Token Transformation Matters: Towards Faithful Post-Hoc Explanation for Vision Transformer. - Junyi Wu 002; Bin Duan; Weitai Kang; Hao Tang 005; Yan Yan 002 (CVPR, 2024)

On the Faithfulness of Vision Transformer Explanations. - Junyi Wu 002; Weitai Kang; Hao Tang 005; Yuan Hong 001; Yan Yan 002 (CVPR, 2024)

Dataset Quantization with Active Learning Based Adaptive Sampling. - Zhenghao Zhao; Yuzhang Shang; Junyi Wu 002; Yan Yan 002 (ECCV (60), 2024)

PTQ4DiT: Post-training Quantization for Diffusion Transformers. - Junyi Wu 002; Haoxuan Wang 002; Yuzhang Shang; Mubarak Shah; Yan Yan 002 (NeurIPS, 2024)

QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning. - Haoxuan Wang 002; Yuzhang Shang; Zhihang Yuan; Junyi Wu 002; Yan Yan 002 (CoRR, 2024)

Visual Grounding with Attention-Driven Constraint Balancing. - Weitai Kang; Luowei Zhou; Junyi Wu 002; Changchang Sun; Yan Yan 002 (CoRR, 2024)

Intelligent salivary biosensors for periodontitis: in vitro simulation of oral oxidative stress conditions. - Haritha George; Yani Sun; Junyi Wu 002; Yan Yan 002; Rong Wang; Russell P. Pesavento; Mathew T. Mathew (Medical Biol. Eng. Comput., 2024)

X-Field: A Physically Grounded Representation for 3D X-ray Reconstruction. - Feiran Wang; Jiachen Tao; Junyi Wu 002; Haoxuan Wang 002; Bin Duan; Kai Wang; Zongxin Yang; Yan Yan 002 (CoRR, 2025)

CaO2: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation. - Haoxuan Wang 002; Zhenghao Zhao; Junyi Wu 002; Yuzhang Shang; Gaowen Liu; Yan Yan 002 (CoRR, 2025)