Mining Frequent Development Patterns of roles in Open Source Software. - Lin Yuan; Huaimin Wang; Gang Yin; Dianxi Shi; Xiang Li 012; Bixin Liu (UIC/ATC Workshops, 2010)

Exploiting Attribute Redundancy for Web Entity Data Extraction. - Yanxu Zhu; Gang Yin; Xiang Li 012; Huaimin Wang; Dianxi Shi; Lin Yuan (ICADL, 2011)

An Indent Shape Based Approach for Web Lists Mining. - Yanxu Zhu; Gang Yin; Huaimin Wang; Dianxi Shi; Xiang Li 012; Lin Yuan (WISM (2), 2011)

Inducing Taxonomy from Tags: An Agglomerative Hierarchical Clustering Framework. - Xiang Li 012; Huaimin Wang; Gang Yin; Tao Wang 006; Cheng Yang 004; Yue Yu 001; Dengqing Tang (ADMA, 2012)

Exploiting Attribute Redundancy in Extracting Open Source Forge Websites. - Xiang Li 012; Yanxu Zhu; Gang Yin; Tao Wang 006; Huaimin Wang (CyberC, 2012)

Labeled topic detection of open source software from mining mass textual project profiles. - Tao Wang 006; Gang Yin; Xiang Li 012; Huaimin Wang (Software Mining, 2012)

Mining Software Profile across Multiple Repositories for Hierarchical Categorization. - Tao Wang 006; Huaimin Wang; Gang Yin; Charles X. Ling; Xiang Li 012; Peng Zou (ICSM, 2013)

HESA: The Construction and Evaluation of Hierarchical Software Feature Repository. - Yue Yu 001; Huaimin Wang; Gang Yin; Xiang Li 012; Cheng Yang 004 (SEKE, 2013)

Hierarchical Categorization of Open Source Software by Online Profiles. - Tao Wang 006; Huaimin Wang; Gang Yin; Cheng Yang 004; Xiang Li 012; Peng Zou (IEICE Trans. Inf. Syst., 2014)

Data Sparseness in Linear SVM. - Xiang Li 012; Huaimin Wang; Bin Gu 001; Charles X. Ling (IJCAI, 2015)

The Convergence Behavior of Naive Bayes on Large Sparse Datasets. - Xiang Li 012; Charles X. Ling; Huaimin Wang (ACM Trans. Knowl. Discov. Data, 2016)

Fast Generalized Distillation for Semi-Supervised Domain Adaptation. - Shuang Ao; Xiang Li 012; Charles X. Ling (AAAI, 2017)

Effective Multiclass Transfer for Hypothesis Transfer Learning. - Shuang Ao; Xiang Li 012; Charles X. Ling (PAKDD (2), 2017)

Triply Stochastic Gradients on Multiple Kernel Learning. - Xiang Li 012; Bin Gu 001; Shuang Ao; Huaimin Wang; Charles X. Ling (UAI, 2017)

Pelee: A Real-Time Object Detection System on Mobile Devices. - Robert J. Wang; Xiang Li 012; Shuang Ao; Charles X. Ling (ICLR (Workshop), 2018)

Faster Training Algorithms for Structured Sparsity-Inducing Norm. - Bin Gu 001; Xingwang Ju; Xiang Li 012; Guansheng Zheng (IJCAI, 2018)

Pelee: A Real-Time Object Detection System on Mobile Devices. - Robert J. Wang; Xiang Li 012; Charles X. Ling (NeurIPS, 2018)

The convergence of linear classifiers on large sparse data. - Xiang Li 012; Huaimin Wang; Bin Gu 001; Charles X. Ling (Neurocomputing, 2018)

Scalable Semi-Supervised SVM via Triply Stochastic Gradients. - Xiang Geng; Bin Gu 001; Xiang Li 012; Wanli Shi; Guansheng Zheng; Heng Huang (IJCAI, 2019)

Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization. - Wanli Shi; Bin Gu 001; Xiang Li 012; Xiang Geng; Heng Huang (IJCAI, 2019)

Efficient inexact proximal gradient algorithms for structured sparsity-inducing norm. - Bin Gu 001; Xiang Geng; Xiang Li 012; Guansheng Zheng (Neural Networks, 2019)

Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization. - Wanli Shi; Bin Gu 001; Xiang Li 012; Heng Huang (AAAI, 2020)

Safe Sample Screening for Robust Support Vector Machine. - Zhou Zhai; Bin Gu 001; Xiang Li 012; Heng Huang (AAAI, 2020)

Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data. - Bin Gu 001; Zhiyuan Dang; Xiang Li 012; Heng Huang (KDD, 2020)

Semi-Supervised Multi-Label Learning from Crowds via Deep Sequential Generative Model. - Wanli Shi; Victor S. Sheng; Xiang Li 012; Bin Gu 001 (KDD, 2020)

Finding Age Path of Self-Paced Learning. - Bin Gu 001; Zhou Zhai; Xiang Li 012; Heng Huang (ICDM, 2021)

Triply stochastic gradient method for large-scale nonlinear similar unlabeled classification. - Wanli Shi; Bin Gu 001; Xiang Li 012; Cheng Deng; Heng Huang (Mach. Learn., 2021)

Scalable Kernel Ordinal Regression via Doubly Stochastic Gradients. - Bin Gu 001; Xiang Geng; Xiang Li 012; Wanli Shi; Guansheng Zheng; Cheng Deng; Heng Huang (IEEE Trans. Neural Networks Learn. Syst., 2021)

Towards Fairer Classifier via True Fairness Score Path. - Bin Gu 001; Zhou Zhai; Xiang Li 012; Heng Huang (CIKM, 2022)

Large-Scale Nonlinear AUC Maximization via Triply Stochastic Gradients. - Zhiyuan Dang; Xiang Li 012; Bin Gu 001; Cheng Deng; Heng Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning. - Ganyu Wang; Bin Gu 001; Qingsong Zhang; Xiang Li 012; Boyu Wang 004; Charles X. Ling (NeurIPS, 2023)

Kernel Path for ν-Support Vector Classification. - Bin Gu 001; Ziran Xiong; Xiang Li 012; Zhou Zhai; Guansheng Zheng (IEEE Trans. Neural Networks Learn. Syst., 2023)

Secure and fast asynchronous Vertical Federated Learning via cascaded hybrid optimization. - Ganyu Wang; Qingsong Zhang; Xiang Li 012; Boyu Wang 004; Bin Gu 001; Charles X. Ling (Mach. Learn., 2024)