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Zhenan Fan

Observed name: Fan, Zhenan
ORCID: 0000-0001-5116-2956
Observed ORCID: 0000-0001-5116-2956
OpenAlex ID: A5021637858
Improving Fairness for Data Valuation in Horizontal Federated Learning
2022 · Zhenan Fan, Huang Fang, et al. · IEEE International Conference on Data Engineering (ICDE) · 75
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Fair and efficient contribution valuation for vertical federated learning
2022 · Fan, Zhenan, Fang, Huang, et al. · arXiv (Cornell University) · 17
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Achieving Model Fairness in Vertical Federated Learning
2021 · Liu, Changxin, Fan, Zhenan, et al. · arXiv (Cornell University) · 11
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Artificial intelligence for optimization: Unleashing the potential of parameter generation, model formulation, and solution methods
2025 · Zhenan Fan, Bissan Ghaddar, et al. · European Journal of Operational Research · 7
Sea-land breezes in the Guangdong- Hong Kong- Macau Greater Bay Area coastal zone from 2013 to 2022
2023 · Jielan Xie, Jiaren Sun, et al. · Atmospheric Research · 7
Atomic Decomposition via Polar Alignment
2020 · Zhenan Fan, Halyun Jeong, et al. · Foundations and Trends® in Optimization · 7
Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process
2024 · Fan, Zhenan, Ghaddar, Bissan, et al. · arXiv (Cornell University) · 5
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Improving Fairness for Data Valuation in Federated Learning.
2021 · Zhenan Fan, Fang Huang, et al. · arXiv (Cornell University) · 4
Greed Meets Sparsity: Understanding and Improving Greedy Coordinate Descent for Sparse Optimization.
2020 · Fang Huang, Zhenan Fan, et al. · International Conference on Artificial Intelligence and Statistics · 4
Bundle methods for dual atomic pursuit
2019 · Zhenan Fan, Yifan Sun, et al. · Asilomar Conference on Signals, Systems and Computers (ACSSC) · 4
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A dual approach for federated learning
2022 · Fan, Zhenan, Fang, Huang, et al. · arXiv (Cornell University) · 3
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Polar Alignment and Atomic Decomposition
2019 · Fan, Zhenan, Jeong, Halyun, et al. · arXiv (Cornell University) · 3
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Enhancing Learned Knowledge in LoRA Adapters Through Efficient Contrastive Decoding on Ascend NPUs
2025 · Morgan Lindsay Heisler, Linzi Xing, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 2
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Polar Deconvolution of Mixed Signals
2022 · Zhenan Fan, Halyun Jeong, et al. · IEEE Transactions on Signal Processing · 2
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DECKBench: Benchmarking Multi-Agent Frameworks for Academic Slide Generation and Editing
2026 · Daesik Jang, Morgan Lindsay Heisler, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 1
Learn2Aggregate: Supervised Generation of Chvatal-Gomory Cuts Using Graph Neural Networks
2025 · Arnaud Deza, Elias B. Khalil, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 1
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Efficiently Serving Large Multimodal Models Using EPD Disaggregation
2024 · Singh, Gursimran, Wang, Xinglu, et al. · arXiv (Cornell University) · 1
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Towards Human-aligned Evaluation for Linear Programming Word Problems
2024 · Linzi Xing, Xinglu Wang, et al. · Language Resources and Evaluation Conference (LREC) · 1
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Knowledge-Injected Federated Learning
2022 · Fan, Zhenan, Zhou, Zirui, et al. · arXiv (Cornell University) · 1
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Rollout Efficiency in Reinforcement Learning for Reasoning Large Language Models: A Taxonomy and Future Directions
2026 · Gholipour, Niloofar, Assuncao, Marcos, et al. · arXiv (Cornell University)
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MARLaaS: Multi-Tenant Asynchronous Reinforcement Learning as a Service
2026 · Yu, Timothy Tin Long, Singh, Gursimran, et al. · arXiv (Cornell University)
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ReviveMoE: Fast Recovery for Hardware Failures in Large-Scale MoE LLM Inference Deployments
2026 · Li, Haley, Wang, Xinglu, et al. · arXiv (Cornell University)
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LLM Inference Scheduling: A Survey of Techniques, Frameworks, and Trade-offs
2025 · Morgan Heisler, Zahra Yousefijamarani, et al.
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ElasticMoE: An Efficient Auto Scaling Method for Mixture-of-Experts Models
2025 · Singh, Gursimran, Yu, Timothy, et al. · arXiv (Cornell University)
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Huawei Cloud Model-as-a-Service on the CloudMatrix384 SuperPod
2025 · Xiao, Ao, He, Bangzheng, et al. · arXiv (Cornell University)
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Works count: 37
Citation count: 156
H-index: 6
I10-index: 3
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