Jun Sang

According to our database, Jun Sang authored at least 51 papers between 2005 and 2025.

Collaborative distances:

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

2025

Multi-GlaucNet: A multi-task model for optic disc segmentation, blood vessel segmentation and glaucoma detection.

Haoren Xiong, Fei Long, Mohammad S. Alam, Jun Sang

Biomed. Signal Process. Control., 2025

2024

A Classification Method for Diabetic Retinopathy Based on Self-supervised Learning.

Fei Long, Haoren Xiong, Jun Sang

Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

2023

Multiscale Network with Equivalent Large Kernel Attention for Crowd Counting.

Zhiwei Wu, Wenhui Gong, Yan Chen, Xiaofeng Xia, Jun Sang

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

Image encryption based on logistic chaotic systems and deep autoencoder.

Yongpeng Sang, Jun Sang, Mohammad S. Alam

Pattern Recognit. Lett., 2022

A crowd counting method via density map and counting residual estimation.

Li Yang, Yanqun Guo, Jun Sang, Weiqun Wu, Zhongyuan Wu, Qi Liu, Xiaofeng Xia

Multim. Tools Appl., 2022

Hybrid attention network based on progressive embedding scale-context for crowd counting.

Fusen Wang, Jun Sang, Zhongyuan Wu, Qi Liu, Nong Sang

Inf. Sci., 2022

Joint CNN and Transformer Network via weakly supervised Learning for efficient crowd counting.

Fusen Wang, Kai Liu, Fei Long, Nong Sang, Xiaofeng Xia, Jun Sang

CoRR, 2022

MGSNet: A multi-scale and gated spatial attention network for crowd counting.

Ying Shi, Jun Sang, Zhongyuan Wu, Fusen Wang, Xinyue Liu, Xiaofeng Xia, Nong Sang

Appl. Intell., 2022

SGCNet: Scale-aware and global contextual network for crowd counting.

Qi Liu, Yanqun Guo, Jun Sang, Jinghan Tan, Fusen Wang, Shaoli Tian

Appl. Intell., 2022

MLRNet: Towards Real-Time Crowd Counting With Mobile-Based Lightweight Framework.

Peirong Ji, Xiaofeng Xia, Zhiwei Wu, Fusen Wang, Xinyue Liu, Jun Sang

Proceedings of the IEEE Smartworld, 2022

Vehicle Detection based on Positive Samples Selection with Low Threshold.

Jun Sang, Xin Qiao, Zhongyuan Wu, Shaoli Tian, Xiaofeng Xia

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Crowd Counting based on Density Map Dynamic Refinement.

Shaoli Tian, Jun Sang, Xin Qiao, Xinyue Liu, Kai Liu, Xiaofeng Xia

Proceedings of the International Joint Conference on Neural Networks, 2022

Applying Deep Learning to Known-Plaintext Attack on Chaotic Image Encryption Schemes.

Fusen Wang, Jun Sang, Chunlin Huang, Bin Cai, Hong Xiang, Nong Sang

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Fuzzy Logic Testing Approach for Measuring Software Completeness.

Nayyar Iqbal, Jun Sang

Symmetry, 2021

Density-aware and background-aware network for crowd counting via multi-task learning.

Xinyue Liu, Jun Sang, Weiqun Wu, Kai Liu, Qi Liu, Xiaofeng Xia

Pattern Recognit. Lett., 2021

Measuring Software Maintainability with Naïve Bayes Classifier.

Nayyar Iqbal, Jun Sang, Jing Chen, Xiaofeng Xia

Entropy, 2021

A deep learning based known plaintext attack method for chaotic cryptosystem.

Fusen Wang, Jun Sang, Qi Liu, Chunlin Huang, Jinghan Tan

CoRR, 2021

BloodCaps: A capsule network based model for the multiclassification of human peripheral blood cells.

Fei Long, Jing-Jie Peng, Weitao Song, Xiaobo Xia, Jun Sang

Comput. Methods Programs Biomed., 2021

Scale-Aware Multi-stage Fusion Network for Crowd Counting.

Qi Liu, Jun Sang, Fusen Wang, Li Yang, Xiaofeng Xia, Nong Sang

Proceedings of the Neural Information Processing - 28th International Conference, 2021

CRANet: Cascade Residual Attention Network for Crowd Counting.

Zhongyuan Wu, Jun Sang, Ying Shi, Qi Liu, Nong Sang, Xinyue Liu

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

GC-MRNet: Gated Cascade Multi-stage Regression Network for Crowd Counting.

Ying Shi, Jun Sang, Jinghan Tan, Zhongyuan Wu, Bin Cai, Nong Sang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

A New Convolutional Neural Network-Based Steganalysis Method for Content-Adaptive Image Steganography in the Spatial Domain.

Zhili Xiang, Jun Sang, Qian Zhang, Bin Cai, Xiaofeng Xia, Weiqun Wu

IEEE Access, 2020

Sentence Pair Similarity Modeling Based on Weighted Interaction of Multi-semantic Embedding Matrix.

Junyu Chen, Xiaohong Zhu, Jun Sang, Lu Gong

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

GTFNet: Ground Truth Fitting Network for Crowd Counting.

Jinghan Tan, Jun Sang, Zhili Xiang, Ying Shi, Xiaofeng Xia

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019

Success factors influencing requirements change management process in global software development.

Muhammad Azeem Akbar, Jun Sang, Nasrullah, Arif Ali Khan, Sajjad Mahmood, Syed Furqan Qadri, Haibo Hu, Hong Xiang

J. Comput. Lang., 2019

Investigation of the requirements change management challenges in the domain of global software development.

Muhammad Azeem Akbar, Jun Sang, Arif Ali Khan, Shahid Hussain

J. Softw. Evol. Process., 2019

Multi-Scale Vehicle Detection for Foreground-Background Class Imbalance with Improved YOLOv2.

Zhongyuan Wu, Jun Sang, Qian Zhang, Hong Xiang, Bin Cai, Xiaofeng Xia

Sensors, 2019

Automated Lung Nodule Detection and Classification Using Deep Learning Combined with Multiple Strategies.

Nasrullah, Jun Sang, Mohammad S. Alam, Muhammad Mateen, Bin Cai, Haibo Hu

Sensors, 2019

Reversible data hiding in compressed and encrypted images by using Kd-tree.

Nasrullah, Jun Sang, Muhammad Mateen, Muhammad Azeem Akbar, Hong Xiang, Xiaofeng Xia

Multim. Tools Appl., 2019

A novel weighted evidence combination rule based on improved entropy function with a diagnosis application.

Lei Chen, Ling Diao, Jun Sang

Int. J. Distributed Sens. Networks, 2019

Improved Crowd Counting Method Based on Scale-Adaptive Convolutional Neural Network.

Jun Sang, Weiqun Wu, Hongling Luo, Hong Xiang, Qian Zhang, Haibo Hu, Xiaofeng Xia

IEEE Access, 2019

CIM-CSS: A Formal Modeling Approach to Context Identification and Management for Intelligent Context-Sensitive Systems.

Ali Mahmoud Baddour, Jun Sang, Haibo Hu, Muhammad Azeem Akbar, Hassan Loulou, Ahmad Ali, Kanza Gulzar

IEEE Access, 2019

Towards the Guidelines for Requirements Change Management in Global Software Development: Client-Vendor Perspective.

Muhammad Azeem Akbar, Jun Sang, Nasrullah, Arif Ali Khan, Muhammad Shafiq, Fazal-e-Amin

IEEE Access, 2019

Forward Engineering Completeness for Software by Using Requirements Validation Framework (S).

Nayyar Iqbal, Jun Sang, Min Gao, Haibo Hu, Hong Xiang

Proceedings of the 31st International Conference on Software Engineering and Knowledge Engineering, 2019

An Image Splicing and Copy-Move Detection Method Based on Convolutional Neural Networks with Global Average Pooling.

Qian Zhang, Jun Sang, Weiqun Wu, Bin Cai, Zhongyuan Wu, Haibo Hu

Proceedings of the Image and Graphics - 10th International Conference, 2019

2018

An Improved YOLOv2 for Vehicle Detection.

Jun Sang, Zhongyuan Wu, Pei Guo, Haibo Hu, Hong Xiang, Qian Zhang, Bin Cai

Sensors, 2018

An efficient quantum circuits optimizing scheme compared with QISKit.

Xin Zhang, Hong Xiang, Tao Xiang, Li Fu, Jun Sang

CoRR, 2018

Improving the Quality of Software Development Process by Introducing a New Methodology-AZ-Model.

Muhammad Azeem Akbar, Jun Sang, Arif Ali Khan, Fazal-e-Amin, Nasrullah, Muhammad Shafiq, Shahid Hussain, Haibo Hu, Manzoor Elahi, Hong Xiang

IEEE Access, 2018

Statistical Analysis of the Effects of Heavyweight and Lightweight Methodologies on the Six-Pointed Star Model.

Muhammad Azeem Akbar, Jun Sang, Arif Ali Khan, Fazal-e-Amin, Nasrullah, Shahid Hussain, Mohammad Khalid Sohail, Hong Xiang, Bin Cai

IEEE Access, 2018

2017

Fuzzy Approach to Prioritize Usability Requirements Conflicts: An Experimental Evaluation.

Kanza Gulzar, Jun Sang, Muhammad Ramzan, Muhammad Kashif

IEEE Access, 2017

2016

Personality as a metric for topic models on social networks.

Zi-Yi Yang, Jun Sang, Daxiang Hong, Tong Wang, Zhili Xiang

J. High Speed Networks, 2016

Approaches to access control policy comparison and the inter-domain role mapping problem.

Hong Xiang, Xiaofeng Xia, Haibo Hu, Sheng Wang, Jun Sang, Chunxiao Ye

Inf. Technol. Control., 2016

2015

Security Analysis of Image Encryption Based on Gyrator Transform by Searching the Rotation Angle with Improved PSO Algorithm.

Jun Sang, Jun Zhao, Zhili Xiang, Bin Cai, Hong Xiang

Sensors, 2015

2014

Protection profile for the smartphone operating system.

Jun Sang, Daxiang Hong, Bing Zhang, Hong Xiang, Li Fu

Int. J. Embed. Syst., 2014

2013

Security Analysis of Random Phase Encoding Based Image Encryption in Gyrator Transform Domains.

Jun Sang, Bin Cai, Bing Zhang, Daxiang Hong, Haibo Hu

Proceedings of the Ninth International Conference on Computational Intelligence and Security, 2013

2012

Efficient Text Encryption and Hiding with Double-Random Phase-Encoding.

Jun Sang, Shenggui Ling, Mohammad S. Alam

Sensors, 2012

2011

Semantic Web-based policy interaction detection method with rules in smart home for detecting interactions among user policies.

Haibo Hu, Dan Yang, Li Fu, Hong Xiang, Chunlei Fu, Jun Sang, Chunxiao Ye, Ren Li

IET Commun., 2011

Using PSO Algorithm for Simple LSB Substitution Based Steganography Scheme in DCT Transformation Domain.

Feno Heriniaina Rabevohitra, Jun Sang

Proceedings of the Advances in Swarm Intelligence - Second International Conference, 2011

2010

Diagnosis of Liver Diseases from P31 MRS Data Based on Feature Selection Using Genetic Algorithm.

Jinyong Cheng, Yihui Liu, Jun Sang, Qiang Liu, Shaoqing Wang

Proceedings of the Life System Modeling and Intelligent Computing, 2010

2008

Fragility and Robustness of Binary-Phase-Only-Filter-Based Fragile/Semifragile Digital Image Watermarking.

Jun Sang, Mohammad S. Alam

IEEE Trans. Instrum. Meas., 2008

2005

A Neural Network Based Lossless Digital Image Watermarking in the Spatial Domain.

Jun Sang, Mohammad S. Alam

Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005