Malicious Code Detection based on Image Processing Using Deep Learning. - Rajesh Kumar 014; Xiaosong Zhang 001; Riaz Ullah Khan; Ijaz Ahad; Jay Kumar (ICCAI, 2018)

Effective and Explainable Detection of Android Malware Based on Machine Learning Algorithms. - Rajesh Kumar 014; Xiaosong Zhang 001; Riaz Ullah Khan; Jay Kumar; Ijaz Ahad (ICCAI, 2018)

A Multimodal Malware Detection Technique for Android IoT Devices Using Various Features. - Rajesh Kumar 014; Xiaosong Zhang 001; Wenyong Wang; Riaz Ullah Khan; Jay Kumar; Abubaker Sharif (IEEE Access, 2019)

A New Corpus for Low-Resourced Sindhi Language with Word Embeddings. - Wazir Ali; Jay Kumar; Junyu Lu; Zenglin Xu (CoRR, 2019)

An Online Semantic-enhanced Dirichlet Model for Short Text Stream Clustering. - Jay Kumar; Junming Shao; Salah Uddin; Wazir Ali (ACL, 2020)

Fake Review Detection Using Behavioral and Contextual Features. - Jay Kumar (CoRR, 2020)

Blockchain-Federated-Learning and Deep Learning Models for COVID-19 detection using CT Imaging. - Rajesh Kumar 014; Abdullah Aman Khan; Sinmin Zhang; Wenyong Wang; Yousif Abuidris; Waqas Amin; Jay Kumar (CoRR, 2020)

A Subword Guided Neural Word Segmentation Model for Sindhi. - Wazir Ali; Jay Kumar; Zenglin Xu; Congjian Luo; Junyu Lu; Junming Shao; Rajesh Kumar 014; Yazhou Ren 001 (CoRR, 2020)

Online reliable semi-supervised learning on evolving data streams. - Salah Ud Din; Junming Shao; Jay Kumar; Waqar Ali 001; Jiaming Liu 002; Yu Ye (Inf. Sci., 2020)

A new soft computing approach for order diminution of interval system. - Jay Kumar; Afzal Sikander; Monica Mehrotra; Girish Parmar (Int. J. Syst. Assur. Eng. Manag., 2020)

Neural Joint Model for Part-of-Speech Tagging and Entity Extraction. - Wazir Ali; Rajesh Kumar 014; Yong Dai 001; Jay Kumar; Saifullah Tumrani (ICMLC, 2021)

Creating and Evaluating Resources for Sentiment Analysis in the Low-resource Language: Sindhi. - Wazir Ali; Naveed Ali; Yong Dai 001; Jay Kumar; Saifullah Tumrani; Zenglin Xu (WASSA@EACL, 2021)

An Integration of blockchain and AI for secure data sharing and detection of CT images for the hospitals. - Rajesh Kumar 014; Wenyong Wang; Jay Kumar; Ting Yang; Abdullah Aman Khan; Wazir Ali; Ikram Ali (Comput. Medical Imaging Graph., 2021)

Trends in Vehicle Re-identification Past, Present, and Future: A Comprehensive Review. - Zakria; Jianhua Deng; Muhammad Saddam Khokhar; Muhammad Umar Aftab; Jingye Cai; Rajesh Kumar 014; Jay Kumar (CoRR, 2021)

IoTMalware: Android IoT Malware Detection based on Deep Neural Network and Blockchain Technology. - Rajesh Kumar 014; Wenyong Wang; Jay Kumar; Zakria; Ting Yang; Waqar Ali 001; Abubackar Sharif (CoRR, 2021)

A Survey on Semi-parametric Machine Learning Technique for Time Series Forecasting. - Khwaja Mutahir Ahmad; Gang He 001; Wenxin Yu 001; Xiaochuan Xu; Jay Kumar; Muhammad Asim Saleem (CoRR, 2021)

Privacy-Preserved Blockchain-Federated-Learning for Medical Image Analysis Towards Multiple Parties. - Rajesh Kumar 014; Wenyong Wang; Cheng Yuan; Jay Kumar; Zakria; He Qing; Ting Yang; Abdullah Aman Khan (CoRR, 2021)

Data stream classification with novel class detection: a review, comparison and challenges. - Salah Ud Din; Junming Shao; Jay Kumar; Cobbinah Bernard Mawuli; S. M. Hasan Mahmud; Wei Zhang; Qinli Yang (Knowl. Inf. Syst., 2021)

Inferring context with reliable collaborators: a novel similarity estimation method for recommender systems. - Waqar Ali 001; Jay Kumar; Jie Shao 001 (Appl. Intell., 2022)

Blockchain and homomorphic encryption based privacy-preserving model aggregation for medical images. - Rajesh Kumar 014; Jay Kumar; Abdullah Aman Khan; Zakria; Hub Ali; Bernard Cobbinah Mawuli; Riaz Ullah Khan; Shaoning Zeng (Comput. Medical Imaging Graph., 2022)

Multiscale and Direction Target Detecting in Remote Sensing Images via Modified YOLO-v4. - Zakria; Jianhua Deng; Rajesh Kumar 014; Muhammad Saddam Khokhar; Jingye Cai; Jay Kumar (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Learning High-Dimensional Evolving Data Streams With Limited Labels. - Salah Ud Din; Jay Kumar; Junming Shao; Cobbinah Bernard Mawuli; Waldiodio David Ndiaye (IEEE Trans. Cybern., 2022)

An Online Semantic-Enhanced Graphical Model for Evolving Short Text Stream Clustering. - Jay Kumar; Salah Ud Din; Qinli Yang; Rajesh Kumar 014; Junming Shao (IEEE Trans. Cybern., 2022)

NEOS: Non-intrusive Edge Observability stack based on Zero Trust security model for Ubiquitous Computing. - Abhijit Kumar; Tauseef Ahmed; Konica Saini; Jay Kumar (EDGE, 2023)

A 750mW 24GS/s 12b Time-Interleaved ADC for Direct RF Sampling in Modern Wireless Systems. - Sandeep Santhosh Kumar; Masahiro Kudo; Vlad Cretu; Antoine Morineau; Atsushi Matsuda; Minori Yoshida; Masazumi Marutani; Aadil Hussain Maniyar; Jay Kumar (ISSCC, 2023)

Building a Safer Maritime Environment Through Multi-Path Long-Term Vessel Trajectory Forecasting. - Gabriel Spadon; Jay Kumar; Matthew Smith; Sarah Vela; Romina Gehrmann; Derek Eden; Joshua van Berkel; Amílcar Soares 001; Ronan Fablet; Ronald Pelot; Stan Matwin (CoRR, 2023)

Semi-supervised federated learning on evolving data streams. - Cobbinah Bernard Mawuli; Jay Kumar; Ebenezer Nanor; Shangxuan Fu; Liangxu Pan; Qinli Yang; Wei Zhang; Junming Shao (Inf. Sci., 2023)

Dynamic context management in context-aware recommender systems. - Waqar Ali 001; Jay Kumar; Cobbinah Bernard Mawuli; Lei She; Jie Shao 001 (Comput. Electr. Eng., 2023)

A context-enhanced Dirichlet model for online clustering in short text streams. - Jay Kumar; Junming Shao; Rajesh Kumar 014; Salah Ud Din; Cobbinah Bernard Mawuli; Qinli Yang (Expert Syst. Appl., 2023)

Online Semi-Supervised Classification on Multilabel Evolving High-Dimensional Text Streams. - Jay Kumar; Junming Shao; Rajesh Kumar 014; Salah Ud Din; Cobbinah Bernard Mawuli; Qinli Yang (IEEE Trans. Syst. Man Cybern. Syst., 2023)

FedStream: Prototype-Based Federated Learning on Distributed Concept-Drifting Data Streams. - Cobbinah Bernard Mawuli; Liwei Che; Jay Kumar; Salah Ud Din; Zhili Qin; Qinli Yang; Junming Shao (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Enhancing Sindhi Word Segmentation Using Subword Representation Learning and Position-Aware Self-Attention. - Wazir Ali; Jay Kumar; Saifullah Tumani; Redhwan Nour; Adeeb Noor; Zenglin Xu (IEEE Access, 2024)

Privacy-preserving blockchain-based federated learning for brain tumor segmentation. - Rajesh Kumar 014; Bernard Mawuli Cobbinah; Aman Ullah; Riaz Ullah Khan; Jay Kumar; Delanyo Kwame Bensah Kulevome; Yunbo Rao; Shaoning Zeng (Comput. Biol. Medicine, 2024)

An Evaluation of Sindhi Word Embedding in Semantic Analogies and Downstream Tasks. - Wazir Ali; Saifullah Tumrani; Jay Kumar; Tariq Rahim Soomro (CoRR, 2024)

Evolving Text Data Stream Mining. - Jay Kumar (CoRR, 2024)

Maritime tracking data analysis and integration with AISdb. - Gabriel Spadon; Jay Kumar; Jinkun Chen; Matthew Smith; Casey Hilliard; Sarah Vela; Romina Gehrmann; Claudio DiBacco; Stan Matwin; Ronald Pelot (SoftwareX, 2024)

Privacy-preserving federated transfer learning for enhanced liver lesion segmentation in PET-CT imaging. - Rajesh Kumar 014; Shaoning Zeng; Jay Kumar; Zakria; Xinfeng Mao (Artif. Intell. Medicine, 2025)