Sijin Yu

According to our database, Sijin Yu authored at least 15 papers between 2024 and 2026.

Collaborative distances:

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

2026

NeurIPS: Neuro-anatomical Inductive Priors for Sphere-based Brain Decoding.

Sijin Yu, Zijiao Chen, Zhenyu Yang, Zihao Tan, Jiakun Xu, Zhongliang Liu, Shengxian Chen, Wenxuan Wu, Xiangmin Xu, Xin Zhang

CoRR, May, 2026

Rank Matters: Understanding and Defending Model Inversion Attacks via Low-Rank Feature Filtering.

Hongyao Yu, Yixiang Qiu, Hao Fang, Tianqu Zhuang, Bin Chen, Sijin Yu, Bin Wang, Shu-Tao Xia, Ke Xu

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

MRI-Based Multi-Scale Multi-Modal Neonatal Brain Age Estimation Framework with Weight-Aware Feature.

Zhenyu Yang, Jiakun Xu, Sijin Yu, Ying Ouyang, Xin Zhang

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

Two-Stage Cortical Surface Reconstruction from MRI with Arbitrary Slice Thickness.

Zhongliang Liu, Wenxuan Wu, Sijin Yu, Zhuoyan Dai, Xin Zhang

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

STU-Net: A Hybrid CNN-Transformer Architecture for Spherical Cortical Surface Registration.

Zhuoyan Dai, Wenxuan Wu, Sijin Yu, Mingjin Chen, Zhongliang Liu, Xin Zhang

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Retrievals Can Be Detrimental: A Contrastive Backdoor Attack Paradigm on Retrieval-Augmented Diffusion Models.

Hao Fang, Xiaohang Sui, Hongyao Yu, Jiawei Kong, Sijin Yu, Bin Chen, Hao Wu, Shu-Tao Xia

CoRR, January, 2025

Hierarchical reinforcement learning for dynamic collision avoidance of autonomous ships under uncertain scenarios.

Sijin Yu, Yunbo Li, Jiaye Gong

Knowl. Based Syst., 2025

TissueAgeNet: Quantitative Textual Guidance for Tissue Level Brain Age Estimation.

Shengxian Chen, Wenxuan Wu, Xin Zhang, Jiakun Xu, Sijin Yu, Yao Lv, Tong Xiong, Jimin Guo, Chaoxiang Yang, Xiangmin Xu

Proceedings of the Machine Learning in Medical Imaging - 16th International Workshop, 2025

Ga-Shape: A Dual-Path Framework Guided by Gestational Age and Local Shape Descriptors for Fetal Brain MRI Segmentation.

Jiayan Lv, Xin Zhang, Wenxuan Wu, Sijin Yu

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

EMSSD: Two-Stage Model Enhancing Medical Image Segmentation Based on Stable Diffusion.

Ruiyue Chen, Xin Zhang, Tianyu Lin, Sijin Yu

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

SSS: Signature-Sequence-Statistical Model for Exploring the Impact of Prenatal Depression on Newborns' Brain Using FNIRS.

Zhaojin Chen, Sijin Yu, Xuejiao Li, Huirong Lei, Jiyu Qian, Yingxue Yao, Zicong Zheng, Guodong Liang, Xiaofen Xing, Xin Zhang, Chengfang Xu

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

From Flat to Round: Redefining Brain Decoding with Surface-Based fMRI and Cortex Structure.

Sijin Yu, Zijiao Chen, Wenxuan Wu, Shengxian Chen, Zhongliang Liu, Jingxin Nie, Xiaofen Xing, Xiangmin Xu, Xin Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Drawing Developmental Trajectory From Cortical Surface Reconstruction.

Wenxuan Wu, Ruowen Qu, Zhongliang Liu, Zhuoyan Dai, Dongzi Shi, Sijin Yu, Tong Xiong, Shiping Liu, Xiangmin Xu, Xiaofen Xing, Xin Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

CALoR: Towards Comprehensive Model Inversion Defense.

Hongyao Yu, Yixiang Qiu, Hao Fang, Bin Chen, Sijin Yu, Bin Wang, Shu-Tao Xia, Ke Xu

CoRR, 2024

Attention-Based-Features-Fusion Emotion-Guided fNIRS Classification Network for Prenatal Depression Recognition.

Sijin Yu, Xuejiao Li, Huirong Lei, Yingxue Yao, Zhaojin Chen, Zicong Zheng, Guodong Liang, Xiaofen Xing, Xin Zhang, Chengfang Xu

Proceedings of the Predictive Intelligence in Medicine - 7th International Workshop, 2024