Ding, Lizhong

12 publications

NeurIPS 2025 Generalization Bounds for Kolmogorov-Arnold Networks (KANs) and Enhanced KANs with Lower Lipschitz Complexity Pengqi Li, Lizhong Ding, Jiarun Fu, ChunhuiZhang, Guoren Wang, Ye Yuan

NeurIPS 2025 Towards Multi-Table Learning: A Novel Paradigm for Complementarity Quantification and Integration Junyu Zhang, Lizhong Ding, MinghongZhang, Ye Yuan, Xingcan Li, Pengqi Li, Tihang Xi, Guoren Wang, Changsheng Li

AAAI 2022 SAIL: Self-Augmented Graph Contrastive Learning Lu Yu, Shichao Pei, Lizhong Ding, Jun Zhou, Longfei Li, Chuxu Zhang, Xiangliang Zhang

AAAI 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

IJCAI 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

AAAI 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

NeurIPS 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

IJCAI 2018 Fast Cross-Validation Yong Liu, Hailun Lin, Lizhong Ding, Weiping Wang, Shizhong Liao

NeurIPS 2018 Multi-Class Learning: From Theory to Algorithm Jian Li, Yong Liu, Rong Yin, Hua Zhang, Lizhong Ding, Weiping Wang

AAAI 2018 Randomized Kernel Selection with Spectra of Multilevel Circulant Matrices Lizhong Ding, Shizhong Liao, Yong Liu, Peng Yang, Xin Gao

ECML-PKDD 2014 Approximate Consistency: Towards Foundations of Approximate Kernel Selection Lizhong Ding, Shizhong Liao

ACML 2011 Approximate Model Selection for Large Scale LSSVM Lizhong Ding, Shizhong Liao