Yingxu Wang

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 87

Top Venues

ICCI*CC

Int. J. Cogn. Informatics Nat. Intell.

SMC

IEEE ICCI*CC

Southampton Solent University, UK (PHD)

Education History

Southampton Solent University, UK

PHD

Publications

Xiaoling Wu, Yu-Feng Yu, Long Chen, Weiping Ding, Yingxu Wang
Robust deep fuzzy K-means clustering for image data. Pattern Recognit. 153 (2024)
Xiaoru Chen, Yingxu Wang, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang
Heterogeneous Graph Contrastive Learning With Metapath-Based Augmentations. IEEE Trans. Emerg. Top. Comput. Intell. 8 (1) (2024)
Tianjun Yao, Yingxu Wang, Kun Zhang, Shangsong Liang
Improving the Expressiveness of K-hop Message-Passing GNNs by Injecting Contextualized Substructure Information. KDD (2023)
Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu
CL4CTR: A Contrastive Learning Framework for CTR Prediction. WSDM (2023)
Chen Zhang, Weidong Zhou, Jin Zhou, Yingxu Wang, Shiyuan Han, Tao Du, Cheng Yang, Bowen Liu
Deep Multi-view Clustering Based on Graph Embedding. ICIC (1) (2023)
Yujie Wei, Weidong Zhou, Jin Zhou, Yingxu Wang, Shiyuan Han, Tao Du, Cheng Yang, Bowen Liu
Graph-Based Short Text Clustering via Contrastive Learning with Graph Embedding. ICIC (1) (2023)
Yingxu Wang, Xiaoru Chen, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang
Enhancing Conversational Recommendation Systems with Representation Fusion. ACM Trans. Web 17 (1) (2023)
Fangye Wang, Yingxu Wang, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Li Shang, Ning Gu
A Comprehensive Summarization and Evaluation of Feature Refinement Modules for CTR Prediction. CoRR (2023)
Xuehao Chen, Weidong Zhou, Jin Zhou, Yingxu Wang, Shiyuan Han, Tao Du, Cheng Yang, Bowen Liu
BYOL Network Based Contrastive Clustering. ICIC (1) (2023)
Yang Zhang, Yu-Feng Yu, Ke-Kun Huang, Yingxu Wang
Channel Attentional Correlation Filters Learning With Second-Order Difference for UAV Tracking. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Yingxu Wang
On Intelligent Mathematics underpinning Contemporary Abstract Sciences and Autonomous AI. ICCI*CC (2022)
Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu
CL4CTR: A Contrastive Learning Framework for CTR Prediction. CoRR (2022)
Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu
Enhancing CTR Prediction with Context-Aware Feature Representation Learning. CoRR (2022)
Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu
Enhancing CTR Prediction with Context-Aware Feature Representation Learning. SIGIR (2022)
Yingxu Wang, Tianjun Li, Long Chen, Yufeng Yu, Yin-Ping Zhao, Jin Zhou
Tensor-Based Robust Principal Component Analysis With Locality Preserving Graph and Frontal Slice Sparsity for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Bozhan Dang, Yingxu Wang, Jin Zhou, Rongrong Wang, Long Chen, C. L. Philip Chen, Tong Zhang, Shiyuan Han, Lin Wang, Yuehui Chen
Transfer Collaborative Fuzzy Clustering in Distributed Peer-to-Peer Networks. IEEE Trans. Fuzzy Syst. 30 (2) (2022)
Yingxu Wang
On the Cognitive Foundations of Autonomous Systems and General AI. ICCI*CC (2021)
Yingxu Wang, Fakhri Karray, Sam Kwong, Konstantinos N. Plataniotis, Henry Leung, Ming Hou, Edward W. Tunstel, Imre J. Rudas, Ljiljana Trajkovic, Okyay Kaynak, Janusz Kacprzyk, Mengchu Zhou, Michael H. Smith, Philip Chen, Shushma Patel
On the Philosophical, Cognitive and Mathematical Foundations of Symbiotic Autonomous Systems (SAS). CoRR (2021)
Mohammad Salimibeni, Zohreh Hajiakhondi-Meybodi, Arash Mohammadi, Yingxu Wang
TB-ICT: A Trustworthy Blockchain-Enabled System for Indoor COVID-19 Contact Tracing. CoRR (2021)
Yingxu Wang, Newton Howard, Ming Hou
A Neuroinformatics Theory for Cognitive Neurorehabilitation. SMC (2021)
Arash Mohammadi, Yingxu Wang, Nastaran Enshaei, Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Moezedin Javad Rafiee, Helder Rodrigues de Oliveira, Svetlana N. Yanushkevich, Konstantinos N. Plataniotis
Diagnosis/Prognosis of COVID-19 Chest Images via Machine Learning and Hypersignal Processing: Challenges, opportunities, and applications. IEEE Signal Process. Mag. 38 (5) (2021)
Yingxu Wang, Tianjun Li, Long Chen, Guangmei Xu, Jin Zhou, C. L. Philip Chen
Random Fourier feature-based fuzzy clustering with p-Laplacian regularization. Appl. Soft Comput. 111 (2021)
Yingxu Wang, James Y. Xu
Autonomous Software Requirement Specifications towards AI Programming. ICCI*CC (2021)
Yingxu Wang
On the Emergence of Autonomous Systems towards Deep Thinking Machines and General AI Driven by Abstract Intelligence Theories and Intelligent Mathematics. ICCI*CC (2021)
Yingxu Wang, Ming Hou, Konstantinos N. Plataniotis, Sam Kwong, Henry Leung, Edward W. Tunstel, Imre J. Rudas, Ljiljana Trajkovic
Towards a theoretical framework of autonomous systems underpinned by intelligence and systems sciences. IEEE CAA J. Autom. Sinica 8 (1) (2021)
Yuhua Li, Zhihui Luo, Fengjie Wang, Yingxu Wang
Hyperspectral Leaf Image-Based Cucumber Disease Recognition Using the Extended Collaborative Representation Model. Sensors 20 (14) (2020)
Yingxu Wang
A Rigorous Cognitive Theory for Autonomous Decision Making. SMC (2020)
James Y. Xu, Connor Branch, Yingxu Wang
A Methodology and Experiments towards Autonomous Decision Making. SMC (2020)
Jiyuan Song, Aibin Zhu, Yao Tu, Yingxu Wang, Muhammad Affan Arif, Huang Shen, Zhitao Shen, Xiaodong Zhang, Guang-Zhong Cao
Human Body Mixed Motion Pattern Recognition Method Based on Multi-Source Feature Parameter Fusion. Sensors 20 (2) (2020)
Yingxu Wang
Intelligent Mathematics (IM): Indispensable Mathematical Means for General AI, Autonomous Systems, Deep Knowledge Learning, Cognitive Robots, and Intelligence Science. IEEE ICCI*CC (2020)
Yingxu Wang, Kostas N. Plataniotis, Jane Z. Wang, Ming Hou, MengChu Zhou, Newton Howard, Jun Peng, Runhe Huang, Shushma Patel, Du Zhang
The Cognitive and Mathematical Foundations of Analytic Epidemiology. IEEE ICCI*CC (2020)
James Y. Xu, Yingxu Wang
Formal Software Requirement Elicitation based on Semantic Algebra and Cognitive Computing. IEEE ICCI*CC (2020)
Arash Mohammadi, Yingxu Wang, Nastaran Enshaei, Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Moezedin Javad Rafiee, Helder Cesar Rodigues de Oliveira, Svetlana N. Yanushkevich, Konstantinos N. Plataniotis
Diagnosis/Prognosis of COVID-19 Images: Challenges, Opportunities, and Applications. CoRR (2020)
Yuhua Li, Fengjie Wang, Ye Sun, Yingxu Wang
Graph Constraint and Collaborative Representation Classifier Steered Discriminative Projection with Applications for the Early Identification of Cucumber Diseases. Sensors 20 (4) (2020)
Junjie Bai, Jiajie Li, Jun Peng, Kan Luo, Shuai Gao, Jianfeng Cai, Yingxu Wang
A Cognitive Model of the Tactile Vibration Sense and Experiments on a Touch Simulation System. IEEE ICCI*CC (2020)
Yingxu Wang, Svetlana N. Yanushkevich, Ming Hou, Konstantinos N. Plataniotis, Mark Coates, Marina L. Gavrilova, Yaoping Hu, Fakhri Karray, Henry Leung, Arash Mohammadi, Sam Kwong, Edward W. Tunstel, Ljiljana Trajkovic, Imre J. Rudas, Janusz Kacprzyk
A Tripartite Theory of Trustworthiness for Autonomous Systems. SMC (2020)
Yingxu Wang, Konstantinos N. Plataniotis, Sam Kwong, Henry Leung, Svetlana N. Yanushkevich, Fakhri Karray, Ming Hou, Newton Howard, Rodolfo A. Fiorini, Paolo Soda, Edward W. Tunstel, Jianmin Wang, Shushma Patel
On Autonomous Systems: From Reflexive, Imperative and Adaptive Intelligence to Autonomous and Cognitive Intelligence. ICCI*CC (2019)
Yingxu Wang, Aibin Zhu, Hongling Wu, Pengcheng Zhu, Xiaodong Zhang, Guang-Zhong Cao
. UR (2019)
Yingxu Wang, Tony Cai, Omar A. Zatarain
Objects Detection and Recognition in Videos for Sequence Learning. ICCI*CC (2019)
Nagaraju Devarakonda, Sarvani Anandarao, Raviteja Kamarajugadda, Yingxu Wang
Unique Dragonfly Optimization Algorithm for Harvesting and Clustering the Key Features. ICCI*CC (2019)
Yingxu Wang, James Y. Xu
RTPA-based Software Generation by AI Programming. ICCI*CC (2019)
Yingxu Wang, Omar A. Zatarain, Tony Tsai, Daniel Graves
Sequence Learning for Images Recognition in Videos with Differential Neural Networks. ICCI*CC (2019)
Pengcheng Zhu, Aibin Zhu, Qichen Zhang, Yingxu Wang, Xiaodong Zhang, Guang-Zhong Cao
Design of Gibbon-Like Crawling Robot for High Voltage Transmission Line Inspection. UR (2019)
Yingxu Wang, Jiwen Dong, Jin Zhou, Guangmei Xu, Yuehui Chen
Random Feature Map-Based Multiple Kernel Fuzzy Clustering with All Feature Weights. Int. J. Fuzzy Syst. 21 (7) (2019)
Yingxu Wang, Jin Jiu, Liu Lin
A Neural Circuit Theory for Neuroinformatics and Brain-Machine Interactions. SMC (2019)
Ying Huang, Yingxu Wang, Omar A. Zatarain
Dynamic Path Optimization for Robot Route Planning. ICCI*CC (2019)
Yingxu Wang
On the Emergence of Abstract Sciences and Breakthroughs in Machine Knowledge Learning. ICCI*CC (2019)
Yingxu Wang, Newton Howard
The Spike Frequency Modulation (SFM) Theory for Neuroinformatics and Cognitive Cybernetics. SMC (2019)
Bozhan Dang, Jin Zhou, Yingxu Wang, Guangmei Xu, Dong Wang, Lin Wang, Shi-Yuan Han, Yuehui Chen
Transfer Learning for Entropy-Weighted Fuzzy Clustering. SPAC (2018)
Yingxu Wang, Jianhua Lu, Marina L. Gavrilova, Rodolfo A. Fiorini, Janusz Kacprzyk
Brain-Inspired Systems (BIS): Cognitive Foundations and Applications. SMC (2018)
Mehrdad Valipour, Yingxu Wang
Sentence Comprehension and Semantic Syntheses by Cognitive Machine Learning. ICCI*CC (2018)
Yingxu Wang, Newton Howard, Janusz Kacprzyk, Ophir Frieder, Phillip C.-Y. Sheu, Rodolfo A. Fiorini, Marina L. Gavrilova, Shushma Patel, Jun Peng, Bernard Widrow
Cognitive Informatics: Towards Cognitive Machine Learning and Autonomous Knowledge Manipulation. Int. J. Cogn. Informatics Nat. Intell. 12 (1) (2018)
James Y. Xu, Yingxu Wang
Towards a Methodology for RTPA-MATLAB Code Generation Based on Machine Learning Rules. ICCI*CC (2018)
Jin Zhou, Long Chen, C. L. Philip Chen, Yingxu Wang, Han-Xiong Li
Uncertain Data Clustering in Distributed Peer-to-Peer Networks. IEEE Trans. Neural Networks Learn. Syst. 29 (6) (2018)
Marina L. Gavrilova, Yingxu Wang, Faisal Ahmed, Padma Polash Paul
Kinect Sensor Gesture and Activity Recognition: New Applications for Consumer Cognitive Systems. IEEE Consumer Electron. Mag. 7 (1) (2018)
Ying Huang, Yingxu Wang, Yiwang Huang
Filtering Out Infrequent Events by Expectation from Business Process Event Logs. CIS (2018)
Mehrdad Valipour, Yingxu Wang
A Cognitive Machine Learning System for Phrases Composition and Semantic Comprehension. SMC (2018)
Yingxu Wang, Victor Raskin, Julia Rayz, George Baciu, Aladdin Ayesh, Fumio Mizoguchi, Shusaku Tsumoto, Dilip Patel, Newton Howard
Cognitive Computing: Methodologies for Neural Computing and Semantic Computing in Brain-Inspired Systems. Int. J. Softw. Sci. Comput. Intell. 10 (1) (2018)
Guangmei Xu, Jiwen Dong, Jin Zhou, Yingxu Wang, Bozhan Dang, Dong Wang, Lin Wang, Shi-Yuan Han
An improved fuzzy c-means clustering algorithm with guided filter for Image Segmentation. SPAC (2018)
Yingxu Wang
Cognitive Foundations and Formal Theories of Human and Robot Visions. ICCI*CC (2018)
Yingxu Wang, Henry Leung, Marina L. Gavrilova, Omar A. Zatarain, Daniel Graves, Jianhua Lu, Newton Howard, Sam Kwong, Phillip C.-Y. Sheu, Shushma Patel
A Survey and Formal Analyses on Sequence Learning Methodologies and Deep Neural Networks. ICCI*CC (2018)
Yingxu Wang, Omar A. Zatarain
Design and Implementation of a Knowledge Base for Machine Knowledge Learning. ICCI*CC (2018)
Yingxu Wang, Jiwen Dong, Jin Zhou, Lin Wang, Shi-Yuan Han, Tong Zhang, C. L. Philip Chen
Spectral clustering based on JS-divergence for uncertain data. SMC (2017)
Yingxu Wang, Omar A. Zatarain, Mehrdad Valipour
Building cognitive knowledge bases sharable by humans and cognitive robots. SMC (2017)
Yingxu Wang
On the Cognitive and Theoretical Foundations of Big Data Science and Engineering. New Math. Nat. Comput. 13 (2) (2017)
Yingxu Wang, Mehrdad Valipour, Omar A. Zatarain, Marina L. Gavrilova, Amir Hussain, Newton Howard, Shushma Patel
Formal Ontology Generation by deep machine learning. IEEE ICCI*CC (2017)
Yingxu Wang, Lotfi A. Zadeh, Bernard Widrow, Newton Howard, Françoise Beaufays, George Baciu, D. Frank Hsu, Guiming Luo, Fumio Mizoguchi, Shushma Patel, Victor Raskin, Shusaku Tsumoto, Wei Wei, Du Zhang
Abstract Intelligence: Embodying and Enabling Cognitive Systems by Mathematical Engineering. Int. J. Cogn. Informatics Nat. Intell. 11 (1) (2017)
Omar A. Zatarain, Yingxu Wang
Formal concept refinement by deep cognitive machine learning. IEEE ICCI*CC (2017)
Mehrdad Valipour, Yingxu Wang
Building semantic hierarchies of formal concepts by deep cognitive machine learning. IEEE ICCI*CC (2017)
Yingxu Wang, Jun Peng
Big Data Analytics: A Cognitive Perspectives. Int. J. Cogn. Informatics Nat. Intell. 11 (2) (2017)
Junjie Bai, Kan Luo, Jun Peng, Jinliang Shi, Ying Wu, Lixiao Feng, Jianqing Li, Yingxu Wang
Music emotions recognition by cognitive classification methodologies. IEEE ICCI*CC (2017)
Junjie Bai, Kan Luo, Jun Peng, Jinliang Shi, Ying Wu, Lixiao Feng, Jianqing Li, Yingxu Wang
Music Emotions Recognition by Machine Learning With Cognitive Classification Methodologies. Int. J. Cogn. Informatics Nat. Intell. 11 (4) (2017)
Yingxu Wang
Formal rules for concept and semantics manipulations in cognitive linguistics and machine learning. IEEE ICCI*CC (2017)
Yingxu Wang, Omar A. Zatarain
A Novel Machine Learning Algorithm for Cognitive Concept Elicitation by Cognitive Robots. Int. J. Cogn. Informatics Nat. Intell. 11 (3) (2017)
Yingxu Wang
A hierarchical theory of system topology and distributed functional fusions. SMC (2017)
Yingxu Wang
Cognitive foundations of knowledge science and deep knowledge learning by cognitive robots. IEEE ICCI*CC (2017)
Omar A. Zatarain, Yingxu Wang
Experiments on the supervised learning algorithm for formal concept elicitation by cognitive robots. ICCI*CC (2016)
Yingxu Wang
Deep reasoning and thinking beyond deep learning by cognitive robots and brain-inspired systems. ICCI*CC (2016)
Yingxu Wang, Bernard Widrow, Lotfi A. Zadeh, Newton Howard, Sally L. Wood, Virendrakumar C. Bhavsar, Gerhard Budin, Christine W. Chan, Rodolfo A. Fiorini, Marina L. Gavrilova, Duane F. Shell
Cognitive Intelligence: Deep Learning, Thinking, and Reasoning by Brain-Inspired Systems. Int. J. Cogn. Informatics Nat. Intell. 10 (4) (2016)
Yingxu Wang
On cognitive foundations of big data science and engineering. ICCI*CC (2016)
Yingxu Wang
On Cognitive Foundations and Mathematical Theories of Knowledge Science. Int. J. Cogn. Informatics Nat. Intell. 10 (2) (2016)
Yingxu Wang
From computing with words (CWW) to reasoning with fuzzy concepts (RFC). NAFIPS (2016)
Junjie Bai, Lixiao Feng, Jun Peng, Jinliang Shi, Kan Luo, Zuojin Li, Lu Liao, Yingxu Wang
Dimensional Music Emotion Recognition by Machine Learning. Int. J. Cogn. Informatics Nat. Intell. 10 (4) (2016)
Yingxu Wang, Rouhollah Jafari, Guoming (George) Zhu, Ranjan Mukherjee
Sample-and-Hold Inputs for Minimum-Phase Behavior of Nonminimum-Phase Systems. IEEE Trans. Control. Syst. Technol. 24 (6) (2016)
Mehrdad Valipour, Yingxu Wang, Omar A. Zatarain, Marina L. Gavrilova
Algorithms for determining semantic relations of formal concepts by cognitive machine learning based on concept algebra. ICCI*CC (2016)
Yingxu Wang, Mehrdad Valipour, Omar A. Zatarain
Quantitative Semantic Analysis and Comprehension by Cognitive Machine Learning. Int. J. Cogn. Informatics Nat. Intell. 10 (3) (2016)
Yingxu Wang, Omar A. Zatarain, Mehrdad Valipour
Formal description of a supervised learning algorithm for concept elicitation by cognitive robots. ICCI*CC (2016)
Yingxu Wang, Edmund T. Rolls, Newton Howard, Victor Raskin, Witold Kinsner, Fionn Murtagh, Virendrakumar C. Bhavsar, Shushma Patel, Dilip Patel, Duane F. Shell
Cognitive Informatics and Computational Intelligence: From Information Revolution to Intelligence Revolution. Int. J. Softw. Sci. Comput. Intell. 7 (2) (2015)
Yingxu Wang
On the Mathematical Theories and Cognitive Foundations of Information. Int. J. Cogn. Informatics Nat. Intell. 9 (3) (2015)
Yingxu Wang
Cognitive Learning Methodologies for Brain-Inspired Cognitive Robotics. Int. J. Cogn. Informatics Nat. Intell. 9 (2) (2015)
Jose-Antonio Cervantes, Félix Ramos, Yingxu Wang
A formal model inspired on human decision-making process. ICCI*CC (2015)
Mehrdad Valipour, Yingxu Wang
Formal properties and rules of concept algebra. ICCI*CC (2015)
Yingxu Wang
Towards a fuzzy logical algebra (FLA) for formal inferences in cognitive computing and cognitive robotics. ICCI*CC (2015)
Xiaoyu Lin, Yiwen Zhong, Yingxu Wang
Fine-grained Differential Harmony Search algorithm. ICCI*CC (2015)
Sonia López, Jose-Antonio Cervantes, Félix Ramos, Yingxu Wang
A cognitive model of motor planning for virtual creatures. ICCI*CC (2015)
Yingxu Wang
On the Incremental Union of Relations: A Key Property of General Systems Explained. Int. J. Softw. Sci. Comput. Intell. 7 (1) (2015)
Yingxu Wang
Cognitive robotics and mathematical engineering. ICCI*CC (2015)
Yingxu Wang
On a Novel Cognitive Knowledge Base (CKB) for Cognitive Robots and Machine Learning. Int. J. Softw. Sci. Comput. Intell. 6 (2) (2014)
Yingxu Wang, Victor J. Wiebe
Big Data Analytics on the Characteristic Equilibrium of Collective Opinions in Social Networks. Int. J. Cogn. Informatics Nat. Intell. 8 (3) (2014)
Xiaoyu Lin, Yingxu Wang
Simulation and Visualization of Concept Algebra in MATLAB. Int. J. Softw. Sci. Comput. Intell. 6 (1) (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yingxu Wang