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ORCIDLizhong Ding 0001
Person information
- affiliation: Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates
- affiliation: King Abdullah University of Science and Technology, Computational Bioscience Research Center, Thuwal, Saudia Arabia
- affiliation (PhD 2015): Tianjin University, School of Computer Science and Technology, Tianjin, China
Other persons with the same name
- Lizhong Ding 0002 — Indiana State University, Department of Biology, Terre Haute, IN, USA
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2020 – today
- 2022
[c13]Lu Yu, Shichao Pei, Lizhong Ding, Jun Zhou, Longfei Li, Chuxu Zhang, Xiangliang Zhang:
SAIL: Self-Augmented Graph Contrastive Learning. AAAI 2022: 8927-8935- 2020
- [j7]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): 1083-1096 (2020) - [j6]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): 4881-4891 (2020) - [i9]Yilin Kang, Yong Liu, Lizhong Ding, Xinwang Liu, Xinyi Tong, Weiping Wang:
Differentially Private ERM Based on Data Perturbation. CoRR abs/2002.08578 (2020) - [i8]Yong Liu, Lizhong Ding, Weiping Wang:
Theoretical Analysis of Divide-and-Conquer ERM: Beyond Square Loss and RKHS. CoRR abs/2003.03882 (2020) - [i7]Yong Liu, Lizhong Ding, Weiping Wang:
Nearly Optimal Clustering Risk Bounds for Kernel K-Means. CoRR abs/2003.03888 (2020) - [i6]Lu Yu, Shichao Pei, Chuxu Zhang, Lizhong Ding, Jun Zhou, Longfei Li, Xiangliang Zhang:
Self-supervised Smoothing Graph Neural Networks. CoRR abs/2009.00934 (2020)
2010 – 2019
- 2019
- [j5]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): 2634-2643 (2019) - [c12]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: 3454-3461 - [c11]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: 3462-3469 - [c10]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: 996-1002 - [c9]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: 11257-11268 - [i5]Yong Liu, Jian Li, Guangjun Wu, Lizhong Ding, Weiping Wang:
Efficient Cross-Validation for Semi-Supervised Learning. CoRR abs/1902.04768 (2019) - [i4]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 abs/1903.00342 (2019) - [i3]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 abs/1905.10955 (2019) - 2018
- [c8]Lizhong Ding, Shizhong Liao, Yong Liu, Peng Yang, Xin Gao:
Randomized Kernel Selection With Spectra of Multilevel Circulant Matrices. AAAI 2018: 2910-2917 - [c7]Yong Liu, Hailun Lin, Lizhong Ding, Weiping Wang, Shizhong Liao:
Fast Cross-Validation. IJCAI 2018: 2497-2503 - [c6]Jian Li, Yong Liu, Rong Yin, Hua Zhang, Lizhong Ding, Weiping Wang:
Multi-Class Learning: From Theory to Algorithm. NeurIPS 2018: 1593-1602 - [c5]Peng Yang, Peilin Zhao, Vincent W. Zheng, Lizhong Ding, Xin Gao:
Robust Asymmetric Recommendation via Min-Max Optimization. SIGIR 2018: 1077-1080 - [i2]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 abs/1806.02942 (2018) - [i1]Yu Li, Lizhong Ding, Xin Gao:
On the Decision Boundary of Deep Neural Networks. CoRR abs/1808.05385 (2018) - 2017
- [j4]Jiangang Wu, Lizhong Ding, Shizhong Liao:
Predictive Nyström method for kernel methods. Neurocomputing 234: 116-125 (2017) - [j3]Lizhong Ding, Shizhong Liao:
An Approximate Approach to Automatic Kernel Selection. IEEE Trans. Cybern. 47(3): 554-565 (2017) - 2014
- [c4]Lizhong Ding, Shizhong Liao:
Model Selection with the Covering Number of the Ball of RKHS. CIKM 2014: 1159-1168 - [c3]Lizhong Ding, Shizhong Liao:
Approximate Consistency: Towards Foundations of Approximate Kernel Selection. ECML/PKDD (1) 2014: 354-369 - 2012
- [j2]Chenhao Yang, Lizhong Ding, Shizhong Liao:
Parameter Tuning via Kernel Matrix Approximation for Support Vector Machine. J. Comput. 7(8): 2047-2054 (2012) - [c2]Lizhong Ding, Shizhong Liao:
Nyström Approximate Model Selection for LSSVM. PAKDD (1) 2012: 282-293 - 2011
- [c1]Lizhong Ding, Shizhong Liao:
Approximate Model Selection for Large Scale LSSVM. ACML 2011: 165-180 - 2010
- [j1]Lei Jia, Shizhong Liao, Li-Zhong Ding:
Learning with Uncertain Kernel Matrix Set. J. Comput. Sci. Technol. 25(4): 709-727 (2010)
Coauthor Index
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