Xinzheng Xu - RankMe

75 papers A* 5A 3B 3Misc 1Journal 57Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Document-level relation extraction with entity type constraints. Neural Networks Ridong Han, Tao Peng, Beibei Zhu, Haijia Bi, Jiayu Han, Xinzheng Xu, Lu Liu
2026	A*	`conf`	Human-Corrected Labels Learning: Enhancing Labels Quality via Human Correction of VLMs Discrepancies. AAAI Zhongnian Li, Lan Chen, Yixin Xu, Shi Xu, Xinzheng Xu
2025	J	`jnl`	Adversarial domain adaptation with CLIP for few-shot image classification. Appl. Intell. Tongfeng Sun, Hongjian Yang, Zhongnian Li, Xinzheng Xu, Xiurui Wang
2025	A	`conf`	Determined Multi-Label Learning via Similarity-Based Prompt. ICME Meng Wei, Zhongnian Li, Peng Ying, Ridong Han, Tongfeng Sun, Xinzheng Xu
2025	A	`conf`	ESA: Example Sieve Approach for Multi-Positive and Unlabeled Learning. WSDM Zhongnian Li, Meng Wei, Peng Ying, Xinzheng Xu
2025	J	`jnl`	Human-Corrected Labels Learning: Enhancing Labels Quality via Human Correction of VLMs Discrepancies. CoRR Zhongnian Li, Lan Chen, Yixin Xu, Shi Xu, Xinzheng Xu
2025	A	`conf`	Learning from Stochastic Labels. ICME Meng Wei, Xinzheng Xu, Peng Ying, Renke Sun, Guanjun Wang, Zhongnian Li
2025	A*	`conf`	Learning from True-False Labels via Multi-modal Prompt Retrieving. ICML Zhongnian Li, Jinghao Xu, Peng Ying, Meng Wei, Xinzheng Xu
2025	J	`jnl`	Learning from Uncertain Similarity and Unlabeled Data. CoRR Meng Wei, Zhongnian Li, Peng Ying, Xinzheng Xu
2025	A*	`conf`	Reversible Privacy Preserving on Vision-Language Models via Adversarial Multimodal Key. ACM Multimedia Peng Ying, Zhongnian Li, Meng Wei, Xinzheng Xu
2025	B	`conf`	SDP-DETR: End-To-End Detection of Aircraft Skin Defects Via Dynamic Multi-Scale Aware Mechanism. IEEE Big Data Lifeng Wei, Chufan Pang, Xinzheng Xu
2025	A*	`conf`	Seeing the Undefined: Chain-of-Action for Generative Semantic Labels. ACM Multimedia Meng Wei, Zhongnian Li, Peng Ying, Xinzheng Xu
2025	J	`jnl`	Sparse-Guided Partial Dense for Cross-Modal Remote Sensing Image-Text Retrieval. IEEE Trans. Geosci. Remote. Sens. Zuopeng Zhao, Xiaoran Miao, Lei Liu, Xinzheng Xu, Ying Liu, Jianfeng Hu, Bingbing Min, Yumeng Gao, Kanyaphakphachsorn Pharksuwan
2024	J	`jnl`	CoA: Chain-of-Action for Generative Semantic Labels. CoRR Meng Wei, Zhongnian Li, Peng Ying, Xinzheng Xu
2024	J	`jnl`	Complementary Labels Learning with Augmented Classes. Knowl. Based Syst. Zhongnian Li, Mengting Xu, Xinzheng Xu, Daoqiang Zhang
2024	J	`jnl`	Determined Multi-Label Learning via Similarity-Based Prompt. CoRR Meng Wei, Zhongnian Li, Peng Ying, Yong Zhou, Xinzheng Xu
2024	J	`jnl`	ESA: Example Sieve Approach for Multi-Positive and Unlabeled Learning. CoRR Zhongnian Li, Meng Wei, Peng Ying, Xinzheng Xu
2024	A*	`conf`	Learning from Concealed Labels. ACM Multimedia Zhongnian Li, Meng Wei, Peng Ying, Tongfeng Sun, Xinzheng Xu
2024	J	`jnl`	Learning from Concealed Labels. CoRR Zhongnian Li, Meng Wei, Peng Ying, Tongfeng Sun, Xinzheng Xu
2024	B	`conf`	Learning from Reduced Labels for Long-Tailed Data. ICMR Meng Wei, Zhongnian Li, Yong Zhou, Xinzheng Xu
2024	J	`jnl`	Learning from Reduced Labels for Long-Tailed Data. CoRR Meng Wei, Zhongnian Li, Yong Zhou, Xinzheng Xu
2024	J	`jnl`	Learning from True-False Labels via Multi-modal Prompt Retrieving. CoRR Zhongnian Li, Jinghao Xu, Peng Ying, Meng Wei, Tongfeng Sun, Xinzheng Xu
2024	B	`conf`	Prompt Expending for Single Positive Multi-Label Learning with Global Unannotated Categories. ICMR Zhongnian Li, Peng Ying, Meng Wei, Tongfeng Sun, Xinzheng Xu
2023	J	`jnl`	Class-imbalanced complementary-label learning via weighted loss. Neural Networks Meng Wei, Yong Zhou, Zhongnian Li, Xinzheng Xu
2023	J	`jnl`	Human pose estimation model based on DiracNets and integral pose regression. Multim. Tools Appl. Xinzheng Xu, Yanyan Guo, Xin Wang
2023	J	`jnl`	Learning from Stochastic Labels. CoRR Meng Wei, Zhongnian Li, Yong Zhou, Qiaoyu Guo, Xinzheng Xu
2023	J	`jnl`	Learning from hybrid labels with partial labels via hybrid-grained contrast regularization. Appl. Soft Comput. Xinzheng Xu, Jian Zhang, Zhongnian Li
2023	J	`jnl`	TPN: Triple parts network for few-shot instance segmentation. Multim. Tools Appl. Haotian Wang, Shibin Zhou, Xinzheng Xu, Guopeng Zhang
2022	J	`jnl`	Class-Imbalanced Complementary-Label Learning via Weighted Loss. CoRR Meng Wei, Yong Zhou, Zhongnian Li, Xinzheng Xu
2022	J	`jnl`	Complementary Labels Learning with Augmented Classes. CoRR Zhongnian Li, Jian Zhang, Mengting Xu, Xinzheng Xu, Daoqiang Zhang
2022	J	`jnl`	Image Style Transfering Based on StarGAN and Class Encoder. Int. J. Softw. Informatics Xinzheng Xu, Jianying Chang, Shifei Ding
2022	J	`jnl`	Learning from Positive and Unlabeled Data with Augmented Classes. CoRR Zhongnian Li, Liutao Yang, Zhongchen Ma, Tongfeng Sun, Xinzheng Xu, Daoqiang Zhang
2021	J	`jnl`	An iterative stacked weighted auto-encoder. Soft Comput. Tongfeng Sun, Shifei Ding, Xinzheng Xu
2021	J	`jnl`	SE-DCGAN: a New Method of Semantic Image Restoration. Cogn. Comput. Fangyan Zhang, Xin Wang, Tongfeng Sun, Xinzheng Xu
2020	J	`jnl`	A Lightweight Object Detection Network for Real-Time Detection of Driver Handheld Call on Embedded Devices. Comput. Intell. Neurosci. Zuopeng Zhao, Zhongxin Zhang, Xinzheng Xu, Yi Xu, Hualin Yan, Lan Zhang
2020	J	`jnl`	An ensemble learning framework for convolutional neural network based on multiple classifiers. Soft Comput. Yanyan Guo, Xin Wang, Pengcheng Xiao, Xinzheng Xu
2020	J	`jnl`	Driver Distraction Detection Method Based on Continuous Head Pose Estimation. Comput. Intell. Neurosci. Zuopeng Zhao, Sili Xia, Xinzheng Xu, Lan Zhang, Hualin Yan, Yi Xu, Zhongxin Zhang
2020	J	`jnl`	Research on adaptive local feature enhancement in convolutional neural networks. IET Image Process. Tongfeng Sun, Changlong Shao, Hongmei Liao, Shifei Ding, Xinzheng Xu
2020	J	`jnl`	Sample selection-based hierarchical extreme learning machine. Neurocomputing Xinzheng Xu, Shan Li, Tianming Liang, Tongfeng Sun
2019	J	`jnl`	An effective asynchronous framework for small scale reinforcement learning problems. Appl. Intell. Shifei Ding, Xingyu Zhao, Xinzheng Xu, Tongfeng Sun, Weikuan Jia
2019	J	`jnl`	Multi-label learning method based on ML-RBF and laplacian ELM. Neurocomputing Xinzheng Xu, Dong Shan, Shan Li, Tongfeng Sun, Pengcheng Xiao, Jianping Fan
2019	J	`jnl`	Review of classical dimensionality reduction and sample selection methods for large-scale data processing. Neurocomputing Xinzheng Xu, Tianming Liang, Jiong Zhu, Dong Zheng, Tongfeng Sun
2018	J	`jnl`	An image response framework for no-reference image quality assessment. Comput. Electr. Eng. Tongfeng Sun, Shifei Ding, Xinzheng Xu
2018	J	`jnl`	Rank-Adaptive Non-Negative Matrix Factorization. Cogn. Comput. Dong Shan, Xinzheng Xu, Tianming Liang, Shifei Ding
2017	J	`jnl`	A new image classification method based on modified condensed nearest neighbor and convolutional neural networks. Pattern Recognit. Lett. Tianming Liang, Xinzheng Xu, Pengcheng Xiao
2017	J	`jnl`	Medical images segmentation based on improved three-dimensional pulse coupled neural network. Int. J. Wirel. Mob. Comput. Maxin Wang, Xinzheng Xu, Guanying Wang, Shifei Ding, Tongfeng Sun
2017	J	`jnl`	Pulse-coupled neural networks and parameter optimization methods. Neural Comput. Appl. Xinzheng Xu, Guanying Wang, Shifei Ding, Yuhu Cheng, Xuesong Wang
2017	J	`jnl`	Self-Adaptive PCNN Based on the ACO Algorithm and its Application on Medical Image Segmentation. Intell. Autom. Soft Comput. Xinzheng Xu, Tianming Liang, Guanying Wang, Maxin Wang, Xuesong Wang
2017	J	`jnl`	Unsupervised extreme learning machine with representational features. Int. J. Mach. Learn. Cybern. Shifei Ding, Nan Zhang, Jian Zhang, Xinzheng Xu, Zhongzhi Shi
2016	J	`jnl`	A wavelet extreme learning machine. Neural Comput. Appl. Shifei Ding, Jian Zhang, Xinzheng Xu, Yanan Zhang
2016	—	`conf`	Convolutional Neural Networks Optimized by Logistic Regression Model. IIP Bo Yang, Zuopeng Zhao, Xinzheng Xu
2016	J	`jnl`	Medical image registration based on self-adapting pulse-coupled neural networks and mutual information. Neural Comput. Appl. Guanying Wang, Xinzheng Xu, Xiangying Jiang, Shifei Ding
2016	J	`jnl`	Multimodal medical image fusion using PCNN optimized by the QPSO algorithm. Appl. Soft Comput. Xinzheng Xu, Dong Shan, Guanying Wang, Xiangying Jiang
2016	J	`jnl`	No-reference image quality assessment based on gradient histogram response. Comput. Electr. Eng. Tongfeng Sun, Shifei Ding, Wei Chen, Xinzheng Xu
2016	J	`jnl`	Self-adaptive Extreme Learning Machine Optimized by Rough Set Theory and Affinity Propagation Clustering. Cogn. Comput. Li Xu, Shifei Ding, Xinzheng Xu, Nan Zhang
2015	—	`conf`	A New Method for Driver Fatigue Detection Based on Eye State. RSKT Xinzheng Xu, Xiaoming Cui, Guanying Wang, Tongfeng Sun, Hongguo Feng
2015	J	`jnl`	A new method for constructing granular neural networks based on rule extraction and extreme learning machine. Pattern Recognit. Lett. Xinzheng Xu, Guanying Wang, Shifei Ding, Xiangying Jiang, Zuopeng Zhao
2015	J	`jnl`	An adaptive extreme learning machine algorithm and its application on face recognition. Int. J. Comput. Sci. Math. Jian Ni, Xinzheng Xu, Shifei Ding, Tongfeng Sun
2015	J	`jnl`	Extreme learning machine: algorithm, theory and applications. Artif. Intell. Rev. Shifei Ding, Han Zhao, Yanan Zhang, Xinzheng Xu, Ru Nie
2014	J	`jnl`	Extreme learning machine and its applications. Neural Comput. Appl. Shifei Ding, Xinzheng Xu, Ru Nie
2014	J	`jnl`	The latest research progress on spectral clustering. Neural Comput. Appl. Hongjie Jia, Shifei Ding, Xinzheng Xu, Ru Nie
2013	J	`jnl`	A Novel Extreme Learning Machine Based on Hybrid Kernel Function. J. Comput. Shifei Ding, Yanan Zhang, Xinzheng Xu, Lina Bao
2013	J	`jnl`	A parallel attribute reduction algorithm based on Affinity Propagation clustering. J. Comput. Hong Zhu, Shifei Ding, Xinzheng Xu, Li Xu
2013	J	`jnl`	An Algorithm Research for Prediction of Extreme Learning Machines Based on Rough Sets. J. Comput. Yanan Zhang, Shifei Ding, Xinzheng Xu, Han Zhao, Wanqiu Xing
2013	J	`jnl`	Invasive Weed Optimization Algorithm for Optimizating the Parameters of Mixed Kernel Twin Support Vector Machines. J. Comput. Huajuan Huang, Shifei Ding, Hong Zhu, Xinzheng Xu
2013	J	`jnl`	Research of assembling optimized classification algorithm by neural network based on Ordinary Least Squares (OLS). Neural Comput. Appl. Xinzheng Xu, Shifei Ding, Weikuan Jia, Gang Ma, Fengxiang Jin
2012	J	`jnl`	Optimizing radial basis function neural network based on rough sets and affinity propagation clustering algorithm. J. Zhejiang Univ. Sci. C Xinzheng Xu, Shifei Ding, Zhongzhi Shi, Hong Zhu
2011	J	`jnl`	Particle Swarm Optimization for Automatic Parameters Determination of Pulse Coupled Neural Network. J. Comput. Xinzheng Xu, Shifei Ding, Zhongzhi Shi, Hong Zhu, Zuopeng Zhao
2011	J	`jnl`	Studies on Optimization Algorithms for Some Artificial Neural Networks Based on Genetic Algorithm (GA). J. Comput. Shifei Ding, Xinzheng Xu, Hong Zhu, Jian Wang, Fengxiang Jin
2010	Misc	`conf`	A novel quantum-inspired particle swarm algorithm and its application. ICNC Ru Nie, Xinzheng Xu, Jianhua Yue
2010	—	`conf`	Neural Networks Algorithm Based on Factor Analysis. ISNN (1) Shifei Ding, Weikuan Jia, Xinzheng Xu, Hong Zhu
2009	J	`jnl`	Research on a principal components decision algorithm based on information entropy. J. Inf. Sci. Shifei Ding, Yongping Zhang, Xiaofeng Lei, Xinzheng Xu, Xin Wang, Li Wang, Qing He
2008	—	`conf`	PCA-Based Elman Neural Network Algorithm. ISICA Shifei Ding, Weikuan Jia, Chunyang Su, Xinzheng Xu, Liwen Zhang
2008	—	`conf`	Some Progress of Supervised Learning. ICIC (2) Chunyang Su, Shifei Ding, Weikuan Jia, Xin Wang, Xinzheng Xu
2007	—	`conf`	A Structural Adapting Self-organizing Maps Neural Network. ISNN (2) Xinzheng Xu, Wenhua Zeng, Zuopeng Zhao