Multi-class learning: From theory to algorithm J Li, Y Liu, R Yin, H Zhang, L Ding, W Wang
Advances in Neural Information Processing Systems 31, 2018
52 2018 Sketch kernel ridge regression using circulant matrix: Algorithm and theory R Yin, Y Liu, W Wang, D Meng
IEEE transactions on neural networks and learning systems 31 (9), 3512-3524, 2019
21 2019 Multi-Class Learning using Unlabeled Samples: Theory and Algorithm. J Li, Y Liu, R Yin, W Wang
IJCAI, 2880-2886, 2019
21 2019 Divide-and-conquer learning with nyström: Optimal rate and algorithm R Yin, Y Liu, L Lu, W Wang, D Meng
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6696-6703, 2020
18 2020 Triangle counting accelerations: From algorithm to in-memory computing architecture X Wang, J Yang, Y Zhao, X Jia, R Yin, X Chen, G Qu, W Zhao
IEEE Transactions on Computers 71 (10), 2462-2472, 2021
15 2021 Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis. J Li, Y Liu, R Yin, W Wang
IJCAI, 2887-2893, 2019
13 2019 Distributed Nystrom Kernel Learning with Communications Rong Yin, Yong Liu, Weiping Wang, Dan Meng
Proceedings of the 28th International Conference on Machine Learning (ICML), 2021
11 * 2021 Extremely sparse Johnson-Lindenstrauss transform: From theory to algorithm R Yin, Y Liu, W Wang, D Meng
2020 IEEE International Conference on Data Mining (ICDM), 1376-1381, 2020
5 2020 Scalable Kernel -Means with Randomized Sketching: From Theory to Algorithm Rong Yin, Yong Liu, Weiping Wang, Dan Meng
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
4 * 2022 Distributed randomized sketching kernel learning R Yin, Y Liu, D Meng
Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8883-8891, 2022
2 2022 Randomized Sketches for Clustering: Fast and Optimal Kernel -Means Rong Yin, Yong Liu, Weiping Wang, Dan Meng
In NeurIPS, 2022
2 * 2022 ASWT-SGNN: Adaptive Spectral Wavelet Transform-based Self-Supervised Graph Neural Network R Liu, R Yin, Y Liu, W Wang
Proceedings of the AAAI Conference on Artificial Intelligence 38 (12), 13990 …, 2024
1 2024 Unbiased and augmentation-free self-supervised graph representation learning R Liu, R Yin, Y Liu, W Wang
Pattern Recognition 149, 110274, 2024
2024 Distributed Least Square Ranking with Random Features R Yin, Y Liu, W Wang, D Meng
2022 Hashing Based Prediction for Large-Scale Kernel Machine L Lu, R Yin, Y Liu, W Wang
Computational Science–ICCS 2020: 20th International Conference, Amsterdam …, 2020
2020