Zhenghua Xu

According to our database, Zhenghua Xu authored at least 68 papers between 2012 and 2024.

Collaborative distances:

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

2024

Automatic data augmentation for medical image segmentation using Adaptive Sequence-length based Deep Reinforcement Learning.

Zhenghua Xu, Shengxin Wang, Gang Xu, Yunxin Liu, Miao Yu, Hongwei Zhang, Thomas Lukasiewicz, Junhua Gu

Comput. Biol. Medicine, February, 2024

Multi-ConDoS: Multimodal Contrastive Domain Sharing Generative Adversarial Networks for Self-Supervised Medical Image Segmentation.

Jiaojiao Zhang, Shuo Zhang, Xiaoqian Shen, Thomas Lukasiewicz, Zhenghua Xu

IEEE Trans. Medical Imaging, January, 2024

Cross-domain attention-guided generative data augmentation for medical image analysis with limited data.

Zhenghua Xu, Jiaqi Tang, Chang Qi, Dan Yao, Caihua Liu, Yuefu Zhan, Thomas Lukasiewicz

Comput. Biol. Medicine, January, 2024

PhaCIA-TCNs: Short-Term Load Forecasting Using Temporal Convolutional Networks With Parallel Hybrid Activated Convolution and Input Attention.

Zhenghua Xu, Zhoutao Yu, Hexiang Zhang, Junyang Chen, Junhua Gu, Thomas Lukasiewicz, Victor C. M. Leung

IEEE Trans. Netw. Sci. Eng., 2024

Collaborative Attention Guided Multi-Scale Feature Fusion Network for Medical Image Segmentation.

Zhenghua Xu, Biao Tian, Shijie Liu, Xiangtao Wang, Di Yuan, Junhua Gu, Junyang Chen, Thomas Lukasiewicz, Victor C. M. Leung

IEEE Trans. Netw. Sci. Eng., 2024

2023

RIRGAN: An end-to-end lightweight multi-task learning method for brain MRI super-resolution and denoising.

Miao Yu, Miaomiao Guo, Shuai Zhang, Yuefu Zhan, Mingkang Zhao, Thomas Lukasiewicz, Zhenghua Xu

Comput. Biol. Medicine, December, 2023

IRLM: Inductive Representation Learning Model for Personalized POI Recommendation.

Junyang Chen, Mengzhu Wang, Haodi Zhang, Zhenghua Xu, Xueliang Li, Zhiguo Gong, Kaishun Wu, Victor C. M. Leung

IEEE Trans. Comput. Soc. Syst., October, 2023

A Neural Inference of User Social Interest for Item Recommendation.

Junyang Chen, Ziyi Chen, Mengzhu Wang, Ge Fan, Guo Zhong, Ou Liu, Wenfeng Du, Zhenghua Xu, Zhiguo Gong

Data Sci. Eng., September, 2023

EFPN: Effective medical image detection using feature pyramid fusion enhancement.

Zhenghua Xu, Xudong Zhang, Hexiang Zhang, Yunxin Liu, Yuefu Zhan, Thomas Lukasiewicz

Comput. Biol. Medicine, September, 2023

μ-Net: Medical image segmentation using efficient and effective deep supervision.

Di Yuan, Zhenghua Xu, Biao Tian, Hening Wang, Yuefu Zhan, Thomas Lukasiewicz

Comput. Biol. Medicine, June, 2023

Painless and accurate medical image analysis using deep reinforcement learning with task-oriented homogenized automatic pre-processing.

Di Yuan, Yunxin Liu, Zhenghua Xu, Yuefu Zhan, Junyang Chen, Thomas Lukasiewicz

Comput. Biol. Medicine, February, 2023

Toward Knowledge as a Service (KaaS): Predicting Popularity of Knowledge Services Leveraging Graph Neural Networks.

Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai, Zhenghua Xu, Thomas Lukasiewicz

IEEE Trans. Serv. Comput., 2023

Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation.

Shuo Zhang, Jiaojiao Zhang, Biao Tian, Thomas Lukasiewicz, Zhenghua Xu

Medical Image Anal., 2023

C^2M-DoT: Cross-modal consistent multi-view medical report generation with domain transfer network.

Ruizhi Wang, Xiangtao Wang, Jie Zhou, Thomas Lukasiewicz, Zhenghua Xu

CoRR, 2023

AMLP: Adaptive Masking Lesion Patches for Self-supervised Medical Image Segmentation.

Xiangtao Wang, Ruizhi Wang, Jie Zhou, Thomas Lukasiewicz, Zhenghua Xu

CoRR, 2023

A Robust Agatston Score for Coronary Artery Calcium Scoring from Non-ECG-Gated CT with Different Reconstruction Kernels.

Shuo Zhang, Xinmei Su, Quanlong Feng, Zifeng Wu, Zhenghua Xu

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Adaptive-Masking Policy with Deep Reinforcement Learning for Self-Supervised Medical Image Segmentation.

Gang Xu, Shengxin Wang, Thomas Lukasiewicz, Zhenghua Xu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Multi-Head Feature Pyramid Networks for Breast Mass Detection.

Hexiang Zhang, Zhenghua Xu, Dan Yao, Shuo Zhang, Junyang Chen, Thomas Lukasiewicz

Proceedings of the IEEE International Conference on Acoustics, 2023

MvCo-DoT: Multi-View Contrastive Domain Transfer Network for Medical Report Generation.

Ruizhi Wang, Xiangtao Wang, Zhenghua Xu, Wenting Xu, Junyang Chen, Thomas Lukasiewicz

Proceedings of the IEEE International Conference on Acoustics, 2023

MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self-Supervised Medical Image Segmentation.

Xiangtao Wang, Ruizhi Wang, Biao Tian, Jiaojiao Zhang, Shuo Zhang, Junyang Chen, Thomas Lukasiewicz, Zhenghua Xu

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Towards recurrent neural network with multi-path feature fusion for signal modulation recognition.

Zihang Lei, Mengxi Jiang, Guangsong Yang, Tianmin Guan, Peng Huang, Yu Gu, Zhenghua Xu, Qiubo Ye

Wirel. Networks, 2022

Adversarial Caching Training: Unsupervised Inductive Network Representation Learning on Large-Scale Graphs.

Junyang Chen, Zhiguo Gong, Wei Wang, Cong Wang, Zhenghua Xu, Jianming Lv, Xueliang Li, Kaishun Wu, Weiwen Liu

IEEE Trans. Neural Networks Learn. Syst., 2022

ω-net: Dual supervised medical image segmentation with multi-dimensional self-attention and diversely-connected multi-scale convolution.

Zhenghua Xu, Shijie Liu, Di Yuan, Lei Wang, Junyang Chen, Thomas Lukasiewicz, Zhigang Fu, Rui Zhang

Neurocomputing, 2022

Incremental Predictive Coding: A Parallel and Fully Automatic Learning Algorithm.

Tommaso Salvatori, Yuhang Song, Beren Millidge, Zhenghua Xu, Lei Sha, Cornelius Emde, Rafal Bogacz, Thomas Lukasiewicz

CoRR, 2022

A Primary Frequency Control Strategy for Variable-Speed Pumped-Storage Plant in Power Generation Based on Adaptive Model Predictive Control.

Zhenghua Xu, Changhong Deng, Qiuling Yang

CoRR, 2022

Hybrid Reinforced Medical Report Generation with M-Linear Attention and Repetition Penalty.

Wenting Xu, Zhenghua Xu, Junyang Chen, Chang Qi, Thomas Lukasiewicz

CoRR, 2022

PCA: Semi-supervised Segmentation with Patch Confidence Adversarial Training.

Zihang Xu, Zhenghua Xu, Shuo Zhang, Thomas Lukasiewicz

CoRR, 2022

Reverse Differentiation via Predictive Coding.

Tommaso Salvatori, Yuhang Song, Zhenghua Xu, Thomas Lukasiewicz, Rafal Bogacz

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

An intelligent diagnosis model of accidents in nuclear power plant.

Yanqi Liu, Li Zhang, Zhenghua Xu, Xueyang Liu

J. Intell. Fuzzy Syst., 2021

Predictive Coding Can Do Exact Backpropagation on Any Neural Network.

Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz, Zhenghua Xu

CoRR, 2021

Predictive Coding Can Do Exact Backpropagation on Convolutional and Recurrent Neural Networks.

Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz, Zhenghua Xu

CoRR, 2021

Application Analysis of Radial Basis Function Neural Network Algorithm of Genetic Algorithm for Environmental Restoration and Treatment Effect Evaluation of Decommissioned Uranium Tailings Ponds.

Kun Wei, Guokai Xiong, Zhenghua Xu, Yong Liu

Comput. Intell. Neurosci., 2021

Associative Memories via Predictive Coding.

Tommaso Salvatori, Yuhang Song, Yujian Hong, Lei Sha, Simon Frieder, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

RSG: A Simple but Effective Module for Learning Imbalanced Datasets.

Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Jianfei Cai, Zhenghua Xu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Detecting Beneficial Feature Interactions for Recommender Systems.

Yixin Su, Rui Zhang, Sarah M. Erfani, Zhenghua Xu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

w-Net: Dual Supervised Medical Image Segmentation Model with Multi-Dimensional Attention and Cascade Multi-Scale Convolution.

Bo Wang, Lei Wang, Junyang Chen, Zhenghua Xu, Thomas Lukasiewicz, Zhigang Fu

CoRR, 2020

Efficient Medical Image Segmentation with Intermediate Supervision Mechanism.

Di Yuan, Junyang Chen, Zhenghua Xu, Thomas Lukasiewicz, Zhigang Fu, Guizhi Xu

CoRR, 2020

Reinforced Medical Report Generation with X-Linear Attention and Repetition Penalty.

Wenting Xu, Chang Qi, Zhenghua Xu, Thomas Lukasiewicz

CoRR, 2020

SAG-GAN: Semi-Supervised Attention-Guided GANs for Data Augmentation on Medical Images.

Chang Qi, Junyang Chen, Guizhi Xu, Zhenghua Xu, Thomas Lukasiewicz, Yang Liu

CoRR, 2020

Deep Learning in Computer-Aided Diagnosis and Treatment of Tumors: A Survey.

Dan Zhao, Guizhi Xu, Zhenghua Xu, Thomas Lukasiewicz, Minmin Xue, Zhigang Fu

CoRR, 2020

Detecting Relevant Feature Interactions for Recommender Systems via Graph Neural Networks.

Yixin Su, Rui Zhang, Sarah M. Erfani, Zhenghua Xu

CoRR, 2020

On Collision Avoiding Fixed-Time Flocking with Measurable Diameter to a Cucker-Smale-Type Self-Propelled Particle Model.

Qizhen Xiao, Hongliang Liu, Zhenghua Xu, Zigen Ouyang

Complex., 2020

Classifying Melanoma Skin Lesions Using Convolutional Spiking Neural Networks With Unsupervised STDP Learning Rule.

Qian Zhou, Yan Shi, Zhenghua Xu, Ruowei Qu, Guizhi Xu

IEEE Access, 2020

Short-Term Load Forecasting Using Recurrent Neural Networks With Input Attention Mechanism and Hidden Connection Mechanism.

Mingfei Zhang, Zhoutao Yu, Zhenghua Xu

IEEE Access, 2020

Fixed-Time Leader-Following Flocking for Nonlinear Second-Order Multi-Agent Systems.

Zhenghua Xu, Hongliang Liu, Yong Liu

IEEE Access, 2020

Can the Brain Do Backpropagation? - Exact Implementation of Backpropagation in Predictive Coding Networks.

Yuhang Song, Thomas Lukasiewicz, Zhenghua Xu, Rafal Bogacz

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation.

Zhenghua Xu, Di Yuan, Thomas Lukasiewicz, Cheng Chen, Yishu Miao, Guizhi Xu

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards.

Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Shangtong Zhang, Andrzej Wojcicki, Mai Xu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence.

Yuhang Song, Andrzej Wojcicki, Thomas Lukasiewicz, Jianyi Wang, Abi Aryan, Zhenghua Xu, Mai Xu, Zihan Ding, Lianlong Wu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence.

Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu, Zihan Ding, Lianlong Wu

CoRR, 2019

Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards.

Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Shangtong Zhang, Mai Xu

CoRR, 2019

Segmentation is All You Need.

Yuxiang Wu, Zehua Cheng, Zhenghua Xu, Weiyang Wang

CoRR, 2019

Bandwidth Reduction using Importance Weighted Pruning on Ring AllReduce.

Zehua Cheng, Zhenghua Xu

CoRR, 2019

Long Text Analysis Using Sliced Recurrent Neural Networks with Breaking Point Information Enrichment.

Bo Li, Zehua Cheng, Zhenghua Xu, Wei Ye, Thomas Lukasiewicz, Shikun Zhang

Proceedings of the IEEE International Conference on Acoustics, 2019

Semi-Supervised Attention-Guided CycleGAN for Data Augmentation on Medical Images.

Zhenghua Xu, Chang Qi, Guizhi Xu

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Tumor Segmentation Based on Deeply Supervised Multi-Scale U-Net.

Lei Wang, Bo Wang, Zhenghua Xu

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Diversity-Driven Extensible Hierarchical Reinforcement Learning.

Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Lightweight Tag-Aware Personalized Recommendation on the Social Web Using Ontological Similarity.

Zhenghua Xu, Oana Tifrea-Marciuska, Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari, Cheng Chen

IEEE Access, 2018

2017

Personalized recommender systems on the social web.

Zhenghua Xu

PhD thesis, 2017

Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation.

Zhenghua Xu, Cheng Chen, Thomas Lukasiewicz, Yishu Miao

CoRR, 2017

Location-Aware Personalized News Recommendation With Deep Semantic Analysis.

Cheng Chen, Xiangwu Meng, Zhenghua Xu, Thomas Lukasiewicz

IEEE Access, 2017

Tag-Aware Personalized Recommendation Using a Hybrid Deep Model.

Zhenghua Xu, Thomas Lukasiewicz, Cheng Chen, Yishu Miao, Xiangwu Meng

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Location-Aware News Recommendation Using Deep Localized Semantic Analysis.

Cheng Chen, Thomas Lukasiewicz, Xiangwu Meng, Zhenghua Xu

Proceedings of the Database Systems for Advanced Applications, 2017

2016

Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling.

Zhenghua Xu, Cheng Chen, Thomas Lukasiewicz, Yishu Miao, Xiangwu Meng

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2014

Improving Personalized Search on the Social Web Based on Similarities between Users.

Zhenghua Xu, Thomas Lukasiewicz, Oana Tifrea-Marciuska

Proceedings of the Scalable Uncertainty Management - 8th International Conference, 2014

2013

Destination prediction by sub-trajectory synthesis and privacy protection against such prediction.

Andy Yuan Xue, Rui Zhang, Yu Zheng, Xing Xie, Jin Huang, Zhenghua Xu

Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

2012

An adaptive algorithm for online time series segmentation with error bound guarantee.

Zhenghua Xu, Rui Zhang, Kotagiri Ramamohanarao, Udaya Parampalli

Proceedings of the 15th International Conference on Extending Database Technology, 2012

A Branch and Bound Method for Min-dist Location Selection Queries.

Jianzhong Qi, Zhenghua Xu, Yuan Xue, Zeyi Wen

Proceedings of the Twenty-Third Australasian Database Conference, 2012