杨楠｜河海大学｜学者主页

期刊论文

2025

基于数字孪生技术的数字水利工程勘察平台关键技术研究

裴丽娜，王泉伟，刘建磊，杨楠，贾聿颉，葛星，罗丹

《工程地质学报》

DOI

2015

云平台环境下产学研隐性知识共享协同机制研究

杨楠，胡刃锋刘国亮杨楠

《情报科学》，Vol. 33, No. 4

下载原文

2014

研究型大学"馆—院—组"协同知识服务模式研究

杜慰纯，秦小燕，何葭，杨楠

《情报资料工作》，No. 5

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预印本

2026

CroSatFL: Energy-Efficient Federated Learning with Cross-Aggregation for Satellite Edge Computing

Nan Yang, Bahman Javadi, Rodrigo Neves Calheiros, David Boland, Philip Leong

arXiv preprint

2026

Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data

Xuanyu Chen, Nan Yang, Shuai Wang, Dong Yuan

arXiv preprint

2026

AgentServe: Algorithm-System Co-Design for Efficient Agentic AI Serving on a Consumer-Grade GPU

Yuning Zhang, Yan Yan, Nan Yang, Dong Yuan

arXiv preprint

2026

PoseCompass: Intelligent Synthetic Pose Selection for Visual Localization

Yanan Zhou, Zhaoyan Qian, Yanli Li, Nan Yang, Zhongliang Guo, Dong Yuan

arXiv preprint

2025

Optimal Look-back Horizon for Time Series Forecasting in Federated Learning

Dahao Tang, Nan Yang, Yanli Li, Zhiyu Zhu, Zhibo Jin, Dong Yuan

arXiv preprint

2025

GuardFed: A Trustworthy Federated Learning Framework Against Dual-Facet Attacks

Yanli Li, Yanan Zhou, Zhongliang Guo, Nan Yang, Yuning Zhang, Huaming Chen, Dong Yuan, Weiping Ding, Witold Pedrycz

arXiv preprint

2025

Scaling Law Analysis in Federated Learning: How to Select the Optimal Model Size?

Xuanyu Chen, Nan Yang, Shuai Wang, Dong Yuan

arXiv preprint

2025

DuoServe-MoE: Dual-Phase Expert Prefetch and Caching for LLM Inference QoS Assurance

Yuning Zhang, Grant Pinkert, Nan Yang, Yanli Li, Dong Yuan

arXiv preprint

2024

Fairpriori: Improving Biased Subgroup Discovery for Deep Neural Network Fairness

Kacy Zhou, Jiawen Wen, Nan Yang, Dong Yuan, Qinghua Lu, Huaming Chen

arXiv preprint

2024

CAKD: A Correlation-Aware Knowledge Distillation Framework Based on Decoupling Kullback-Leibler Divergence

Zao Zhang, Huaming Chen, Pei Ning, Nan Yang, Dong Yuan

arXiv preprint

2024

Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges

Yanli Li, Zhongliang Guo, Nan Yang, Huaming Chen, Dong Yuan, Weiping Ding

arXiv preprint

DOI

2023

FedIL: Federated Incremental Learning from Decentralized Unlabeled Data with Convergence Analysis

Nan Yang, Dong Yuan, Charles Z Liu, Yongkun Deng, Wei Bao

arXiv preprint

2023

FedMAE: Federated Self-Supervised Learning with One-Block Masked Auto-Encoder

Nan Yang, Xuanyu Chen, Charles Z. Liu, Dong Yuan, Wei Bao, Lizhen Cui

arXiv preprint

精选作品

期刊论文

基于数字孪生技术的数字水利工程勘察平台关键技术研究

云平台环境下产学研隐性知识共享协同机制研究

研究型大学"馆—院—组"协同知识服务模式研究

预印本

CroSatFL: Energy-Efficient Federated Learning with Cross-Aggregation for Satellite Edge Computing

Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data

AgentServe: Algorithm-System Co-Design for Efficient Agentic AI Serving on a Consumer-Grade GPU

PoseCompass: Intelligent Synthetic Pose Selection for Visual Localization

Optimal Look-back Horizon for Time Series Forecasting in Federated Learning

GuardFed: A Trustworthy Federated Learning Framework Against Dual-Facet Attacks

Scaling Law Analysis in Federated Learning: How to Select the Optimal Model Size?

DuoServe-MoE: Dual-Phase Expert Prefetch and Caching for LLM Inference QoS Assurance

Fairpriori: Improving Biased Subgroup Discovery for Deep Neural Network Fairness

CAKD: A Correlation-Aware Knowledge Distillation Framework Based on Decoupling Kullback-Leibler Divergence

Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges

FedIL: Federated Incremental Learning from Decentralized Unlabeled Data with Convergence Analysis

FedMAE: Federated Self-Supervised Learning with One-Block Masked Auto-Encoder