Xiang Li

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