Rong Yin

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 15

Top Topics

Expectation Maximization

Kernel Learning

Maximal Cliques

Top Venues

Publications

Ruyue Liu, Rong Yin, Yong Liu, Weiping Wang
Unbiased and augmentation-free self-supervised graph representation learning. Pattern Recognit. 149 (2024)
Ruyue Liu, Rong Yin, Yong Liu, Weiping Wang
ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network. AAAI (2024)
Rong Yin, Yong Liu, Weiping Wang, Dan Meng
Scalable Kernel $k$-Means With Randomized Sketching: From Theory to Algorithm. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Rong Yin, Yong Liu, Dan Meng
Distributed Randomized Sketching Kernel Learning. AAAI (2022)
Xueyan Wang, Jianlei Yang, Yinglin Zhao, Xiaotao Jia, Rong Yin, Xuhang Chen, Gang Qu, Weisheng Zhao
Triangle Counting Accelerations: From Algorithm to In-Memory Computing Architecture. IEEE Trans. Computers 71 (10) (2022)
Rong Yin, Yong Liu, Weiping Wang, Dan Meng
Randomized Sketches for Clustering: Fast and Optimal Kernel $k$-Means. NeurIPS (2022)
Xueyan Wang, Jianlei Yang, Yinglin Zhao, Xiaotao Jia, Rong Yin, Xuhang Chen, Gang Qu, Weisheng Zhao
Triangle Counting Accelerations: From Algorithm to In-Memory Computing Architecture. CoRR (2021)
Rong Yin, Yong Liu, Weiping Wang, Dan Meng
Distributed Nyström Kernel Learning with Communications. ICML (2021)
Rong Yin, Yong Liu, Lijing Lu, Weiping Wang, Dan Meng
Divide-and-Conquer Learning with Nyström: Optimal Rate and Algorithm. AAAI (2020)
Rong Yin, Yong Liu, Weiping Wang, Dan Meng
Extremely Sparse Johnson-Lindenstrauss Transform: From Theory to Algorithm. ICDM (2020)
Lijing Lu, Rong Yin, Yong Liu, Weiping Wang
Hashing Based Prediction for Large-Scale Kernel Machine. ICCS (2) (2020)
Rong Yin, Yong Liu, Weiping Wang, Dan Meng
Sketch Kernel Ridge Regression Using Circulant Matrix: Algorithm and Theory. IEEE Trans. Neural Networks Learn. Syst. 31 (9) (2020)
Jian Li, Yong Liu, Rong Yin, Weiping Wang
Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis. IJCAI (2019)
Jian Li, Yong Liu, Rong Yin, Weiping Wang
Multi-Class Learning using Unlabeled Samples: Theory and Algorithm. IJCAI (2019)
Jian Li, Yong Liu, Rong Yin, Hua Zhang, Lizhong Ding, Weiping Wang
Multi-Class Learning: From Theory to Algorithm. NeurIPS (2018)
Feng Gui, Yunlong Ma, Feng Zhang, Min Liu, Rong Yin, Weiming Shen
A Stable and Distributed Community Detection Algorithm Based on Maximal Cliques. SMC (2015)
Rong Yin, Feng Zhang, Min Liu, Feng Gui, Fei Li, Weiming Shen
Communication model of embedded multi-protocol gateway for MRO online monitoring system. CSCWD (2015)
Rong Yin, Min Liu, Feng Zhang, Wei Wu
Multi-feature fusion for image segmentation based on granular theory. CSCWD (2014)