Yong Shi

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 193

Top Venues

Int. J. Inf. Technol. Decis. Mak.

ITQM

CoRR

ICDM Workshops

Publications

Yunlong Mi, Zongrun Wang, Pei Quan, Yong Shi
A semi-supervised concept-cognitive computing system for dynamic classification decision making with limited feedback information. Eur. J. Oper. Res. 315 (3) (2024)
Yong Shi, Yi Qu, Zhensong Chen, Yunlong Mi, Yunong Wang
Improved credit risk prediction based on an integrated graph representation learning approach with graph transformation. Eur. J. Oper. Res. 315 (2) (2024)
Huchang Liao, Xiaowan Jin, Yong Shi, Gang Kou
A Bibliometric Overview and Visualization of the International Journal of Information Technology and Decision Making Between 2012 and 2022. Int. J. Inf. Technol. Decis. Mak. 23 (1) (2024)
Yong Shi, Yi Qu, Linzi Zhang
How China Deals with COVID-19 Pandemic. Int. J. Inf. Technol. Decis. Mak. 23 (1) (2024)
Haicheng Tao, Jie Cao, Lei Chen, Hong-Liang Sun, Yong Shi, Xingquan Zhu
Black-box attacks on dynamic graphs via adversarial topology perturbations. Neural Networks 171 (2024)
Yong Shi, Anda Tang, Lingfeng Niu, Ruizhi Zhou
Sparse optimization guided pruning for neural networks. Neurocomputing 574 (2024)
Yong Shi, Yunong Wang, Yi Qu, Zhensong Chen
Integrated GCN-LSTM stock prices movement prediction based on knowledge-incorporated graphs construction. Int. J. Mach. Learn. Cybern. 15 (1) (2024)
Yong Shi, Lei Zheng, Pei Quan, Lingfeng Niu
Wasserstein distance regularized graph neural networks. Inf. Sci. 670 (2024)
James M. Tien, Yong Shi, Jianping Li
Guest Editors' Introduction for the Special Issue on The Role of Decision Making to Overcome COVID-19. Int. J. Inf. Technol. Decis. Mak. 23 (1) (2024)
Jianyu Miao, Jingjing Zhao, Tiejun Yang, Chao Fan, Yingjie Tian, Yong Shi, Mingliang Xu
Explicit unsupervised feature selection based on structured graph and locally linear embedding. Expert Syst. Appl. 255 (2024)
Linzi Zhang, Yong Shi
Sparse and semi-attention guided faults diagnosis approach for distributed online services. Appl. Soft Comput. 148 (2023)
Yong Shi
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 22 (5) (2023)
Jiabin Liu, Bo Wang, Hanyuan Hang, Huadong Wang, Zhiquan Qi, Yingjie Tian, Yong Shi
LLP-GAN: A GAN-Based Algorithm for Learning From Label Proportions. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Yong Shi
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 22 (1) (2023)
Linzi Zhang, Yong Shi
Trade credit or credit insurance? A green supply chain finance design scheme with multi-objective programming. J. Intell. Fuzzy Syst. 45 (2) (2023)
Jiabin Liu, Hanyuan Hang, Bo Wang, Biao Li, Huadong Wang, Yingjie Tian, Yong Shi
GAN-CL: Generative Adversarial Networks for Learning From Complementary Labels. IEEE Trans. Cybern. 53 (1) (2023)
Yong Shi, Yuanying Zhang, Peng Zhang, Yang Xiao, Lingfeng Niu
Federated learning with ℓ1 regularization. Pattern Recognit. Lett. 172 (2023)
Yong Shi, Linzi Zhang
Modelling long- and short-term multi-dimensional patterns in predictive maintenance with accumulative attention. Reliab. Eng. Syst. Saf. 237 (2023)
Yong Shi, Pei Quan, Yang Xiao, Minglong Lei, Lingfeng Niu
Graph Influence Network. IEEE Trans. Cybern. 53 (10) (2023)
Yong Shi
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 22 (4) (2023)
Zhiwang Zhang, Jing He, Hui Zheng, Jie Cao, Gang Wang, Yong Shi
Alternating Minimization-Based Sparse Least-Squares Classifier for Accuracy and Interpretability Improvement of Credit Risk Assessment. Int. J. Inf. Technol. Decis. Mak. 22 (1) (2023)
Yong Shi, Mengyu Shang, Zhiquan Qi
Intelligent layout generation based on deep generative models: A comprehensive survey. Inf. Fusion 100 (2023)
Minglong Lei, Pei Quan, Rongrong Ma, Yong Shi, Lingfeng Niu
DigGCN: Learning Compact Graph Convolutional Networks via Diffusion Aggregation. IEEE Trans. Cybern. 52 (2) (2022)
Jianyu Miao, Tiejun Yang, Jun-Wei Jin, Lijun Sun, Lingfeng Niu, Yong Shi
Towards Compact Broad Learning System by Combined Sparse Regularization. Int. J. Inf. Technol. Decis. Mak. 21 (1) (2022)
Yong Shi, Yuanchun Zheng, Kun Guo, Xinyue Ren
Relationship between Herd Behavior and Chinese Stock Market Fluctuations during a Bullish Period Based on Complex Networks. Int. J. Inf. Technol. Decis. Mak. 21 (1) (2022)
Jiabin Liu, Zhiquan Qi, Bo Wang, Yingjie Tian, Yong Shi
SELF-LLP: Self-supervised learning from label proportions with self-ensemble. Pattern Recognit. 129 (2022)
Yunlong Mi, Yong Shi, Jinhai Li, Wenqi Liu, Mengyu Yan
Fuzzy-Based Concept Learning Method: Exploiting Data With Fuzzy Conceptual Clustering. IEEE Trans. Cybern. 52 (1) (2022)
Zhiwang Zhang, Jing He, Jie Cao, Shuqing Li, Xingsen Li, Kai Zhang, Pingjiang Wang, Yong Shi
An explainable multi-sparsity multi-kernel nonconvex optimization least-squares classifier method via ADMM. Neural Comput. Appl. 34 (18) (2022)
Yong Shi, Yuanying Zhang, Yang Xiao, Lingfeng Niu
Optimization Strategies for Client Drift in Federated Learning: A review. ITQM (2022)
Doudou Lu, Wei Deng, Yongyin Xu, Yong Shi
A dynamic key node learning algorithm in evolving financial network: case study during the period of coronavirus. ITQM (2022)
Yong Shi, Xiaodong Xue, Jiayu Xue, Yi Qu
Fault Detection in Nuclear Power Plants using Deep Leaning based Image Classification with Imaged Time-series Data. Int. J. Comput. Commun. Control 17 (1) (2022)
Yunlong Mi, Pei Quan, Yong Shi, Zongrun Wang
Concept-cognitive computing system for dynamic classification. Eur. J. Oper. Res. 301 (1) (2022)
Yunlong Mi, Wenqi Liu, Yong Shi, Jinhai Li
Semi-Supervised Concept Learning by Concept-Cognitive Learning and Concept Space. IEEE Trans. Knowl. Data Eng. 34 (5) (2022)
Jie Yang, Yong Shi, Zhiquan Qi
Learning deep feature correspondence for unsupervised anomaly detection and segmentation. Pattern Recognit. 132 (2022)
Jing He, Guangyan Huang, Jie Cao, Zhiwang Zhang, Hui Zheng, Peng Zhang, Roozbeh Zarei, Ferry Susanto, Ruchuan Wang, Yimu Ji, Weibei Fan, Zhijun Xie, Xiancheng Wang, Mengjiao Guo, Chi-Hung Chi, Jiekui Zhang, Youtao Li, Xiaojun Chen, Yong Shi, André Van Zundert
A polynomial-time algorithm for simple undirected graph isomorphism. Concurr. Comput. Pract. Exp. 34 (3) (2022)
Jianyu Miao, Tiejun Yang, Lijun Sun, Xuan Fei, Lingfeng Niu, Yong Shi
Graph regularized locally linear embedding for unsupervised feature selection. Pattern Recognit. 122 (2022)
Jiabin Liu, Biao Li, Minglong Lei, Yong Shi
Self-supervised knowledge distillation for complementary label learning. Neural Networks 155 (2022)
Anda Tang, Tongsheng Yao, Lingfeng Niu, Yong Shi
Sparse Learning for Neural Networks with A Generalized Sparse Regularization. ITQM (2022)
Hui-Jia Li, Zhen Wang, Jie Cao, Jian Pei, Yong Shi
Optimal Estimation of Low-Rank Factors via Feature Level Data Fusion of Multiplex Signal Systems. IEEE Trans. Knowl. Data Eng. 34 (6) (2022)
Yong Shi, Mengyu Shang, Zhiquan Qi
A Conditional Deep Framework for Automatic Layout Generation. IEEE Access 10 (2022)
Hui-Jia Li, Lin Wang, Zhan Bu, Jie Cao, Yong Shi
Measuring the Network Vulnerability Based on Markov Criticality. ACM Trans. Knowl. Discov. Data 16 (2) (2022)
Yong Shi, Yuanying Zhang
The neural network methods for solving Traveling Salesman Problem. ITQM (2021)
Yong Shi, Xiaodong Xue, Yi Qu, Jiayu Xue, Linzi Zhang
Machine Learning and Deep Learning Methods used in Safety Management of Nuclear Power Plants: A Survey. ICDM (Workshops) (2021)
Yong Shi, Jie Yang, Zhiquan Qi
Unsupervised anomaly segmentation via deep feature reconstruction. Neurocomputing 424 (2021)
Yong Shi, Wei Li, Luyao Zhu, Kun Guo, Erik Cambria
Stock trading rule discovery with double deep Q-network. Appl. Soft Comput. 107 (2021)
Yong Shi, Wenlu An, Jiayu Xue, Yi Qu
A knowledge graph constructed for job-related crimes. ITQM (2021)
Biao Li, Yong Shi, Bo Wang, Zhiquan Qi, Jiabin Liu
RGSR: A two-step lossy JPG image super-resolution based on noise reduction. Neurocomputing 419 (2021)
Minglong Lei, Yong Shi, Lingfeng Niu
Latent Network Embedding via Adversarial Auto-encoders. CoRR (2021)
Jie Yang, Ruijie Xu, Zhiquan Qi, Yong Shi
Visual Anomaly Detection for Images: A Systematic Survey. ITQM (2021)
Yong Shi, Yunlong Mi, Jinhai Li, Wenqi Liu
Concept-Cognitive Learning Model for Incremental Concept Learning. IEEE Trans. Syst. Man Cybern. Syst. 51 (2) (2021)
Luyao Zhu, Wei Li, Yong Shi, Kun Guo
SentiVec: Learning Sentiment-Context Vector via Kernel Optimization Function for Sentiment Analysis. IEEE Trans. Neural Networks Learn. Syst. 32 (6) (2021)
Yong Shi, Yunong Wang
Research on the Rules of Scientists' Knowledge Sharing based on Interdisciplinary Measurement. ITQM (2021)
Yong Shi, Yang Xiao, Pei Quan, Minglong Lei, Lingfeng Niu
Distant Supervision Relation Extraction via adaptive dependency-path and additional knowledge graph supervision. Neural Networks 134 (2021)
Yong Shi, Yuanchun Zheng, Kun Guo, Xinyue Ren
Stock movement prediction with sentiment analysis based on deep learning networks. Concurr. Comput. Pract. Exp. 33 (6) (2021)
Huimin Tang, Peiwu Dong, Yong Shi
A Construction of Robust Representations for Small Data Sets Using Broad Learning System. IEEE Trans. Syst. Man Cybern. Syst. 51 (10) (2021)
Yong Shi
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 20 (3) (2021)
Jing He, Jinjun Chen, Guangyan Huang, Jie Cao, Zhiwang Zhang, Hui Zheng, Peng Zhang, Roozbeh Zarei, Ferry Sansoto, Ruchuan Wang, Yimu Ji, Weibei Fan, Zhijun Xie, Xiancheng Wang, Mengjiao Guo, Chi-Hung Chi, Paulo A. de Souza, Jiekui Zhang, Youtao Li, Xiaojun Chen, Yong Shi, David Green, Taraporewalla Kersi, André Van Zundert
A polynomial-time algorithm for simple undirected graph isomorphism. Concurr. Comput. Pract. Exp. 33 (7) (2021)
Jie Yang, Ruijie Xu, Zhiquan Qi, Yong Shi
Visual Anomaly Detection for Images: A Survey. CoRR (2021)
Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos, Hugo Terashima-Marín, Yong Shi
Hyper-Heuristics to customise metaheuristics for continuous optimisation. Swarm Evol. Comput. 66 (2021)
Anda Tang, Pei Quan, Lingfeng Niu, Yong Shi
A survey of sparse regularization based compression methods. ITQM (2021)
Yong Shi, Zhihui Wang, Liangyun Liu, Chunyi Li, Dailiang Peng, Peiqing Xiao
Improving Estimation of Woody Aboveground Biomass of Sparse Mixed Forest over Dryland Ecosystem by Combining Landsat-8, GaoFen-2, and UAV Imagery. Remote. Sens. 13 (23) (2021)
Aihua Li, Weijia Xu, Zhidong Liu, Yong Shi
Improved incremental local outlier detection for data streams based on the landmark window model. Knowl. Inf. Syst. 63 (8) (2021)
Yong Shi, Yang Xiao, Pei Quan, Minglong Lei, Lingfeng Niu
Document-level relation extraction via graph transformer networks and temporal convolutional networks. Pattern Recognit. Lett. 149 (2021)
Zhan Bu, Hui-Jia Li, Chengcui Zhang, Jie Cao, Aihua Li, Yong Shi
Graph K-means Based on Leader Identification, Dynamic Game, and Opinion Dynamics. IEEE Trans. Knowl. Data Eng. 32 (7) (2020)
Yong Shi
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 19 (2) (2020)
Tie Li, Gang Kou, Yi Peng, Yong Shi
Classifying With Adaptive Hyper-Spheres: An Incremental Classifier Based on Competitive Learning. IEEE Trans. Syst. Man Cybern. Syst. 50 (4) (2020)
Zhensong Chen, Wei Chen, Yong Shi
Ensemble learning with label proportions for bankruptcy prediction. Expert Syst. Appl. 146 (2020)
Yong Shi
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 19 (3) (2020)
Yong Shi
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 19 (5) (2020)
Fan Meng, Zhiquan Qi, Zhensong Chen, Bo Wang, Yong Shi
Token based crack detection. J. Intell. Fuzzy Syst. 38 (3) (2020)
Wei Li, Luyao Zhu, Yong Shi, Kun Guo, Erik Cambria
User reviews: Sentiment analysis using lexicon integrated two-channel CNN-LSTM family models. Appl. Soft Comput. 94 (2020)
Jie Yang, Zhiquan Qi, Yong Shi
Learning to Incorporate Structure Knowledge for Image Inpainting. CoRR (2020)
Jie Yang, Yong Shi, Zhiquan Qi
DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation. CoRR (2020)
Aihua Li, Weijia Xu, Yong Shi
A New Data Fusion Framework of Business Intelligence and Analytics in Economy, Finance and Management. WI/IAT (2020)
Yong Shi, Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian
Deep learning from label proportions with labeled samples. Neural Networks 128 (2020)
Yong Shi
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 19 (6) (2020)
Yong Shi
My Early Researches on Fuzzy Set and Fuzzy Logic. Int. J. Comput. Commun. Control 16 (1) (2020)
Yong Shi
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 19 (1) (2020)
Biao Li, Bo Wang, Jiabin Liu, Zhiquan Qi, Yong Shi
s-LWSR: Super Lightweight Super-Resolution Network. IEEE Trans. Image Process. 29 (2020)
Yong Shi, Yuanchun Zheng, Kun Guo, Zhenni Jin, Zili Huang
The Evolution Characteristics of Systemic Risk in China's Stock Market Based on a Dynamic Complex Network. Entropy 22 (6) (2020)
Wenshuai Wu, Zeshui Xu, Gang Kou, Yong Shi
Decision-Making Support for the Evaluation of Clustering Algorithms Based on MCDM. Complex. 2020 (2020)
Yong Shi
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 19 (4) (2020)
Jie Yang, Zhiquan Qi, Yong Shi
Learning to Incorporate Structure Knowledge for Image Inpainting. AAAI (2020)
Wei Deng, Yong Shi, Zhengxin Chen, Wikil Kwak, Huimin Tang
Recommender system for marketing optimization. World Wide Web 23 (3) (2020)
Zhiquan Qi, Yingjie Tian, Yong Shi, Vassil N. Alexandrov
Parallel RMCLP Classification Algorithm and Its Application on the Medical Data. IEEE Trans. Cloud Comput. 8 (2) (2020)
Fangyao Liu, Yuejin Zhang, Haotian Li, Chen Zhang, Wei Deng, Yong Shi
Meta-analysis of Peer Effects on Smart Cities. ITQM (2019)
Yong Shi, Limeng Cui, Zhensong Chen, Zhiquan Qi
Learning from label proportions with pinball loss. Int. J. Mach. Learn. Cybern. 10 (1) (2019)
Yong Shi, Minglong Lei, Hong Yang, Lingfeng Niu
Diffusion network embedding. Pattern Recognit. 88 (2019)
Biao Li, Yong Shi, Sujuan Li, Bo Wang, Zhiquan Qi, Jiabin Liu
A Novel Texture Generation Super Resolution Model. ITQM (2019)
Bao Feng, Peixin He, Yunyao Li, Junfeng Wu, Peng Li, Haichang Yao, Yimu Ji, Chao Min, Jiekui Zhang, Youtao Li, Peizhuang Wang, Yong Shi, Jing He, Hui Zheng, Yang Wang
Resultant Gradient Flow Method for Multiple Objective Programming Based on Efficient Computing. PAAP (2019)
Yong Shi
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 18 (1) (2019)
Yong Shi
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 18 (5) (2019)
Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian, Yong Shi
Learning from Label Proportions with Generative Adversarial Networks. NeurIPS (2019)
Wei Deng, Nan Xu, Haotian Li, Fangyao Liu, Yong Shi
Difference in Differences in Marketing Performance Measurement. ITQM (2019)
Yong Shi
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 18 (6) (2019)
Huimin Tang, Yong Shi, Peiwu Dong
Public blockchain evaluation using entropy and TOPSIS. Expert Syst. Appl. 117 (2019)
Pei Quan, Yong Shi, Minglong Lei, Jiaxu Leng, Tianlin Zhang, Lingfeng Niu
A Brief Review of Receptive Fields in Graph Convolutional Networks. WI (Companion) (2019)
Yong Shi, Jianyu Miao, Lingfeng Niu
Feature selection with MCP $$^2$$ 2 regularization. Neural Comput. Appl. 31 (10) (2019)
Yong Shi, Pei Quan
Big Data Analysis: Theory and Applications. LSSC (2019)
Yong Shi, Yang Xiao, Lingfeng Niu
A Brief Survey of Relation Extraction Based on Distant Supervision. ICCS (3) (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yong Shi