Generating Topics of Interests for Research Communities. - Nagendra Kumar 001; Rahul Utkoor; Bharath K. R. Appareddy; Manish Singh 002 (ADMA, 2017)

Using Social Media for Word-of-Mouth Marketing. - Nagendra Kumar 001; Yash Chandarana; Anand Konjengbam; Manish Singh 002 (DaWaK, 2017)

Arousal Prediction of News Articles in Social Media. - Nagendra Kumar 001; Anusha Yadandla; K. Suryamukhi; Neha Ranabothu; Sravani Boya; Manish Singh 002 (MIKE, 2017)

TRAFAN: Road traffic analysis using social media web pages. - B. Akilesh; Nagendra Kumar 001; Bharath Reddy; Manish Singh 002 (COMSNETS, 2018)

Debate Stance Classification Using Word Embeddings. - Anand Konjengbam; Subrata Ghosh; Nagendra Kumar 001; Manish Singh 002 (DaWaK, 2018)

Aspect ontology based review exploration. - Anand Konjengbam; Neelesh Dewangan; Nagendra Kumar 001; Manish Singh 002 (Electron. Commer. Res. Appl., 2018)

Sentiment dynamics in social media news channels. - Nagendra Kumar 001; Rakshita Nagalla; Tanya Marwah; Manish Singh 002 (Online Soc. Networks Media, 2018)

Toward maximizing the visibility of content in social media brand pages: a temporal analysis. - Nagendra Kumar 001; Gopi Ande; Jessu Shirish Kumar; Manish Singh 002 (Soc. Netw. Anal. Min., 2018)

Where to Post: Routing Questions to Right Community in Community Question Answering Systems. - Nagendra Kumar 001; Srikanth G; Karthik Yadav Mudda; Gayam Trishal; Anand Konjengbam; Manish Singh 002 (COMAD/CODS, 2019)

Unsupervised tag recommendation for popular and cold products. - Anand Konjengbam; Nagendra Kumar 001; Manish Singh 002 (J. Intell. Inf. Syst., 2020)

Hashtag recommendation for short social media texts using word-embeddings and external knowledge. - Nagendra Kumar 001; Eshwanth Baskaran; Anand Konjengbam; Manish Singh 002 (Knowl. Inf. Syst., 2021)

Hashtag recommendation for enhancing the popularity of social media posts. - Purnadip Chakrabarti; Eish Malvi; Shubhi Bansal; Nagendra Kumar 001 (Soc. Netw. Anal. Min., 2023)

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)

MahaEmoSen: Towards Emotion-aware Multimodal Marathi Sentiment Analysis. - Prasad Chaudhari; Pankaj Nandeshwar; Shubhi Bansal; Nagendra Kumar 001 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 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)

A Hybrid Deep Neural Network for Multimodal Personalized Hashtag Recommendation. - Shubhi Bansal; Kushaan Gowda; Nagendra Kumar 001 (IEEE Trans. Comput. Soc. Syst., 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)

MMCFND: Multimodal Multilingual Caption-aware Fake News Detection for Low-resource Indic Languages. - Shubhi Bansal; Nishit Sushil Singh; Shahid Shafi Dar; 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 Human-Centered Approach for Improving Supervised Learning. - Shubhi Bansal; Atharva Tendulkar; Nagendra Kumar 001 (CoRR, 2024)

AMuSeD: An Attentive Deep Neural Network for Multimodal Sarcasm Detection Incorporating Bi-modal Data Augmentation. - Xiyuan Gao; Shubhi Bansal; Kushaan Gowda; Zhu Li; Shekhar Nayak; Nagendra Kumar 001; Matt Coler (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)

Multilingual personalized hashtag recommendation for low resource Indic languages using graph-based deep neural network. - Shubhi Bansal; Kushaan Gowda; Nagendra Kumar 001 (Expert Syst. Appl., 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)

Intra-modal Relation and Emotional Incongruity Learning using Graph Attention Networks for Multimodal Sarcasm Detection. - Devraj Raghuvanshi; Xiyuan Gao; Zhu Li; Shubhi Bansal; Matt Coler; Nagendra Kumar 001; Shekhar Nayak (ICASSP, 2025)

Retrieval Augmented Encoder-Decoder with Diffusion for Sequential Hashtag Recommendation in Disaster Events. - Shubhi Bansal; Seerla Parimala; Nagendra Kumar 001 (ICWSM, 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)

MNet-SAt: A Multiscale Network with Spatial-enhanced Attention for segmentation of polyps in colonoscopy. - Chandravardhan Singh Raghaw; Aryan Yadav; Jasmer Singh Sanjotra; Shalini Dangi; 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 Hybrid Similarity-Aware Graph Neural Network with Transformer for Node Classification. - Aman Singh; Shahid Shafi Dar; Ranveer Singh; 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)

Sentiment and hashtag-aware attentive deep neural network for multimodal post popularity prediction. - Shubhi Bansal; Mohit Kumar; Chandravardhan Singh Raghaw; Nagendra Kumar 001 (Neural Comput. Appl., 2025)

A Comprehensive Review on Hashtag Recommendation: From Traditional to Deep Learning and Beyond. - Shubhi Bansal; Kushaan Gowda; Anupama Sureshbabu K; Chirag Kothari; Nagendra Kumar 001 (CoRR, 2025)

Large Language Models Meet Stance Detection: A Survey of Tasks, Methods, Applications, Challenges and Future Directions. - Lata Pangtey; Anukriti Bhatnagar; Shubhi Bansal; Shahid Shafi Dar; Nagendra Kumar 001 (CoRR, 2025)