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2020 – today
- 2024
[j25]Zhenghua Xu
, Jiaqi Tang, Chang Qi, Dan Yao, Caihua Liu, Yuefu Zhan, Thomas Lukasiewicz:
Cross-domain attention-guided generative data augmentation for medical image analysis with limited data. Comput. Biol. Medicine 168: 107744 (2024)- [j24]Zhenghua Xu, Shengxin Wang, Gang Xu, Yunxin Liu, Miao Yu, Hongwei Zhang, Thomas Lukasiewicz, Junhua Gu:
Automatic data augmentation for medical image segmentation using Adaptive Sequence-length based Deep Reinforcement Learning. Comput. Biol. Medicine 169: 107877 (2024) - [j23]Xin Jin, Jing Liu, Zhuo Chen, Mengnan Liu, Mingyong Li, Zhenghua Xu, Jiangtao Ji:
Precision control system of rice potting and transplanting machine based on GA-Fuzzy PID controller. Comput. Electron. Agric. 220: 108912 (2024) - [j22]Jiaojiao Zhang, Shuo Zhang, Xiaoqian Shen, Thomas Lukasiewicz, Zhenghua Xu:
Multi-ConDoS: Multimodal Contrastive Domain Sharing Generative Adversarial Networks for Self-Supervised Medical Image Segmentation. IEEE Trans. Medical Imaging 43(1): 76-95 (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) - [c25]Tommaso Salvatori, Yuhang Song, Yordan Yordanov, Beren Millidge, Lei Sha, Cornelius Emde, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz:
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks. ICLR 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) - [j18]Di Yuan, Zhenghua Xu, Biao Tian, Hening Wang, Yuefu Zhan, Thomas Lukasiewicz:
μ-Net: Medical image segmentation using efficient and effective deep supervision. Comput. Biol. Medicine 160: 106963 (2023) - [j17]Zhenghua Xu, Xudong Zhang, Hexiang Zhang, Yunxin Liu, Yuefu Zhan, Thomas Lukasiewicz:
EFPN: Effective medical image detection using feature pyramid fusion enhancement. Comput. Biol. Medicine 163: 107149 (2023) - [j16]Miao Yu, Miaomiao Guo, Shuai Zhang, Yuefu Zhan, Mingkang Zhao, Thomas Lukasiewicz, Zhenghua Xu:
RIRGAN: An end-to-end lightweight multi-task learning method for brain MRI super-resolution and denoising. Comput. Biol. Medicine 167: 107632 (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) - [j14]Shuo Zhang, Jiaojiao Zhang, Biao Tian, Thomas Lukasiewicz, Zhenghua Xu:
Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation. Medical Image Anal. 83: 102656 (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) - [j12]Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai, Zhenghua Xu, Thomas Lukasiewicz:
Toward Knowledge as a Service (KaaS): Predicting Popularity of Knowledge Services Leveraging Graph Neural Networks. IEEE Trans. Serv. Comput. 16(1): 642-655 (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 - [c21]Gang Xu, Shengxin Wang, Thomas Lukasiewicz, Zhenghua Xu:
Adaptive-Masking Policy with Deep Reinforcement Learning for Self-Supervised Medical Image Segmentation. ICME 2023: 2285-2290 - [c20]Shuo Zhang, Xinmei Su, Quanlong Feng, Zifeng Wu, Zhenghua Xu:
A Robust Agatston Score for Coronary Artery Calcium Scoring from Non-ECG-Gated CT with Different Reconstruction Kernels. ISBI 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) - [i22]Xiangtao Wang, Ruizhi Wang, Jie Zhou, Thomas Lukasiewicz, Zhenghua Xu:
AMLP: Adaptive Masking Lesion Patches for Self-supervised Medical Image Segmentation. CoRR abs/2309.04312 (2023) - [i21]Ruizhi Wang, Xiangtao Wang, Jie Zhou, Thomas Lukasiewicz, Zhenghua Xu:
C^2M-DoT: Cross-modal consistent multi-view medical report generation with domain transfer network. CoRR abs/2310.05355 (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) - [j9]Zihang Lei, Mengxi Jiang, Guangsong Yang, Tianmin Guan, Peng Huang, Yu Gu, Zhenghua Xu, Qiubo Ye:
Towards recurrent neural network with multi-path feature fusion for signal modulation recognition. Wirel. Networks 28(2): 551-565 (2022) - [c19]Tommaso Salvatori, Yuhang Song, Zhenghua Xu, Thomas Lukasiewicz, Rafal Bogacz:
Reverse Differentiation via Predictive Coding. AAAI 2022: 8150-8158 - [i20]Zihang Xu, Zhenghua Xu, Shuo Zhang, Thomas Lukasiewicz:
PCA: Semi-supervised Segmentation with Patch Confidence Adversarial Training. CoRR abs/2207.11683 (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) - [i18]Zhenghua Xu, Changhong Deng, Qiuling Yang:
A Primary Frequency Control Strategy for Variable-Speed Pumped-Storage Plant in Power Generation Based on Adaptive Model Predictive Control. CoRR abs/2211.00206 (2022) - [i17]Tommaso Salvatori, Yuhang Song, Beren Millidge, Zhenghua Xu, Lei Sha, Cornelius Emde, Rafal Bogacz, Thomas Lukasiewicz:
Incremental Predictive Coding: A Parallel and Fully Automatic Learning Algorithm. CoRR abs/2212.00720 (2022) - 2021
- [j8]Kun Wei, Guokai Xiong, Zhenghua Xu, Yong Liu:
Application Analysis of Radial Basis Function Neural Network Algorithm of Genetic Algorithm for Environmental Restoration and Treatment Effect Evaluation of Decommissioned Uranium Tailings Ponds. Comput. Intell. Neurosci. 2021: 1650096:1-1650096:12 (2021) - [j7]Yanqi Liu, Li Zhang, Zhenghua Xu, Xueyang Liu:
An intelligent diagnosis model of accidents in nuclear power plant. J. Intell. Fuzzy Syst. 41(3): 4287-4294 (2021) - [c18]Yixin Su, Rui Zhang, Sarah M. Erfani, Zhenghua Xu:
Detecting Beneficial Feature Interactions for Recommender Systems. AAAI 2021: 4357-4365 - [c17]Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Jianfei Cai, Zhenghua Xu:
RSG: A Simple but Effective Module for Learning Imbalanced Datasets. CVPR 2021: 3784-3793 - [c16]Tommaso Salvatori, Yuhang Song, Yujian Hong, Lei Sha, Simon Frieder, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz:
Associative Memories via Predictive Coding. NeurIPS 2021: 3874-3886 - [i16]Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz, Zhenghua Xu:
Predictive Coding Can Do Exact Backpropagation on Convolutional and Recurrent Neural Networks. CoRR abs/2103.03725 (2021) - [i15]Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz, Zhenghua Xu:
Predictive Coding Can Do Exact Backpropagation on Any Neural Network. CoRR abs/2103.04689 (2021) - [i14]Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Jianfei Cai, Zhenghua Xu:
RSG: A Simple but Effective Module for Learning Imbalanced Datasets. CoRR abs/2106.09859 (2021) - [i13]Tommaso Salvatori, Yuhang Song, Yujian Hong, Simon Frieder, Lei Sha, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz:
Associative Memories via Predictive Coding. CoRR abs/2109.08063 (2021) - 2020
- [j6]Zhenghua Xu, Hongliang Liu, Yong Liu:
Fixed-Time Leader-Following Flocking for Nonlinear Second-Order Multi-Agent Systems. IEEE Access 8: 86262-86271 (2020) - [j5]Qian Zhou, Yan Shi, Zhenghua Xu, Ruowei Qu, Guizhi Xu:
Classifying Melanoma Skin Lesions Using Convolutional Spiking Neural Networks With Unsupervised STDP Learning Rule. IEEE Access 8: 101309-101319 (2020) - [j4]Mingfei Zhang, Zhoutao Yu, Zhenghua Xu:
Short-Term Load Forecasting Using Recurrent Neural Networks With Input Attention Mechanism and Hidden Connection Mechanism. IEEE Access 8: 186514-186529 (2020) - [j3]Qizhen Xiao, Hongliang Liu, Zhenghua Xu, Zigen Ouyang:
On Collision Avoiding Fixed-Time Flocking with Measurable Diameter to a Cucker-Smale-Type Self-Propelled Particle Model. Complex. 2020: 1094950:1-1094950:12 (2020) - [c15]Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Shangtong Zhang, Andrzej Wojcicki, Mai Xu:
Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards. AAAI 2020: 5826-5833 - [c14]Yuhang Song, Andrzej Wojcicki, Thomas Lukasiewicz, Jianyi Wang, Abi Aryan, Zhenghua Xu, Mai Xu, Zihan Ding, Lianlong Wu:
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence. AAAI 2020: 7253-7260 - [c13]Zhenghua Xu, Di Yuan, Thomas Lukasiewicz, Cheng Chen, Yishu Miao, Guizhi Xu:
Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation. ICASSP 2020: 3442-3446 - [c12]Yuhang Song, Thomas Lukasiewicz, Zhenghua Xu, Rafal Bogacz:
Can the Brain Do Backpropagation? - Exact Implementation of Backpropagation in Predictive Coding Networks. NeurIPS 2020 - [i12]Yixin Su, Rui Zhang, Sarah M. Erfani, Zhenghua Xu:
Detecting Relevant Feature Interactions for Recommender Systems via Graph Neural Networks. CoRR abs/2008.00404 (2020) - [i11]Dan Zhao, Guizhi Xu, Zhenghua Xu, Thomas Lukasiewicz, Minmin Xue, Zhigang Fu:
Deep Learning in Computer-Aided Diagnosis and Treatment of Tumors: A Survey. CoRR abs/2011.00940 (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) - [i9]Wenting Xu, Chang Qi, Zhenghua Xu, Thomas Lukasiewicz:
Reinforced Medical Report Generation with X-Linear Attention and Repetition Penalty. CoRR abs/2011.07680 (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)
2010 – 2019
- 2019
- [c11]Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu:
Diversity-Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019: 4992-4999 - [c10]Zhenghua Xu, Chang Qi, Guizhi Xu:
Semi-Supervised Attention-Guided CycleGAN for Data Augmentation on Medical Images. BIBM 2019: 563-568 - [c9]Lei Wang, Bo Wang, Zhenghua Xu:
Tumor Segmentation Based on Deeply Supervised Multi-Scale U-Net. BIBM 2019: 746-749 - [c8]Bo Li, Zehua Cheng, Zhenghua Xu, Wei Ye, Thomas Lukasiewicz, Shikun Zhang:
Long Text Analysis Using Sliced Recurrent Neural Networks with Breaking Point Information Enrichment. ICASSP 2019: 7550-7554 - [i6]Zehua Cheng, Zhenghua Xu:
Bandwidth Reduction using Importance Weighted Pruning on Ring AllReduce. CoRR abs/1901.01544 (2019) - [i5]Yuxiang Wu, Zehua Cheng, Zhenghua Xu, Weiyang Wang:
Segmentation is All You Need. CoRR abs/1904.13300 (2019) - [i4]Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Shangtong Zhang, Mai Xu:
Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards. CoRR abs/1905.04640 (2019) - [i3]Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu, Zihan Ding, Lianlong Wu:
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence. CoRR abs/1905.08085 (2019) - 2018
- [j2]Zhenghua Xu, Oana Tifrea-Marciuska, Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari, Cheng Chen:
Lightweight Tag-Aware Personalized Recommendation on the Social Web Using Ontological Similarity. IEEE Access 6: 35590-35610 (2018) - [i2]Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu:
Diversity-Driven Extensible Hierarchical Reinforcement Learning. CoRR abs/1811.04324 (2018) - 2017
- [b1]Zhenghua Xu:
Personalized recommender systems on the social web. University of Oxford, UK, 2017 - [j1]Cheng Chen, Xiangwu Meng, Zhenghua Xu, Thomas Lukasiewicz:
Location-Aware Personalized News Recommendation With Deep Semantic Analysis. IEEE Access 5: 1624-1638 (2017) - [c7]Cheng Chen, Thomas Lukasiewicz, Xiangwu Meng, Zhenghua Xu:
Location-Aware News Recommendation Using Deep Localized Semantic Analysis. DASFAA (1) 2017: 507-524 - [c6]Zhenghua Xu, Thomas Lukasiewicz, Cheng Chen, Yishu Miao, Xiangwu Meng:
Tag-Aware Personalized Recommendation Using a Hybrid Deep Model. IJCAI 2017: 3196-3202 - [i1]Zhenghua Xu, Cheng Chen, Thomas Lukasiewicz, Yishu Miao:
Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation. CoRR abs/1708.03797 (2017) - 2016
- [c5]Zhenghua Xu, Cheng Chen, Thomas Lukasiewicz, Yishu Miao, Xiangwu Meng:
Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling. CIKM 2016: 1921-1924 - 2014
- [c4]Zhenghua Xu, Thomas Lukasiewicz, Oana Tifrea-Marciuska:
Improving Personalized Search on the Social Web Based on Similarities between Users. SUM 2014: 306-319 - 2013
- [c3]Andy Yuan Xue, Rui Zhang, Yu Zheng, Xing Xie, Jin Huang, Zhenghua Xu:
Destination prediction by sub-trajectory synthesis and privacy protection against such prediction. ICDE 2013: 254-265 - 2012
- [c2]Jianzhong Qi, Zhenghua Xu, Yuan Xue, Zeyi Wen:
A Branch and Bound Method for Min-dist Location Selection Queries. ADC 2012: 51-60 - [c1]Zhenghua Xu, Rui Zhang, Kotagiri Ramamohanarao, Udaya Parampalli:
An adaptive algorithm for online time series segmentation with error bound guarantee. EDBT 2012: 192-203
Coauthor Index
[j25] [j24] [j22] [j21] [j20] [c25] [j19] [j18] [j17] [j16] [j14] [j12] [c24] [c23] [c22] [c21] [i25] [i24] [i23] [i22] [i21] [j11] [c19] [i20] [i19] [i17] [c17] [c16] [i16] [i15] [i14] [i13] [c15] [c14] [c13] [c12] [i11] [i10] [i9] [i8] [i7] [c11] [c8] [i4] [i3] [j2] [i2] [j1] [c7] [c6] [i1] [c5] [c4]
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last updated on 2024-10-07 21:19 CEST by the dblp team
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