Yong Shi 0001 - researchr alias

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Viewing Publication 1 - 58 from 58

2025

A universal network strategy for lightspeed computation of entropy-regularized optimal transportYong Shi 0001, Lei Zheng, Pei Quan, Yang Xiao 0017, Lingfeng Niu. NN, 184:107038, 2025. [doi]

ExGAT: Context extended graph attention neural networkPei Quan, Lei Zheng, Wen Zhang 0001, Yang Xiao 0017, Lingfeng Niu, Yong Shi 0001. NN, 181:106784, 2025. [doi]

2024

Sparse optimization guided pruning for neural networksYong Shi 0001, Anda Tang, Lingfeng Niu, Ruizhi Zhou. ijon, 574:127280, March 2024. [doi]

How China Deals with COVID-19 PandemicYong Shi 0001, Yi Qu, Linzi Zhang. ijitdm, 23(1):17-35, January 2024. [doi]

Integrated GCN-LSTM stock prices movement prediction based on knowledge-incorporated graphs constructionYong Shi 0001, Yunong Wang, Yi Qu, Zhensong Chen 0001. mlc, 15(1):161-176, January 2024. [doi]

Improved credit risk prediction based on an integrated graph representation learning approach with graph transformationYong Shi 0001, Yi Qu, Zhensong Chen 0001, Yunlong Mi, Yunong Wang. eor, 315(2):786-801, 2024. [doi]

Wasserstein distance regularized graph neural networksYong Shi 0001, Lei Zheng, Pei Quan, Lingfeng Niu. isci, 670:120608, 2024. [doi]

A Bibliometric Overview and Visualization of the International Journal of Information Technology and Decision Making Between 2012 and 2022Huchang Liao, Xiaowan Jin, Yong Shi 0001, Gang Kou. ijitdm, 23(1):171-195, January 2024. [doi]

A Text Mining Approach to Covid-19 LiteratureFangyao Liu, Daji Ergu, Biao Li, Wei Deng, Zhengxin Chen, Guoqing Lu, Yong Shi 0001. ijitdm, 23(4):1427-1448, July 2024. [doi]

A semi-supervised concept-cognitive computing system for dynamic classification decision making with limited feedback informationYunlong Mi, Zongrun Wang, Pei Quan, Yong Shi 0001. eor, 315(3):1123-1138, 2024. [doi]

Explicit unsupervised feature selection based on structured graph and locally linear embeddingJianyu Miao, Jingjing Zhao, Tiejun Yang, Chao Fan, Yingjie Tian 0001, Yong Shi 0001, Mingliang Xu. eswa, 255:124568, 2024. [doi]

Black-box attacks on dynamic graphs via adversarial topology perturbationsHaicheng Tao, Jie Cao 0001, Lei Chen, Hong-liang Sun, Yong Shi 0001, Xingquan Zhu 0001. NN, 171:308-319, 2024. [doi]

Guest Editors' Introduction for the Special Issue on The Role of Decision Making to Overcome COVID-19James M. Tien, Yong Shi 0001, Jianping Li 0001. ijitdm, 23(1):1-4, January 2024. [doi]

2023

Editor's IntroductionYong Shi 0001. ijitdm, 22(1):1-5, January 2023. [doi]

Intelligent layout generation based on deep generative models: A comprehensive surveyYong Shi 0001, Mengyu Shang, Zhiquan Qi. inffus, 100:101940, December 2023. [doi]

Editor's IntroductionYong Shi 0001. ijitdm, 22(4):1165-1168, July 2023. [doi]

Editor's IntroductionYong Shi 0001. ijitdm, 22(5):1529-1531, September 2023. [doi]

Graph Influence NetworkYong Shi 0001, Pei Quan, Yang Xiao, Minglong Lei, Lingfeng Niu. tcyb, 53(10):6146-6159, October 2023. [doi]

Federated learning with ℓ1 regularizationYong Shi 0001, Yuanying Zhang, Peng Zhang 0001, Yang Xiao, Lingfeng Niu. prl, 172:15-21, August 2023. [doi]

GAN-CL: Generative Adversarial Networks for Learning From Complementary LabelsJiabin Liu, Hanyuan Hang, Bo Wang 0049, Biao Li, Huadong Wang, Yingjie Tian, Yong Shi 0001. tcyb, 53(1):236-247, 2023. [doi]

LLP-GAN: A GAN-Based Algorithm for Learning From Label ProportionsJiabin Liu, Bo Wang 0049, Hanyuan Hang, Huadong Wang, Zhiquan Qi, Yingjie Tian 0001, Yong Shi 0001. tnn, 34(11):8377-8388, November 2023. [doi]

Sparse and semi-attention guided faults diagnosis approach for distributed online servicesLinzi Zhang, Yong Shi 0001. asc, 148:110911, November 2023. [doi]

Trade credit or credit insurance? A green supply chain finance design scheme with multi-objective programmingLinzi Zhang, Yong Shi 0001. jifs, 45(2):2707-2721, 2023. [doi]

Alternating Minimization-Based Sparse Least-Squares Classifier for Accuracy and Interpretability Improvement of Credit Risk AssessmentZhiwang Zhang, Jing He 0004, Hui Zheng, Jie Cao 0001, Gang Wang, Yong Shi 0001. ijitdm, 22(1):537-567, January 2023. [doi]

2022

A Conditional Deep Framework for Automatic Layout GenerationYong Shi 0001, Mengyu Shang, Zhiquan Qi. access, 10:86092-86100, 2022. [doi]

Fault Detection in Nuclear Power Plants using Deep Leaning based Image Classification with Imaged Time-series DataYong Shi 0001, Xiaodong Xue, Jiayu Xue, Yi Qu. ijccc, 17(1), 2022. [doi]

Optimization Strategies for Client Drift in Federated Learning: A reviewYong Shi 0001, Yuanying Zhang, Yang Xiao, Lingfeng Niu. itqm 2022: 1168-1173 [doi]

Relationship between Herd Behavior and Chinese Stock Market Fluctuations during a Bullish Period Based on Complex NetworksYong Shi 0001, Yuanchun Zheng, Kun Guo, Xinyue Ren. ijitdm, 21(1):405-421, 2022. [doi]

DigGCN: Learning Compact Graph Convolutional Networks via Diffusion AggregationMinglong Lei, Pei Quan, Rongrong Ma, Yong Shi 0001, Lingfeng Niu. tcyb, 52(2):912-924, 2022. [doi]

Optimal Estimation of Low-Rank Factors via Feature Level Data Fusion of Multiplex Signal SystemsHui-Jia Li, Zhen Wang 0004, Jie Cao 0001, Jian Pei, Yong Shi 0001. tkde, 34(6):2860-2871, 2022. [doi]

Measuring the Network Vulnerability Based on Markov CriticalityHui-Jia Li, Lin Wang, Zhan Bu, Jie Cao 0001, Yong Shi 0001. tkdd, 16(2), 2022. [doi]

SELF-LLP: Self-supervised learning from label proportions with self-ensembleJiabin Liu, Zhiquan Qi, Bo Wang 0049, Yingjie Tian, Yong Shi 0001. PR, 129:108767, 2022. [doi]

Self-supervised knowledge distillation for complementary label learningJiabin Liu, Biao Li, Minglong Lei, Yong Shi 0001. NN, 155:318-327, 2022. [doi]

A dynamic key node learning algorithm in evolving financial network: case study during the period of coronavirusDoudou Lu, Wei Deng, Yongyin Xu, Yong Shi 0001. itqm 2022: 1587-1594 [doi]

Concept-cognitive computing system for dynamic classificationYunlong Mi, Pei Quan, Yong Shi 0001, Zongrun Wang. eor, 301(1):287-299, 2022. [doi]

Fuzzy-Based Concept Learning Method: Exploiting Data With Fuzzy Conceptual ClusteringYunlong Mi, Yong Shi 0001, Jinhai Li, Wenqi Liu, Mengyu Yan. tcyb, 52(1):582-593, 2022. [doi]

Semi-Supervised Concept Learning by Concept-Cognitive Learning and Concept SpaceYunlong Mi, Wenqi Liu, Yong Shi 0001, Jinhai Li. tkde, 34(5):2429-2442, 2022. [doi]

Graph regularized locally linear embedding for unsupervised feature selectionJianyu Miao, Tiejun Yang, Lijun Sun, Xuan Fei, Lingfeng Niu, Yong Shi 0001. PR, 122:108299, 2022. [doi]

Towards Compact Broad Learning System by Combined Sparse RegularizationJianyu Miao, Tiejun Yang, Jun-Wei Jin, Lijun Sun, Lingfeng Niu, Yong Shi 0001. ijitdm, 21(1):169-194, 2022. [doi]

Sparse Learning for Neural Networks with A Generalized Sparse RegularizationAnda Tang, Tongsheng Yao, Lingfeng Niu, Yong Shi 0001. itqm 2022: 747-754 [doi]

Learning deep feature correspondence for unsupervised anomaly detection and segmentationJie Yang, Yong Shi 0001, Zhiquan Qi. PR, 132:108874, 2022. [doi]

An explainable multi-sparsity multi-kernel nonconvex optimization least-squares classifier method via ADMMZhiwang Zhang, Jing He 0004, Jie Cao 0001, Shuqing Li, Xingsen Li, Kai Zhang, Pingjiang Wang, Yong Shi 0001. nca, 34(18):16103-16128, 2022. [doi]

2021

The neural network methods for solving Traveling Salesman ProblemYong Shi 0001, Yuanying Zhang. itqm 2022: 681-686 [doi]

Research on the Rules of Scientists' Knowledge Sharing based on Interdisciplinary MeasurementYong Shi 0001, Yunong Wang. itqm 2022: 657-664 [doi]

Machine Learning and Deep Learning Methods used in Safety Management of Nuclear Power Plants: A SurveyYong Shi 0001, Xiaodong Xue, Yi Qu, Jiayu Xue, Linzi Zhang. incdm 2021: 917-924 [doi]

A knowledge graph constructed for job-related crimesYong Shi 0001, Wenlu An, Jiayu Xue, Yi Qu. itqm 2022: 540-547 [doi]

Improving Estimation of Woody Aboveground Biomass of Sparse Mixed Forest over Dryland Ecosystem by Combining Landsat-8, GaoFen-2, and UAV ImageryYong Shi 0001, Zhihui Wang, Liangyun Liu, Chunyi Li, Dailiang Peng, Peiqing Xiao. remotesensing, 13(23):4859, 2021. [doi]

Document-level relation extraction via graph transformer networks and temporal convolutional networksYong Shi 0001, Yang Xiao, Pei Quan, Minglong Lei, Lingfeng Niu. prl, 149:150-156, 2021. [doi]

Stock trading rule discovery with double deep Q-networkYong Shi 0001, Wei Li 0076, Luyao Zhu, Kun Guo, Erik Cambria. asc, 107:107320, 2021. [doi]

Hyper-Heuristics to customise metaheuristics for continuous optimisationJorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos, Hugo Terashima-Marín, Yong Shi 0001. swevo, 66:100935, 2021. [doi]

Improved incremental local outlier detection for data streams based on the landmark window modelAihua Li, Weijia Xu, Zhidong Liu, Yong Shi 0001. kais, 63(8):2129-2155, 2021. [doi]

A survey of sparse regularization based compression methodsAnda Tang, Pei Quan, Lingfeng Niu, Yong Shi 0001. itqm 2022: 703-709 [doi]

A Construction of Robust Representations for Small Data Sets Using Broad Learning SystemHuimin Tang, Peiwu Dong, Yong Shi 0001. tsmc, 51(10):6074-6084, 2021. [doi]

Visual Anomaly Detection for Images: A Systematic SurveyJie Yang, Ruijie Xu, Zhiquan Qi, Yong Shi 0001. itqm 2022: 471-478 [doi]

SentiVec: Learning Sentiment-Context Vector via Kernel Optimization Function for Sentiment AnalysisLuyao Zhu, Wei Li 0076, Yong Shi 0001, Kun Guo. tnn, 32(6):2561-2572, 2021. [doi]

2020

My Early Researches on Fuzzy Set and Fuzzy LogicYong Shi 0001. ijccc, 16(1), 2020. [doi]

A New Data Fusion Framework of Business Intelligence and Analytics in Economy, Finance and ManagementAihua Li, Weijia Xu, Yong Shi 0001. webi 2020: 940-945 [doi]

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