Jingkun Chen

According to our database, Jingkun Chen authored at least 36 papers between 2017 and 2026.

Collaborative distances:

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

2026

Reinforcing 3D Understanding in Point-VLMs via Geometric Reward Credit Assignment.

Jingkun Chen, Ruoshi Xu, Mingqi Gao, Shengda Luo, Jungong Han

CoRR, April, 2026

From Gaze to Insight: Bridging Human Visual Attention and Vision Language Model Explanation for Weakly-Supervised Medical Image Segmentation.

Jingkun Chen, Haoran Duan, Xiao Zhang, Boyan Gao, Vicente Grau, Jungong Han

IEEE Trans. Medical Imaging, March, 2026

Evo: Autoregressive-Diffusion Large Language Models with Evolving Balance.

Junde Wu, Minhao Hu, Jiayuan Zhu, Yuyuan Liu, Tianyi Zhang, Kang Li, Jingkun Chen, Jiazhen Pan, Min Xu, Yueming Jin

CoRR, March, 2026

Following the Diagnostic Trace: Visual Cognition-guided Cooperative Network for Chest X-Ray Diagnosis.

Shaoxuan Wu, Jingkun Chen, Chong Ma, Cong Shen, Xiao Zhang, Jun Feng

CoRR, February, 2026

GiTNet: A graph-based trajectory-informed network for gaze-supervised medical image segmentation.

Shaoxuan Wu, Xiao Zhang, Jingkun Chen, Xinyu Zhang, Yaqiong Xing, Jun Feng

Medical Image Anal., 2026

TABNet: A Triplet Augmentation Self-recovery framework with Boundary-aware Pseudo-labels for scribble-based medical image segmentation.

Peilin Zhang, Shaoxuan Wu, Jun Feng, Zhuo Jin, Zhizezhang Gao, Jingkun Chen, Yaqiong Xing, Xiao Zhang

Image Vis. Comput., 2026

Balancing light and shadow: Multi-modal image exposure restoration via frequency-phase-driven RGB-IR integration.

Jingkun Chen, Jingchao Peng, Junde Wu, Tianlu Zhang, Thomas Bashford-Rogers, Kurt Debattista, Vicente Grau, Jungong Han

Inf. Fusion, 2026

2025

VDNeRF: Vision-only Dynamic Neural Radiance Field for Urban Scenes.

Zhengyu Zou, Jingfeng Li, Hao Li, Xiaolei Hou, Jinwen Hu, Jingkun Chen, Lechao Cheng, Dingwen Zhang

CoRR, November, 2025

H-Calibration: Rethinking Classifier Recalibration With Probabilistic Error-Bounded Objective.

Wenjian Huang, Guiping Cao, Jiahao Xia, Jingkun Chen, Hao Wang, Jianguo Zhang

IEEE Trans. Pattern Anal. Mach. Intell., October, 2025

LSVOS 2025 Challenge Report: Recent Advances in Complex Video Object Segmentation.

Chang Liu, Henghui Ding, Kaining Ying, Lingyi Hong, Ning Xu, Linjie Yang, Yuchen Fan, Mingqi Gao, Jingkun Chen, Yunqi Miao, Gengshen Wu, Zhijin Qin, Jungong Han, Zhixiong Zhang, Shuangrui Ding, Xiaoyi Dong, Yuhang Zang, Yuhang Cao, Jiaqi Wang, Chang Soo Lim, Joonyoung Moon, Donghyeon Cho, Tingmin Li, Yixuan Li, Yang Yang, An Yan, Leilei Cao, Feng Lu, Ran Hong, Youhai Jiang, Fengjie Zhu, Yujie Xie, Hongyang Zhang, Zhihui Liu, Shihai Ruan, Quanzhu Niu, Dengxian Gong, Shihao Chen, Tao Zhang, Yikang Zhou, Haobo Yuan, Lu Qi, Xiangtai Li, Shunping Ji, Alexey Nekrasov, Ali Athar, Daan de Geus, Alexander Hermans, Bastian Leibe

CoRR, October, 2025

The 1st Solution for CARE Liver Task Challenge 2025: Contrast-Aware Semi-Supervised Segmentation with Domain Generalization and Test-Time Adaptation.

Jincan Lou, Jingkun Chen, Haoquan Li, Hang Li, Wenjian Huang, Weihua Chen, Fan Wang, Jianguo Zhang

CoRR, October, 2025

The 1st Solution for MOSEv2 Challenge 2025: Long-term and Concept-aware Video Segmentation via SeC.

Mingqi Gao, Jingkun Chen, Yunqi Miao, Gengshen Wu, Zhijin Qin, Jungong Han

CoRR, September, 2025

PASC-Net:Plug-and-play Shape Self-learning Convolutions Network with Hierarchical Topology Constraints for Vessel Segmentation.

Xiao Zhang, Zhuo Jin, Shaoxuan Wu, Fengyu Wang, Guansheng Peng, Xiang Zhang, Ying Huang, Jingkun Chen, Jun Feng

CoRR, July, 2025

TABNet: A Triplet Augmentation Self-Recovery Framework with Boundary-Aware Pseudo-Labels for Medical Image Segmentation.

Peilin Zhang, Shaouxan Wua, Jun Feng, Zhuo Jin, Zhizezhang Gao, Jingkun Chen, Yaqiong Xing, Xiao Zhang

CoRR, July, 2025

AuralSAM2: Enabling SAM2 Hear Through Pyramid Audio-Visual Feature Prompting.

Yuyuan Liu, Yuanhong Chen, Chong Wang, Junlin Han, Junde Wu, Can Peng, Jingkun Chen, Yu Tian, Gustavo Carneiro

CoRR, June, 2025

From Gaze to Insight: Bridging Human Visual Attention and Vision Language Model Explanation for Weakly-Supervised Medical Image Segmentation.

Jingkun Chen, Haoran Duan, Xiao Zhang, Boyan Gao, Tao Tan, Vicente Grau, Jungong Han

CoRR, April, 2025

Addressing Inconsistent Labeling With Cross Image Matching for Scribble-Based Medical Image Segmentation.

Jingkun Chen, Wenjian Huang, Jianguo Zhang, Kurt Debattista, Jungong Han

IEEE Trans. Image Process., 2025

HELPNet: Hierarchical perturbations consistency and entropy-guided ensemble for scribble supervised medical image segmentation.

Xiao Zhang, Shaoxuan Wu, Peilin Zhang, Zhuo Jin, Xiaosong Xiong, Qirong Bu, Jingkun Chen, Jun Feng

Medical Image Anal., 2025

MedIQA: A Scalable Foundation Model for Prompt-Driven Medical Image Quality Assessment.

Siyi Xun, Yue Sun, Jingkun Chen, Zitong Yu, Tong Tong, Xiaohong Liu, Mingxiang Wu, Tao Tan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

SAMASK-CLTR: A Spatial-Aware Mask Guided Learning Model for Benign and Malignant Tumor Classification in ABUS.

Peirong Xu, Luoqian Zhu, Jingkun Chen, Xin Qian, Yue Sun, Lingyun Bao, Tao Tan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Graph-Based Neighbor-Aware Network for Gaze-Supervised Medical Image Segmentation.

Shaoxuan Wu, Jingkun Chen, Zhuo Jin, Peilin Zhang, Zhizezhang Gao, Jun Feng, Xiao Zhang, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

TRACE: Temporally Reliable Anatomically-Conditioned 3D CT Generation with Enhanced Efficiency.

Minye Shao, Xingyu Miao, Haoran Duan, Zeyu Wang, Jingkun Chen, Yawen Huang, Xian Wu, Jingjing Deng, Yang Long, Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Contrast-Free Myocardial Scar Segmentation in Cine MRI using Motion and Texture Fusion.

Guang Yang, Jingkun Chen, Xicheng Sheng, Shan Yang, Xiahai Zhuang, Betty Raman, Lei Li, Vicente Grau

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

Medical Graph RAG: Evidence-based Medical Large Language Model via Graph Retrieval-Augmented Generation.

Junde Wu, Jiayuan Zhu, Yunli Qi, Jingkun Chen, Min Xu, Filippo Menolascina, Yueming Jin, Vicente Grau

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Unsupervised Patch-GAN with Targeted Patch Ranking for Fine-Grained Novelty Detection in Medical Imaging.

Jingkun Chen, Guang Yang, Xiao Zhang, Jingchao Peng, Tianlu Zhang, Jianguo Zhang, Jungong Han, Vicente Grau

Proceedings of the AAAI Bridge Program on AI for Medicine and Healthcare, 2025

2024

Dynamic contrastive learning guided by class confidence and confusion degree for medical image segmentation.

Jingkun Chen, Changrui Chen, Wenjian Huang, Jianguo Zhang, Kurt Debattista, Jungong Han

Pattern Recognit., January, 2024

Luminance Component Analysis for Exposure Correction.

Jingchao Peng, Thomas Bashford-Rogers, Jingkun Chen, Haitao Zhao, Zhengwei Hu, Kurt Debattista

CoRR, 2024

2023

Semi-Supervised Unpaired Medical Image Segmentation Through Task-Affinity Consistency.

Jingkun Chen, Jianguo Zhang, Kurt Debattista, Jungong Han

IEEE Trans. Medical Imaging, March, 2023

2022

Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge.

Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li

Medical Image Anal., 2022

2020

Counterfeit Anomaly Using Generative Adversarial Network for Anomaly Detection.

Haocheng Shen, Jingkun Chen, Ruixuan Wang, Jianguo Zhang

IEEE Access, 2020

Deep Class-Specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation.

Jingkun Chen, Wenqi Li, Hongwei Li, Jianguo Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-sequence Cardiac MR Images Segmentation.

Jingkun Chen, Hongwei Li, Jianguo Zhang, Bjoern H. Menze

Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

2018

Exploiting Cumulative Positive Feedback Information for One-Bit Feedback Synchronization Algorithm.

Ning Xie, Kai Xu, Jingkun Chen

IEEE Trans. Veh. Technol., 2018

Position optimisation for multiple mobile relays by utilising one-bit feedback information.

Ning Xie, Yuan Liang, Jingkun Chen

IET Commun., 2018

2017

Online Monitoring of Manufacturing Process Based on autoCEP.

Jinglei Qu, Shaobo Li, Jingkun Chen

Int. J. Online Eng., 2017

Position optimization for mobile relay by utilizing one-bit feedback information.

Ning Xie, Jingkun Chen, Yuan Liang, Hui Wang

Proceedings of the 17th IEEE International Conference on Ubiquitous Wireless Broadband, 2017