Xiang Li

发表

Advanced Data Mining and Applications (ADMA)

Xiang Li, Changjie Tang, Charles X. Ling, 2008, ADMA 2008.

Towards Fairer Classifier via True Fairness Score Path

Bin Gu, Heng Huang, Xiang Li, 2022, CIKM.

Safe Sample Screening for Robust Support Vector Machine

Xiang Li, Heng Huang, Bin Gu, 2019, AAAI.

Pelee: A Real-Time Object Detection System on Mobile Devices

Charles X. Ling, Xiang Li, Robert J. Wang, 2018, NeurIPS.

Scalable Semi-Supervised SVM via Triply Stochastic Gradients

Bin Gu, Xiang Li, Wanli Shi, 2019, IJCAI.

Semi-Supervised Multi-Label Learning from Crowds via Deep Sequential Generative Model

Victor S. Sheng, Bin Gu, Wanli Shi, 2020, KDD.

Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data

Xiang Li, Heng Huang, Bin Gu, 2020, KDD.

Fast Generalized Distillation for Semi-Supervised Domain Adaptation

Charles X. Ling, Xiang Li, Shuang Ao, 2017, AAAI.

The Convergence Behavior of Naive Bayes on Large Sparse Datasets

Huaimin Wang, Charles X. Ling, Xiang Li, 2015, 2015 IEEE International Conference on Data Mining.

Classification with Large Sparse Datasets: Convergence Analysis and Scalable Algorithms

Xiang Li, Xiang Li, 2017 .

Scalable Kernel Ordinal Regression via Doubly Stochastic Gradients

Xiang Li, Cheng Deng, Xiang Geng, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Data Sparseness in Linear SVM

Bin Gu, Huaimin Wang, Charles X. Ling, 2015, IJCAI.

Triply Stochastic Gradients on Multiple Kernel Learning

Bin Gu, Huaimin Wang, Charles X. Ling, 2017, UAI.

Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization

Bin Gu, Heng Huang, Xiang Li, 2019, IJCAI.

Triply stochastic gradient method for large-scale nonlinear similar unlabeled classification

Cheng Deng, Heng Huang, Bin Gu, 2021, Machine Learning.

Effective Multiclass Transfer for Hypothesis Transfer Learning

Charles X. Ling, Xiang Li, Shuang Ao, 2017, PAKDD.

High-Performance Machine Learning for Large-Scale Data Classification considering Class Imbalance

Yang Liu, Xi Wang, Huaqiang Li, 2020, Sci. Program..

The convergence of linear classifiers on large sparse data

Bin Gu, Huaimin Wang, Charles X. Ling, 2018, Neurocomputing.

Efficient inexact proximal gradient algorithms for structured sparsity-inducing norm

Xiang Geng, Bin Gu, Xiang Li, 2019, Neural Networks.

Faster Training Algorithms for Structured Sparsity-Inducing Norm

Bin Gu, Xiang Li, Guansheng Zheng, 2018, IJCAI.