Xiang Li - RankMe

40 papers A* 13A 2C 2Journal 15Unranked 8

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Secure and fast asynchronous Vertical Federated Learning via cascaded hybrid optimization. Mach. Learn. Ganyu Wang, Qingsong Zhang, Xiang Li, Boyu Wang, Bin Gu, Charles X. Ling
2023	A*	`conf`	A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning. NeurIPS Ganyu Wang, Bin Gu, Qingsong Zhang, Xiang Li, Boyu Wang, Charles X. Ling
2023	J	`jnl`	Kernel Path for ν-Support Vector Classification. IEEE Trans. Neural Networks Learn. Syst. Bin Gu, Ziran Xiong, Xiang Li, Zhou Zhai, Guansheng Zheng
2022	J	`jnl`	Large-Scale Nonlinear AUC Maximization via Triply Stochastic Gradients. IEEE Trans. Pattern Anal. Mach. Intell. Zhiyuan Dang, Xiang Li, Bin Gu, Cheng Deng, Heng Huang
2022	A	`conf`	Towards Fairer Classifier via True Fairness Score Path. CIKM Bin Gu, Zhou Zhai, Xiang Li, Heng Huang
2021	A*	`conf`	Finding Age Path of Self-Paced Learning. ICDM Bin Gu, Zhou Zhai, Xiang Li, Heng Huang
2021	J	`jnl`	Scalable Kernel Ordinal Regression via Doubly Stochastic Gradients. IEEE Trans. Neural Networks Learn. Syst. Bin Gu, Xiang Geng, Xiang Li, Wanli Shi, Guansheng Zheng, Cheng Deng, Heng Huang
2021	J	`jnl`	Triply stochastic gradient method for large-scale nonlinear similar unlabeled classification. Mach. Learn. Wanli Shi, Bin Gu, Xiang Li, Cheng Deng, Heng Huang
2020	A*	`conf`	Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data. KDD Bin Gu, Zhiyuan Dang, Xiang Li, Heng Huang
2020	J	`jnl`	Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data. CoRR Bin Gu, Zhiyuan Dang, Xiang Li, Heng Huang
2020	A*	`conf`	Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization. AAAI Wanli Shi, Bin Gu, Xiang Li, Heng Huang
2020	A*	`conf`	Safe Sample Screening for Robust Support Vector Machine. AAAI Zhou Zhai, Bin Gu, Xiang Li, Heng Huang
2020	A*	`conf`	Semi-Supervised Multi-Label Learning from Crowds via Deep Sequential Generative Model. KDD Wanli Shi, Victor S. Sheng, Xiang Li, Bin Gu
2019	J	`jnl`	Efficient inexact proximal gradient algorithms for structured sparsity-inducing norm. Neural Networks Bin Gu, Xiang Geng, Xiang Li, Guansheng Zheng
2019	J	`jnl`	Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization. CoRR Wanli Shi, Bin Gu, Xiang Li, Heng Huang
2019	A*	`conf`	Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization. IJCAI Wanli Shi, Bin Gu, Xiang Li, Xiang Geng, Heng Huang
2019	J	`jnl`	Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization. CoRR Wanli Shi, Bin Gu, Xiang Li, Xiang Geng, Heng Huang
2019	J	`jnl`	Safe Sample Screening for Robust Support Vector Machine. CoRR Zhou Zhai, Bin Gu, Xiang Li, Heng Huang
2019	A*	`conf`	Scalable Semi-Supervised SVM via Triply Stochastic Gradients. IJCAI Xiang Geng, Bin Gu, Xiang Li, Wanli Shi, Guansheng Zheng, Heng Huang
2019	J	`jnl`	Scalable Semi-Supervised SVM via Triply Stochastic Gradients. CoRR Xiang Geng, Bin Gu, Xiang Li, Wanli Shi, Guansheng Zheng, Heng Huang
2018	A*	`conf`	Faster Training Algorithms for Structured Sparsity-Inducing Norm. IJCAI Bin Gu, Xingwang Ju, Xiang Li, Guansheng Zheng
2018	—	`conf`	Pelee: A Real-Time Object Detection System on Mobile Devices. ICLR (Workshop) Robert J. Wang, Xiang Li, Shuang Ao, Charles X. Ling
2018	A*	`conf`	Pelee: A Real-Time Object Detection System on Mobile Devices. NeurIPS Robert J. Wang, Xiang Li, Charles X. Ling
2018	J	`jnl`	Pelee: A Real-Time Object Detection System on Mobile Devices. CoRR Robert J. Wang, Xiang Li, Shuang Ao, Charles X. Ling
2018	J	`jnl`	The convergence of linear classifiers on large sparse data. Neurocomputing Xiang Li, Huaimin Wang, Bin Gu, Charles X. Ling
2017	—	`conf`	Effective Multiclass Transfer for Hypothesis Transfer Learning. PAKDD (2) Shuang Ao, Xiang Li, Charles X. Ling
2017	A*	`conf`	Fast Generalized Distillation for Semi-Supervised Domain Adaptation. AAAI Shuang Ao, Xiang Li, Charles X. Ling
2017	A	`conf`	Triply Stochastic Gradients on Multiple Kernel Learning. UAI Xiang Li, Bin Gu, Shuang Ao, Huaimin Wang, Charles X. Ling
2016	J	`jnl`	The Convergence Behavior of Naive Bayes on Large Sparse Datasets. ACM Trans. Knowl. Discov. Data Xiang Li, Charles X. Ling, Huaimin Wang
2015	A*	`conf`	Data Sparseness in Linear SVM. IJCAI Xiang Li, Huaimin Wang, Bin Gu, Charles X. Ling
2015	A*	`conf`	The Convergence Behavior of Naive Bayes on Large Sparse Datasets. ICDM Xiang Li, Charles X. Ling, Huaimin Wang
2014	J	`jnl`	Hierarchical Categorization of Open Source Software by Online Profiles. IEICE Trans. Inf. Syst. Tao Wang, Huaimin Wang, Gang Yin, Cheng Yang, Xiang Li, Peng Zou
2013	C	`conf`	HESA: The Construction and Evaluation of Hierarchical Software Feature Repository. SEKE Yue Yu, Huaimin Wang, Gang Yin, Xiang Li, Cheng Yang
2013	—	`conf`	Mining Software Profile across Multiple Repositories for Hierarchical Categorization. ICSM Tao Wang, Huaimin Wang, Gang Yin, Charles X. Ling, Xiang Li, Peng Zou
2012	—	`conf`	Exploiting Attribute Redundancy in Extracting Open Source Forge Websites. CyberC Xiang Li, Yanxu Zhu, Gang Yin, Tao Wang, Huaimin Wang
2012	C	`conf`	Inducing Taxonomy from Tags: An Agglomerative Hierarchical Clustering Framework. ADMA Xiang Li, Huaimin Wang, Gang Yin, Tao Wang, Cheng Yang, Yue Yu, Dengqing Tang
2012	—	`conf`	Labeled topic detection of open source software from mining mass textual project profiles. SoftwareMining@KDD Tao Wang, Gang Yin, Xiang Li, Huaimin Wang
2011	—	`conf`	An Indent Shape Based Approach for Web Lists Mining. WISM (2) Yanxu Zhu, Gang Yin, Huaimin Wang, Dianxi Shi, Xiang Li, Lin Yuan
2011	—	`conf`	Exploiting Attribute Redundancy for Web Entity Data Extraction. ICADL Yanxu Zhu, Gang Yin, Xiang Li, Huaimin Wang, Dianxi Shi, Lin Yuan
2010	—	`conf`	Mining Frequent Development Patterns of roles in Open Source Software. UIC/ATC Workshops Lin Yuan, Huaimin Wang, Gang Yin, Dianxi Shi, Xiang Li, Bixin Liu