Shaojin Bai

According to our database, Shaojin Bai authored at least 10 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

CIV-DG: Conditional Instrumental Variables for Domain Generalization in Medical Imaging.

Shaojin Bai, Yuting Su, Weizhi Nie

CoRR, March, 2026

Multilabel Chest X-Ray Image Classification via Category Disentangled Causal Learning.

Qiang Li, Mengdi Liu, Rihao Chang, Weizhi Nie, Shaojin Bai, Anan Liu

IEEE Trans. Artif. Intell., February, 2026

2025

SCDL: Sketch Causal Disentangled Learning for Sketch-Based 3D Shape Retrieval.

Shaojin Bai, Yalu Li, Rihao Chang, Qi Liang, Weizhi Nie

IEEE Trans. Circuits Syst. Video Technol., July, 2025

DCDL: Dual Causal Disentangled Learning for Zero-Shot Sketch-Based Image Retrieval.

Qiang Li, Shihao Wang, Wei Zhang, Shaojin Bai, Weizhi Nie, Anan Liu

IEEE Trans. Multim., 2025

DLS-HCAN: Duplex Label Smoothing Based Hierarchical Context-Aware Network for Fine-Grained 3D Shape Classification.

Shaojin Bai, Liang Zheng, Jing Bai, Xiangyu Ma

IEEE Trans. Multim., 2025

2024

V²MLP: an accurate and simple multi-view MLP network for fine-grained 3D shape recognition.

Liang Zheng, Jing Bai, Shaojin Bai, Wenjing Li, Bin Peng, Tao Zhou

Vis. Comput., September, 2024

Multi-modal fusion network guided by prior knowledge for 3D CAD model recognition.

Qiang Li, Zibo Xu, Shaojin Bai, Weizhi Nie, Anan Liu

Neurocomputing, 2024

2023

PAGML: Precise Alignment Guided Metric Learning for sketch-based 3D shape retrieval.

Shaojin Bai, Jing Bai, Hao Xu, Jiwen Tuo, Min Liu

Image Vis. Comput., August, 2023

HDA2L: Hierarchical Domain-Augmented Adaptive Learning for sketch-based 3D shape retrieval.

Shaojin Bai, Jing Bai

Knowl. Based Syst., March, 2023

2021

Datasets_PAGML.

Shaojin Bai

Dataset, November, 2021