Research Interests
Information Retrieval
Data Mining
Deep Learning
Natural Language Processing
Social Network Analysis
Multilingual Data Analysis
Multimodal Information Processing
Research Publications
Shubhi Bansal, Seerla Parimala, and Nagendra Kumar, "Retrieval Augmented Encoder-Decoder with Diffusion for Sequential Hashtag Recommendation in Disaster Events ", In Proceedings of the International AAAI Conference on Web and Social Media (AAAI ICWSM) (2025) (accepted).
Devraj Raghuvanshi, Xiyuan Gao, Zhu Li, Shubhi Bansal, Matt Coler, Nagendra Kumar, and Shekhar Nayak, "Intra-modal Relation and Emotional Incongruity Learning using Graph Attention Networks for Multimodal Sarcasm Detection", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2025).
Shubhi Bansal, Mohit Kumar, Chandravardhan Singh Raghaw, and Nagendra Kumar, "Sentiment and Hashtag-aware Attentive Deep Neural Network for Multimodal Post Popularity Prediction", Neural Computing and Applications (2024). [Impact Factor: 4.5]
Shubhi Bansal, Kushaan Gowda, Mohammad Zia Ur Rehman; Chandravardhan Singh Raghaw, and Nagendra Kumar, "A Hybrid Filtering for Micro-video Hashtag Recommendation using Graph-based Deep Neural Network", Engineering Applications of Artificial Intelligence (2024). DOI: https://doi.org/10.1016/j.engappai.2024.109417 [Impact Factor :7.5]
Shubhi Bansal, Kushaan Gowda, and Nagendra Kumar, "Multilingual Personalised Hashtag Recommendation for Low-Resource Indic Languages using Graph-based Deep Neural Network ", Expert Systems with Applications (2023). DOI: https://doi.org/10.1016/j.eswa.2023.121188 [Impact Factor: 7.5]
Prasad Chaudhari, Pankaj Nandeshwar, Shubhi Bansal, and Nagendra Kumar, "MahaEmoSen: Towards Emotion-aware Multimodal Marathi Sentiment Analysis", ACM Transactions on Asian and Low-Resource Language Information Processing (2023). DOI: https://doi.org/10.1145/3618057 [Impact Factor: 2.0]
Purnadip Chakrabarti, Eish Malvi, Shubhi Bansal, and Nagendra Kumar, "Hashtag Recommendation for Enhancing the Popularity of Social Media Posts", Social Network Analysis and Mining 13, no. 1 (2023). DOI: https://doi.org/10.1007/s13278-023-01024-9 [Impact Factor: 2.3]
Niharika Ganji, Arnab Sinhamahapatra, Shubhi Bansal, and Nagendra Kumar, CoviIS: A RealTime Covid Help Information System Using Digital Media, In 3rd International Conference on Data Science and Applications (ICDSA), 2023.
Shubhi Bansal, Kushaan Gowda, and Nagendra Kumar, "A Hybrid Deep Neural Network for Multimodal Personalized Hashtag Recommendation", IEEE Transactions on Computational Social Systems (2022). DOI: 10.1109/TCSS.2022.3184307 [Impact Factor: 4.5]
Shubhi Bansal, Rahul Johari, Sapna Chaudhary, Prachi Garg, Riya Bhatia and Kalpana Gupta, e-PRAN: Enhanced prophet routing algorithm in delay tolerant networks, In Journal of Information and Optimization Sciences (2020).
Monika Gupta, Shubhi Bansal, Covid-19 Disruption of Middle-Class Monthly Household Income and Budget, In International Journal of Economics and Financial Issues (2020).
Rahul Johari, Shubhi Bansal, and Kanika Gupta, Routing in IoT using MQTT Protocol, In 12th International Conference on Computational Intelligence and Communication Networks (CICN), IEEE (2020).
Nitesh Kumar Gaurav, Rahul Johari, Samridhi Seth, Sapna Chaudhary, Riya Bhatia, Shubhi Bansal, and Kalpana Gupta, TLC Algorithm in IoT Network for Visually Challenged Persons, In Ambient Communications and Computer Systems, Springer (2020).