SafeGrad: A Severity-Graded Benchmark for Safety Evaluation, Defense, and Attack of Text-to-Image Models MinhDuc Vo, Jiaxuan Li, Huy H. Nguyen, Pride Kavumba, Koki Wataoka WACV 2027
The Guardrail Trinity: Procedural Safety Schemas, Reasoning Chain Decomposition, and Dual-Mode Inference for LLM Guardrails Huy H. Nguyen, Pride Kavumba, Jiaxuan Li, MinhDuc Vo, Koki Wataoka AACL 2026
Do VLMs Share Safety Neurons Across Modalities? Jiaxuan Li*, Jiahao Zhang*, MinhDuc Vo, Huy H. Nguyen, Pride Kavumba, Koki Wataoka EMNLP 2026 (Main) Paper Project
NEMO: Can Multimodal LLMs Identify Attribute-Modified Objects? Jiaxuan Li, Junwen Mo, MinhDuc Vo, Akihiro Sugimoto, Hideki Nakayama arXiv:2411.17794 Paper Project
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 Project 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 Project
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 Project 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 Project
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)