User-aware multilingual abusive content detection in social media. - Mohammad Zia Ur Rehman; Somya Mehta; Kuldeep Singh; Kunal Kaushik; Nagendra Kumar 001 (Inf. Process. Manag., 2023)

KisanQRS: A deep learning-based automated query-response system for agricultural decision-making. - Mohammad Zia Ur Rehman; Devraj Raghuvanshi; Nagendra Kumar 001 (Comput. Electron. Agric., 2023)

An Explainable Contrastive-based Dilated Convolutional Network with Transformer for Pediatric Pneumonia Detection. - Chandravardhan Singh Raghaw; Parth Shirish Bhore; Mohammad Zia Ur Rehman; Nagendra Kumar 001 (Appl. Soft Comput., 2024)

CoTCoNet: An optimized coupled transformer-convolutional network with an adaptive graph reconstruction for leukemia detection. - Chandravardhan Singh Raghaw; Arnav Sharma; Shubhi Bansal; Mohammad Zia Ur Rehman; Nagendra Kumar 001 (Comput. Biol. Medicine, 2024)

A Multilateral Attention-enhanced Deep Neural Network for Disease Outbreak Forecasting: A Case Study on COVID-19. - Ashutosh Anshul; Jhalak Gupta; Mohammad Zia Ur Rehman; Nagendra Kumar 001 (CoRR, 2024)

A Comprehensive Survey of Mamba Architectures for Medical Image Analysis: Classification, Segmentation, Restoration and Beyond. - Shubhi Bansal; Sreeharish A; Madhava Prasath J; Manikandan S; Sreekanth Madisetty; Mohammad Zia Ur Rehman; Chandravardhan Singh Raghaw; Gaurav Duggal; Nagendra Kumar 001 (CoRR, 2024)

GCM-Net: Graph-enhanced Cross-Modal Infusion with a Metaheuristic-Driven Network for Video Sentiment and Emotion Analysis. - Prasad Chaudhari; Aman Kumar; Chandravardhan Singh Raghaw; Mohammad Zia Ur Rehman; Nagendra Kumar 001 (CoRR, 2024)

A hybrid filtering for micro-video hashtag recommendation using graph-based deep neural network. - Shubhi Bansal; Kushaan Gowda; Mohammad Zia Ur Rehman; Chandravardhan Singh Raghaw; Nagendra Kumar 001 (Eng. Appl. Artif. Intell., 2024)

A contrastive topic-aware attentive framework with label encodings for post-disaster resource classification. - Shahid Shafi Dar; Mihir Kanchan Karandikar; Mohammad Zia Ur Rehman; Shubhi Bansal; Nagendra Kumar 001 (Knowl. Based Syst., 2024)

A Multimodal Framework for Depression Detection During COVID-19 via Harvesting Social Media. - Ashutosh Anshul; Gumpili Sai Pranav; Mohammad Zia Ur Rehman; Nagendra Kumar 001 (IEEE Trans. Comput. Soc. Syst., 2024)

ImpliHateVid: A Benchmark Dataset and Two-stage Contrastive Learning Framework for Implicit Hate Speech Detection in Videos. - Mohammad Zia Ur Rehman; Anukriti Bhatnagar; Omkar Kabde; Shubhi Bansal; Nagendra Kumar 001 (ACL (1), 2025)

T-MPEDNet: Unveiling the Synergy of Transformer-aware Multiscale Progressive Encoder-Decoder Network with Feature Recalibration for Tumor and Liver Segmentation. - Chandravardhan Singh Raghaw; Jasmer Singh Sanjotra; Mohammad Zia Ur Rehman; Shubhi Bansal; Shahid Shafi Dar; Nagendra Kumar 001 (Biomed. Signal Process. Control., 2025)

Emotion-aware dual cross-attentive neural network with label fusion for stance detection in misinformative social media content. - Lata Pangtey; Mohammad Zia Ur Rehman; Prasad Chaudhari; Shubhi Bansal; Nagendra Kumar 001 (Eng. Appl. Artif. Intell., 2025)

A social context-aware graph-based multimodal attentive learning framework for disaster content classification during emergencies. - Shahid Shafi Dar; Mohammad Zia Ur Rehman; Karan Bais; Mohammed Abdul Haseeb; Nagendra Kumar 001 (Expert Syst. Appl., 2025)

Hierarchical Attention-enhanced Contextual CapsuleNet for Multilingual Hope Speech Detection. - Mohammad Zia Ur Rehman; Devraj Raghuvanshi; Harshit Pachar; Chandravardhan Singh Raghaw; Nagendra Kumar 001 (Expert Syst. Appl., 2025)

A context-aware attention and graph neural network-based multimodal framework for misogyny detection. - Mohammad Zia Ur Rehman; Sufyaan Zahoor; Areeb Manzoor; Musharaf Maqbool; Nagendra Kumar 001 (Inf. Process. Manag., 2025)

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks. - Mohammad Zia Ur Rehman; Aditya Shah; Nagendra Kumar (CoRR, 2025)