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International Publications

^* Equal contribution

	Do VLMs Share Safety Neurons Across Modalities? Jiaxuan Li^, Jiahao Zhang^, MinhDuc Vo, Huy H. Nguyen, Pride Kavumba, Koki Wataoka EMNLP 2026 (Main)
	NEMO: Can Multimodal LLMs Identify Attribute-Modified Objects? Jiaxuan Li, Junwen Mo, MinhDuc Vo, Akihiro Sugimoto, Hideki Nakayama arXiv:2411.17794 paper website code
	EVCap: Retrieval-Augmented Image Captioning with External Visual-Name Memory for Open-World Comprehension Jiaxuan Li^, Duc Minh Vo^, Akihiro Sugimoto, Hideki Nakayama CVPR 2024 paper website code
	Partition-And-Debias: Agnostic Biases Mitigation via a Mixture of Biases-Specific Experts Jiaxuan Li, Duc Minh Vo, Hideki Nakayama ICCV 2023 paper code
	Multi-scale Sparse Representation-Based Shadow Inpainting for Retinal OCT Images Yaoqi Tang, Yufan Li, Hongshan Liu, Jiaxuan Li, Peiyao Jin, Yu Gan, Yuye Ling, Yikai Su SPIE MI 2022 (Image Processing Student Paper Award) paper website
	Multi-scale GCN-assisted two-stage network for joint segmentation of retinal layers and discs in peripapillary OCT images Jiaxuan Li, Peiyao Jin, Jianfeng Zhu, Haidong Zou, Xun Xu, Min Tang, Minwen Zhou, Yu Gan, Jiangnan He, Yuye Ling, Yikai Su BOE 2021 paper website code
	A GCN-assisted deep learning method for peripapillary retinal layer segmentation in OCT images Jiaxuan Li, Yuye Ling, Jiangnan He, Peiyao Jin, Jianfeng Zhu, Haidong Zou, Xun Xu, Shuo Shao, Yu Gan, Yikai Su SPIE PW 2021 paper website

Multimodal Large Language Model Meets New Knowledge: A Preliminary Study
Junwen Mo, Jiaxuan Li, Duc Minh Vo, Hideki Nakayama
NLP 2024 (Special Committee Award)
Biases mitigation in medical images via knowledge guidance
Jiaxuan Li, Duc Minh Vo, Kohei Murao, Hiroyuki Abe, Tetsuo Ushiku, Shin'ichi Satoh, Hideki Nakayama
EmSemi 2023 (Idea Presentation)