Lizhong Ding

Publication Activity (10 Years)

Years Active: 2011-2022
Publications (10 Years): 23

Top Topics

Top Venues

Publications

Lu Yu, Shichao Pei, Lizhong Ding, Jun Zhou, Longfei Li, Chuxu Zhang, Xiangliang Zhang
SAIL: Self-Augmented Graph Contrastive Learning. AAAI (2022)
Yong Liu, Shizhong Liao, Shali Jiang, Lizhong Ding, Hailun Lin, Weiping Wang
Fast Cross-Validation for Kernel-Based Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 42 (5) (2020)
Lizhong Ding, Shizhong Liao, Yong Liu, Li Liu, Fan Zhu, Yazhou Yao, Ling Shao, Xin Gao
Approximate Kernel Selection via Matrix Approximation. IEEE Trans. Neural Networks Learn. Syst. 31 (11) (2020)
Yong Liu, Lizhong Ding, Weiping Wang
Theoretical Analysis of Divide-and-Conquer ERM: Beyond Square Loss and RKHS. CoRR (2020)
Yong Liu, Lizhong Ding, Hua Zhang, Wenqi Ren, Xiao Zhang, Shali Jiang, Xinwang Liu, Weiping Wang
Nearly Optimal Risk Bounds for Kernel K-Means. CoRR (2020)
Lu Yu, Shichao Pei, Chuxu Zhang, Lizhong Ding, Jun Zhou, Longfei Li, Xiangliang Zhang
Self-supervised Smoothing Graph Neural Networks. CoRR (2020)
Yilin Kang, Yong Liu, Lizhong Ding, Xinwang Liu, Xinyi Tong, Weiping Wang
Differentially Private ERM Based on Data Perturbation. CoRR (2020)
Yu Li, Chao Huang, Lizhong Ding, Zhongxiao Li, Yijie Pan, Xin Gao
Deep learning in bioinformatics: introduction, application, and perspective in big data era. CoRR (2019)
Lizhong Ding, Mengyang Yu, Li Liu, Fan Zhu, Yong Liu, Yu Li, Ling Shao
Two Generator Game: Learning to Sample via Linear Goodness-of-Fit Test. NeurIPS (2019)
Lizhong Ding, Zhi Liu, Yu Li, Shizhong Liao, Yong Liu, Peng Yang, Ge Yu, Ling Shao, Xin Gao
Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data. AAAI (2019)
Meshari Alazmi, Hiroyuki Kuwahara, Othman Soufan, Lizhong Ding, Xin Gao
Systematic selection of chemical fingerprint features improves the Gibbs energy prediction of biochemical reactions. Bioinform. 35 (15) (2019)
Lizhong Ding, Yong Liu, Shizhong Liao, Yu Li, Peng Yang, Yijie Pan, Chao Huang, Ling Shao, Xin Gao
Approximate Kernel Selection with Strong Approximate Consistency. AAAI (2019)
Yazhou Yao, Zeren Sun, Fumin Shen, Li Liu, Limin Wang, Fan Zhu, Lizhong Ding, Gangshan Wu, Ling Shao
Dynamically Visual Disambiguation of Keyword-based Image Search. IJCAI (2019)
Yazhou Yao, Zeren Sun, Fumin Shen, Li Liu, Limin Wang, Fan Zhu, Lizhong Ding, Gangshan Wu, Ling Shao
Dynamically Visual Disambiguation of Keyword-based Image Search. CoRR (2019)
Yong Liu, Jian Li, Guangjun Wu, Lizhong Ding, Weiping Wang
Efficient Cross-Validation for Semi-Supervised Learning. CoRR (2019)
Yong Liu, Hailun Lin, Lizhong Ding, Weiping Wang, Shizhong Liao
Fast Cross-Validation. IJCAI (2018)
Lizhong Ding, Shizhong Liao, Yong Liu, Peng Yang, Xin Gao
Randomized Kernel Selection With Spectra of Multilevel Circulant Matrices. AAAI (2018)
Yu Li, Lizhong Ding, Xin Gao
On the Decision Boundary of Deep Neural Networks. CoRR (2018)
Peng Yang, Peilin Zhao, Vincent W. Zheng, Lizhong Ding, Xin Gao
Robust Asymmetric Recommendation via Min-Max Optimization. SIGIR (2018)
Yu Li, Zhongxiao Li, Lizhong Ding, Peng Yang, Yuhui Hu, Wei Chen, Xin Gao
SupportNet: solving catastrophic forgetting in class incremental learning with support data. CoRR (2018)
Jian Li, Yong Liu, Rong Yin, Hua Zhang, Lizhong Ding, Weiping Wang
Multi-Class Learning: From Theory to Algorithm. NeurIPS (2018)
Jiangang Wu, Lizhong Ding, Shizhong Liao
Predictive Nyström method for kernel methods. Neurocomputing 234 (2017)
Lizhong Ding, Shizhong Liao
An Approximate Approach to Automatic Kernel Selection. IEEE Trans. Cybern. 47 (3) (2017)
Lizhong Ding, Shizhong Liao
Approximate Consistency: Towards Foundations of Approximate Kernel Selection. ECML/PKDD (1) (2014)
Lizhong Ding, Shizhong Liao
Model Selection with the Covering Number of the Ball of RKHS. CIKM (2014)
Lizhong Ding, Shizhong Liao
Nyström Approximate Model Selection for LSSVM. PAKDD (1) (2012)
Chenhao Yang, Lizhong Ding, Shizhong Liao
Parameter Tuning via Kernel Matrix Approximation for Support Vector Machine. J. Comput. 7 (8) (2012)
Lizhong Ding, Shizhong Liao
Approximate Model Selection for Large Scale LSSVM. ACML (2011)