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Zhenghua Xu
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Publications
- 2024
- [j21]Zhenghua Xu, Zhoutao Yu, Hexiang Zhang, Junyang Chen, Junhua Gu, Thomas Lukasiewicz, Victor C. M. Leung:
PhaCIA-TCNs: Short-Term Load Forecasting Using Temporal Convolutional Networks With Parallel Hybrid Activated Convolution and Input Attention. IEEE Trans. Netw. Sci. Eng. 11(1): 427-438 (2024) - [j20]Zhenghua Xu, Biao Tian, Shijie Liu, Xiangtao Wang, Di Yuan, Junhua Gu, Junyang Chen, Thomas Lukasiewicz, Victor C. M. Leung:
Collaborative Attention Guided Multi-Scale Feature Fusion Network for Medical Image Segmentation. IEEE Trans. Netw. Sci. Eng. 11(2): 1857-1871 (2024) - 2023
- [j19]Di Yuan, Yunxin Liu, Zhenghua Xu, Yuefu Zhan, Junyang Chen, Thomas Lukasiewicz:
Painless and accurate medical image analysis using deep reinforcement learning with task-oriented homogenized automatic pre-processing. Comput. Biol. Medicine 153: 106487 (2023) - [j15]Junyang Chen, Ziyi Chen, Mengzhu Wang, Ge Fan, Guo Zhong, Ou Liu, Wenfeng Du, Zhenghua Xu, Zhiguo Gong:
A Neural Inference of User Social Interest for Item Recommendation. Data Sci. Eng. 8(3): 223-233 (2023) - [j13]Junyang Chen, Mengzhu Wang, Haodi Zhang, Zhenghua Xu, Xueliang Li, Zhiguo Gong, Kaishun Wu, Victor C. M. Leung:
IRLM: Inductive Representation Learning Model for Personalized POI Recommendation. IEEE Trans. Comput. Soc. Syst. 10(5): 2827-2836 (2023) - [c24]Xiangtao Wang, Ruizhi Wang, Biao Tian, Jiaojiao Zhang, Shuo Zhang, Junyang Chen, Thomas Lukasiewicz, Zhenghua Xu:
MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self-Supervised Medical Image Segmentation. ICASSP 2023: 1-5 - [c23]Ruizhi Wang, Xiangtao Wang, Zhenghua Xu, Wenting Xu, Junyang Chen, Thomas Lukasiewicz:
MvCo-DoT: Multi-View Contrastive Domain Transfer Network for Medical Report Generation. ICASSP 2023: 1-5 - [c22]Hexiang Zhang, Zhenghua Xu, Dan Yao, Shuo Zhang, Junyang Chen, Thomas Lukasiewicz:
Multi-Head Feature Pyramid Networks for Breast Mass Detection. ICASSP 2023: 1-5 - [i25]Hexiang Zhang, Zhenghua Xu, Dan Yao, Shuo Zhang, Junyang Chen, Thomas Lukasiewicz:
Multi-Head Feature Pyramid Networks for Breast Mass Detection. CoRR abs/2302.11106 (2023) - [i24]Xiangtao Wang, Ruizhi Wang, Biao Tian, Jiaojiao Zhang, Shuo Zhang, Junyang Chen, Thomas Lukasiewicz, Zhenghua Xu:
MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self-Supervised Medical Image Segmentation. CoRR abs/2302.13699 (2023) - [i23]Ruizhi Wang, Xiangtao Wang, Zhenghua Xu, Wenting Xu, Junyang Chen, Thomas Lukasiewicz:
MvCo-DoT: Multi-View Contrastive Domain Transfer Network for Medical Report Generation. CoRR abs/2304.07465 (2023) - 2022
- [j11]Zhenghua Xu, Shijie Liu, Di Yuan, Lei Wang, Junyang Chen, Thomas Lukasiewicz, Zhigang Fu, Rui Zhang:
ω-net: Dual supervised medical image segmentation with multi-dimensional self-attention and diversely-connected multi-scale convolution. Neurocomputing 500: 177-190 (2022) - [j10]Junyang Chen, Zhiguo Gong, Wei Wang, Cong Wang, Zhenghua Xu, Jianming Lv, Xueliang Li, Kaishun Wu, Weiwen Liu:
Adversarial Caching Training: Unsupervised Inductive Network Representation Learning on Large-Scale Graphs. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7079-7090 (2022) - [i19]Wenting Xu, Zhenghua Xu, Junyang Chen, Chang Qi, Thomas Lukasiewicz:
Hybrid Reinforced Medical Report Generation with M-Linear Attention and Repetition Penalty. CoRR abs/2210.13729 (2022) - 2020
- [i10]Chang Qi, Junyang Chen, Guizhi Xu, Zhenghua Xu, Thomas Lukasiewicz, Yang Liu:
SAG-GAN: Semi-Supervised Attention-Guided GANs for Data Augmentation on Medical Images. CoRR abs/2011.07534 (2020) - [i8]Di Yuan, Junyang Chen, Zhenghua Xu, Thomas Lukasiewicz, Zhigang Fu, Guizhi Xu:
Efficient Medical Image Segmentation with Intermediate Supervision Mechanism. CoRR abs/2012.03673 (2020) - [i7]Bo Wang, Lei Wang, Junyang Chen, Zhenghua Xu, Thomas Lukasiewicz, Zhigang Fu:
w-Net: Dual Supervised Medical Image Segmentation Model with Multi-Dimensional Attention and Cascade Multi-Scale Convolution. CoRR abs/2012.03674 (2020)
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last updated on 2024-09-10 01:14 CEST by the dblp team
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