Hong Shan

According to our database, Hong Shan authored at least 15 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Gushing Resolvers: Measuring Open Resolvers' Recursive Behavior.

Chengxi Xu, Yunyi Zhang, Fan Shi, Huimin Ma, Wanmeng Ding, Hong Shan

Proceedings of the 4th International Conference on Advanced Information Science and System, 2022

2020

Optimality Verification of Tensor Completion Model via Self-Validation.

Chunsheng Liu, Hong Shan, Tao Ma, Bin Wang

IEEE Signal Process. Lett., 2020

Tensor <i>p</i>-shrinkage nuclear norm for low-rank tensor completion.

Chunsheng Liu, Hong Shan, Chunlei Chen

Neurocomputing, 2020

Interference Sources Localization and Communication Relationship Inference With Cognitive Radio IoT Networks.

Zhao Niu, Tao Ma, Nina Shu, Hong Shan

IEEE Access, 2020

Identification of Critical Nodes for Enhanced Network Defense in MANET-IoT Networks.

Zhao Niu, Qiang Li, Chunlai Ma, Haozhu Li, Hong Shan, Fang Yang

IEEE Access, 2020

Robust Online Matrix Completion with Gaussian Mixture Model.

Chunsheng Liu, Chunlei Chen, Hong Shan, Bin Wang

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

基于位置信息的移动终端用户异常检测 (Anomaly Detection Method of Mobile Terminal User Based on Location Information).

Zhi Li, Chunlai Ma, Tao Ma, Hong Shan

计算机科学, 2019

Tensor p-shrinkage nuclear norm for low-rank tensor completion.

Chunsheng Liu, Hong Shan, Chunlei Chen

CoRR, 2019

Binary Matrix Completion With Nonconvex Regularizers.

Chunsheng Liu, Hong Shan

IEEE Access, 2019

2018

Wireless Sensor Network Localization via Matrix Completion Based on Bregman Divergence.

Chunsheng Liu, Hong Shan, Bin Wang

Sensors, 2018

Feature-Based Transfer Learning Based on Distribution Similarity.

Xiaofeng Zhong, Shize Guo, Hong Shan, Liang Gao, Di Xue, Nan Zhao

IEEE Access, 2018

A General Personality Prediction Framework Based on Facebook Profiles.

Xiaofeng Zhong, Shize Guo, Liang Gao, Hong Shan, Di Xue

Proceedings of the 10th International Conference on Machine Learning and Computing, 2018

2017

An Improved k-NN Classification with Dynamic k.

Xiaofeng Zhong, Shize Guo, Liang Gao, Hong Shan, Jinghua Zheng

Proceedings of the 9th International Conference on Machine Learning and Computing, 2017

2016

一种基于随机森林的LBS用户社会关系判断方法 (Random Forests Based Method for Inferring Social Ties of LBS Users).

Chunlai Ma, Hong Shan, Tao Ma, Zhenghai Gu

计算机科学, 2016

一种基于簇中心点自动选择策略的密度峰值聚类算法 (Improved Density Peaks Based Clustering Algorithm with Strategy Choosing Cluster Center Automatically).

Chunlai Ma, Hong Shan, Tao Ma

计算机科学, 2016