殷荣｜北京航空航天大学｜学者主页

期刊论文

2026

Communication-efficient personalized federal graph learning via low-rank decomposition

Ruyue Liu, Rong Yin, Xiangzhen Bo, Xiaoshuai Hao, Xingrui Zhou, Yong Liu, Liang Li, Jin-Wen Zhong, Can Ma, Wei-Ping Wang

Pattern Recognition

DOI

2026

Parameter-efficient fine-tuning for multimodal fusion: A survey of injection-driven integration mechanisms

Zhuoyifan Zhang, Xiaoshuai Hao, Rong Yin, Jian Li, Haichao Shi, Haoran Li, Hao Peng, Yü Liu, Can Ma

Information Fusion

DOI

2026

Self-Supervised Continuous Dynamic Graph Representation Learning via Hawkes Processes

Ruyue Liu, Rong Yin, Xingrui Zhou, Xiaoshuai Hao, Jian Li, Jinwen Zhong, C W, Weiping Wang

IEEE Transactions on Neural Networks and Learning Systems

DOI

2026

Feature Decoupling-Based Bilateral Adaptive Personalized Federated Graph Learning

Ruyue Liu, Rong Yin, Yong Liu, Xiaoshuai Hao, Can Ma, Weiping Wang

IEEE Transactions on Multimedia

DOI

2025

Patient Triage and Guidance in Emergency Departments Using Large Language Models: Multimetric Study

Chenxu Wang, Fei Wang, Shuhan Li, Qing-wen Ren, Xiaomei Tan, Yaoyu Fu, Di Liu, Guangwu Qian, Yu Cao, Rong Yin, Kang Li

Journal Of Medical Internet Research，Vol. 27

DOI

2025

Application of Large Language Models in Medical Training Evaluation-Using ChatGPT as a Standardized Patient: Multimetric Assessment

Chenxu Wang, Shuhan Li, Nuoxi Lin, Xinyu Zhang, Ying Han, Xiandi Wang, Di Liu, Xiaomei Tan, Dan Pu, Kang Li, Guangwu Qian, Rong Yin

Journal Of Medical Internet Research，Vol. 27

DOI

2025

AS-GCL: Asymmetric Spectral Augmentation on Graph Contrastive Learning

Ruyue Liu, Rong Yin, Yong Liu, Xiaoshuai Hao, Haichao Shi, Can Ma, Wei-Ping Wang

IEEE transactions on multimedia

DOI

2025

SSTAG: Structure-Aware Self-Supervised Learning Method for Text-Attributed Graphs

Ruyue Liu, Rong Yin, Xiangzhen Bo, Xiaoshuai Hao, Yong Liu, Jinwen Zhong, Can Ma, Weiping Wang

neural information processing systems

DOI

2025

Improving Mathematical Reasoning Abilities of Small Language Models via Key-Point-Driven Distillation

Xun-Yu Zhu, Jian Li, Rong Yin, Can Ma, Weiping Wang

IEEE International Joint Conference on Neural Network

DOI

2025

FedNK-RF: Federated Kernel Learning With Heterogeneous Data and Optimal Rates

Xuning Zhang, Jian Li, Rong Yin, Wei-Ping Wang

IEEE Transactions on Neural Networks and Learning Systems

DOI

2025

Improving Mathematical Reasoning Capabilities of Small Language Models via Feedback-Driven Distillation

Xun-Yu Zhu, Jian Li, Rong Yin, Can Ma, Wei-Ping Wang

IEEE International Joint Conference on Neural Network

DOI

2024

Unbiased and augmentation-free self-supervised graph representation learning

Ruyue Liu, Rong Yin, Yong Liu, Wei-Ping Wang

Pattern Recognition

DOI

2023

ASWT-SGNN: Adaptive Spectral Wavelet Transform-based Self-Supervised Graph Neural Network

Ruyue Liu, Rong Yin, Yong Liu, Wei-Ping Wang

AAAI Conference on Artificial Intelligence

DOI

2023

Scalable Kernel $k$-Means With Randomized Sketching: From Theory to Algorithm

Rong Yin, Yong Liu, Wei-Ping Wang, D. Meng

IEEE Transactions on Knowledge and Data Engineering

DOI

2022

Randomized Sketches for Clustering: Fast and Optimal Kernel $k$-Means

Rong Yin, Yong Liu, Wei-Ping Wang, D. Meng

Neural Information Processing Systems

DOI

2022

Distributed Randomized Sketching Kernel Learning

Rong Yin, Y. Liu, D. Meng

AAAI Conference on Artificial Intelligence

DOI

2021

Distributed Nyström Kernel Learning with Communications

Rong Yin, Yong Liu, Wei-Ping Wang, D. Meng

International Conference on Machine Learning

2020

Sketch Kernel Ridge Regression Using Circulant Matrix: Algorithm and Theory

Rong Yin, Yong Liu, Weiping Wang, Dan Meng

IEEE Transactions on Neural Networks and Learning Systems

DOI

2020

Extremely Sparse Johnson-Lindenstrauss Transform: From Theory to Algorithm

Rong Yin, Yong Liu, Wei-Ping Wang, Dan Meng

Industrial Conference on Data Mining

DOI

2020

Divide-and-Conquer Learning with Nyström: Optimal Rate and Algorithm

Rong Yin, Yong Liu, Lijing Lu, Wei-Ping Wang, Dan Meng

AAAI Conference on Artificial Intelligence

DOI

2020

Hashing Based Prediction for Large-Scale Kernel Machine

Lijing Lu, Rong Yin, Yong Liu, Wei-Ping Wang

International Conference on Conceptual Structures

DOI

2019

基于未分割视频的事件检测方法研究

殷荣

《西安理工大学》

2019

Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis

Jian Li, Yong Liu, Rong Yin, Wei-Ping Wang

International Joint Conference on Artificial Intelligence

DOI

2019

Multi-Class Learning using Unlabeled Samples: Theory and Algorithm

Jian Li, Yong Liu, Rong Yin, Wei-Ping Wang

International Joint Conference on Artificial Intelligence

DOI

2018

Multi-Class Learning: From Theory to Algorithm

Jian Li, Y. Liu, Rong Yin, Hua Zhang, Lizhong Ding, Wei-Ping Wang

Neural Information Processing Systems

2016

基于DAG模型的离线数据处理引擎的设计与实现

殷荣

《哈尔滨工业大学》

预印本

2026

Multi-Stakeholder LLM Alignment: Decomposing Estimation from Aggregation

Lulu Zheng, Wenjin Yang, Xiangwen Zhang, Rong Yin, Yulan Hu, Zheng Pan, Xin Li

arXiv preprint

2026

ActGuard: Pre-execution Action Auditing against Indirect Prompt Injection in LLM Agents

Bingzheng Wang, Xiaoyan Gu, Wentao Wang, Xingyou Yang, Hongcheng Li, Rong Yin

arXiv preprint

2026

Can LVLMs Uncover the Truth Behind Visual Illusions? An Analysis of Perceptual and Reasoning Capabilities

Liangjie Zhao, Jiaqing Lyu, Kexin Tang, Zecheng Fang, Rong Yin, Yulan Hu, Da Li, Jianing Li

arXiv (Cornell University)

DOI

2026

GeoBalance: Geometry-Aware Monitoring and Reconstruction with Asymmetric Optimization for Balanced Multimodal Learning

Zechang Xiong, Da Li, Rong Yin, Kexin Tang, Biao Yang, Pengyuan Li, Wenkang Kong, Yulan Hu, Shengyu Zhu, Hao Peng

arXiv preprint

2024

FTF-ER: Feature-Topology Fusion-Based Experience Replay Method for Continual Graph Learning

Jinhui Pang, Changqing Lin, Xiaoshuai Hao, Rong Yin, Zixuan Wang, Zhihui Zhang, Jinglin He, Huang Tai Sheng

arXiv preprint

DOI

殷荣

精选作品

期刊论文

Communication-efficient personalized federal graph learning via low-rank decomposition

Parameter-efficient fine-tuning for multimodal fusion: A survey of injection-driven integration mechanisms

Self-Supervised Continuous Dynamic Graph Representation Learning via Hawkes Processes

Feature Decoupling-Based Bilateral Adaptive Personalized Federated Graph Learning

Patient Triage and Guidance in Emergency Departments Using Large Language Models: Multimetric Study

Application of Large Language Models in Medical Training Evaluation-Using ChatGPT as a Standardized Patient: Multimetric Assessment

AS-GCL: Asymmetric Spectral Augmentation on Graph Contrastive Learning

SSTAG: Structure-Aware Self-Supervised Learning Method for Text-Attributed Graphs

Improving Mathematical Reasoning Abilities of Small Language Models via Key-Point-Driven Distillation

FedNK-RF: Federated Kernel Learning With Heterogeneous Data and Optimal Rates

Improving Mathematical Reasoning Capabilities of Small Language Models via Feedback-Driven Distillation

Unbiased and augmentation-free self-supervised graph representation learning

ASWT-SGNN: Adaptive Spectral Wavelet Transform-based Self-Supervised Graph Neural Network

Scalable Kernel $k$-Means With Randomized Sketching: From Theory to Algorithm

Randomized Sketches for Clustering: Fast and Optimal Kernel $k$-Means

Distributed Randomized Sketching Kernel Learning

Distributed Nyström Kernel Learning with Communications

Sketch Kernel Ridge Regression Using Circulant Matrix: Algorithm and Theory

Extremely Sparse Johnson-Lindenstrauss Transform: From Theory to Algorithm

Divide-and-Conquer Learning with Nyström: Optimal Rate and Algorithm

Hashing Based Prediction for Large-Scale Kernel Machine

基于未分割视频的事件检测方法研究

Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis

Multi-Class Learning using Unlabeled Samples: Theory and Algorithm

Multi-Class Learning: From Theory to Algorithm

基于DAG模型的离线数据处理引擎的设计与实现

预印本

Multi-Stakeholder LLM Alignment: Decomposing Estimation from Aggregation

ActGuard: Pre-execution Action Auditing against Indirect Prompt Injection in LLM Agents

Can LVLMs Uncover the Truth Behind Visual Illusions? An Analysis of Perceptual and Reasoning Capabilities

GeoBalance: Geometry-Aware Monitoring and Reconstruction with Asymmetric Optimization for Balanced Multimodal Learning

FTF-ER: Feature-Topology Fusion-Based Experience Replay Method for Continual Graph Learning

研究方向