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Journal Articles
- 2025
[j43]Tongfeng Sun, Hongjian Yang, Zhongnian Li, Xinzheng Xu, Xiurui Wang:
Adversarial domain adaptation with CLIP for few-shot image classification. Appl. Intell. 55(1): 59 (2025)- 2024
- [j42]Zhongnian Li, Mengting Xu, Xinzheng Xu
, Daoqiang Zhang:
Complementary Labels Learning with Augmented Classes. Knowl. Based Syst. 290: 111570 (2024) - 2023
- [j41]Xinzheng Xu, Jian Zhang, Zhongnian Li:
Learning from hybrid labels with partial labels via hybrid-grained contrast regularization. Appl. Soft Comput. 144: 110533 (2023) - [j40]Xinzheng Xu, Yanyan Guo, Xin Wang:
Human pose estimation model based on DiracNets and integral pose regression. Multim. Tools Appl. 82(23): 36019-36039 (2023) - [j39]Haotian Wang, Shibin Zhou, Xinzheng Xu, Guopeng Zhang:
TPN: Triple parts network for few-shot instance segmentation. Multim. Tools Appl. 82(30): 46439-46455 (2023) - [j38]Meng Wei, Yong Zhou, Zhongnian Li, Xinzheng Xu:
Class-imbalanced complementary-label learning via weighted loss. Neural Networks 166: 555-565 (2023) - 2022
- [j37]Xinzheng Xu, Jianying Chang, Shifei Ding:
Image Style Transfering Based on StarGAN and Class Encoder. Int. J. Softw. Informatics 12(2): 245-258 (2022) - 2021
- [j36]Fangyan Zhang, Xin Wang, Tongfeng Sun, Xinzheng Xu:
SE-DCGAN: a New Method of Semantic Image Restoration. Cogn. Comput. 13(4): 981-991 (2021) - [j35]Tongfeng Sun, Shifei Ding, Xinzheng Xu:
An iterative stacked weighted auto-encoder. Soft Comput. 25(6): 4833-4843 (2021) - 2020
- [j34]Zuopeng Zhao, Zhongxin Zhang, Xinzheng Xu, Yi Xu, Hualin Yan, Lan Zhang:
A Lightweight Object Detection Network for Real-Time Detection of Driver Handheld Call on Embedded Devices. Comput. Intell. Neurosci. 2020: 6616584:1-6616584:12 (2020) - [j33]Zuopeng Zhao, Sili Xia, Xinzheng Xu, Lan Zhang, Hualin Yan, Yi Xu, Zhongxin Zhang:
Driver Distraction Detection Method Based on Continuous Head Pose Estimation. Comput. Intell. Neurosci. 2020: 9606908:1-9606908:10 (2020) - [j32]Tongfeng Sun, Changlong Shao, Hongmei Liao, Shifei Ding, Xinzheng Xu:
Research on adaptive local feature enhancement in convolutional neural networks. IET Image Process. 14(16): 4306-4315 (2020) - [j31]Xinzheng Xu, Shan Li, Tianming Liang, Tongfeng Sun:
Sample selection-based hierarchical extreme learning machine. Neurocomputing 377: 95-102 (2020) - [j30]Yanyan Guo, Xin Wang, Pengcheng Xiao, Xinzheng Xu:
An ensemble learning framework for convolutional neural network based on multiple classifiers. Soft Comput. 24(5): 3727-3735 (2020) - 2019
- [j29]Shifei Ding, Xingyu Zhao, Xinzheng Xu, Tongfeng Sun, Weikuan Jia:
An effective asynchronous framework for small scale reinforcement learning problems. Appl. Intell. 49(12): 4303-4318 (2019) - [j28]Xinzheng Xu, Tianming Liang, Jiong Zhu, Dong Zheng, Tongfeng Sun:
Review of classical dimensionality reduction and sample selection methods for large-scale data processing. Neurocomputing 328: 5-15 (2019) - [j27]Xinzheng Xu, Dong Shan, Shan Li, Tongfeng Sun, Pengcheng Xiao, Jianping Fan:
Multi-label learning method based on ML-RBF and laplacian ELM. Neurocomputing 331: 213-219 (2019) - 2018
- [j26]Tongfeng Sun, Shifei Ding, Xinzheng Xu:
An image response framework for no-reference image quality assessment. Comput. Electr. Eng. 70: 764-776 (2018) - [j25]Dong Shan, Xinzheng Xu, Tianming Liang, Shifei Ding:
Rank-Adaptive Non-Negative Matrix Factorization. Cogn. Comput. 10(3): 506-515 (2018) - 2017
- [j24]Xinzheng Xu, Tianming Liang, Guanying Wang, Maxin Wang, Xuesong Wang:
Self-Adaptive PCNN Based on the ACO Algorithm and its Application on Medical Image Segmentation. Intell. Autom. Soft Comput. 23(2): 303-310 (2017) - [j23]Maxin Wang, Xinzheng Xu, Guanying Wang, Shifei Ding, Tongfeng Sun:
Medical images segmentation based on improved three-dimensional pulse coupled neural network. Int. J. Wirel. Mob. Comput. 13(1): 72-77 (2017) - [j22]Shifei Ding, Nan Zhang, Jian Zhang, Xinzheng Xu, Zhongzhi Shi:
Unsupervised extreme learning machine with representational features. Int. J. Mach. Learn. Cybern. 8(2): 587-595 (2017) - [j21]Xinzheng Xu, Guanying Wang, Shifei Ding, Yuhu Cheng, Xuesong Wang:
Pulse-coupled neural networks and parameter optimization methods. Neural Comput. Appl. 28(S-1): 671-681 (2017) - [j20]Tianming Liang, Xinzheng Xu, Pengcheng Xiao:
A new image classification method based on modified condensed nearest neighbor and convolutional neural networks. Pattern Recognit. Lett. 94: 105-111 (2017) - 2016
- [j19]Xinzheng Xu, Dong Shan, Guanying Wang, Xiangying Jiang:
Multimodal medical image fusion using PCNN optimized by the QPSO algorithm. Appl. Soft Comput. 46: 588-595 (2016) - [j18]Tongfeng Sun, Shifei Ding, Wei Chen, Xinzheng Xu:
No-reference image quality assessment based on gradient histogram response. Comput. Electr. Eng. 54: 330-344 (2016) - [j17]Li Xu, Shifei Ding, Xinzheng Xu, Nan Zhang:
Self-adaptive Extreme Learning Machine Optimized by Rough Set Theory and Affinity Propagation Clustering. Cogn. Comput. 8(4): 720-728 (2016) - [j16]Shifei Ding, Jian Zhang, Xinzheng Xu, Yanan Zhang:
A wavelet extreme learning machine. Neural Comput. Appl. 27(4): 1033-1040 (2016) - [j15]Guanying Wang, Xinzheng Xu, Xiangying Jiang, Shifei Ding:
Medical image registration based on self-adapting pulse-coupled neural networks and mutual information. Neural Comput. Appl. 27(7): 1917-1926 (2016) - 2015
- [j14]Shifei Ding, Han Zhao, Yanan Zhang, Xinzheng Xu, Ru Nie:
Extreme learning machine: algorithm, theory and applications. Artif. Intell. Rev. 44(1): 103-115 (2015) - [j13]Jian Ni, Xinzheng Xu, Shifei Ding, Tongfeng Sun:
An adaptive extreme learning machine algorithm and its application on face recognition. Int. J. Comput. Sci. Math. 6(6): 611-619 (2015) - [j12]Xinzheng Xu, Guanying Wang, Shifei Ding, Xiangying Jiang, Zuopeng Zhao:
A new method for constructing granular neural networks based on rule extraction and extreme learning machine. Pattern Recognit. Lett. 67: 138-144 (2015) - 2014
- [j11]Hongjie Jia, Shifei Ding, Xinzheng Xu, Ru Nie:
The latest research progress on spectral clustering. Neural Comput. Appl. 24(7-8): 1477-1486 (2014) - [j10]Shifei Ding, Xinzheng Xu, Ru Nie:
Extreme learning machine and its applications. Neural Comput. Appl. 25(3-4): 549-556 (2014) - 2013
- [j9]Hong Zhu, Shifei Ding, Xinzheng Xu, Li Xu:
A parallel attribute reduction algorithm based on Affinity Propagation clustering. J. Comput. 8(4): 990-997 (2013) - [j8]Yanan Zhang, Shifei Ding, Xinzheng Xu, Han Zhao, Wanqiu Xing:
An Algorithm Research for Prediction of Extreme Learning Machines Based on Rough Sets. J. Comput. 8(5): 1335-1342 (2013) - [j7]Huajuan Huang, Shifei Ding, Hong Zhu, Xinzheng Xu:
Invasive Weed Optimization Algorithm for Optimizating the Parameters of Mixed Kernel Twin Support Vector Machines. J. Comput. 8(8): 2077-2084 (2013) - [j6]Shifei Ding, Yanan Zhang, Xinzheng Xu, Lina Bao:
A Novel Extreme Learning Machine Based on Hybrid Kernel Function. J. Comput. 8(8): 2110-2117 (2013) - [j5]Xinzheng Xu, Shifei Ding, Weikuan Jia, Gang Ma, Fengxiang Jin:
Research of assembling optimized classification algorithm by neural network based on Ordinary Least Squares (OLS). Neural Comput. Appl. 22(1): 187-193 (2013) - 2012
- [j4]Xinzheng Xu, Shifei Ding, Zhongzhi Shi, Hong Zhu:
Optimizing radial basis function neural network based on rough sets and affinity propagation clustering algorithm. J. Zhejiang Univ. Sci. C 13(2): 131-138 (2012) - 2011
- [j3]Shifei Ding, Xinzheng Xu, Hong Zhu, Jian Wang, Fengxiang Jin:
Studies on Optimization Algorithms for Some Artificial Neural Networks Based on Genetic Algorithm (GA). J. Comput. 6(5): 939-946 (2011) - [j2]Xinzheng Xu, Shifei Ding, Zhongzhi Shi, Hong Zhu, Zuopeng Zhao:
Particle Swarm Optimization for Automatic Parameters Determination of Pulse Coupled Neural Network. J. Comput. 6(8): 1546-1553 (2011) - 2009
- [j1]Shifei Ding, Yongping Zhang, Xiaofeng Lei, Xinzheng Xu, Xin Wang, Li Wang, Qing He:
Research on a principal components decision algorithm based on information entropy. J. Inf. Sci. 35(1): 120-127 (2009)
Conference and Workshop Papers
- 2024
- [c10]Meng Wei, Zhongnian Li, Yong Zhou, Xinzheng Xu:
Learning from Reduced Labels for Long-Tailed Data. ICMR 2024: 111-119 - [c9]Zhongnian Li, Peng Ying, Meng Wei, Tongfeng Sun, Xinzheng Xu:
Prompt Expending for Single Positive Multi-Label Learning with Global Unannotated Categories. ICMR 2024: 561-569 - [c8]Zhongnian Li, Meng Wei, Peng Ying, Tongfeng Sun, Xinzheng Xu:
Learning from Concealed Labels. ACM Multimedia 2024: 7220-7228 - 2016
- [c7]Bo Yang, Zuopeng Zhao, Xinzheng Xu:
Convolutional Neural Networks Optimized by Logistic Regression Model. Intelligent Information Processing 2016: 91-96 - 2015
- [c6]Xinzheng Xu, Xiaoming Cui, Guanying Wang, Tongfeng Sun, Hongguo Feng:
A New Method for Driver Fatigue Detection Based on Eye State. RSKT 2015: 513-524 - 2010
- [c5]Ru Nie, Xinzheng Xu, Jianhua Yue:
A novel quantum-inspired particle swarm algorithm and its application. ICNC 2010: 2556-2560 - [c4]Shifei Ding, Weikuan Jia, Xinzheng Xu, Hong Zhu:
Neural Networks Algorithm Based on Factor Analysis. ISNN (1) 2010: 319-324 - 2008
- [c3]Chunyang Su, Shifei Ding, Weikuan Jia, Xin Wang, Xinzheng Xu:
Some Progress of Supervised Learning. ICIC (2) 2008: 661-666 - [c2]Shifei Ding, Weikuan Jia, Chunyang Su, Xinzheng Xu, Liwen Zhang:
PCA-Based Elman Neural Network Algorithm. ISICA 2008: 315-321 - 2007
- [c1]Xinzheng Xu, Wenhua Zeng, Zuopeng Zhao:
A Structural Adapting Self-organizing Maps Neural Network. ISNN (2) 2007: 913-920
Informal and Other Publications
- 2024
- [i7]Meng Wei, Zhongnian Li, Yong Zhou, Xinzheng Xu:
Learning from Reduced Labels for Long-Tailed Data. CoRR abs/2403.16469 (2024) - [i6]Meng Wei, Zhongnian Li, Peng Ying, Yong Zhou, Xinzheng Xu:
Determined Multi-Label Learning via Similarity-Based Prompt. CoRR abs/2403.16482 (2024) - [i5]Zhongnian Li, Jinghao Xu, Peng Ying, Meng Wei, Tongfeng Sun, Xinzheng Xu:
Learning from True-False Labels via Multi-modal Prompt Retrieving. CoRR abs/2405.15228 (2024) - 2023
- [i4]Meng Wei, Zhongnian Li, Yong Zhou, Qiaoyu Guo, Xinzheng Xu:
Learning from Stochastic Labels. CoRR abs/2302.00299 (2023) - 2022
- [i3]Zhongnian Li, Liutao Yang, Zhongchen Ma, Tongfeng Sun, Xinzheng Xu, Daoqiang Zhang:
Learning from Positive and Unlabeled Data with Augmented Classes. CoRR abs/2207.13274 (2022) - [i2]Meng Wei, Yong Zhou, Zhongnian Li, Xinzheng Xu:
Class-Imbalanced Complementary-Label Learning via Weighted Loss. CoRR abs/2209.14189 (2022) - [i1]Zhongnian Li, Jian Zhang, Mengting Xu, Xinzheng Xu, Daoqiang Zhang:
Complementary Labels Learning with Augmented Classes. CoRR abs/2211.10701 (2022)
Coauthor Index
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