Rong Yin

According to our database, Rong Yin authored at least 17 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Ruyue Liu, Rong Yin, Yong Liu, Weiping Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

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

Rong Yin, Yong Liu, Weiping Wang, Dan Meng

IEEE Trans. Knowl. Data Eng., September, 2023

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

Ruyue Liu, Rong Yin, Yong Liu, Weiping Wang

CoRR, 2023

2022

Triangle Counting Accelerations: From Algorithm to In-Memory Computing Architecture.

Xueyan Wang, Jianlei Yang, Yinglin Zhao, Xiaotao Jia, Rong Yin, Xuhang Chen, Gang Qu, Weisheng Zhao

IEEE Trans. Computers, 2022

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

Rong Yin, Yong Liu, Weiping Wang, Dan Meng

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Distributed Randomized Sketching Kernel Learning.

Rong Yin, Yong Liu, Dan Meng

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Distributed Nyström Kernel Learning with Communications.

Rong Yin, Yong Liu, Weiping Wang, Dan Meng

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Sketch Kernel Ridge Regression Using Circulant Matrix: Algorithm and Theory.

Rong Yin, Yong Liu, Weiping Wang, Dan Meng

IEEE Trans. Neural Networks Learn. Syst., 2020

Extremely Sparse Johnson-Lindenstrauss Transform: From Theory to Algorithm.

Rong Yin, Yong Liu, Weiping Wang, Dan Meng

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Hashing Based Prediction for Large-Scale Kernel Machine.

Lijing Lu, Rong Yin, Yong Liu, Weiping Wang

Proceedings of the Computational Science - ICCS 2020, 2020

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

Rong Yin, Yong Liu, Lijing Lu, Weiping Wang, Dan Meng

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis.

Jian Li, Yong Liu, Rong Yin, Weiping Wang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Multi-Class Learning using Unlabeled Samples: Theory and Algorithm.

Jian Li, Yong Liu, Rong Yin, Weiping Wang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Multi-Class Learning: From Theory to Algorithm.

Jian Li, Yong Liu, Rong Yin, Hua Zhang, Lizhong Ding, Weiping Wang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2015

A Stable and Distributed Community Detection Algorithm Based on Maximal Cliques.

Feng Gui, Yunlong Ma, Feng Zhang, Min Liu, Rong Yin, Weiming Shen

Proceedings of the 2015 IEEE International Conference on Systems, 2015

Communication model of embedded multi-protocol gateway for MRO online monitoring system.

Rong Yin, Feng Zhang, Min Liu, Feng Gui, Fei Li, Weiming Shen

Proceedings of the 19th IEEE International Conference on Computer Supported Cooperative Work in Design, 2015

2014

Multi-feature fusion for image segmentation based on granular theory.

Rong Yin, Min Liu, Feng Zhang, Wei Wu

Proceedings of the IEEE 18th International Conference on Computer Supported Cooperative Work in Design, 2014