A Multi-label Learning Method to Detect Arrhythmia Based on 12-Lead ECGs. - Jinjing Zhu; Kaifa Xin; Qingqing Zhao; Yue Zhang (MLMECH/CVII-STENT@MICCAI, 2019)

Atrial Fibrillation Detection using Different Duration ECG Signals with SE-ResNet. - Jinjing Zhu; Yue Zhang; Qingqing Zhao (MMSP, 2019)

Selective Partial Domain Adaptation. - Pengxin Guo; Jinjing Zhu; Yu Zhang (BMVC, 2022)

Deep Learning for Omnidirectional Vision: A Survey and New Perspectives. - Hao Ai; Zidong Cao; Jinjing Zhu; Haotian Bai; Yucheng Chen 002; Lin Wang 025 (CoRR, 2022)

Vetaverse: Technologies, Applications, and Visions toward the Intersection of Metaverse, Vehicles, and Transportation Systems. - Pengyuan Zhou; Jinjing Zhu; Yiting Wang; Yunfan Lu; Zixiang Wei; Haolin Shi; Yuchen Ding; Yu Gao; Qinglong Huang; Yan Shi; Ahmad Yousef Alhilal; Lik-Hang Lee; et al. (CoRR, 2022)

SEPT: Towards Scalable and Efficient Visual Pre-training. - Yiqi Lin; Huabin Zheng; Huaping Zhong; Jinjing Zhu; Weijia Li; Conghui He; Lin Wang 025 (AAAI, 2023)

Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation. - Xu Zheng 002; Jinjing Zhu; Yexin Liu; Zidong Cao; Chong Fu 001; Lin Wang 025 (CVPR, 2023)

Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective. - Jinjing Zhu; Haotian Bai; Lin Wang 025 (CVPR, 2023)

A Good Student is Cooperative and Reliable: CNN-Transformer Collaborative Learning for Semantic Segmentation. - Jinjing Zhu; Yunhao Luo 001; Xu Zheng 002; Hao Wang 005; Lin Wang 025 (ICCV, 2023)

A Unified Framework for Unsupervised Domain Adaptation based on Instance Weighting. - Jinjing Zhu; Feiyang Ye 001; Qiao Xiao; Pengxin Guo; Yu Zhang 006; Qiang Yang 001 (CoRR, 2023)

Open-Set Semi-Supervised Learning by Distribution Alignment. - Qiao Xiao; Jinjing Zhu; Boqian Wu; Yu Zhang (IJCNN, 2024)

Towards Dynamic and Small Objects Refinement for Unsupervised Domain Adaptative Nighttime Semantic Segmentation. - Jingyi Pan 001; Sihang Li 003; Yucheng Chen 002; Jinjing Zhu; Lin Wang 025 (IROS, 2024)

Any360D: Towards 360 Depth Anything with Unlabeled 360 Data and Möbius Spatial Augmentation. - Zidong Cao; Jinjing Zhu; Weiming Zhang 001; Lin Wang 025 (CoRR, 2024)

CLIP the Divergence: Language-guided Unsupervised Domain Adaptation. - Jinjing Zhu; Yucheng Chen 002; Lin Wang 025 (CoRR, 2024)

A Versatile Framework for Unsupervised Domain Adaptation Based on Instance Weighting. - Jinjing Zhu; Feiyang Ye 001; Qiao Xiao; Pengxin Guo; Yu Zhang 006; Qiang Yang 001 (IEEE Trans. Image Process., 2024)

Energy-Based Domain-Adaptive Segmentation With Depth Guidance. - Jinjing Zhu; Zhedong Hu; Tae-Kyun Kim 001; Lin Wang 025 (IEEE Robotics Autom. Lett., 2024)

Test-Time Adaptation for Nighttime Color-Thermal Semantic Segmentation. - Yexin Liu; Weiming Zhang 001; Guoyang Zhao; Jinjing Zhu; Athanasios V. Vasilakos; Lin Wang 025 (IEEE Trans. Artif. Intell., 2024)

PanDA: Towards Panoramic Depth Anything with Unlabeled Panoramas and Mobius Spatial Augmentation. - Zidong Cao; Jinjing Zhu; Weiming Zhang 001; Hao Ai; Haotian Bai; Hengshuang Zhao; Lin Wang 025 (CVPR, 2025)

Source-Free Cross-Modal Knowledge Transfer by Unleashing the Potential of Task-Irrelevant Data. - Jinjing Zhu; Yucheng Chen 002; Lin Wang 025 (IEEE Trans. Image Process., 2025)

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective. - Jinjing Zhu; Songze Li; Lin Wang (CoRR, 2025)

Exploring the Vulnerabilities of Federated Learning: A Deep Dive into Gradient Inversion Attacks. - Pengxin Guo; Runxi Wang; Shuang Zeng; Jinjing Zhu; Haoning Jiang; Yanran Wang; Yuyin Zhou; Feifei Wang; Hui Xiong; Liangqiong Qu (CoRR, 2025)