A Neural Network Based Lossless Digital Image Watermarking in the Spatial Domain. - Jun Sang; Mohammad S. Alam (ISNN (2), 2005)

Fragility and Robustness of Binary-Phase-Only-Filter-Based Fragile/Semifragile Digital Image Watermarking. - Jun Sang; Mohammad S. Alam (IEEE Trans. Instrum. Meas., 2008)

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 (LSMS/ICSEE, 2010)

Using PSO Algorithm for Simple LSB Substitution Based Steganography Scheme in DCT Transformation Domain. - Feno Heriniaina Rabevohitra; Jun Sang (ICSI (1), 2011)

Semantic Web-based policy interaction detection method with rules in smart home for detecting interactions among user policies. - Haibo Hu 002; Dan Yang 001; Li Fu; Hong Xiang; Chunlei Fu; Jun Sang; Chunxiao Ye; Ren Li (IET Commun., 2011)

Efficient Text Encryption and Hiding with Double-Random Phase-Encoding. - Jun Sang; Shenggui Ling; Mohammad S. Alam (Sensors, 2012)

Security Analysis of Random Phase Encoding Based Image Encryption in Gyrator Transform Domains. - Jun Sang; Bin Cai; Bing Zhang; Daxiang Hong; Haibo Hu (CIS, 2013)

Protection profile for the smartphone operating system. - Jun Sang; Daxiang Hong; Bing Zhang; Hong Xiang; Li Fu (Int. J. Embed. Syst., 2014)

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)

Approaches to access control policy comparison and the inter-domain role mapping problem. - Hong Xiang; Xiaofeng Xia; Haibo Hu 002; Sheng Wang; Jun Sang; Chunxiao Ye (Inf. Technol. Control., 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)

Fuzzy Approach to Prioritize Usability Requirements Conflicts: An Experimental Evaluation. - Kanza Gulzar; Jun Sang; Muhammad Ramzan; Muhammad Kashif (IEEE Access, 2017)

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 001; Mohammad Khalid Sohail; Hong Xiang; Bin Cai (IEEE Access, 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 006; Shahid Hussain 001; Haibo Hu 002; Manzoor Elahi; Hong Xiang (IEEE Access, 2018)

An efficient quantum circuits optimizing scheme compared with QISKit. - Xin Zhang; Hong Xiang; Tao Xiang 001; Li Fu; Jun Sang (CoRR, 2018)

An Improved YOLOv2 for Vehicle Detection. - Jun Sang; Zhongyuan Wu; Pei Guo; Haibo Hu 002; Hong Xiang; Qian Zhang; Bin Cai (Sensors, 2018)

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 (ICIG (3), 2019)

Forward Engineering Completeness for Software by Using Requirements Validation Framework (S). - Nayyar Iqbal; Jun Sang; Min Gao; Haibo Hu 002; Hong Xiang (SEKE, 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 006; Fazal-e-Amin (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 002; Muhammad Azeem Akbar; Hassan Loulou; Ahmad Ali; Kanza Gulzar (IEEE Access, 2019)

Improved Crowd Counting Method Based on Scale-Adaptive Convolutional Neural Network. - Jun Sang; Weiqun Wu; Hongling Luo; Hong Xiang; Qian Zhang; Haibo Hu 002; Xiaofeng Xia (IEEE Access, 2019)

A novel weighted evidence combination rule based on improved entropy function with a diagnosis application. - Lei Chen 040; Ling Diao; Jun Sang (Int. J. Distributed Sens. Networks, 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)

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)

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)

Investigation of the requirements change management challenges in the domain of global software development. - Muhammad Azeem Akbar; Jun Sang; Arif Ali Khan; Shahid Hussain 001 (J. Softw. Evol. Process., 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 002; Hong Xiang (J. Comput. Lang., 2019)

GTFNet: Ground Truth Fitting Network for Crowd Counting. - Jinghan Tan; Jun Sang; Zhili Xiang; Ying Shi; Xiaofeng Xia (ICANN (1), 2020)

Sentence Pair Similarity Modeling Based on Weighted Interaction of Multi-semantic Embedding Matrix. - Junyu Chen; Xiaohong Zhu; Jun Sang; Lu Gong (ICTAI, 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)

GC-MRNet: Gated Cascade Multi-stage Regression Network for Crowd Counting. - Ying Shi; Jun Sang; Jinghan Tan; Zhongyuan Wu; Bin Cai; Nong Sang (ICANN (2), 2021)

CRANet: Cascade Residual Attention Network for Crowd Counting. - Zhongyuan Wu; Jun Sang; Ying Shi; Qi Liu; Nong Sang; Xinyue Liu (ICME, 2021)

Scale-Aware Multi-stage Fusion Network for Crowd Counting. - Qi Liu; Jun Sang; Fusen Wang; Li Yang; Xiaofeng Xia; Nong Sang (ICONIP (6), 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)

A deep learning based known plaintext attack method for chaotic cryptosystem. - Fusen Wang; Jun Sang; Qi Liu; Chunlin Huang; Jinghan Tan (CoRR, 2021)

Measuring Software Maintainability with Naïve Bayes Classifier. - Nayyar Iqbal; Jun Sang; Jing Chen; Xiaofeng Xia (Entropy, 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)

Fuzzy Logic Testing Approach for Measuring Software Completeness. - Nayyar Iqbal; Jun Sang (Symmetry, 2021)

Applying Deep Learning to Known-Plaintext Attack on Chaotic Image Encryption Schemes. - Fusen Wang; Jun Sang; Chunlin Huang; Bin Cai; Hong Xiang; Nong Sang (ICASSP, 2022)

Crowd Counting based on Density Map Dynamic Refinement. - Shaoli Tian; Jun Sang; Xin Qiao; Xinyue Liu; Kai Liu; Xiaofeng Xia (IJCNN, 2022)

Vehicle Detection based on Positive Samples Selection with Low Threshold. - Jun Sang; Xin Qiao; Zhongyuan Wu; Shaoli Tian; Xiaofeng Xia (SMC, 2022)

MLRNet: Towards Real-Time Crowd Counting With Mobile-Based Lightweight Framework. - Peirong Ji; Xiaofeng Xia; Zhiwei Wu; Fusen Wang; Xinyue Liu; Jun Sang (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 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)

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)

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)

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)

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)

Image encryption based on logistic chaotic systems and deep autoencoder. - Yongpeng Sang; Jun Sang; Mohammad S. Alam (Pattern Recognit. Lett., 2022)

Multiscale Network with Equivalent Large Kernel Attention for Crowd Counting. - Zhiwei Wu; Wenhui Gong; Yan Chen; Xiaofeng Xia; Jun Sang (ICONIP (11), 2023)

A Classification Method for Diabetic Retinopathy Based on Self-supervised Learning. - Fei Long; Haoren Xiong; Jun Sang (ICIC (LNBI 1), 2024)

Class-Agnostic Counting Based on Channel Reconstruction and Dynamic Similarity Matching. - Peng Zhu; Xuetao Zou; Jun Sang (ICIC (11), 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)

PolaCount: Text-specified zero-shot object counting with pyramid polarity-aware cross-attention. - Cheng Qian; Jiwu Cao; Ying Mao; Kai Liu; Peng Zhu; Jun Sang (Neurocomputing, 2025)

NFGCL: A negative-sampling-free graph contrastive learning framework for recommendation. - Yuxi Xiao; Rui Ma; Jun Sang (Inf. Sci., 2025)

A diabetic retinopathy classification method based on image-text contrastive learning. - Fei Long; Haoren Xiong; Hang Hu; Cheng Qian; Jun Sang (Pattern Recognit. Lett., 2025)

Modal-Adaptive Spatial-Aware-Fusion and Propagation Network for Multimodal Vision Crowd Counting. - Kai Liu; Xuetao Zou; Peng Zhu; Jun Sang (IEEE Trans. Consumer Electron., 2025)

Weakly supervised crowd counting with joint CNN and transformer network. - Fusen Wang; Kai Liu; Ning Wei; Nong Sang; Xiaofeng Xia; Jun Sang (Pattern Recognit., 2026)