01
What Improves Multimodal Misinformation Detection? Answers from a Large-Scale Empirical Study
Accepted to the 10th Widening NLP Workshop (WiNLP) at EMNLP 2026
Research output
Publications
Work on multimodal understanding, misinformation analysis, adversarial learning and biomedical computer vision.
02
Small Cues, Big Consequences: Learning Pivotal Cues for Multimodal Meme Classification
Accepted at The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026, Findings)
03
What Makes Multimodal Meme Classification Reliable? A Large-Scale Controlled Study of Fusion, Encoders, and Modality Reliance
Accepted at IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2026
04
MemeTAG: Keyword-Driven Meme Classification through Tag Embedding Reconstruction
Accepted at IEEE/CVF Winter Conference on Applications of Computer Vision 2026 (WACV 26)
05
Robust Fake News Detection via Adversarial Contrastive Learning over Vision–Language Representations
Accepted at 10th International Conference on Computer Vision and Image Processing 2025 (CVIP 25)
06
HDL-SAM: A Hybrid Deep Learning Framework for High-Resolution Imaging in Scanning Acoustic Microscopy
Accepted at IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024
For preprints, supplementary material, or collaboration enquiries, please contact me.