Publications (Google Scholar Profile)

Learning Structural Representations via Dynamic Object Landmarks Discovery for Sketch Recognition and Retrieval
Hua Zhang, Peng She, Yong Liu, Xiaochun Cao, Hassan Foroosh. IEEE Transactions on Image Processing (TIP), 2019

Representation Learning of Taxonomies for Taxonomy Matching
Hailun Lin, Yong Liu*. International Conference on Computational Science (ICCS), 2019.

Efficient Cross-Validation for Semi-Supervised Learning
Yong Liu, Jian Li, Guangjun Wu, Lizhong Ding, Weiping Wang. arXiv, 2019.

Fast Cross-Validation for Kernel-based Algorithms
Yong Liu, Shizhong Liao, Shali Jiang, Lizhong Ding, Hailun Lin, Weiping Wang. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019, to appear.

Max-Diversity Distributed Learning: Theory and Algorithms
Yong Liu, Jian Li, Weiping Wang. arXiv, 2018.

Multi-Class Learning: From Theory to Algorithm
Jian Li, Yong Liu*, Rong Yin, Hua Zhang, Li-zhong Ding, Weiping Wang. Advances in Neural Information Processing Systems 31 (NIPS), 1593-1602, 2018.

Fast Cross-Validation
Yong Liu, Hailun Lin, Lizhong Ding, Weiping Wang, Shizhong Liao. Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI), 2910-2917, 2018

Generalization Analysis for Ranking Using Integral Operator
Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang. Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI), 2272-2279, 2017

Infinite Kernel Learning: Generalization Bounds and Algorithms
Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang. Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI), 2280-2286, 2017

Efficient Kernel Selection via Spectral Analysis
Jian Li, Yong Liu*, Hailun Lin, Yinliang Yue, Weiping Wang. Procedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), 2124-2130, 2017.

Eigenvalues Ratio for Kernel Selection of Kernel Methods
Yong Liu, Shizhong Liao. Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI), 2814-2820, 2015

Efficient Approximation of Cross-Validation for Kernel Methods using Bouligand influence function
Yong Liu, Shali Jiang, Shizhong Liao. Proceedings of the 31st International Conference on Machine Learning (ICML), 324-332, 2014

Approximate Kernel Selection with Strong Approximate Consistency
Lizhong Ding, Yong Liu, Shizhong Liao, Peng Yang, Yu Li, Yijie Pan, Chao Huang, Ling Shao, Xin Gao. Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019, accept.

Linear Kernel Tests via Empirical Likelihood for High Dimensional Data
Lizhong Ding, Zhi Liu, Yu Li, Shizhong Liao, Yong Liu, Peng Yang, Ge Yu, Ling Shao, Xin Gao. Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019, accept.

Randomized Kernel Selection With Spectra of Multilevel Circulant Matrices
Li-Zhong Ding, Shizhong Liao, Yong Liu, Peng Yang, Xin Gao. Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI), 2497-2503, 2018

Granularity Selection for Cross-Validation of SVM
Yong Liu, Shizhong Liao. Information Sciences, 378:475-483, 2017

Learning Entity and Relation Embeddings for Knowledge Resolution
Hailun Lin, Yong Liu*, Weiping Wang, Yinliang Yue, Zheng Lin. Procedia Computer Science, 108:345-354, 2017

Preventing Over-Fitting of Cross-Validation with Kernel Stability
Yong Liu, Shizhong Liao. Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML), 290-305, 2014

Kernel Selection with Spectral Perturbation Stability of Kernel Matrix
Yong Liu, Shizhong Liao. Science China Information Sciences 57(11):1-10, 2014

Error Analysis for Vector-Valued Regularized Least-Squares Algorithm
Yong Liu, Shizhong Liao. Proceedings on the International Conference on Artificial Intelligence (ICAI), 2014

Eigenvalues Perturbation of Integral Operator for Kernel Selection
Yong Liu, Shali Jiang, Shizhong Liao. Proceedings of the 22nd ACM international Conference on Information and Knowledge Management (CIKM), 2189-2198, 2013

An Explicit Description of the Extended Gaussian Kernel
Yong Liu, Shizhong Liao. Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining, 88-99, 2012 (Best Paper)

Learning Kernels with Upper Bounds of Leave-One-Out error
Yong Liu, Shizhong Liao, Yuexian Hou. Proceedings of the 20th ACM international Conference on Information and Knowledge Management (CIKM), 2205-2208, 2011

An Error Bound for Eigenvalues of Graph Laplacian with Bounded Kernel Function
Yong Liu, Shizhong Liao. Proceedings of Seventh International Conference on Computational Intelligence and Security (CIS), 435-440, 2011

Kernel Construction via Generalized Eigenvector Decomposition
Yong Liu, Shizhong Liao. Foundations of Intelligent Systems, 191-200, 2011

基于近似高斯核显式描述的大规模SVM求解
刘勇, 江沙里, 廖士中. 计算机研究与发展, 51(10):2171-2177, 2014

基于积分算子空间显式描述的框架核选择方法
刘勇, 廖士中. 中国科学:信息科学, 46(2):165-178, 2016

基于支持向量机泛化误差界的多核学习方法
刘勇, 廖士中. 武汉大学学报(理学版), 58(2), 2012