Lizhong Ding - RankMe

29 papers A* 10A 1C 1Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Put the Space of LoRA Initialization to the Extreme to Preserve Pre-trained Knowledge. AAAI Pengwei Tang, Xiaolin Hu, Yong Liu, Lizhong Ding, Dongjie Zhang, Xing Wu, Debing Zhang
2022	A*	`conf`	SAIL: Self-Augmented Graph Contrastive Learning. AAAI Lu Yu, Shichao Pei, Lizhong Ding, Jun Zhou, Longfei Li, Chuxu Zhang, Xiangliang Zhang
2020	J	`jnl`	Approximate Kernel Selection via Matrix Approximation. IEEE Trans. Neural Networks Learn. Syst. Lizhong Ding, Shizhong Liao, Yong Liu, Li Liu, Fan Zhu, Yazhou Yao, Ling Shao, Xin Gao
2020	J	`jnl`	Differentially Private ERM Based on Data Perturbation. CoRR Yilin Kang, Yong Liu, Lizhong Ding, Xinwang Liu, Xinyi Tong, Weiping Wang
2020	J	`jnl`	Fast Cross-Validation for Kernel-Based Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. Yong Liu, Shizhong Liao, Shali Jiang, Lizhong Ding, Hailun Lin, Weiping Wang
2020	J	`jnl`	Nearly Optimal Clustering Risk Bounds for Kernel K-Means. CoRR Yong Liu, Lizhong Ding, Weiping Wang
2020	J	`jnl`	Self-supervised Smoothing Graph Neural Networks. CoRR Lu Yu, Shichao Pei, Chuxu Zhang, Lizhong Ding, Jun Zhou, Longfei Li, Xiangliang Zhang
2020	J	`jnl`	Theoretical Analysis of Divide-and-Conquer ERM: Beyond Square Loss and RKHS. CoRR Yong Liu, Lizhong Ding, Weiping Wang
2019	A*	`conf`	Approximate Kernel Selection with Strong Approximate Consistency. AAAI Lizhong Ding, Yong Liu, Shizhong Liao, Yu Li, Peng Yang, Yijie Pan, Chao Huang, Ling Shao, Xin Gao
2019	J	`jnl`	Deep learning in bioinformatics: introduction, application, and perspective in big data era. CoRR Yu Li, Chao Huang, Lizhong Ding, Zhongxiao Li, Yijie Pan, Xin Gao
2019	A*	`conf`	Dynamically Visual Disambiguation of Keyword-based Image Search. IJCAI Yazhou Yao, Zeren Sun, Fumin Shen, Li Liu, Limin Wang, Fan Zhu, Lizhong Ding, Gangshan Wu, Ling Shao
2019	J	`jnl`	Dynamically Visual Disambiguation of Keyword-based Image Search. CoRR Yazhou Yao, Zeren Sun, Fumin Shen, Li Liu, Limin Wang, Fan Zhu, Lizhong Ding, Gangshan Wu, Ling Shao
2019	J	`jnl`	Efficient Cross-Validation for Semi-Supervised Learning. CoRR Yong Liu, Jian Li, Guangjun Wu, Lizhong Ding, Weiping Wang
2019	A*	`conf`	Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data. AAAI Lizhong Ding, Zhi Liu, Yu Li, Shizhong Liao, Yong Liu, Peng Yang, Ge Yu, Ling Shao, Xin Gao
2019	J	`jnl`	Systematic selection of chemical fingerprint features improves the Gibbs energy prediction of biochemical reactions. Bioinform. Meshari Alazmi, Hiroyuki Kuwahara, Othman Soufan, Lizhong Ding, Xin Gao
2019	A*	`conf`	Two Generator Game: Learning to Sample via Linear Goodness-of-Fit Test. NeurIPS Lizhong Ding, Mengyang Yu, Li Liu, Fan Zhu, Yong Liu, Yu Li, Ling Shao
2018	A*	`conf`	Fast Cross-Validation. IJCAI Yong Liu, Hailun Lin, Lizhong Ding, Weiping Wang, Shizhong Liao
2018	A*	`conf`	Multi-Class Learning: From Theory to Algorithm. NeurIPS Jian Li, Yong Liu, Rong Yin, Hua Zhang, Lizhong Ding, Weiping Wang
2018	J	`jnl`	On the Decision Boundary of Deep Neural Networks. CoRR Yu Li, Lizhong Ding, Xin Gao
2018	A*	`conf`	Randomized Kernel Selection With Spectra of Multilevel Circulant Matrices. AAAI Lizhong Ding, Shizhong Liao, Yong Liu, Peng Yang, Xin Gao
2018	A*	`conf`	Robust Asymmetric Recommendation via Min-Max Optimization. SIGIR Peng Yang, Peilin Zhao, Vincent W. Zheng, Lizhong Ding, Xin Gao
2018	J	`jnl`	SupportNet: solving catastrophic forgetting in class incremental learning with support data. CoRR Yu Li, Zhongxiao Li, Lizhong Ding, Peng Yang, Yuhui Hu, Wei Chen, Xin Gao
2017	J	`jnl`	An Approximate Approach to Automatic Kernel Selection. IEEE Trans. Cybern. Lizhong Ding, Shizhong Liao
2017	J	`jnl`	Predictive Nyström method for kernel methods. Neurocomputing Jiangang Wu, Lizhong Ding, Shizhong Liao
2014	—	`conf`	Approximate Consistency: Towards Foundations of Approximate Kernel Selection. ECML/PKDD (1) Lizhong Ding, Shizhong Liao
2014	A	`conf`	Model Selection with the Covering Number of the Ball of RKHS. CIKM Lizhong Ding, Shizhong Liao
2012	—	`conf`	Nyström Approximate Model Selection for LSSVM. PAKDD (1) Lizhong Ding, Shizhong Liao
2012	J	`jnl`	Parameter Tuning via Kernel Matrix Approximation for Support Vector Machine. J. Comput. Chenhao Yang, Lizhong Ding, Shizhong Liao
2011	C	`conf`	Approximate Model Selection for Large Scale LSSVM. ACML Lizhong Ding, Shizhong Liao