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ORCIDQingqi Hong
Person information
- affiliation: Xiamen University, Software School, China
- affiliation (PhD 2012): University of Hull, Department of Computer Science, UK
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Books and Theses
- 2012
[b1]Qingqi Hong:
Accurate geometry reconstruction of vascular structures using implicit splines. University of Hull, Kingston upon Hull, UK, 2012
Journal Articles
- 2024
- [j27]Qingqi Hong
, Chuanfeng Yang, Jiahui Chen, Zihan Li, Qingqiang Wu, Qingde Li, Jie Tian:
NeuFG: Neural Fuzzy Geometric Representation for 3-D Reconstruction. IEEE Trans. Fuzzy Syst. 32(11): 6340-6349 (2024) - [j26]Zihan Li, Yunxiang Li, Qingde Li, Puyang Wang, Dazhou Guo, Le Lu, Dakai Jin, You Zhang, Qingqi Hong:
LViT: Language Meets Vision Transformer in Medical Image Segmentation. IEEE Trans. Medical Imaging 43(1): 96-107 (2024) - [j25]Zihan Li, Yuan Zheng, Dandan Shan, Shuzhou Yang, Qingde Li, Beizhan Wang, Yuanting Zhang, Qingqi Hong, Dinggang Shen:
ScribFormer: Transformer Makes CNN Work Better for Scribble-Based Medical Image Segmentation. IEEE Trans. Medical Imaging 43(6): 2254-2265 (2024) - [j24]Qingqi Hong, Lingli Lin, Zihan Li, Qingde Li, Junfeng Yao, Qingqiang Wu, Kunhong Liu, Jie Tian:
A Distance Transformation Deep Forest Framework With Hybrid-Feature Fusion for CXR Image Classification. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14633-14644 (2024) - 2023
- [j23]Xingxin Li, Shibo Song, Junfeng Yao, Hanyin Zhang, Rongzhou Zhou, Qingqi Hong:
Efficient collision detection using hybrid medial axis transform and BVH for rigid body simulation. Graph. Model. 128: 101180 (2023) - [j22]Wenjing Zhang, Songzhi Su, Qingqi Hong, Beizhan Wang, Li Sun:
Long short-distance topology modelling of 3D point cloud segmentation with a graph convolution neural network. IET Comput. Vis. 17(3): 251-264 (2023) - 2022
- [j21]KunHong Liu, Zhan WangPing, Yi-Fan Liang, Ya-Nan Zhang, Hong-Zhou Guo, Junfeng Yao, Qingqiang Wu, Qingqi Hong:
The design of error-correcting output codes algorithm for the open-set recognition. Appl. Intell. 52(7): 7843-7869 (2022) - [j20]KunHong Liu, Xiao-Na Ye, Hong-Zhou Guo, Qingqiang Wu, Qingqi Hong:
The design of soft recoding-based strategies for improving error-correcting output codes. Appl. Intell. 52(8): 8856-8873 (2022) - [j19]Xiang Yu, Jian Wang, Qingqi Hong, Raja Teku, Shui-Hua Wang, Yu-Dong Zhang:
Transfer learning for medical images analyses: A survey. Neurocomputing 489: 230-254 (2022) - 2021
- [j18]Qingqi Hong, Lingli Lin, Qingde Li, Ziyou Jiang, Jun Fang, Beizhan Wang, KunHong Liu, Qingqiang Wu, Chenxi Huang:
A direct slicing technique for the 3D printing of implicitly represented medical models. Comput. Biol. Medicine 135: 104534 (2021) - [j17]Qingqi Hong, Yiwei Ding, Jinpeng Lin, Meihong Wang, Qingyang Wei, Xianwei Wang, Ming Zeng:
Image-Based Automatic Watermeter Reading under Challenging Environments. Sensors 21(2): 434 (2021) - [j16]Jie Gao, KunHong Liu, Beizhan Wang, Dong Wang, Qingqi Hong:
An improved deep forest for alleviating the data imbalance problem. Soft Comput. 25(3): 2085-2101 (2021) - [j15]Chenxi Huang, Yisha Lan, Gaowei Xu, Xiaojun Zhai, Jipeng Wu, Fan Lin, Nianyin Zeng, Qingqi Hong, E. Y. K. Ng, Yonghong Peng, Fei Chen, Guokai Zhang:
A Deep Segmentation Network of Multi-Scale Feature Fusion Based on Attention Mechanism for IVOCT Lumen Contour. IEEE ACM Trans. Comput. Biol. Bioinform. 18(1): 62-69 (2021) - 2020
- [j14]Shengyu Lu, Qingqi Hong, Beizhan Wang, Hongji Wang:
Efficient ResNet Model to Predict Protein-Protein Interactions With GPU Computing. IEEE Access 8: 127834-127844 (2020) - [j13]Jie Gao, Weiping Lin, KunHong Liu, Qingqi Hong, Guangyi Lin, Beizhan Wang:
Imprecise Deep Forest for Partial Label Learning. IEEE Access 8: 218530-218541 (2020) - [j12]Qingqi Hong, Qingde Li, Beizhan Wang, Jie Tian, Fei Xu, KunHong Liu, Xuan Cheng:
High-quality vascular modeling and modification with implicit extrusion surfaces for blood flow computations. Comput. Methods Programs Biomed. 196: 105598 (2020) - [j11]Quan Qi, Qingde Li, Yongqiang Cheng, Qingqi Hong:
Skeleton Marching-based Parallel Vascular Geometry Reconstruction Using Implicit Functions. Int. J. Autom. Comput. 17(1): 30-43 (2020) - [j10]Wenjing Zhang, Songzhi Su, Beizhan Wang, Qingqi Hong, Li Sun:
Local k-NNs pattern in Omni-Direction graph convolution neural network for 3D point clouds. Neurocomputing 413: 487-498 (2020) - 2019
- [j9]Qingqi Hong, Qingde Li, Beizhan Wang, KunHong Liu, Quan Qi:
High Precision Implicit Modeling for Patient-Specific Coronary Arteries. IEEE Access 7: 72020-72029 (2019) - [j8]Kun-Hong Liu, Vincent To-Yee Ng, Sze-Teng Liong, Qingqi Hong:
Microarray Data Classification Based on Computational Verb. IEEE Access 7: 103310-103324 (2019) - [j7]MengXin Sun, KunHong Liu, Qingqiang Wu, Qingqi Hong, Beizhan Wang, Haiying Zhang:
A novel ECOC algorithm for multiclass microarray data classification based on data complexity analysis. Pattern Recognit. 90: 346-362 (2019) - [j6]Qingqiang Wu, Yichen Kuang, Qingqi Hong, Yingying She:
Frontier knowledge discovery and visualization in cancer field based on KOS and LDA. Scientometrics 118(3): 979-1010 (2019) - 2018
- [j5]Qingqi Hong, Qingde Li, Beizhan Wang, KunHong Liu, Fan Lin, Juncong Lin, Xuan Cheng, Zhihong Zhang, Ming Zeng:
Accurate geometry modeling of vasculatures using implicit fitting with 2D radial basis functions. Comput. Aided Geom. Des. 62: 206-216 (2018) - [j4]Qingde Li, Qingqi Hong, Quan Qi, Xinhui Ma, Xie Han, Jie Tian:
Towards additive manufacturing oriented geometric modeling using implicit functions. Vis. Comput. Ind. Biomed. Art 1: 1-16 (2018) - 2016
- [j3]Qingqi Hong, Yan Li, Qingde Li, Beizhan Wang, Junfeng Yao, Qingqiang Wu, Yingying She:
An implicit skeleton-based method for the geometry reconstruction of vasculatures. Vis. Comput. 32(10): 1251-1262 (2016) - 2014
- [j2]Qingqiang Wu, CaiDong Zhang, Qingqi Hong, Liyan Chen:
Topic evolution based on LDA and HMM and its application in stem cell research. J. Inf. Sci. 40(5): 611-620 (2014) - 2012
- [j1]Qingqi Hong, Qingde Li, Jie Tian:
Implicit Reconstruction of Vasculatures Using Bivariate Piecewise Algebraic Splines. IEEE Trans. Medical Imaging 31(3): 543-553 (2012)
Conference and Workshop Papers
- 2024
- [c26]Jiahui Chen, Chuanfeng Yang, Kaiheng Li, Qingqiang Wu, Qingqi Hong:
ControlNeRF: Text-Driven 3D Scene Stylization via Diffusion Model. ICANN (2) 2024: 395-406 - [c25]Xianpeng Cao, Weixing Xie, Xianxing Cao, Qiqin Lin, Rongzhou Zhou, Junfeng Yao, Qingqi Hong:
ICR-Net: Semi-Supervised Medical Image Segmentation Guided By Intra-Sample Cross Reconstruction. ICME 2024: 1-6 - [c24]Qiqin Lin, Weixing Xie, Rongzhou Zhou, Xianpeng Cao, Jingze Chen, Junfeng Yao, Qingqi Hong:
DPP-Net: Difficulty Perception-Processing Heterogeneous Network for Semi-supervised Medical Image Segmentation. ICME 2024: 1-6 - [c23]Chuanfeng Yang, Kaiheng Li, Jiahui Chen, Qingqi Hong:
FFnsr: Fast and Fine Neural Surface Reconstruction. ICME 2024: 1-6 - 2023
- [c22]Yifan Li, Yanxiang Zong, Wen Sun, Qingqiang Wu, Qingqi Hong:
A Long-Tail Relation Extraction Model Based on Dependency Path and Relation Graph Embedding. APWeb-WAIM (2) 2023: 408-423 - [c21]Xianpeng Cao, Junfeng Yao, Qingqi Hong, Rongzhou Zhou:
MEA-TransUNet: A Multiple External Attention Network for Multi-Organ Segmentation. ICANN (9) 2023: 1-12 - [c20]Dandan Shan, Zihan Li, Wentao Chen, Qingde Li, Jie Tian, Qingqi Hong:
Coarse-to-Fine Covid-19 Segmentation via Vision-Language Alignment. ICASSP 2023: 1-5 - [c19]Yuehui Qiu, Zihan Li, Yining Wang, Pei Dong, Dijia Wu, Xinnian Yang, Qingqi Hong, Dinggang Shen:
CorSegRec: A Topology-Preserving Scheme for Extracting Fully-Connected Coronary Arteries from CT Angiography. MICCAI (3) 2023: 670-680 - [c18]Zihan Li, Yuan Zheng, Xiangde Luo, Dandan Shan, Qingqi Hong:
ScribbleVC: Scribble-supervised Medical Image Segmentation with Vision-Class Embedding. ACM Multimedia 2023: 3384-3393 - [c17]Rongzhou Zhou, Junfeng Yao, Qingqi Hong, Xingxin Li, Xianpeng Cao:
Cross Attention Multi Scale CNN-Transformer Hybrid Encoder Is General Medical Image Learner. PRCV (13) 2023: 85-97 - [c16]Qiqin Lin, Junfeng Yao, Qingqi Hong, Xianpeng Cao, Rongzhou Zhou, Weixing Xie:
LATrans-Unet: Improving CNN-Transformer with Location Adaptive for Medical Image Segmentation. PRCV (13) 2023: 223-234 - 2022
- [c15]Yuan Zheng, Beizhan Wang, Qingqi Hong:
UGAN: Semi-supervised Medical Image Segmentation Using Generative Adversarial Network. CISP-BMEI 2022: 1-6 - [c14]Zihan Li, Dihan Li, Cangbai Xu, Weice Wang, Qingqi Hong, Qingde Li, Jie Tian:
TFCNs: A CNN-Transformer Hybrid Network for Medical Image Segmentation. ICANN (4) 2022: 781-792 - 2021
- [c13]Fei Xu, Lingli Lin, Dihan Li, Qingqi Hong, KunHong Liu, Qingqiang Wu, Qingde Li, Yinhuan Zheng, Jie Tian:
A Multi-Resolution Deep Forest Framework with Hybrid Feature Fusion for CT Whole Heart Segmentation. BIBM 2021: 1119-1124 - 2019
- [c12]Beizhan Wang, Qichao Ge, Qingqi Hong, Yangjing Li, KunHong Liu, Ziyou Jiang:
Vascular Model Editing for 3D Printing Based on Implicit Functions. IGTA 2019: 150-160 - 2018
- [c11]Hao He, Yingying She, Jianbing Xiahou, Junfeng Yao, Jun Li, Qingqi Hong, Yingxuan Ji:
Real-Time Eye-Gaze Based Interaction for Human Intention Prediction and Emotion Analysis. CGI 2018: 185-194 - [c10]Wenyi Jiang, Shihui Guo, Qingqi Hong, Minghong Liao:
Space-time constrained optimization for deep locomotion controller. ICACI 2018: 313-318 - [c9]Quan Qi, Qingde Li, Qingqi Hong:
Skeleton Marching: A High-performance Parallel Vascular Geometry Reconstruction Technique. ICAC 2018: 1-6 - [c8]Mengxin Sun, KunHong Liu, Qingqi Hong, Beizhan Wang:
A New ECOC Algorithm for Multiclass Microarray Data Classification. ICPR 2018: 454-458 - 2017
- [c7]Bingbing Han, Zhihong Zhang, Chuanyu Xu, Beizhan Wang, Guosheng Hu, Lu Bai, Qingqi Hong, Edwin R. Hancock:
Deep Face Model Compression Using Entropy-Based Filter Selection. ICIAP (2) 2017: 127-136 - [c6]Jiajun Wang, KunHong Liu, MengXin Sun, Qingqi Hong:
Genetic Programming Based ECOC for Multiclass Microarray Data Classification. ISCID (1) 2017: 280-283 - [c5]Mengxin Sun, KunHong Liu, Qingqi Hong:
An ECOC Approach for Microarray Data Classification Based on Minimizing Feature Related Complexities. ISCID (1) 2017: 300-303 - [c4]Tianyun Zhong, Jiajun Wang, KunHong Liu, Beizhan Wang, Qingqi Hong:
Multiclass Microarray Data Classification Based on SA-ECOC. ISCID (1) 2017: 434-437 - 2014
- [c3]Quan Qi, Qingde Li, Qingqi Hong:
Implicit vascular reconstruction using the shape-presenting blending operation. ICAC 2014: 200-205 - 2011
- [c2]Qingqi Hong, Qingde Li, Jie Tian:
Virtual Angioscopy Based on Implicit Vasculatures. ICCSA (4) 2011: 592-603 - 2010
- [c1]Qingqi Hong, Qingde Li, Jie Tian:
Local Hybrid Level-set Method for MRA Image Segmentation. CIT 2010: 1397-1402
Informal and Other Publications
- 2024
- [i6]Zihan Li, Yuan Zheng, Dandan Shan, Shuzhou Yang, Qingde Li, Beizhan Wang, Yuanting Zhang, Qingqi Hong, Dinggang Shen:
ScribFormer: Transformer Makes CNN Work Better for Scribble-based Medical Image Segmentation. CoRR abs/2402.02029 (2024) - 2023
- [i5]Dandan Shan, Zihan Li, Wentao Chen, Qingde Li, Jie Tian, Qingqi Hong:
Coarse-to-Fine Covid-19 Segmentation via Vision-Language Alignment. CoRR abs/2303.00279 (2023) - [i4]Zihan Li, Yuan Zheng, Xiangde Luo, Dandan Shan, Qingqi Hong:
ScribbleVC: Scribble-supervised Medical Image Segmentation with Vision-Class Embedding. CoRR abs/2307.16226 (2023) - 2022
- [i3]Zihan Li, Yunxiang Li, Qingde Li, You Zhang, Puyang Wang, Dazhou Guo, Le Lu, Dakai Jin, Qingqi Hong:
LViT: Language meets Vision Transformer in Medical Image Segmentation. CoRR abs/2206.14718 (2022) - [i2]Zihan Li, Dihan Li, Cangbai Xu, Weice Wang, Qingqi Hong, Qingde Li, Jie Tian:
TFCNs: A CNN-Transformer Hybrid Network for Medical Image Segmentation. CoRR abs/2207.03450 (2022) - 2018
- [i1]Mengxin Sun, KunHong Liu, Qingqi Hong, Beizhan Wang:
A New ECOC Algorithm for Multiclass Microarray Data Classification. CoRR abs/1807.03233 (2018)
Coauthor Index
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