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Yong Liu
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Fine perceptive gans for brain mr image super-resolution in wavelet domain
S You, Y Liu, B Lei, S Wang
IEEE Transactions on Neural Networks and Learning Systems, 2022
1202022
Learning entity and relation embeddings for knowledge resolution
H Lin, Y Liu, W Wang, Y Yue, Z Lin
Procedia Computer Science 108, 345-354, 2017
872017
Morphological feature visualization of Alzheimer's disease via Multidirectional Perception GAN
WYBLYSSWYLZFYHMK Ng
IEEE Transactions on Neural Networks and Learning Systems, 2022
782022
Efficient approximation of cross-validation for kernel methods using Bouligand influence function
Y Liu, S Jiang, S Liao
International conference on machine learning, 324-332, 2014
662014
A survey on model compression for large language models
X Zhu, J Li, Y Liu, C Ma, W Wang
arXiv preprint arXiv:2308.07633, 2023
572023
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 (NIPS), 2018
522018
Fast Cross-Validation for Kernel-based Algorithms
Y Liu, S Liao, S Jiang, L Ding, H Lin, W Wang
IEEE Transactions on Pattern Analysis and Machine Intelligence 42 (5), 1083-1096, 2020
432020
Deep Safe Incomplete Multi-view Clustering: Theorem and Algorithm
T Huayi, Y Liu*
Proceedings of the 39th International Conference on Machine Learning (ICML), 2022
38*2022
Semantic-aware dehazing network with adaptive feature fusion
S Zhang, W Ren, X Tan, ZJ Wang, Y Liu, J Zhang, X Zhang, X Cao
IEEE Transactions on Cybernetics 53 (1), 454-467, 2021
362021
Can large language models empower molecular property prediction?
C Qian, H Tang, Z Yang, H Liang, Y Liu
arXiv preprint arXiv:2307.07443, 2023
292023
Learning Structural Representations via Dynamic Object Landmarks Discovery for Sketch Recognition and Retrieval
H Zhang, P She, Y Liu, X Cao, H Foroosh
IEEE Transactions on Image Processing, 2019
292019
Learning Structural Representations via Dynamic Object Landmarks Discovery for Sketch Recognition and Retrieval
H Zhang, P She, Y Liu, X Cao, H Foroosh
IEEE Transactions on Image Processing, 2019
292019
Infinite kernel learning: generalization bounds and algorithms
Y Liu, S Liao, H Lin, Y Yue, W Wang
Proceedings of the AAAI Conference on artificial intelligence 31 (1), 2017
292017
Granularity selection for cross-validation of SVM
Y Liu, S Liao
Information Sciences 378, 475-483, 2017
282017
Eigenvalues ratio for kernel selection of kernel methods
Y Liu, S Liao
Proceedings of the AAAI Conference on artificial intelligence 29 (1), 2015
262015
Sharper Generalization Bounds for Clustering
S Li, Y Liu
Proceedings of the 28th International Conference on Machine Learning (ICML), 2021
242021
Deep Safe Multi-view Clustering: Reducing the Risk of Clustering Performance Degradation Caused by View Increase
H Tang, Y Liu
CVPR, 2022
232022
Learning kernels with upper bounds of leave-one-out error
Y Liu, S Liao, Y Hou
Proceedings of the 20th ACM International Conference on Information and …, 2011
232011
Effective Distributed Learning with Random Features: Improved Bounds and Algorithms
Y Liu, J Liu, S Wang
International Conference on Learning Representations (ICLR), 2021
222021
Input perturbation: A new paradigm between central and local differential privacy
Y Kang, Y Liu, B Niu, X Tong, L Zhang, W Wang
arXiv preprint arXiv:2002.08570, 2020
212020
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Articles 1–20