Lizhong Ding

According to our database, Lizhong Ding authored at least 28 papers between 2010 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

SAIL: Self-Augmented Graph Contrastive Learning.

Lu Yu, Shichao Pei, Lizhong Ding, Jun Zhou, Longfei Li, Chuxu Zhang, Xiangliang Zhang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Approximate Kernel Selection via Matrix Approximation.

Lizhong Ding, Shizhong Liao, Yong Liu, Li Liu, Fan Zhu, Yazhou Yao, Ling Shao, Xin Gao

IEEE Trans. Neural Networks Learn. Syst., 2020

Fast Cross-Validation for Kernel-Based Algorithms.

Yong Liu, Shizhong Liao, Shali Jiang, Lizhong Ding, Hailun Lin, Weiping Wang

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Self-supervised Smoothing Graph Neural Networks.

Lu Yu, Shichao Pei, Chuxu Zhang, Lizhong Ding, Jun Zhou, Longfei Li, Xiangliang Zhang

CoRR, 2020

Nearly Optimal Clustering Risk Bounds for Kernel K-Means.

Yong Liu, Lizhong Ding, Weiping Wang

CoRR, 2020

Theoretical Analysis of Divide-and-Conquer ERM: Beyond Square Loss and RKHS.

Yong Liu, Lizhong Ding, Weiping Wang

CoRR, 2020

Differentially Private ERM Based on Data Perturbation.

Yilin Kang, Yong Liu, Lizhong Ding, Xinwang Liu, Xinyi Tong, Weiping Wang

CoRR, 2020

2019

Deep learning in bioinformatics: introduction, application, and perspective in big data era.

Yu Li, Chao Huang, Lizhong Ding, Zhongxiao Li, Yijie Pan, Xin Gao

CoRR, 2019

Efficient Cross-Validation for Semi-Supervised Learning.

Yong Liu, Jian Li, Guangjun Wu, Lizhong Ding, Weiping Wang

CoRR, 2019

Systematic selection of chemical fingerprint features improves the Gibbs energy prediction of biochemical reactions.

Meshari Alazmi, Hiroyuki Kuwahara, Othman Soufan, Lizhong Ding, Xin Gao

Bioinform., 2019

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

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Dynamically Visual Disambiguation of Keyword-based Image Search.

Yazhou Yao, Zeren Sun, Fumin Shen, Li Liu, Limin Wang, Fan Zhu, Lizhong Ding, Gangshan Wu, Ling Shao

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Approximate Kernel Selection with Strong Approximate Consistency.

Lizhong Ding, Yong Liu, Shizhong Liao, Yu Li, Peng Yang, Yijie Pan, Chao Huang, Ling Shao, Xin Gao

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

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 Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

On the Decision Boundary of Deep Neural Networks.

Yu Li, Lizhong Ding, Xin Gao

CoRR, 2018

SupportNet: solving catastrophic forgetting in class incremental learning with support data.

Yu Li, Zhongxiao Li, Lizhong Ding, Peng Yang, Yuhui Hu, Wei Chen, Xin Gao

CoRR, 2018

Robust Asymmetric Recommendation via Min-Max Optimization.

Peng Yang, Peilin Zhao, Vincent W. Zheng, Lizhong Ding, Xin Gao

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Multi-Class Learning: From Theory to Algorithm.

Jian Li, Yong Liu, Rong Yin, Hua Zhang, Lizhong Ding, Weiping Wang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Fast Cross-Validation.

Yong Liu, Hailun Lin, Lizhong Ding, Weiping Wang, Shizhong Liao

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Randomized Kernel Selection With Spectra of Multilevel Circulant Matrices.

Lizhong Ding, Shizhong Liao, Yong Liu, Peng Yang, Xin Gao

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

An Approximate Approach to Automatic Kernel Selection.

Lizhong Ding, Shizhong Liao

IEEE Trans. Cybern., 2017

Predictive Nyström method for kernel methods.

Jiangang Wu, Lizhong Ding, Shizhong Liao

Neurocomputing, 2017

2014

Approximate Consistency: Towards Foundations of Approximate Kernel Selection.

Lizhong Ding, Shizhong Liao

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Model Selection with the Covering Number of the Ball of RKHS.

Lizhong Ding, Shizhong Liao

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2012

Parameter Tuning via Kernel Matrix Approximation for Support Vector Machine.

Chenhao Yang, Lizhong Ding, Shizhong Liao

J. Comput., 2012

Nyström Approximate Model Selection for LSSVM.

Lizhong Ding, Shizhong Liao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

2011

Approximate Model Selection for Large Scale LSSVM.

Lizhong Ding, Shizhong Liao

Proceedings of the 3rd Asian Conference on Machine Learning, 2011

2010

Learning with Uncertain Kernel Matrix Set.

Lei Jia, Shizhong Liao, Li-Zhong Ding

J. Comput. Sci. Technol., 2010