Shubhi Bansal

According to our database, Shubhi Bansal authored at least 24 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2026

A multimodal-multitask framework with cross-modal relation and hierarchical interactive attention for semantic comprehension.

Mohammad Zia Ur Rehman, Devraj Raghuvanshi, Umang Jain, Shubhi Bansal, Nagendra Kumar

Inf. Fusion, 2026

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

CoRR, May, 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

CoRR, March, 2025

Sentiment and hashtag-aware attentive deep neural network for multimodal post popularity prediction.

Shubhi Bansal, Mohit Kumar, Chandravardhan Singh Raghaw, Nagendra Kumar

Neural Comput. Appl., February, 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

Eng. Appl. Artif. Intell., 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

Biomed. Signal Process. Control., 2025

Retrieval Augmented Encoder-Decoder with Diffusion for Sequential Hashtag Recommendation in Disaster Events.

Shubhi Bansal, Seerla Parimala, Nagendra Kumar

Proceedings of the Nineteenth International AAAI Conference on Web and Social Media, 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, Shekhar Nayak

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Multilingual personalized hashtag recommendation for low resource Indic languages using graph-based deep neural network.

Shubhi Bansal, Kushaan Gowda, Nagendra Kumar

Expert Syst. Appl., February, 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

Knowl. Based Syst., 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

Eng. Appl. Artif. Intell., 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, Matt Coler

CoRR, 2024

A Human-Centered Approach for Improving Supervised Learning.

Shubhi Bansal, Atharva Tendulkar, Nagendra Kumar

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

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

CoRR, 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

Comput. Biol. Medicine, 2024

Computational Gastronomy and Eating with Acoustophoresis.

Lei Gao, Yutaka Tokuda, Shubhi Bansal, Sriram Subramanian

Proceedings of the Companion Proceedings of the 26th International Conference on Multimodal Interaction, 2024

2023

A Hybrid Deep Neural Network for Multimodal Personalized Hashtag Recommendation.

Shubhi Bansal, Kushaan Gowda, Nagendra Kumar

IEEE Trans. Comput. Soc. Syst., October, 2023

MahaEmoSen: Towards Emotion-aware Multimodal Marathi Sentiment Analysis.

Prasad Chaudhari, Pankaj Nandeshwar, Shubhi Bansal, Nagendra Kumar

ACM Trans. Asian Low Resour. Lang. Inf. Process., September, 2023

Hashtag recommendation for enhancing the popularity of social media posts.

Purnadip Chakrabarti, Eish Malvi, Shubhi Bansal, Nagendra Kumar

Soc. Netw. Anal. Min., 2023

2022

A multimedia recommendation model based on collaborative graph.

Breda Lim, Shubhi Bansal, Ahmed Buru, Kayla Manthey

CoRR, 2022

2020

HapBead: On-Skin Microfluidic Haptic Interface using Tunable Bead.

Teng Han, Shubhi Bansal, Xiaochen Shi, Yanjun Chen, Baogang Quan, Feng Tian, Hongan Wang, Sriram Subramanian

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2018

On-Chip Magnetic Bead and Nanoparticle Separation in Compound Droplet EWOD.

Shubhi Bansal, Prosenjit Sen

Proceedings of the 13th IEEE Annual International Conference on Nano/Micro Engineered and Molecular Systems, 2018