Misspelling Detection from Noisy Product Images. - Varun Nagaraj Rao; Mingwei Shen 001 (COLING (Industry), 2020)

A First Look: Towards Explainable TextVQA Models via Visual and Textual Explanations. - Varun Nagaraj Rao; Xingjian Zhen; Karen Hovsepian; Mingwei Shen 001 (CoRR, 2021)

Amazon PARS at Memotion 2.0 2022: Multi-modal Multi-task Learning for Memotion 2.0 Challenge (short paper). - Gwang-Gook Lee; Mingwei Shen 001 (DE-FACTIFY@AAAI, 2022)

Semantic matching for text classification with complex class descriptions. - Brian de Silva; Kuan-Wen Huang; Gwang Lee; Karen Hovsepian; Yan Xu; Mingwei Shen 001 (EMNLP, 2023)

Are large language models good annotators? - Jay Mohta; Kenan E. Ak; Yan Xu; Mingwei Shen 001 (ICBINB, 2023)

Leveraging Efficient Training and Feature Fusion in Transformers for Multimodal Classification. - Kenan Emir Ak; Gwang-Gook Lee; Yan Xu; Mingwei Shen 001 (ICIP, 2023)

NICE: CVPR 2023 Challenge on Zero-shot Image Captioning. - Taehoon Kim; Pyunghwan Ahn; Sangyun Kim; Sihaeng Lee; Mark Marsden; Alessandra Sala; Seung Hwan Kim; Bohyung Han; Kyoung Mu Lee; Honglak Lee; Kyounghoon Bae; Xiangyu Wu; et al. (CVPR Workshops, 2024)

Aligning Vision Language Models with Contrastive Learning. - Kenan E. Ak; Jay Mohta; Dimitris Dimitriadis; Saurav Manchanda; Yan Xu; Mingwei Shen 001 (ECCV Workshops (18), 2024)

Don't Just Demo, Teach Me the Principles: A Principle-Based Multi-Agent Prompting Strategy for Text Classification. - Peipei Wei; Dimitris Dimitriadis; Yan Xu; Mingwei Shen 001 (CoRR, 2025)