Jun Sang - RankMe

70 papers A 2B 3C 2Misc 1Journal 48Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CrossVesselNet: A one-shot retinal vessel segmentation Net. Biomed. Signal Process. Control. Haoren Xiong, Jun Sang, Sergey Gorbachev, Shanjun Zhang, Fei Long, Hang Hu
2026	J	`jnl`	Frequency-selective countnet: Enhancing text-guided object counting with frequency features. Pattern Recognit. Lett. Cheng Qian, Jiwu Cao, Ying Mao, Ruotian Zhang, Fei Long, Jun Sang
2026	J	`jnl`	HLCN: A Hypergraph Laplace Contrastive Network for enhanced multimodal sentiment analysis. Pattern Recognit. Lett. Cheng Qian, Ruotian Zhang, Ying Mao, Jiwu Cao, Fei Long, Jun Sang
2026	J	`jnl`	LPCLNet: Leveraging local pixel-wise contrastive learning for image tampering localization. Inf. Sci. Jun Sang, Xiaowen Chen, Wenhui Gong, Sergey Gorbachev, Shanjun Zhang
2026	J	`jnl`	Multi-scale Vision Mamba-UNet: A Mamba-based method for retinal vessel segmentation. Biomed. Signal Process. Control. Hang Hu, Haoren Xiong, Fei Long, Mohammad S. Alam, Jun Sang
2026	J	`jnl`	PD-count: Prompt-driven zero-shot object counting with dynamic frequency transformation. Expert Syst. Appl. Kai Liu, Jun Sang, Cheng Qian, Peng Zhu, Fa Zhu, Xiaofeng Xia, David Camacho
2026	J	`jnl`	Weakly supervised crowd counting with joint CNN and transformer network. Pattern Recognit. Fusen Wang, Kai Liu, Ning Wei, Nong Sang, Xiaofeng Xia, Jun Sang
2025	J	`jnl`	A diabetic retinopathy classification method based on image-text contrastive learning. Pattern Recognit. Lett. Fei Long, Haoren Xiong, Hang Hu, Cheng Qian, Jun Sang
2025	A	`conf`	AMS-Counter: Text-Guided Zero-shot Object Counting via Adaptive Multi-view Similarity-map. ICME Cheng Qian, Jiwu Cao, Ying Mao, Kai Liu, Peng Zhu, Jun Sang
2025	—	`conf`	Class-Agnostic Counting Based on Channel Reconstruction and Dynamic Similarity Matching. ICIC (11) Peng Zhu, Xuetao Zou, Jun Sang
2025	J	`jnl`	Cross-Level Attention Multi-Scale Context-Enhanced Crowd Counting Network for Transportation Cyber-Physical Systems. IEEE Trans. Intell. Transp. Syst. Kai Liu, Zhongxin Dou, Fusen Wang, Xiaofeng Xia, Jun Sang
2025	J	`jnl`	DSFNet: Class-Agnostic Object Counting Network With Dual Enhancement of Similarity and Feature Representation. IEEE Trans. Ind. Informatics Kai Liu, Zhongxin Dou, Xuetao Zou, Peng Zhu, Chunqiang Hu, Jun Sang
2025	J	`jnl`	Modal-Adaptive Spatial-Aware-Fusion and Propagation Network for Multimodal Vision Crowd Counting. IEEE Trans. Consumer Electron. Kai Liu, Xuetao Zou, Peng Zhu, Jun Sang
2025	J	`jnl`	Multi-GlaucNet: A multi-task model for optic disc segmentation, blood vessel segmentation and glaucoma detection. Biomed. Signal Process. Control. Haoren Xiong, Fei Long, Mohammad S. Alam, Jun Sang
2025	J	`jnl`	NFGCL: A negative-sampling-free graph contrastive learning framework for recommendation. Inf. Sci. Yuxi Xiao, Rui Ma, Jun Sang
2025	J	`jnl`	PolaCount: Text-specified zero-shot object counting with pyramid polarity-aware cross-attention. Neurocomputing Cheng Qian, Jiwu Cao, Ying Mao, Kai Liu, Peng Zhu, Jun Sang
2025	—	`conf`	Text-Guided Object Counting via Residual-Gated Shuffle Attention and Frequency Refinement. PRCV (16) Cheng Qian, Ying Mao, Jiwu Cao, Ruotian Zhang, Peng Zhu, Jun Sang
2024	—	`conf`	A Classification Method for Diabetic Retinopathy Based on Self-supervised Learning. ICIC (LNBI 1) Fei Long, Haoren Xiong, Jun Sang
2023	—	`conf`	Multiscale Network with Equivalent Large Kernel Attention for Crowd Counting. ICONIP (11) Zhiwei Wu, Wenhui Gong, Yan Chen, Xiaofeng Xia, Jun Sang
2022	J	`jnl`	A crowd counting method via density map and counting residual estimation. Multim. Tools Appl. Li Yang, Yanqun Guo, Jun Sang, Weiqun Wu, Zhongyuan Wu, Qi Liu, Xiaofeng Xia
2022	Misc	`conf`	Applying Deep Learning to Known-Plaintext Attack on Chaotic Image Encryption Schemes. ICASSP Fusen Wang, Jun Sang, Chunlin Huang, Bin Cai, Hong Xiang, Nong Sang
2022	B	`conf`	Crowd Counting based on Density Map Dynamic Refinement. IJCNN Shaoli Tian, Jun Sang, Xin Qiao, Xinyue Liu, Kai Liu, Xiaofeng Xia
2022	J	`jnl`	Hybrid attention network based on progressive embedding scale-context for crowd counting. Inf. Sci. Fusen Wang, Jun Sang, Zhongyuan Wu, Qi Liu, Nong Sang
2022	J	`jnl`	Image encryption based on logistic chaotic systems and deep autoencoder. Pattern Recognit. Lett. Yongpeng Sang, Jun Sang, Mohammad S. Alam
2022	J	`jnl`	Joint CNN and Transformer Network via weakly supervised Learning for efficient crowd counting. CoRR Fusen Wang, Kai Liu, Fei Long, Nong Sang, Xiaofeng Xia, Jun Sang
2022	J	`jnl`	MGSNet: A multi-scale and gated spatial attention network for crowd counting. Appl. Intell. Ying Shi, Jun Sang, Zhongyuan Wu, Fusen Wang, Xinyue Liu, Xiaofeng Xia, Nong Sang
2022	—	`conf`	MLRNet: Towards Real-Time Crowd Counting With Mobile-Based Lightweight Framework. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta Peirong Ji, Xiaofeng Xia, Zhiwei Wu, Fusen Wang, Xinyue Liu, Jun Sang
2022	—	`ed.`	Proceedings of the 2022 International Conference on Computer and Information Processing Technology Virtual Event, Shenyang, China, August 5-7, 2022, Virtual Event, Shenyang, China, August 5-7, 2022. ISCIPT Wenbo Zhang, Jun Sang
2022	—	`ed.`	Proceedings of the 3rd International Conference on Big Data & Artificial Intelligence & Software Engineering, ICBASE 2022, Virtual Event, Guangzhou, China, October 21-23, 2022. ICBASE Shaozhang Niu, Jun Sang
2022	J	`jnl`	SGCNet: Scale-aware and global contextual network for crowd counting. Appl. Intell. Qi Liu, Yanqun Guo, Jun Sang, Jinghan Tan, Fusen Wang, Shaoli Tian
2022	B	`conf`	Vehicle Detection based on Positive Samples Selection with Low Threshold. SMC Jun Sang, Xin Qiao, Zhongyuan Wu, Shaoli Tian, Xiaofeng Xia
2021	J	`jnl`	A deep learning based known plaintext attack method for chaotic cryptosystem. CoRR Fusen Wang, Jun Sang, Qi Liu, Chunlin Huang, Jinghan Tan
2021	J	`jnl`	BloodCaps: A capsule network based model for the multiclassification of human peripheral blood cells. Comput. Methods Programs Biomed. Fei Long, Jing-Jie Peng, Weitao Song, Xiaobo Xia, Jun Sang
2021	A	`conf`	CRANet: Cascade Residual Attention Network for Crowd Counting. ICME Zhongyuan Wu, Jun Sang, Ying Shi, Qi Liu, Nong Sang, Xinyue Liu
2021	J	`jnl`	Density-aware and background-aware network for crowd counting via multi-task learning. Pattern Recognit. Lett. Xinyue Liu, Jun Sang, Weiqun Wu, Kai Liu, Qi Liu, Xiaofeng Xia
2021	J	`jnl`	Fuzzy Logic Testing Approach for Measuring Software Completeness. Symmetry Nayyar Iqbal, Jun Sang
2021	—	`conf`	GC-MRNet: Gated Cascade Multi-stage Regression Network for Crowd Counting. ICANN (2) Ying Shi, Jun Sang, Jinghan Tan, Zhongyuan Wu, Bin Cai, Nong Sang
2021	J	`jnl`	Hybrid attention network based on progressive embedding scale-context for crowd counting. CoRR Fusen Wang, Jun Sang, Zhongyuan Wu, Qi Liu, Nong Sang
2021	J	`jnl`	Measuring Software Maintainability with Naïve Bayes Classifier. Entropy Nayyar Iqbal, Jun Sang, Jing Chen, Xiaofeng Xia
2021	—	`conf`	Scale-Aware Multi-stage Fusion Network for Crowd Counting. ICONIP (6) Qi Liu, Jun Sang, Fusen Wang, Li Yang, Xiaofeng Xia, Nong Sang
2020	J	`jnl`	A New Convolutional Neural Network-Based Steganalysis Method for Content-Adaptive Image Steganography in the Spatial Domain. IEEE Access Zhili Xiang, Jun Sang, Qian Zhang, Bin Cai, Xiaofeng Xia, Weiqun Wu
2020	—	`conf`	GTFNet: Ground Truth Fitting Network for Crowd Counting. ICANN (1) Jinghan Tan, Jun Sang, Zhili Xiang, Ying Shi, Xiaofeng Xia
2020	B	`conf`	Sentence Pair Similarity Modeling Based on Weighted Interaction of Multi-semantic Embedding Matrix. ICTAI Junyu Chen, Xiaohong Zhu, Jun Sang, Lu Gong
2019	J	`jnl`	A novel weighted evidence combination rule based on improved entropy function with a diagnosis application. Int. J. Distributed Sens. Networks Lei Chen, Ling Diao, Jun Sang
2019	—	`conf`	An Image Splicing and Copy-Move Detection Method Based on Convolutional Neural Networks with Global Average Pooling. ICIG (3) Qian Zhang, Jun Sang, Weiqun Wu, Bin Cai, Zhongyuan Wu, Haibo Hu
2019	J	`jnl`	Automated Lung Nodule Detection and Classification Using Deep Learning Combined with Multiple Strategies. Sensors Nasrullah, Jun Sang, Mohammad S. Alam, Muhammad Mateen, Bin Cai, Haibo Hu
2019	J	`jnl`	CIM-CSS: A Formal Modeling Approach to Context Identification and Management for Intelligent Context-Sensitive Systems. IEEE Access Ali Mahmoud Baddour, Jun Sang, Haibo Hu, Muhammad Azeem Akbar, Hassan Loulou, Ahmad Ali, Kanza Gulzar
2019	C	`conf`	Forward Engineering Completeness for Software by Using Requirements Validation Framework (S). SEKE Nayyar Iqbal, Jun Sang, Min Gao, Haibo Hu, Hong Xiang
2019	J	`jnl`	Improved Crowd Counting Method Based on Scale-Adaptive Convolutional Neural Network. IEEE Access Jun Sang, Weiqun Wu, Hongling Luo, Hong Xiang, Qian Zhang, Haibo Hu, Xiaofeng Xia
2019	J	`jnl`	Investigation of the requirements change management challenges in the domain of global software development. J. Softw. Evol. Process. Muhammad Azeem Akbar, Jun Sang, Arif Ali Khan, Shahid Hussain
2019	J	`jnl`	Multi-Scale Vehicle Detection for Foreground-Background Class Imbalance with Improved YOLOv2. Sensors Zhongyuan Wu, Jun Sang, Qian Zhang, Hong Xiang, Bin Cai, Xiaofeng Xia
2019	J	`jnl`	Reversible data hiding in compressed and encrypted images by using Kd-tree. Multim. Tools Appl. Nasrullah, Jun Sang, Muhammad Mateen, Muhammad Azeem Akbar, Hong Xiang, Xiaofeng Xia
2019	J	`jnl`	Success factors influencing requirements change management process in global software development. J. Comput. Lang. Muhammad Azeem Akbar, Jun Sang, Nasrullah, Arif Ali Khan, Sajjad Mahmood, Syed Furqan Qadri, Haibo Hu, Hong Xiang
2019	J	`jnl`	Towards the Guidelines for Requirements Change Management in Global Software Development: Client-Vendor Perspective. IEEE Access Muhammad Azeem Akbar, Jun Sang, Nasrullah, Arif Ali Khan, Muhammad Shafiq, Fazal-e-Amin
2018	J	`jnl`	An Improved YOLOv2 for Vehicle Detection. Sensors Jun Sang, Zhongyuan Wu, Pei Guo, Haibo Hu, Hong Xiang, Qian Zhang, Bin Cai
2018	J	`jnl`	An efficient quantum circuits optimizing scheme compared with QISKit. CoRR Xin Zhang, Hong Xiang, Tao Xiang, Li Fu, Jun Sang
2018	J	`jnl`	Improving the Quality of Software Development Process by Introducing a New Methodology-AZ-Model. IEEE Access Muhammad Azeem Akbar, Jun Sang, Arif Ali Khan, Fazal-e-Amin, Nasrullah, Muhammad Shafiq, Shahid Hussain, Haibo Hu, Manzoor Elahi, Hong Xiang
2018	J	`jnl`	Statistical Analysis of the Effects of Heavyweight and Lightweight Methodologies on the Six-Pointed Star Model. IEEE Access Muhammad Azeem Akbar, Jun Sang, Arif Ali Khan, Fazal-e-Amin, Nasrullah, Shahid Hussain, Mohammad Khalid Sohail, Hong Xiang, Bin Cai
2017	J	`jnl`	Fuzzy Approach to Prioritize Usability Requirements Conflicts: An Experimental Evaluation. IEEE Access Kanza Gulzar, Jun Sang, Muhammad Ramzan, Muhammad Kashif
2016	J	`jnl`	Approaches to access control policy comparison and the inter-domain role mapping problem. Inf. Technol. Control. Hong Xiang, Xiaofeng Xia, Haibo Hu, Sheng Wang, Jun Sang, Chunxiao Ye
2016	J	`jnl`	Personality as a metric for topic models on social networks. J. High Speed Networks Ziyi Yang, Jun Sang, Daxiang Hong, Tong Wang, Zhili Xiang
2015	J	`jnl`	Security Analysis of Image Encryption Based on Gyrator Transform by Searching the Rotation Angle with Improved PSO Algorithm. Sensors Jun Sang, Jun Zhao, Zhili Xiang, Bin Cai, Hong Xiang
2014	J	`jnl`	Protection profile for the smartphone operating system. Int. J. Embed. Syst. Jun Sang, Daxiang Hong, Bing Zhang, Hong Xiang, Li Fu
2013	C	`conf`	Security Analysis of Random Phase Encoding Based Image Encryption in Gyrator Transform Domains. CIS Jun Sang, Bin Cai, Bing Zhang, Daxiang Hong, Haibo Hu
2012	J	`jnl`	Efficient Text Encryption and Hiding with Double-Random Phase-Encoding. Sensors Jun Sang, Shenggui Ling, Mohammad S. Alam
2011	J	`jnl`	Semantic Web-based policy interaction detection method with rules in smart home for detecting interactions among user policies. IET Commun. Haibo Hu, Dan Yang, Li Fu, Hong Xiang, Chunlei Fu, Jun Sang, Chunxiao Ye, Ren Li
2011	—	`conf`	Using PSO Algorithm for Simple LSB Substitution Based Steganography Scheme in DCT Transformation Domain. ICSI (1) Feno Heriniaina Rabevohitra, Jun Sang
2010	—	`conf`	Diagnosis of Liver Diseases from P31 MRS Data Based on Feature Selection Using Genetic Algorithm. LSMS/ICSEE Jinyong Cheng, Yihui Liu, Jun Sang, Qiang Liu, Shaoqing Wang
2008	J	`jnl`	Fragility and Robustness of Binary-Phase-Only-Filter-Based Fragile/Semifragile Digital Image Watermarking. IEEE Trans. Instrum. Meas. Jun Sang, Mohammad S. Alam
2005	—	`conf`	A Neural Network Based Lossless Digital Image Watermarking in the Spatial Domain. ISNN (2) Jun Sang, Mohammad S. Alam