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2020 – today
- 2025
[j27]Cong Jin
, Cong Luo, Ming Yan, Guangzhe Zhao, Guixuan Zhang, Shuwu Zhang:
Weakening the Dominant Role of Text: CMOSI Dataset and Multimodal Semantic Enhancement Network. IEEE Trans. Neural Networks Learn. Syst. 36(1): 222-236 (2025)- 2024
- [j26]Guangzhe Zhao, Xingguo Zhu, Xueping Wang, Feihu Yan:
HM-Net: Hybrid multi-scale cross-order fusion network for medical image segmentation. Biomed. Signal Process. Control. 98: 106658 (2024) - [j25]Guangzhe Zhao, He Zhao, Yunzhen Zhang, Xinlei An:
A New Memristive System with Extreme Multistability and Hidden Chaotic Attractors and with Application to Image Encryption. Int. J. Bifurc. Chaos 34(1): 2450010:1-2450010:25 (2024) - [j24]Dexu Meng, Guangzhe Zhao, Feihu Yan:
Social-STGMLP: A Social Spatio-Temporal Graph Multi-Layer Perceptron for Pedestrian Trajectory Prediction. Inf. 15(6): 341 (2024) - [j23]Xueping Wang, Tao Ruan, Jun Xu, Xueni Guo, Jiahe Li, Feihu Yan, Guangzhe Zhao, Caiyong Wang:
Expression-aware neural radiance fields for high-fidelity talking portrait synthesis. Image Vis. Comput. 147: 105075 (2024) - [j22]Guangzhe Zhao, Chen Zhang, Xueping Wang, Benwang Lin, Feihu Yan:
PMANet: Progressive multi-stage attention networks for skin disease classification. Image Vis. Comput. 149: 105166 (2024) - [j21]Caiyong Wang, Haiqing Li, Yixin Zhang, Guangzhe Zhao, Yunlong Wang, Zhenan Sun:
Sclera-TransFuse: Fusing Vision Transformer and CNN for Accurate Sclera Segmentation and Recognition. IEEE Trans. Biom. Behav. Identity Sci. 6(4): 575-590 (2024) - [c9]Guangzhe Zhao, Sihao Chen, Xueping Wang, Feihu Yan, Maozu Guo:
FTMSNet: Towards boundary-aware polyp segmentation framework based on hybrid Fourier Transform and Multi-scale Subtraction. BIBM 2024: 2936-2943 - [c8]Guangzhe Zhao, Sihao Chen, Feihu Yan, Xueping Wang, Maozu Guo:
YMamba: A Dual-Branch Network Fusing State Space Model and CNN for Medical Image Segmentation. BIBM 2024: 4036-4039 - [c7]Guangzhe Zhao, Yanan Liu, Xueping Wang, Feihu Yan:
CMFF-Face: Attention-Based Cross-Modal Feature Fusion for High-Quality Audio-Driven Talking Face Generation. ICMR 2024: 101-110 - 2023
- [j20]Guangzhe Zhao, Yimeng Zhang, Maoning Ge, Min Yu:
Bilateral U-Net semantic segmentation with spatial attention mechanism. CAAI Trans. Intell. Technol. 8(2): 297-307 (2023) - [j19]Caiyong Wang, Haiqing Li, Wenhui Ma, Guangzhe Zhao, Zhaofeng He:
MetaScleraSeg: an effective meta-learning framework for generalized sclera segmentation. Neural Comput. Appl. 35(29): 21797-21826 (2023) - [j18]Shuang Qiu, Guangzhe Zhao, Xiao Li, Xueping Wang:
Facial Expression Recognition Using Local Sliding Window Attention. Sensors 23(7): 3424 (2023) - [j17]Jiantao Yuan, Zheyi Wu, Rui Yin, Guangzhe Zhao, Xianfu Chen, Celimuge Wu:
An Optimal Distributed Energy-Efficient Resource Scheduling for D2D-U Enabled Cellular Networks. IEEE Trans. Cogn. Commun. Netw. 9(4): 1053-1066 (2023) - [c6]Abhijit Das, Saurabh Atreya, Aritra Mukherjee, Matej Vitek, Haiqing Li, Caiyong Wang, Guangzhe Zhao, Fadi Boutros, Patrick Siebke, Jan Niklas Kolf, Naser Damer, Sun Ye, Lu Hexin, Fan Aobo, You Sheng, Sabari Nathan, R. Suganya, R. S. Rampriya, Geetanjali Sharma, P. Priyanka, Aditya Nigam, Peter Peer, Umapada Pal, Vitomir Struc:
Sclera Segmentation and Joint Recognition Benchmarking Competition: SSRBC 2023. IJCB 2023: 1-10 - [c5]Meiling Fang, Marco Huber, Julian Fiérrez, Raghavendra Ramachandra, Naser Damer, Alhasan Alkhaddour, Maksim Kasantcev, Vasiliy Pryadchenko, Ziyuan Yang, Huijie Huangfu, Yingyu Chen, Yi Zhang, Yuchen Pan, Junjun Jiang, Xianming Liu, Xianyun Sun, Caiyong Wang, Xingyu Liu, Zhaohua Chang, Guangzhe Zhao, Juan E. Tapia, Lázaro J. González Soler, Carlos M. Aravena, Daniel Schulz:
SynFacePAD 2023: Competition on Face Presentation Attack Detection Based on Privacy-aware Synthetic Training Data. IJCB 2023: 1-11 - [c4]Haiqing Li, Caiyong Wang, Guangzhe Zhao, Zhaofeng He, Yunlong Wang, Zhenan Sun:
Sclera-TransFuse: Fusing Swin Transformer and CNN for Accurate Sclera Segmentation. IJCB 2023: 1-8 - [c3]Patrick Tinsley, Sandip Purnapatra, Mahsa Mitcheff, Aidan Boyd, Colton R. Crum, Kevin W. Bowyer, Patrick J. Flynn, Stephanie Schuckers, Adam Czajka, Meiling Fang, Naser Damer, Xingyu Liu, Caiyong Wang, Xianyun Sun, Zhaohua Chang, Xinyue Li, Guangzhe Zhao, Juan E. Tapia, Christoph Busch, Carlos M. Aravena, Daniel Schulz:
Iris Liveness Detection Competition (LivDet-Iris) - The 2023 Edition. IJCB 2023: 1-10 - [i2]Patrick Tinsley, Sandip Purnapatra, Mahsa Mitcheff, Aidan Boyd, Colton R. Crum, Kevin W. Bowyer, Patrick J. Flynn, Stephanie Schuckers, Adam Czajka, Meiling Fang, Naser Damer, Xingyu Liu, Caiyong Wang, Xianyun Sun, Zhaohua Chang, Xinyue Li, Guangzhe Zhao, Juan E. Tapia, Christoph Busch, Carlos M. Aravena, Daniel Schulz:
Iris Liveness Detection Competition (LivDet-Iris) - The 2023 Edition. CoRR abs/2310.04541 (2023) - [i1]Meiling Fang, Marco Huber, Julian Fiérrez, Raghavendra Ramachandra, Naser Damer, Alhasan Alkhaddour, Maksim Kasantcev, Vasiliy Pryadchenko, Ziyuan Yang, Huijie Huangfu, Yingyu Chen, Yi Zhang, Yuchen Pan, Junjun Jiang, Xianming Liu, Xianyun Sun, Caiyong Wang, Xingyu Liu, Zhaohua Chang, Guangzhe Zhao, Juan E. Tapia, Lázaro J. González Soler, Carlos M. Aravena, Daniel Schulz:
SynFacePAD 2023: Competition on Face Presentation Attack Detection Based on Privacy-aware Synthetic Training Data. CoRR abs/2311.05336 (2023) - 2022
- [j16]Guangzhe Zhao, Yanqing He, Hanting Yang, Yong Tao:
Research on fatigue detection based on visual features. IET Image Process. 16(4): 1044-1053 (2022) - [j15]Na Zhu, Guangzhe Zhao, Xiaolong Zhang, Zhexue Jin:
Falling motion detection algorithm based on deep learning. IET Image Process. 16(11): 2845-2853 (2022) - [j14]Guangzhe Zhao, Shuai Shao, Min Yu:
Key techniques for classification of thorax diseases based on deep learning. Int. J. Imaging Syst. Technol. 32(6): 2184-2197 (2022) - 2021
- [j13]Yunzhen Zhang, Yuan Ping, Zhili Zhang, Guangzhe Zhao:
Recent Advances in Dimensionality Reduction Modeling and Multistability Reconstitution of Memristive Circuit. Complex. 2021: 2747174:1-2747174:18 (2021) - [j12]Guangzhe Zhao, Hanting Yang, Bing Tu, Lei Zhang:
A Survey on Image Emotion Recognition. J. Inf. Process. Syst. 17(6): 1138-1156 (2021) - 2020
- [j11]Guangzhe Zhao, Hanting Yang, Min Yu:
Expression Recognition Method Based on a Lightweight Convolutional Neural Network. IEEE Access 8: 38528-38537 (2020) - [j10]Guangzhe Zhao, Hanting Yang, Yong Tao, Lei Zhang, Chunxiao Zhao:
Lightweight CNN-based Expression Recognition on Humanoid Robot. KSII Trans. Internet Inf. Syst. 14(3): 1188-1203 (2020) - [j9]Guangzhe Zhao, Nanying Li, Bing Tu, Guoyun Zhang, Wei He:
Density Peak Covariance Matrix for Feature Extraction of Hyperspectral Image. IEEE Geosci. Remote. Sens. Lett. 17(3): 534-538 (2020) - [j8]Bing Tu, Jinping Wang, Guangzhe Zhao, Xiaofei Zhang, Guoyun Zhang:
Dual-Stage Construction of Probability for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 17(5): 889-893 (2020)
2010 – 2019
- 2019
- [j7]Guangzhe Zhao, Guangyun Liu, Leyuan Fang, Bing Tu, Pedram Ghamisi:
Multiple convolutional layers fusion framework for hyperspectral image classification. Neurocomputing 339: 149-160 (2019) - [j6]Leyuan Fang, Yuxuan Jin, Laifeng Huang, Siyu Guo, Guangzhe Zhao, Xiangdong Chen:
Iterative fusion convolutional neural networks for classification of optical coherence tomography images. J. Vis. Commun. Image Represent. 59: 327-333 (2019) - 2018
- [j5]Yang Xin, Yankun Cao, Zhi Liu, Yuling Chen, Lizhen Cui, Yaowen Zhu, Haixia Hou, Guangzhe Zhao, Mingyu Wang:
Automatic Tongue Verification Based on Appearance Manifold Learning in Image Sequences for the Internet of Medical Things Platform. IEEE Access 6: 43885-43891 (2018) - [j4]Zhi Liu, Yankun Cao, Lizhen Cui, Jiahua Song, Guangzhe Zhao:
A Benchmark Database and Baseline Evaluation for Fall Detection Based on Wearable Sensors for the Internet of Medical Things Platform. IEEE Access 6: 51286-51296 (2018) - [j3]Guangzhe Zhao, Bing Tu, Hongyan Fei, Nanying Li, Xianchang Yang:
Spatial-spectral classification of hyperspectral image via group tensor decomposition. Neurocomputing 316: 68-77 (2018) - [j2]Guangzhe Zhao, Yong Tao, Hui Liu, Xianling Deng, Youdong Chen, Hegen Xiong, Xianwu Xie, Zengliang Fang:
A robot demonstration method based on LWR and Q-learning algorithm. J. Intell. Fuzzy Syst. 35(1): 35-46 (2018) - [j1]Bing Tu, Wenlan Kuang, Guangzhe Zhao, Hongyan Fei:
Hyperspectral Image Classification via Superpixel Spectral Metrics Representation. IEEE Signal Process. Lett. 25(10): 1520-1524 (2018) - [c2]Yinghao Ge, Weile Zhang, Feifei Gao, Pengcheng Mu, Guangzhe Zhao:
Angle-Domain Frequency Synchronization for Massive MIMO Uplink with Adaptive MUI Suppression. GLOBECOM 2018: 1-6 - [c1]Weidong Shao, Shun Zhang, Hongyan Li, Jianpeng Ma, Guangzhe Zhao, Xiushe Zhang:
Spatially Sparse Code Multiplexing for the Massive MIMO Networks. GLOBECOM 2018: 1-6
Coauthor Index
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