Jinjing Zhu

According to our database, Jinjing Zhu authored at least 29 papers between 2019 and 2026.

Collaborative distances:

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

2026

Vetaverse: Technologies, Applications, and Visions toward the Intersection of Metaverse, AI, Vehicles, and Transportation Systems.

Peng Yuan Zhou, Jinjing Zhu, Yiting Wang, Yunfan Lu, Zixiang Wei, Haolin Shi, Yuchen Ding, Yu Gao, Qinglong Huang, Yan Shi, Ahmad Alhilal, Lik-Hang Lee, Tristan Braud, Pan Hui, Lin Wang

IEEE Trans. Artif. Intell., June, 2026

SRTJ: Self-Evolving Rule-Driven Training-Free LLM Jailbreaking.

Jindong Li, Ying Liu, Yali Fu, Jinjing Zhu, Leyao Wang, Menglin Yang, Rex Ying

CoRR, May, 2026

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

IEEE Trans. Pattern Anal. Mach. Intell., April, 2026

Holo360D: A Large-Scale Real-World Dataset with Continuous Trajectories for Advancing Panoramic 3D Reconstruction and Beyond.

Jing Ou, Zidong Cao, Yinrui Ren, Zhuoxiao Li, Jinjing Zhu, Tongyan Hua, Shuai Zhang, Hui Xiong, Wufan Zhao

CoRR, April, 2026

EventVGGT: Exploring Cross-Modal Distillation for Consistent Event-based Depth Estimation.

Yinrui Ren, Jinjing Zhu, Kanghao Chen, Zhuoxiao Li, Jing Ou, Zidong Cao, Tongyan Hua, Peilun Shi, Yingchun Fu, Wufan Zhao, Hui Xiong

CoRR, March, 2026

Application of machine learning to mechanical properties of composite materials: A ten-year review (2015-2025).

Jinjing Zhu, Ruixiang Bai, Yaoxing Xu, Jiantong Wang, Longchao He, Zhenkun Lei, Cheng Yan

Eng. Appl. Artif. Intell., 2026

2025

Beyond a Single Light: A Large-Scale Aerial Dataset for Urban Scene Reconstruction Under Varying Illumination.

Zhuoxiao Li, Wenzong Ma, Taoyu Wu, Jinjing Zhu, Zhenchao Q, Shuai Zhang, Jing Ou, Yinrui Ren, Weiqing Qi, Guobin Shen, Hui Xiong, Wufan Zhao

CoRR, December, 2025

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective.

Jinjing Zhu, Songze Li, Lin Wang

CoRR, January, 2025

Source-Free Cross-Modal Knowledge Transfer by Unleashing the Potential of Task-Irrelevant Data.

Jinjing Zhu, Yucheng Chen, Lin Wang

IEEE Trans. Image Process., 2025

An Event-tailored State-Space Based Model for Pedestrian Detection.

Liuyi Li, Feng Shi, Jian Wang, Jinjing Zhu, Wenze Shao

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Depth Any Event Stream: Enhancing Event-based Monocular Depth Estimation via Dense-to-Sparse Distillation.

Jinjing Zhu, Tianbo Pan, Zidong Cao, Yexin Liu, James T. Kwok, Hui Xiong

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

PanDA: Towards Panoramic Depth Anything with Unlabeled Panoramas and Mobius Spatial Augmentation.

Zidong Cao, Jinjing Zhu, Weiming Zhang, Hao Ai, Haotian Bai, Hengshuang Zhao, Lin Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Test-Time Adaptation for Nighttime Color-Thermal Semantic Segmentation.

Yexin Liu, Weiming Zhang, Guoyang Zhao, Jinjing Zhu, Athanasios V. Vasilakos, Lin Wang

IEEE Trans. Artif. Intell., October, 2024

Energy-Based Domain-Adaptive Segmentation With Depth Guidance.

Jinjing Zhu, Zhedong Hu, Tae-Kyun Kim, Lin Wang

IEEE Robotics Autom. Lett., August, 2024

A Versatile Framework for Unsupervised Domain Adaptation Based on Instance Weighting.

Jinjing Zhu, Feiyang Ye, Qiao Xiao, Pengxin Guo, Yu Zhang, Qiang Yang

IEEE Trans. Image Process., 2024

CLIP the Divergence: Language-guided Unsupervised Domain Adaptation.

Jinjing Zhu, Yucheng Chen, Lin Wang

CoRR, 2024

Any360D: Towards 360 Depth Anything with Unlabeled 360 Data and Möbius Spatial Augmentation.

Zidong Cao, Jinjing Zhu, Weiming Zhang, Lin Wang

CoRR, 2024

Towards Dynamic and Small Objects Refinement for Unsupervised Domain Adaptative Nighttime Semantic Segmentation.

Jingyi Pan, Sihang Li, Yucheng Chen, Jinjing Zhu, Lin Wang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Open-Set Semi-Supervised Learning by Distribution Alignment.

Qiao Xiao, Jinjing Zhu, Boqian Wu, Yu Zhang

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

A Unified Framework for Unsupervised Domain Adaptation based on Instance Weighting.

Jinjing Zhu, Feiyang Ye, Qiao Xiao, Pengxin Guo, Yu Zhang, Qiang Yang

CoRR, 2023

A Good Student is Cooperative and Reliable: CNN-Transformer Collaborative Learning for Semantic Segmentation.

Jinjing Zhu, Yunhao Luo, Xu Zheng, Hao Wang, Lin Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective.

Jinjing Zhu, Haotian Bai, Lin Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation.

Xu Zheng, Jinjing Zhu, Yexin Liu, Zidong Cao, Chong Fu, Lin Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SEPT: Towards Scalable and Efficient Visual Pre-training.

Yiqi Lin, Huabin Zheng, Huaping Zhong, Jinjing Zhu, Weijia Li, Conghui He, Lin Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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, Tristan Braud, Pan Hui, Lin Wang

CoRR, 2022

Deep Learning for Omnidirectional Vision: A Survey and New Perspectives.

Hao Ai, Zidong Cao, Jinjing Zhu, Haotian Bai, Yucheng Chen, Lin Wang

CoRR, 2022

Selective Partial Domain Adaptation.

Pengxin Guo, Jinjing Zhu, Yu Zhang

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2019

Atrial Fibrillation Detection using Different Duration ECG Signals with SE-ResNet.

Jinjing Zhu, Yue Zhang, Qingqing Zhao

Proceedings of the 21st IEEE International Workshop on Multimedia Signal Processing, 2019

A Multi-label Learning Method to Detect Arrhythmia Based on 12-Lead ECGs.

Jinjing Zhu, Kaifa Xin, Qingqing Zhao, Yue Zhang

Proceedings of the Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting, 2019