannan Wang, Yong Zhang, Zhenan Fan
2025 B conf
DeTriever: Decoder-representation-based Retriever for Improving NL2SQL In-Context Learning.
COLING
Raymond Li, Yuxi Feng, Zhenan Fan, Giuseppe Carenini, Weiwei Zhang, Mohammadreza Pourreza, Yong Zhang
2025 A* conf
Efficiently Serving Large Multimodal Models Using EPD Disaggregation.
ICML
Gursimran Singh, Xinglu Wang, Yifan Hu, Timothy Tin Long Yu, Linzi Xing, Wei Jiang, Zhefeng Wang, Xiaolong Bai, Yi Li, Ying Xiong, Yong Zhang, Zhenan Fan
2025 J jnl
Efficiently serving large multimedia models using EPD Disaggregation.
CoRR
Gursimran Singh, Xinglu Wang, Ivan Hu, Timothy T. L. Yu, Linzi Xing, Wei Jiang, Zhefeng Wang, Xiaolong Bai, Yi Li, Ying Xiong, Yong Zhang, Zhenan Fan
2025 J jnl
ElasticMoE: An Efficient Auto Scaling Method for Mixture-of-Experts Models.
CoRR
Gursimran Singh, Timothy T. L. Yu, Haley Li, Cheng Chen, Hanieh Sadri, Qintao Zhang, Yu Zhang, Ying Xiong, Yong Zhang, Zhenan Fan
2025 — conf
Enhancing Learned Knowledge in LoRA Adapters Through Efficient Contrastive Decoding on Ascend NPUs.
KDD (2)
Morgan Lindsay Heisler, Linzi Xing, Ge Shi, Hanieh Sadri, Gursimran Singh, Weiwei Zhang, Tao Ye, Ying Xiong, Yong Zhang, Zhenan Fan
2025 J jnl
Enhancing Learned Knowledge in LoRA Adapters Through Efficient Contrastive Decoding on Ascend NPUs.
CoRR
Morgan Lindsay Heisler, Linzi Xing, Ge Shi, Hanieh Sadri, Gursimran Singh, Weiwei Zhang, Tao Ye, Ying Xiong, Yong Zhang, Zhenan Fan
2025 J jnl
ExpertWeave: Efficiently Serving Expert-Specialized Fine-Tuned Adapters at Scale.
CoRR
Ge Shi, Hanieh Sadri, Qian Wang, Yu Zhang, Ying Xiong, Yong Zhang, Zhenan Fan
2025 J jnl
HyperFlexis: Joint Design of Algorithms and Systems for Multi-SLO Serving and Fast Scaling.
CoRR
Zahra Yousefijamarani, Xinglu Wang, Qian Wang, Morgan Lindsay Heisler, Taha Shabani, Niloofar Gholipour, Parham Yassini, Hong Chang, Kan Chen, Qiantao Zhang, Xiaolong Bai, Jiannan Wang, Ying Xiong, Yong Zhang, Zhenan Fan
2025 A* conf
Learn2Aggregate: Supervised Generation of Chvatal-Gomory Cuts Using Graph Neural Networks.
AAAI
Arnaud Deza, Elias B. Khalil, Zhenan Fan, Zirui Zhou, Yong Zhang
2025 J jnl
MEPIC: Memory Efficient Position Independent Caching for LLM Serving.
CoRR
Qian Wang, Zahra Yousefijamarani, Morgan Lindsay Heisler, Rongzhi Gu, Xiaolong Bai, Shan Yizhou, Wei Zhang, Wang Lan, Ying Xiong, Yong Zhang, Zhenan Fan
2024 J jnl
Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process.
CoRR
Zhenan Fan, Bissan Ghaddar, Xinglu Wang, Linzi Xing, Yong Zhang, Zirui Zhou
2024 J jnl
Cardinality-constrained structured data-fitting problems.
Open J. Math. Optim.
Zhenan Fan, Huang Fang, Michael P. Friedlander
2024 J jnl
DeTriever: Decoder-representation-based Retriever for Improving NL2SQL In-Context Learning.
CoRR
Yuxi Feng, Raymond Li, Zhenan Fan, Giuseppe Carenini, Mohammadreza Pourreza, Weiwei Zhang, Yong Zhang
2024 A* conf
Fair and Efficient Contribution Valuation for Vertical Federated Learning.
ICLR
Zhenan Fan, Huang Fang, Xinglu Wang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Yong Zhang
2024 J jnl
Learn2Aggregate: Supervised Generation of Chvátal-Gomory Cuts Using Graph Neural Networks.
CoRR
Arnaud Deza, Elias B. Khalil, Zhenan Fan, Zirui Zhou, Yong Zhang
2024 J jnl
Machine Learning Insides OptVerse AI Solver: Design Principles and Applications.
CoRR
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
2024 J jnl
SQL-Encoder: Improving NL2SQL In-Context Learning Through a Context-Aware Encoder.
CoRR
Mohammadreza Pourreza, Davood Rafiei, Yuxi Feng, Raymond Li, Zhenan Fan, Weiwei Zhang
2024 — conf
Towards Human-aligned Evaluation for Linear Programming Word Problems.
LREC/COLING
Linzi Xing, Xinglu Wang, Yuxi Feng, Zhenan Fan, Jing Xiong, Zhijiang Guo, Xiaojin Fu, Rindra Ramamonjison, Mahdi Mostajabdaveh, Xiongwei Han, Zirui Zhou, Yong Zhang
2023 A* conf
Smart Initial Basis Selection for Linear Programs.
ICML
Zhenan Fan, Xinglu Wang, Oleksandr Yakovenko, Abdullah Ali Sivas, Owen Ren, Yong Zhang, Zirui Zhou
2022 J jnl
A dual approach for federated learning.
CoRR
Zhenan Fan, Huang Fang, Michael P. Friedlander
2022 J jnl
Fair and efficient contribution valuation for vertical federated learning.
CoRR
Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Yong Zhang
2022 A* conf
Improving Fairness for Data Valuation in Horizontal Federated Learning.
ICDE
Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Changxin Liu, Yong Zhang
2022 J jnl
Knowledge-Injected Federated Learning.
CoRR
Zhenan Fan, Zirui Zhou, Jian Pei, Michael P. Friedlander, Jiajie Hu, Chengliang Li, Yong Zhang
2022 J jnl
Polar Deconvolution of Mixed Signals.
IEEE Trans. Signal Process.
Zhenan Fan, Halyun Jeong, Babhru Joshi, Michael P. Friedlander
2021 A* conf
Fast convergence of stochastic subgradient method under interpolation.
ICLR
Huang Fang, Zhenan Fan, Michael P. Friedlander
2021 J jnl
Improving Fairness for Data Valuation in Federated Learning.
CoRR
Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Changxin Liu, Yong Zhang
2020 J jnl
Atomic Decomposition via Polar Alignment: The Geometry of Structured Optimization.
Found. Trends Optim.
Zhenan Fan, Halyun Jeong, Yifan Sun, Michael P. Friedlander
2020 A conf
Greed Meets Sparsity: Understanding and Improving Greedy Coordinate Descent for Sparse Optimization.
AISTATS
Huang Fang, Zhenan Fan, Yifan Sun, Michael P. Friedlander
2020 J jnl
Polar Deconvolution of Mixed Signals.
CoRR
Zhenan Fan, Halyun Jeong, Babhru Joshi, Michael P. Friedlander
2019 Misc conf
Bundle methods for dual atomic pursuit.
ACSSC
Zhenan Fan, Yifan Sun, Michael P. Friedlander
2019 J jnl
Polar Alignment and Atomic Decomposition.
CoRR
Zhenan Fan, Halyun Jeong, Yifan Sun, Michael P. Friedlander