Publications (Google Scholar Profile)

Sketch Kernel Ridge Regression using Circulant Matrix: Algorithm and Theory
Yin Rong, Yong Liu*, Weiping Wang, Dan Meng. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019 (CCF A, SCI Q1, Top)

Two Generator Game: Learning to Sample via Linear Goodness-of-Fit Test
Lizhong Ding, Mengyang Yu, Li Liu, Fan Zhu, Yong Liu, Yu Li, Ling Shao. Advances in Neural Information Processing Systems 32 (NIPS), 2019 (CCF A)

Kernel Stability for Model Selection in Kernel-based Algorithms
Yong Liu, Shizhong Liao, Hua Zhang, Wenqi Ren, Weiping Wang. IEEE Transactions Cybernetics, 2019. (CCF B, SCI Q1, Top)

Distributed Learning with Random Features
Jian Li, Yong Liu*, Weiping Wang. arXiv, 2019.

Multi-Class Learning using Unlabeled Samples: Theory and Algorithm
Jian Li, Yong Liu*, Rong Yin, Weiping Wang. Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019 (CCF A)

Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis
Jian Li, Yong Liu*, Rong Yin, Weiping Wang. Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019 (CCF A)

Accelerating Real-Time Tracking Applications over Big Data Stream with Constrained Space
Guangjun Wu, Xiaochun Yun, Shupeng Wang, Ge Fu, Chao Li, Yong Liu, Binbin Li, Yong Wang, Zhihui Zhao. Proceedings of the 24th International Conference on Database Systems for Advanced Applications (DASFAA), 2019: 3-18

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 (CCF A)

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. (CCF A, SCI Q1, Top)

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. (CCF A)

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 (CCF A)

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 (CCF A)

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 (CCF A)

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. (CCF A)

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 (CCF A)

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 (CCF A)

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. (CCF A)

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. (CCF A)

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 (CCF A)

Granularity Selection for Cross-Validation of SVM
Yong Liu, Shizhong Liao. Information Sciences, 378:475-483, 2017 (CCF B, SCI Q2)

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 (CCF B)

Kernel Selection with Spectral Perturbation Stability of Kernel Matrix
Yong Liu, Shizhong Liao. Science China Information Sciences 57(11):1-10, 2014 (CCF B, SCI Q4)

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 (CCF B)

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 (CCF B)

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 (CCF A 中文期刊)

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 (CCF A 中文期刊)

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