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ORCIDHarry Qin
Jing Qin 0001
Person information
- affiliation: Hong Kong Polytechnic University, School of Nursing, Centre for Smart Health, Hong Kong
- affiliation (former): Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, China
- affiliation (former): National University of Singapore, Department of Diagnostic Radiology, Singapore
- affiliation (PhD 2009): Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
Other persons with the same name
- Jing Qin — disambiguation page
- Jing Qin 0002
![[0000-0003-2380-0396]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-2380-0396")
— Shandong University, School of Mathematics, Jinan, China - Jing Qin 0003 — University of Kentucky, Department of Mathematics, Lexington, KY, USA (and 3 more)
- Jing Qin 0004 — Chinese University of Hong Kong, School of Life Sciences, Hong Kong (and 1 more)
- Jing Qin 0005 — Northeastern University, School of Computer Science and Engineering, Shenyang, China
- Jing Qin 0006 — University of Southern Denmark, Department of Mathematics and Computer Science, Odense, Denmark (and 2 more)
- Jing Qin 0007 — Dalian University, School of Software Engineering, Dalian, China
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2020 – today
- 2025
[j218]Wenlong Hang, Kui Bai, Shuang Liang, Qingfeng Zhang, Qiang Wu, Yukun Jin, Qiong Wang, Jing Qin:
Reliable semi-supervised mutual learning framework for medical image segmentation. Biomed. Signal Process. Control. 99: 106798 (2025)- [j217]Wenlong Hang, Peng Dai, Chengao Pan, Shuang Liang, Qingfeng Zhang, Qiang Wu, Yukun Jin, Qiong Wang, Jing Qin:
Pseudo-label guided selective mutual learning for semi-supervised 3D medical image segmentation. Biomed. Signal Process. Control. 100: 107144 (2025) - [j216]Kang Wang, Feiyang Zheng, Dayan Guan, Jia Liu, Jing Qin:
Distilling heterogeneous knowledge with aligned biological entities for histological image classification. Pattern Recognit. 160: 111173 (2025) - [j215]Yidan Feng, Sen Deng, Jun Lyu, Jing Cai, Mingqiang Wei, Jing Qin:
Bridging MRI Cross-Modality Synthesis and Multi-Contrast Super-Resolution by Fine-Grained Difference Learning. IEEE Trans. Medical Imaging 44(1): 373-383 (2025) - 2024
- [j214]Xiaoke Hao, Jiawang Li, Mingming Ma, Jing Qin, Daoqiang Zhang, Feng Liu:
Hypergraph convolutional network for longitudinal data analysis in Alzheimer's disease. Comput. Biol. Medicine 168: 107765 (2024) - [j213]Jing Zou, Youyi Song, Lihao Liu, Angelica I. Avilés-Rivero, Jing Qin:
Unsupervised lung CT image registration via stochastic decomposition of deformation fields. Comput. Medical Imaging Graph. 115: 102397 (2024) - [j212]Haoneng Lin, Jing Zou, Kang Wang, Yidan Feng, Cheng Xu, Jun Lyu, Jing Qin:
Dual-space high-frequency learning for transformer-based MRI super-resolution. Comput. Methods Programs Biomed. 250: 108165 (2024) - [j211]Pan Huang, Chentao Li, Peng He, Hualiang Xiao, Yifang Ping, Peng Feng, Sukun Tian, Hu Chen, Francesco Mercaldo, Antonella Santone, Hui-yuan Yeh, Jing Qin:
MamlFormer: Priori-experience guiding transformer network via manifold adversarial multi-modal learning for laryngeal histopathological grading. Inf. Fusion 108: 102333 (2024) - [j210]Lei Xing, Badong Chen, Changyuan Yu, Jing Qin:
Robust tensor ring-based graph completion for incomplete multi-view clustering. Inf. Fusion 111: 102501 (2024) - [j209]Youyi Song, Jing Zou, Kup-Sze Choi, Baiying Lei, Jing Qin:
Cell classification with worse-case boosting for intelligent cervical cancer screening. Medical Image Anal. 91: 103014 (2024) - [j208]Jun Lyu, Shuo Wang, Yapeng Tian, Jing Zou, Shunjie Dong, Chengyan Wang, Angelica I. Avilés-Rivero, Jing Qin:
STADNet: Spatial-Temporal Attention-Guided Dual-Path Network for cardiac cine MRI super-resolution. Medical Image Anal. 94: 103142 (2024) - [j207]Baiying Lei, Yafeng Li, Wanyi Fu, Peng Yang, Shaobin Chen, Tianfu Wang, Xiaohua Xiao, Tianye Niu, Yu Fu, Shuqiang Wang, Hongbin Han, Jing Qin:
Alzheimer's disease diagnosis from multi-modal data via feature inductive learning and dual multilevel graph neural network. Medical Image Anal. 97: 103213 (2024) - [j206]Jiajun Liang, Huijuan Pan, Zhuo Xiang, Jing Qin, Yali Qiu, Libao Guo, Tianfu Wang, Wei Jiang, Baiying Lei:
Echocardiographic segmentation based on semi-supervised deep learning with attention mechanism. Multim. Tools Appl. 83(12): 36953-36973 (2024) - [j205]Zeyong Wei, Honghua Chen, Liangliang Nan, Jun Wang, Jing Qin, Mingqiang Wei:
PathNet: Path-Selective Point Cloud Denoising. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4426-4442 (2024) - [j204]Yazhou Zhang, Yang Yu, Dongming Zhao, Zuhe Li, Bo Wang, Yuexian Hou, Prayag Tiwari, Jing Qin:
Learning Multitask Commonness and Uniqueness for Multimodal Sarcasm Detection and Sentiment Analysis in Conversation. IEEE Trans. Artif. Intell. 5(3): 1349-1361 (2024) - [j203]Huisi Wu, Baiming Zhang, Junquan Pan, Jing Qin:
Multi-Level Object-Aware Guidance Network for Biomedical Image Segmentation. IEEE Trans Autom. Sci. Eng. 21(3): 2440-2453 (2024) - [j202]Huisi Wu, Baiming Zhang, Zhuoying Li, Jing Qin, Tong-Yee Lee:
3DSN-Net: A 3-D Scale-Aware convNet With Nonlocal Context Guidance for Kidney and Tumor Segmentation From CT Volumes. IEEE Trans. Cybern. 54(5): 3299-3312 (2024) - [j201]Xiaoke Hao, Jingyi Wang, Zilong He, Yingchun Guo, Ming Yu, Feng Liu, Jing Qin, Daoqiang Zhang:
Multi-Cluster Self-Paced Diverse Learning and Feature Fusion for Autism Spectrum Disorder Identification With Resting-State fMRI. IEEE Trans. Emerg. Top. Comput. Intell. 8(6): 3860-3873 (2024) - [j200]Haoxin Yang, Xuemiao Xu, Cheng Xu, Huaidong Zhang, Jing Qin, Yi Wang, Pheng-Ann Heng, Shengfeng He:
G²Face: High-Fidelity Reversible Face Anonymization via Generative and Geometric Priors. IEEE Trans. Inf. Forensics Secur. 19: 8773-8785 (2024) - [j199]Weimin Lyu, Weihao Yuan, Jianxun Yu, Qing Wang, Shuyang Chen, Jing Qin, Changyuan Yu:
Non-Contact Short-Term Heart Rate Variability Analysis Under Paced Respiration Based on a Robust Fiber Optic Sensor System. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [j198]Huisi Wu, Jiahao Li, Jing Qin:
Pseudosupervision With Contrast-Separation Awareness in Endoscopy Image Segmentation. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [j197]Jian Zhu, Ganxi Xu, Qintai Hu, Boyu Wang, Teng Zhou, Jing Qin:
Dual Contrastive Training and Transferability-Aware Adaptation for Multisource Privacy-Preserving Motor Imagery Classification. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [j196]Yongzhen Wang, Xuefeng Yan, Fu Lee Wang, Haoran Xie, Wenhan Yang, Xiao-Ping Zhang, Jing Qin, Mingqiang Wei:
UCL-Dehaze: Toward Real-World Image Dehazing via Unsupervised Contrastive Learning. IEEE Trans. Image Process. 33: 1361-1374 (2024) - [j195]Huaqi Zhang, Jie Liu, Weifan Liu, Huang Chen, Zekuan Yu, Yixuan Yuan, Pengyu Wang, Jing Qin:
MHD-Net: Memory-Aware Hetero-Modal Distillation Network for Thymic Epithelial Tumor Typing With Missing Pathology Modality. IEEE J. Biomed. Health Informatics 28(5): 3003-3014 (2024) - [j194]Pan Huang, Hualiang Xiao, Peng He, Chentao Li, Xiaodong Guo, Sukun Tian, Peng Feng, Hu Chen, Yuchun Sun, Francesco Mercaldo, Antonella Santone, Jing Qin:
LA-ViT: A Network With Transformers Constrained by Learned-Parameter-Free Attention for Interpretable Grading in a New Laryngeal Histopathology Image Dataset. IEEE J. Biomed. Health Informatics 28(6): 3557-3570 (2024) - [j193]Luyang Luo, Daguang Xu, Jing Qin, Yueming Jin, Hao Chen:
Guest Editorial: Trustworthy Machine Learning for Health Informatics. IEEE J. Biomed. Health Informatics 28(11): 6370-6372 (2024) - [j192]Qing Wang, Xinghong Chen, Weiping Liu, Guannan Chen, Harry Qin:
SFWN: A Novel Semi-Supervised Feature Weighted Neural Network for Gene Data Feature Learning and Mining With Graph Modeling. IEEE J. Biomed. Health Informatics 28(11): 6405-6416 (2024) - [j191]Huisi Wu, Baiming Zhang, Cheng Chen, Jing Qin:
Federated Semi-Supervised Medical Image Segmentation via Prototype-Based Pseudo-Labeling and Contrastive Learning. IEEE Trans. Medical Imaging 43(2): 649-661 (2024) - [j190]Pengyu Wang, Huaqi Zhang, Meilu Zhu, Xi Jiang, Jing Qin, Yixuan Yuan:
MGIML: Cancer Grading With Incomplete Radiology-Pathology Data via Memory Learning and Gradient Homogenization. IEEE Trans. Medical Imaging 43(6): 2113-2124 (2024) - [j189]Kang Wang, Feiyang Zheng, Lan Cheng, Hong-Ning Dai, Qi Dou, Jing Qin:
Breast Cancer Classification From Digital Pathology Images via Connectivity-Aware Graph Transformer. IEEE Trans. Medical Imaging 43(8): 2854-2865 (2024) - [j188]Zifeng Qiu, Peng Yang, Chunlun Xiao, Shuqiang Wang, Xiaohua Xiao, Jing Qin, Chuan-Ming Liu, Tianfu Wang, Baiying Lei:
3D Multimodal Fusion Network With Disease-Induced Joint Learning for Early Alzheimer's Disease Diagnosis. IEEE Trans. Medical Imaging 43(9): 3161-3175 (2024) - [j187]Hongqiu Wang, Guang Yang, Shichen Zhang, Jing Qin, Yike Guo, Bo Xu, Yueming Jin, Lei Zhu:
Video-Instrument Synergistic Network for Referring Video Instrument Segmentation in Robotic Surgery. IEEE Trans. Medical Imaging 43(12): 4457-4469 (2024) - [j186]Lei Xing, Yawen Song, Badong Chen, Changyuan Yu, Jing Qin:
Incomplete Multi-View Clustering via Correntropy and Complement Consensus Learning. IEEE Trans. Multim. 26: 8063-8076 (2024) - [j185]Shuang Liang, Wenlong Hang, Baiying Lei, Jun Wang, Jing Qin, Kup-Sze Choi, Yu Zhang:
Adaptive Multimodel Knowledge Transfer Matrix Machine for EEG Classification. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7726-7739 (2024) - [j184]Youyi Song, Jeremy Yuen-Chun Teoh, Kup-Sze Choi, Jing Qin:
Dynamic Loss Weighting for Multiorgan Segmentation in Medical Images. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10651-10662 (2024) - [j183]Jun Lyu, Guangyuan Li, Chengyan Wang, Qing Cai, Qi Dou, David Zhang, Jing Qin:
Multicontrast MRI Super-Resolution via Transformer-Empowered Multiscale Contextual Matching and Aggregation. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12004-12014 (2024) - [j182]Yazhou Zhang, Ao Jia, Bo Wang, Peng Zhang, Dongming Zhao, Pu Li, Yuexian Hou, Xiaojia Jin, Dawei Song, Jing Qin:
M3GAT: A Multi-modal, Multi-task Interactive Graph Attention Network for Conversational Sentiment Analysis and Emotion Recognition. ACM Trans. Inf. Syst. 42(1): 13:1-13:32 (2024) - [j181]Baian Chen, Zhilei Chen, Xiaowei Hu, Jun Xu, Haoran Xie, Jing Qin, Mingqiang Wei:
Dynamic Message Propagation Network for RGB-D and Video Salient Object Detection. ACM Trans. Multim. Comput. Commun. Appl. 20(1): 18:1-18:21 (2024) - [j180]Zhe Zhu, Liangliang Nan, Haoran Xie, Honghua Chen, Jun Wang, Mingqiang Wei, Jing Qin:
CSDN: Cross-Modal Shape-Transfer Dual-Refinement Network for Point Cloud Completion. IEEE Trans. Vis. Comput. Graph. 30(7): 3545-3563 (2024) - [j179]Lipeng Gu, Xuefeng Yan, Peng Cui, Lina Gong, Haoran Xie, Fu Lee Wang, Jing Qin, Mingqiang Wei:
PointSee: Image Enhances Point Cloud. IEEE Trans. Vis. Comput. Graph. 30(9): 6291-6308 (2024) - [j178]Jing Zou, Jing Qin:
Real-time volume rendering for three-dimensional fetal ultrasound using volumetric photon mapping. Vis. Comput. Ind. Biomed. Art 7(1): 25 (2024) - [c143]Zhixue Fang, Xinrong Guo, Jingyin Lin, Huisi Wu, Jing Qin:
An Embedding-Unleashing Video Polyp Segmentation Framework via Region Linking and Scale Alignment. AAAI 2024: 1744-1752 - [c142]Yuzhi Liu, Huisi Wu, Jing Qin:
FedCD: Federated Semi-Supervised Learning with Class Awareness Balance via Dual Teachers. AAAI 2024: 3837-3845 - [c141]Sen Deng, Yidan Feng, Haoneng Lin, Yiting Fan, Alex Pui-Wai Lee, Xiaowei Hu, Jing Qin:
Semi-supervised TEE Segmentation via Interacting with SAM Equipped with Noise-Resilient Prompting. AAAI 2024: 11757-11765 - [c140]Tian Ye, Sixiang Chen, Wenhao Chai, Zhaohu Xing, Jing Qin, Ge Lin, Lei Zhu:
Learning Diffusion Texture Priors for Image Restoration. CVPR 2024: 2524-2534 - [c139]Yijun Yang, Hongtao Wu, Angelica I. Avilés-Rivero, Yulun Zhang, Jing Qin, Lei Zhu:
Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal. CVPR 2024: 25606-25616 - [c138]Zikai Huang, Xuemiao Xu, Cheng Xu, Huaidong Zhang, Chenxi Zheng, Jing Qin, Shengfeng He:
Beat-It: Beat-Synchronized Multi-condition 3D Dance Generation. ECCV (19) 2024: 273-290 - [c137]Zhixue Fang, Yuzhi Liu, Huisi Wu, Jing Qin:
VP-SAM: Taming Segment Anything Model for Video Polyp Segmentation via Disentanglement and Spatio-Temporal Side Network. ECCV (23) 2024: 367-383 - [c136]Guoqi Yu, Jing Zou, Xiaowei Hu, Angelica I. Avilés-Rivero, Jing Qin, Shujun Wang:
Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling. ICML 2024 - [c135]Weiwen Zhang, Cheng Xu, Xuemiao Xu, Huaidong Zhang, Rongchen Zhao, Jing Qin:
Exploiting Multi-View Clues for Context-Aware Unified Lumbar MRI Identification and Diagnosis. IJCNN 2024: 1-9 - [c134]Xiaoke Hao, Mingming Ma, Yingchun Guo, Jiawang Li, Jing Qin, Daoqiang Zhang:
A Framework on Imaging and Phenotype Information Hierarchical Graph Convolutional Networks for Identification of Autism Spectrum Disorder. ISBI 2024: 1-4 - [c133]Jialun Pei, Ruize Cui, Yaoqian Li, Weixin Si, Jing Qin, Pheng-Ann Heng:
Depth-Driven Geometric Prompt Learning for Laparoscopic Liver Landmark Detection. MICCAI (6) 2024: 154-164 - [c132]Zhaohu Xing, Sicheng Yang, Sixiang Chen, Tian Ye, Yijun Yang, Jing Qin, Lei Zhu:
Cross-conditioned Diffusion Model for Medical Image to Image Translation. MICCAI (7) 2024: 201-211 - [c131]Yidan Feng, Bingchen Gao, Sen Deng, Anqi Qiu, Jing Qin:
Unified Multi-modal Learning for Any Modality Combinations in Alzheimer's Disease Diagnosis. MICCAI (3) 2024: 487-497 - [c130]Long Lei, Jun Zhou, Jialun Pei, Baoliang Zhao, Yueming Jin, Jeremy Yuen-Chun Teoh, Jing Qin, Pheng-Ann Heng:
Epicardium Prompt-Guided Real-Time Cardiac Ultrasound Frame-to-Volume Registration. MICCAI (2) 2024: 618-628 - [c129]Huihui Xu, Yijun Yang, Angelica I. Avilés-Rivero, Guang Yang, Jing Qin, Lei Zhu:
LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos. MICCAI (4) 2024: 667-677 - [i71]Yazhou Zhang, Mengyao Wang, Chenyu Ren, Qiuchi Li, Prayag Tiwari, Benyou Wang, Jing Qin:
Pushing The Limit of LLM Capacity for Text Classification. CoRR abs/2402.07470 (2024) - [i70]Guoqi Yu, Jing Zou, Xiaowei Hu, Angelica I. Avilés-Rivero, Jing Qin, Shujun Wang:
Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling. CoRR abs/2402.12694 (2024) - [i69]Yijun Yang, Hongtao Wu, Angelica I. Avilés-Rivero, Yulun Zhang, Jing Qin, Lei Zhu:
Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal. CoRR abs/2403.07684 (2024) - [i68]Long Lei, Jun Zhou, Jialun Pei, Baoliang Zhao, Yueming Jin, Jeremy Yuen-Chun Teoh, Jing Qin, Pheng-Ann Heng:
Epicardium Prompt-guided Real-time Cardiac Ultrasound Frame-to-volume Registration. CoRR abs/2406.14534 (2024) - [i67]Chenyu Ren, Yazhou Zhang, Daihai He, Jing Qin:
WundtGPT: Shaping Large Language Models To Be An Empathetic, Proactive Psychologist. CoRR abs/2406.15474 (2024) - [i66]Jialun Pei, Ruize Cui, Yaoqian Li, Weixin Si, Jing Qin, Pheng-Ann Heng:
Depth-Driven Geometric Prompt Learning for Laparoscopic Liver Landmark Detection. CoRR abs/2406.17858 (2024) - [i65]Jing Zou, Lanqing Liu, Qi Chen, Shujun Wang, Xiaohan Xing, Jing Qin:
MMR-Mamba: Multi-Contrast MRI Reconstruction with Mamba and Spatial-Frequency Information Fusion. CoRR abs/2406.18950 (2024) - [i64]Zi Wang, Fanwen Wang, Chen Qin, Jun Lyu, Ouyang Cheng, Shuo Wang, Yan Li, Mengyao Yu, Haoyu Zhang, Kunyuan Guo, Zhang Shi, Qirong Li, Ziqiang Xu, Yajing Zhang, Hao Li, Sha Hua, Binghua Chen, Longyu Sun, Mengting Sun, Qin Li, Ying-Hua Chu, Wenjia Bai, Jing Qin, Xiahai Zhuang, Claudia Prieto, Alistair A. Young, Michael Markl, He Wang, Lianming Wu, Guang Yang, Xiaobo Qu, Chengyan Wang:
CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI. CoRR abs/2406.19043 (2024) - [i63]Huihui Xu, Yijun Yang, Angelica I. Avilés-Rivero, Guang Yang, Jing Qin, Lei Zhu:
LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos. CoRR abs/2407.05703 (2024) - [i62]Zikai Huang, Xuemiao Xu, Cheng Xu, Huaidong Zhang, Chenxi Zheng, Jing Qin, Shengfeng He:
Beat-It: Beat-Synchronized Multi-Condition 3D Dance Generation. CoRR abs/2407.07554 (2024) - [i61]Haoxin Yang, Xuemiao Xu, Cheng Xu, Huaidong Zhang, Jing Qin, Yi Wang, Pheng-Ann Heng, Shengfeng He:
G2Face: High-Fidelity Reversible Face Anonymization via Generative and Geometric Priors. CoRR abs/2408.09458 (2024) - [i60]Yazhou Zhang, Chunwang Zou, Zheng Lian, Prayag Tiwari, Jing Qin:
SarcasmBench: Towards Evaluating Large Language Models on Sarcasm Understanding. CoRR abs/2408.11319 (2024) - [i59]Zhaohu Xing, Sicheng Yang, Sixiang Chen, Tian Ye, Yijun Yang, Jing Qin, Lei Zhu:
Cross-conditioned Diffusion Model for Medical Image to Image Translation. CoRR abs/2409.08500 (2024) - [i58]Peiyi Zhang, Yazhou Zhang, Bo Wang, Lu Rong, Jing Qin:
Edu-Values: Towards Evaluating the Chinese Education Values of Large Language Models. CoRR abs/2409.12739 (2024) - 2023
- [j177]Wenlong Hang, Zengguang Li, Mingbo Yin, Shuang Liang, Hang Shen, Qiong Wang, Jing Qin, Kup-Sze Choi:
Deep stacked least square support matrix machine with adaptive multi-layer transfer for EEG classification. Biomed. Signal Process. Control. 82: 104579 (2023) - [j176]Shuang Liang, Zengguang Li, Wenlong Hang, Yuanpeng Zhang, Baiying Lei, Jing Qin, Yu Zhang, Kup-Sze Choi:
Structure invariance-driven collaborative contrastive network for EEG decoding. Biomed. Signal Process. Control. 86(Part B): 105214 (2023) - [j175]Pan Huang, Xiaoli Zhou, Peng He, Peng Feng, Sukun Tian, Yuchun Sun, Francesco Mercaldo, Antonella Santone, Jing Qin, Hualiang Xiao:
Interpretable laryngeal tumor grading of histopathological images via depth domain adaptive network with integration gradient CAM and priori experience-guided attention. Comput. Biol. Medicine 154: 106447 (2023) - [j174]Jun Lyu, Yapeng Tian, Qing Cai, Chengyan Wang, Jing Qin:
Adaptive channel-modulated personalized federated learning for magnetic resonance image reconstruction. Comput. Biol. Medicine 165: 107330 (2023) - [j173]Yan Zhou, Zhaolong Dang, Huaidong Zhang, Xuemiao Xu, Jing Qin, Wenjun Li, Fanzhi Zeng, Xiangyu Liu:
EFSCNN: Encoded Feature Sphere Convolution Neural Network for fast non-rigid 3D models classification and retrieval. Comput. Vis. Image Underst. 233: 103724 (2023) - [j172]Jun Lyu, Bin Sui, Chengyan Wang, Qi Dou, Jing Qin:
Adaptive feature aggregation based multi-task learning for uncertainty-guided semi-supervised medical image segmentation. Expert Syst. Appl. 232: 120836 (2023) - [j171]Lan Cheng, WK Chan, Yi Peng, Harry Qin:
Towards data-driven tele-medicine intelligence: community-based mental healthcare paradigm shift for smart aging amid COVID-19 pandemic. Health Inf. Sci. Syst. 11(1): 14 (2023) - [j170]Boyu Huang, Youyi Song, Zhihan Cui, Haowen Dou, Dazhi Jiang, Teng Zhou, Jing Qin:
Gravitational search algorithm-extreme learning machine for COVID-19 active cases forecasting. IET Softw. 17(4): 554-565 (2023) - [j169]Yang Zhou, Hanjie Wu, Wenxi Liu, Zheng Xiong, Jing Qin, Shengfeng He:
Single-View View Synthesis with Self-rectified Pseudo-Stereo. Int. J. Comput. Vis. 131(8): 2032-2043 (2023) - [j168]Yiyang Shen, Rongwei Yu, Ni Shu, Jing Qin, Mingqiang Wei:
HLA-HOD: Joint High-Low Adaptation for Object Detection in Hazy Weather Conditions. Int. J. Intell. Syst. 2023: 1-15 (2023) - [j167]Weiwei Fang, Wenhao Zhuo, Youyi Song, Jingwen Yan, Teng Zhou, Jing Qin:
Δfree-LSTM: An error distribution free deep learning for short-term traffic flow forecasting. Neurocomputing 526: 180-190 (2023) - [j166]Yazhou Zhang, Jinglin Wang, Yaochen Liu, Lu Rong, Qian Zheng, Dawei Song, Prayag Tiwari, Jing Qin:
A Multitask learning model for multimodal sarcasm, sentiment and emotion recognition in conversations. Inf. Fusion 93: 282-301 (2023) - [j165]Dongbin Yin, Baizhong Zhang, Jingwen Yan, Yu Luo, Teng Zhou, Jing Qin:
CoWNet: A correlation weighted network for geological hazard detection. Knowl. Based Syst. 275: 110684 (2023) - [j164]Qi Liu, Geyi Zhou, Jianquan Zhong, Ling Tang, Yao Lu, Jing Qin, Ling He, Jing Zhang:
Path planning for percutaneous lung biopsy based on the loose-Pareto and adaptive heptagonal optimization method. Medical Biol. Eng. Comput. 61(6): 1449-1472 (2023) - [j163]Jun Lyu, Guangyuan Li, Chengyan Wang, Chen Qin, Shuo Wang, Qi Dou, Jing Qin:
Region-focused multi-view transformer-based generative adversarial network for cardiac cine MRI reconstruction. Medical Image Anal. 85: 102760 (2023) - [j162]Haoran Zhou, Honghua Chen, Yingkui Zhang, Mingqiang Wei, Haoran Xie, Jun Wang, Tong Lu, Jing Qin, Xiao-Ping Zhang:
Refine-Net: Normal Refinement Neural Network for Noisy Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 946-963 (2023) - [j161]Yongtuo Liu, Sucheng Ren, Liangyu Chai, Hanjie Wu, Dan Xu, Jing Qin, Shengfeng He:
Reducing Spatial Labeling Redundancy for Active Semi-Supervised Crowd Counting. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 9248-9255 (2023) - [j160]Mingqiang Wei, Zeyong Wei, Haoran Zhou, Fei Hu, Huajian Si, Zhilei Chen, Zhe Zhu, Jingbo Qiu, Xuefeng Yan, Yanwen Guo, Jun Wang, Jing Qin:
AGConv: Adaptive Graph Convolution on 3D Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9374-9392 (2023) - [j159]Yuan Liang, Bailin Deng, Wenxi Liu, Jing Qin, Shengfeng He:
Monocular Depth Estimation for Glass Walls With Context: A New Dataset and Method. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15081-15097 (2023) - [j158]Xiaoke Hao, Qihao Tan, Yingchun Guo, Yunjia Xiao, Ming Yu, Meiling Wang, Jing Qin, Daoqiang Zhang, Alzheimer's Disease Neuroimaging Initiative:
Identifying Modality-Consistent and Modality-Specific Features via Label-Guided Multi-Task Sparse Canonical Correlation Analysis for Neuroimaging Genetics. IEEE Trans. Biomed. Eng. 70(3): 831-840 (2023) - [j157]Peng Wan, Haiyan Xue, Chunrui Liu, Fang Chen, Wei Shao, Jing Qin, Wentao Kong, Daoqiang Zhang:
Transport-Based Anatomical-Functional Metric Learning for Liver Tumor Recognition Using Dual-View Dynamic CEUS Imaging. IEEE Trans. Biomed. Eng. 70(3): 1012-1023 (2023) - [j156]Weiwei Cai, Huaidong Zhang, Xuemiao Xu, Shengfeng He, Kun Zhang, Jing Qin:
Contextual-Assisted Scratched Photo Restoration. IEEE Trans. Circuits Syst. Video Technol. 33(10): 5458-5469 (2023) - [j155]Huisi Wu, Zebin Zhao, Jiafu Zhong, Wei Wang, Zhenkun Wen, Jing Qin:
PolypSeg+: A Lightweight Context-Aware Network for Real-Time Polyp Segmentation. IEEE Trans. Cybern. 53(4): 2610-2621 (2023) - [j154]Yiyang Shen, Rongwei Yu, Peng Wu, Haoran Xie, Lina Gong, Jing Qin, Mingqiang Wei:
ImLiDAR: Cross-Sensor Dynamic Message Propagation Network for 3-D Object Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j153]Pan Huang, Peng He, Sukun Tian, Mingrui Ma, Peng Feng, Hualiang Xiao, Francesco Mercaldo, Antonella Santone, Jing Qin:
A ViT-AMC Network With Adaptive Model Fusion and Multiobjective Optimization for Interpretable Laryngeal Tumor Grading From Histopathological Images. IEEE Trans. Medical Imaging 42(1): 15-28 (2023) - [j152]Youyi Song, Lequan Yu, Baiying Lei, Kup-Sze Choi, Jing Qin:
Data Discernment for Affordable Training in Medical Image Segmentation. IEEE Trans. Medical Imaging 42(5): 1431-1445 (2023) - [j151]Huisi Wu, Xiaoting Huang, Xinrong Guo, Zhenkun Wen, Jing Qin:
Cross-Image Dependency Modeling for Breast Ultrasound Segmentation. IEEE Trans. Medical Imaging 42(6): 1619-1631 (2023) - [j150]Huisi Wu, Canfeng Lin, Jiasheng Liu, Youyi Song, Zhenkun Wen, Jing Qin:
Feature Masking on Non-Overlapping Regions for Detecting Dense Cells in Blood Smear Image. IEEE Trans. Medical Imaging 42(6): 1668-1680 (2023) - [j149]Jiacheng Wang, Fei Chen, Yuxi Ma, Liansheng Wang, Zhaodong Fei, Jianwei Shuai, Xiangdong Tang, Qichao Zhou, Jing Qin:
XBound-Former: Toward Cross-Scale Boundary Modeling in Transformers. IEEE Trans. Medical Imaging 42(6): 1735-1745 (2023) - [j148]