闾海荣｜清华大学｜学者主页

2026

FedShift: Federated Learning with Classifier Shift for Class Imbalance

Yun-Heng Shen, Hao-Xiang Wang, Hairong Lv

2026 6th International Conference on Computer Communication and Artificial Intelligence (CCAI)

DOI

2026

PriFedDD: Federated Discrete Diffusion for Medical Image Generation with a Utility-Privacy Trade-Off

Yun-Heng Shen, Lingling Zheng, Hairong Lv

Fall Joint Computer Conference

DOI

2026

Consumer-Centric Digital Twins for Healthcare 5.0 via Personalized Federated Learning with Asynchronous Mobile Updates

Yun-Heng Shen, Ling Zheng, Jun Zhong, Chong Miao, Hairong Lv, Yang Yang

IEEE transactions on consumer electronics

DOI

2025

DeepSeek与医学大语言模型：技术创新与医疗服务模式重构

闾海荣，江瑞，张学工，王存库

《医学信息学杂志》

2025

人工智能与区块链

闾海荣

《清华大学出版社》

2024

基于自然语言处理与结构化算法的病历信息高精度抽取方法研究

王维笑，费晓璐，闾海荣，魏岚，陶焜，赵明，付旭，赵许盼，高菲，任怡

《中国数字医学》

2023

A distributed joint extraction framework for sedimentological entities and relations with federated learning

Tianheng Wang, Ling Zheng, Hairong Lv, Chenghu Zhou, Yunheng Shen, Qinjun Qiu, Yan Li, Pufan Li, Guorui Wang

Expert Systems With Applications，Vol. 213

DOI

2023

Building digital life systems for future biology and medicine

Xuegong Zhang, Lei Wei, Rui Jiang, Xiao-Wo Wang, Jin Gu, Zhen Xie, Hairong Lv

Quant. Biol.

DOI

2022

AggEnhance: Aggregation Enhancement by Class Interior Points in Federated Learning with Non-IID Data

Jinxiang Ou, Yun-Heng Shen, Feng Wang, Qiao Liu, Xuegong Zhang, Hairong Lv

ACM Transactions on Intelligent Systems and Technology

DOI

2021

Toward a unified information framework for cell atlas assembly

Sijie Chen, Yanting Luo, Haoxiang Gao, Fan-Hong Li, Jiaqi Li, Yi-Xin Chen, Renke You, Hairong Lv, Kui Hua, Rui Jiang, Xue-Gong Zhang

National Science Review

DOI

2021

DeepCAPE: A Deep Convolutional Neural Network for the Accurate Prediction of Enhancers

Shengquan Chen, Mingxin Gan, Hairong Lv, Rui Jiang

Genomics,Proteomics & Bioinformatics

2021

Gradient Boosting Forest: a Two-Stage Ensemble Method Enabling Federated Learning of GBDTs

Feng Wang, Jinxiang Ou, Hairong Lv

International Conference on Neural Information Processing

DOI

2020

基于人工智能的新型冠状病毒肺炎流行病学信息采集系统的开发

王维笑，贾露荣，陶焜，李艳，闾海荣

《中国医学装备》

2020

基于自然语言处理进行新冠肺炎确诊患者流行病学史的变化趋势分析的探索

费晓璐，江澜，陈鹏宇，李嘉，魏岚，江瑞，闾海荣

《中国数字医学》

闾海荣

精选作品

期刊论文

FedShift: Federated Learning with Classifier Shift for Class Imbalance

PriFedDD: Federated Discrete Diffusion for Medical Image Generation with a Utility-Privacy Trade-Off

Consumer-Centric Digital Twins for Healthcare 5.0 via Personalized Federated Learning with Asynchronous Mobile Updates

DeepSeek与医学大语言模型：技术创新与医疗服务模式重构

人工智能与区块链

基于自然语言处理与结构化算法的病历信息高精度抽取方法研究

A distributed joint extraction framework for sedimentological entities and relations with federated learning

Building digital life systems for future biology and medicine

AggEnhance: Aggregation Enhancement by Class Interior Points in Federated Learning with Non-IID Data

Toward a unified information framework for cell atlas assembly

DeepCAPE: A Deep Convolutional Neural Network for the Accurate Prediction of Enhancers

Gradient Boosting Forest: a Two-Stage Ensemble Method Enabling Federated Learning of GBDTs

基于人工智能的新型冠状病毒肺炎流行病学信息采集系统的开发

基于自然语言处理进行新冠肺炎确诊患者流行病学史的变化趋势分析的探索

研究方向