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ORCIDYong Shi 0001
Person information
- affiliation: University of Chinese Academy of Sciences, School of Economics and Management, Beijing, China
- affiliation: Chinese Academy of Sciences, Research Center of Fictitious Economy and Data Sciences, Beijing, China
- affiliation (former): University of Nebraska at Omaha, College of Information Science and Technology, NE, USA
- affiliation (PhD 1991): University of Kansas, Lawrence, KS, USA
Other persons with the same name
- Yong Shi — disambiguation page
- Yong Shi 0002
![[0000-0002-3980-1425]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-3980-1425")
— Kennesaw State University, Department of Computer Science, Kennesaw, GA, USA (and 1 more) - Yong Shi 0003 — Shaanxi University of Science & Technology, School of Electrical and Control Engineering, Xi'an, China
- Yong Shi 0004 — Huainan Normal University, School of Computer Science, Huainan, China
- Yong Shi 0005 — China University of Geosciences, School of Economics and Management, Wuhan, China (and 1 more)
- Yong Shi 0006 — Heilongjiang University, School of Mechanical and Electrical Engineering, Harbin, China
- Yong Shi 0007 — Shanghai University of Sport, Department of Economics and Management, Shanghai, China (and 1 more)
- Yong Shi 0008 — Changzhou Institute of Technology, School of Computer Information and Engineering, Changzhou, China (and 1 more)
- Yong Shi 0009 — Shanghai Jiao Tong University, Department of Electronic Engineering, Shanghai, China
- Yong Shi 0010 — Huawei Technologies, Trustworthiness Theory, Technology & Engineering Lab, Shenzhen, China
- Yong Shi 0011 — Xi'an Jiaotong University, Electronic and Information Engineering Department, Shaanxi, China
- Yong Shi 0012 — Microsoft Bing, Beijing, China
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2020 – today
- 2025
[j281]Pei Quan, Lei Zheng, Wen Zhang, Yang Xiao, Lingfeng Niu, Yong Shi:
ExGAT: Context extended graph attention neural network. Neural Networks 181: 106784 (2025)- 2024
- [j280]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): 786-801 (2024) - [j279]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): 1123-1138 (2024) - [j278]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: 124568 (2024) - [j277]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): 1-4 (2024) - [j276]Yong Shi, Yi Qu, Linzi Zhang:
How China Deals with COVID-19 Pandemic. Int. J. Inf. Technol. Decis. Mak. 23(1): 17-35 (2024) - [j275]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): 171-195 (2024) - [j274]Fangyao Liu, Daji Ergu, Biao Li, Wei Deng, Zhengxin Chen, Guoqing Lu, Yong Shi:
A Text Mining Approach to Covid-19 Literature. Int. J. Inf. Technol. Decis. Mak. 23(4): 1427-1448 (2024) - [j273]Yong Shi, Anda Tang, Lingfeng Niu, Ruizhi Zhou:
Sparse optimization guided pruning for neural networks. Neurocomputing 574: 127280 (2024) - [j272]Yong Shi, Lei Zheng, Pei Quan, Lingfeng Niu:
Wasserstein distance regularized graph neural networks. Inf. Sci. 670: 120608 (2024) - [j271]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): 161-176 (2024) - [j270]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: 308-319 (2024) - 2023
- [j269]Linzi Zhang, Yong Shi:
Sparse and semi-attention guided faults diagnosis approach for distributed online services. Appl. Soft Comput. 148: 110911 (2023) - [j268]Yunlong Mi, Zongrun Wang, Hui Liu, Yi Qu, Gaofeng Yu, Yong Shi:
Divide and conquer: A granular concept-cognitive computing system for dynamic classification decision making. Eur. J. Oper. Res. 308(1): 255-273 (2023) - [j267]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 22(1): 1-5 (2023) - [j266]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): 537-567 (2023) - [j265]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 22(4): 1165-1168 (2023) - [j264]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 22(5): 1529-1531 (2023) - [j263]Yong Shi, Mengyu Shang, Zhiquan Qi:
Intelligent layout generation based on deep generative models: A comprehensive survey. Inf. Fusion 100: 101940 (2023) - [j262]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): 2707-2721 (2023) - [j261]Yong Shi, Yuanying Zhang, Peng Zhang, Yang Xiao, Lingfeng Niu:
Federated learning with ℓ1 regularization. Pattern Recognit. Lett. 172: 15-21 (2023) - [j260]Yong Shi, Linzi Zhang:
Modelling long- and short-term multi-dimensional patterns in predictive maintenance with accumulative attention. Reliab. Eng. Syst. Saf. 237: 109306 (2023) - [j259]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): 236-247 (2023) - [j258]Yong Shi, Pei Quan, Yang Xiao, Minglong Lei, Lingfeng Niu:
Graph Influence Network. IEEE Trans. Cybern. 53(10): 6146-6159 (2023) - [j257]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): 8377-8388 (2023) - 2022
- [b3]Yong Shi:
Advances in Big Data Analytics - Theory, Algorithms and Practices. Springer 2022, ISBN 978-981-16-3606-6, pp. 3-724 - [j256]Yong Shi, Mengyu Shang, Zhiquan Qi:
A Conditional Deep Framework for Automatic Layout Generation. IEEE Access 10: 86092-86100 (2022) - [j255]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) - [j254]Yong Shi, Yuan An, Xiumei Zhu, Fuwei Jiang:
Better to hear all parties: Understanding the impact of homophily in online financial discussion. Electron. Commer. Res. Appl. 54: 101159 (2022) - [j253]Yunlong Mi, Pei Quan, Yong Shi, Zongrun Wang:
Concept-cognitive computing system for dynamic classification. Eur. J. Oper. Res. 301(1): 287-299 (2022) - [j252]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) - [j251]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 21(1): 1-6 (2022) - [j250]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): 169-194 (2022) - [j249]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): 405-421 (2022) - [j248]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 21(2): 487-491 (2022) - [j247]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 21(3): 851-854 (2022) - [j246]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 21(4): 1123-1126 (2022) - [j245]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 21(5): 1381-1384 (2022) - [j244]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): 16103-16128 (2022) - [j243]Jiabin Liu, Biao Li, Minglong Lei, Yong Shi:
Self-supervised knowledge distillation for complementary label learning. Neural Networks 155: 318-327 (2022) - [j242]Jianyu Miao, Tiejun Yang, Lijun Sun, Xuan Fei, Lingfeng Niu, Yong Shi:
Graph regularized locally linear embedding for unsupervised feature selection. Pattern Recognit. 122: 108299 (2022) - [j241]Jiabin Liu, Zhiquan Qi, Bo Wang, Yingjie Tian, Yong Shi:
SELF-LLP: Self-supervised learning from label proportions with self-ensemble. Pattern Recognit. 129: 108767 (2022) - [j240]Jie Yang, Yong Shi, Zhiquan Qi:
Learning deep feature correspondence for unsupervised anomaly detection and segmentation. Pattern Recognit. 132: 108874 (2022) - [j239]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): 582-593 (2022) - [j238]Minglong Lei, Pei Quan, Rongrong Ma, Yong Shi, Lingfeng Niu:
DigGCN: Learning Compact Graph Convolutional Networks via Diffusion Aggregation. IEEE Trans. Cybern. 52(2): 912-924 (2022) - [j237]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): 28:1-28:24 (2022) - [j236]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): 2429-2442 (2022) - [j235]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): 2860-2871 (2022) - [c219]Anda Tang, Tongsheng Yao, Lingfeng Niu, Yong Shi:
Sparse Learning for Neural Networks with A Generalized Sparse Regularization. ITQM 2022: 747-754 - [c218]Yong Shi, Yuanying Zhang, Yang Xiao, Lingfeng Niu:
Optimization Strategies for Client Drift in Federated Learning: A review. ITQM 2022: 1168-1173 - [c217]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: 1587-1594 - [e22]Yubin Liu, Yong Shi, Yong Wang, Daji Ergu, Daniel Berg, James M. Tien, Jianping Li, Yingjie Tian:
Proceedings of the 8th International Conference on Information Technology and Quantitative Management, ITQM 2020 & 2021, Developing Global Digital Economy after COVID-19, July 9-11, 2021, Chengdu, China. Procedia Computer Science 199, Elsevier 2022 [contents] - [e21]Yong Shi, Jianping Li, Gang Kou, Daniel Berg, James M. Tien:
Proceedings of the 9th International Conference on Information Technology and Quantitative Management, ITQM 2022, Global Green Digital Economy: Challenges and Development, December 9-11, 2022, Beijing, China. Procedia Computer Science 214, Elsevier 2022 [contents] - 2021
- [j234]Yong Shi, Wei Li, Luyao Zhu, Kun Guo, Erik Cambria:
Stock trading rule discovery with double deep Q-network. Appl. Soft Comput. 107: 107320 (2021) - [j233]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) - [j232]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): 1 (2021) - [j231]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 20(3): 843-845 (2021) - [j230]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 20(5): 1335-1337 (2021) - [j229]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 20(6): 1557-1560 (2021) - [j228]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: 322-334 (2021) - [j227]Yong Shi, Jie Yang, Zhiquan Qi:
Unsupervised anomaly segmentation via deep feature reconstruction. Neurocomputing 424: 9-22 (2021) - [j226]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): 2129-2155 (2021) - [j225]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: 42-53 (2021) - [j224]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: 150-156 (2021) - [j223]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): 4859 (2021) - [j222]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: 100935 (2021) - [j221]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): 2561-2572 (2021) - [j220]Yong Shi, Yunlong Mi, Jinhai Li, Wenqi Liu:
Concept-Cognitive Learning Model for Incremental Concept Learning. IEEE Trans. Syst. Man Cybern. Syst. 51(2): 809-821 (2021) - [j219]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): 6074-6084 (2021) - [c216]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: 917-924 - [c215]Jie Yang, Ruijie Xu, Zhiquan Qi, Yong Shi:
Visual Anomaly Detection for Images: A Systematic Survey. ITQM 2021: 471-478 - [c214]Yong Shi, Wenlu An, Jiayu Xue, Yi Qu:
A knowledge graph constructed for job-related crimes. ITQM 2021: 540-547 - [c213]Yong Shi, Yunong Wang:
Research on the Rules of Scientists' Knowledge Sharing based on Interdisciplinary Measurement. ITQM 2021: 657-664 - [c212]Yong Shi, Yuanying Zhang:
The neural network methods for solving Traveling Salesman Problem. ITQM 2021: 681-686 - [c211]Anda Tang, Pei Quan, Lingfeng Niu, Yong Shi:
A survey of sparse regularization based compression methods. ITQM 2021: 703-709 - [i15]Jie Yang, Ruijie Xu, Zhiquan Qi, Yong Shi:
Visual Anomaly Detection for Images: A Survey. CoRR abs/2109.13157 (2021) - [i14]Minglong Lei, Yong Shi, Lingfeng Niu:
Latent Network Embedding via Adversarial Auto-encoders. CoRR abs/2109.15257 (2021) - 2020
- [j218]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: 106435 (2020) - [j217]Wenshuai Wu, Zeshui Xu, Gang Kou, Yong Shi:
Decision-Making Support for the Evaluation of Clustering Algorithms Based on MCDM. Complex. 2020: 9602526:1-9602526:17 (2020) - [j216]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): 614 (2020) - [j215]Zhensong Chen, Wei Chen, Yong Shi:
Ensemble learning with label proportions for bankruptcy prediction. Expert Syst. Appl. 146: 113155 (2020) - [j214]Yong Shi:
My Early Researches on Fuzzy Set and Fuzzy Logic. Int. J. Comput. Commun. Control 16(1) (2020) - [j213]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 19(1): 1-4 (2020) - [j212]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 19(2): 361-364 (2020) - [j211]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 19(3): 649-651 (2020) - [j210]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 19(4): 959-961 (2020) - [j209]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 19(5): 1173-1176 (2020) - [j208]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 19(6): 1425-1427 (2020) - [j207]Fan Meng, Zhiquan Qi, Zhensong Chen, Bo Wang, Yong Shi:
Token based crack detection. J. Intell. Fuzzy Syst. 38(3): 3501-3513 (2020) - [j206]Yong Shi, Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian:
Deep learning from label proportions with labeled samples. Neural Networks 128: 73-81 (2020) - [j205]Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Yong Shi:
CUSTOMHyS: Customising Optimisation Metaheuristics via Hyper-heuristic Search. SoftwareX 12: 100628 (2020) - [j204]Zhiquan Qi, Yingjie Tian, Yong Shi, Vassil Alexandrov:
Parallel RMCLP Classification Algorithm and Its Application on the Medical Data. IEEE Trans. Cloud Comput. 8(2): 532-538 (2020) - [j203]Biao Li, Bo Wang, Jiabin Liu, Zhiquan Qi, Yong Shi:
s-LWSR: Super Lightweight Super-Resolution Network. IEEE Trans. Image Process. 29: 8368-8380 (2020) - [j202]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): 1348-1361 (2020) - [j201]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): 1218-1229 (2020) - [j200]Wei Deng, Yong Shi, Zhengxin Chen, Wikil Kwak, Huimin Tang:
Recommender system for marketing optimization. World Wide Web 23(3): 1497-1517 (2020) - [c210]Jie Yang, Zhiquan Qi, Yong Shi:
Learning to Incorporate Structure Knowledge for Image Inpainting. AAAI 2020: 12605-12612 - [c209]Aihua Li, Weijia Xu, Yong Shi:
A New Data Fusion Framework of Business Intelligence and Analytics in Economy, Finance and Management. WI/IAT 2020: 940-945 - [e20]Jing He, Philip S. Yu, Yong Shi, Xingsen Li, Zhijun Xie, Guangyan Huang, Jie Cao, Fu Xiao:
Data Science - 6th International Conference, ICDS 2019, Ningbo, China, May 15-20, 2019, Revised Selected Papers. Communications in Computer and Information Science 1179, Springer 2020, ISBN 978-981-15-2809-5 [contents] - [i13]Jie Yang, Zhiquan Qi, Yong Shi:
Learning to Incorporate Structure Knowledge for Image Inpainting. CoRR abs/2002.04170 (2020) - [i12]Jie Yang, Yong Shi, Zhiquan Qi:
DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation. CoRR abs/2012.07122 (2020)
2010 – 2019
- 2019
- [j199]Yong Shi, Minglong Lei, Rongrong Ma, Lingfeng Niu:
Learning Robust Auto-Encoders With Regularizer for Linearity and Sparsity. IEEE Access 7: 17195-17206 (2019) - [j198]Huimin Tang, Peiwu Dong, Yong Shi:
A new approach of integrating piecewise linear representation and weighted support vector machine for forecasting stock turning points. Appl. Soft Comput. 78: 685-696 (2019) - [j197]Huimin Tang, Yong Shi, Peiwu Dong:
Public blockchain evaluation using entropy and TOPSIS. Expert Syst. Appl. 117: 204-210 (2019) - [j196]Fangyao Liu, Yayu Peng, Zhengxin Chen, Yong Shi:
Modeling of Characteristics on Artificial Intelligence IQ Test: a Fuzzy Cognitive Map-Based Dynamic Scenario Analysis. Int. J. Comput. Commun. Control 14(6): 653-669 (2019) - [j195]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 18(1): 1-5 (2019) - [j194]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 18(2): 413-417 (2019) - [j193]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 18(3): 743-746 (2019) - [j192]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 18(4): 1083-1086 (2019) - [j191]Xiangdong Ran, Zhiguang Shan, Yong Shi, Chuang Lin:
Short-Term Travel Time Prediction: A Spatiotemporal Deep Learning Approach. Int. J. Inf. Technol. Decis. Mak. 18(4): 1087-1111 (2019) - [j190]Yong Shi, Luyao Zhu, Wei Li, Kun Guo, Yuanchun Zheng:
Survey on Classic and Latest Textual Sentiment Analysis Articles and Techniques. Int. J. Inf. Technol. Decis. Mak. 18(4): 1243-1287 (2019) - [j189]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 18(5): 1463-1467 (2019) - [j188]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 18(6): 1751-1754 (2019) - [j187]Yong Shi, Yunlong Mi, Jinhai Li, Wenqi Liu:
Concurrent concept-cognitive learning model for classification. Inf. Sci. 496: 65-81 (2019) - [j186]Qiannan Zhu, Xiaofei Zhou, Peng Zhang, Yong Shi:
A neural translating general hyperplane for knowledge graph embedding. J. Comput. Sci. 30: 108-117 (2019) - [j185]Sergey V. Kovalchuk, Valeria V. Krzhizhanovskaya, Yong Shi, Haohuan Fu, Michael Harold Lees, Jack J. Dongarra, Peter M. A. Sloot:
Science at the intersection of data, modelling, and computation. J. Comput. Sci. 34: 117-119 (2019) - [j184]Yong Shi, Peijia Li, Hao Yuan, Jianyu Miao, Lingfeng Niu:
Fast kernel extreme learning machine for ordinal regression. Knowl. Based Syst. 177: 44-54 (2019) - [j183]Yong Shi, Limeng Cui, Zhensong Chen, Zhiquan Qi:
Learning from label proportions with pinball loss. Int. J. Mach. Learn. Cybern. 10(1): 187-205 (2019) - [j182]Yong Shi, Jianyu Miao, Lingfeng Niu:
Feature selection with MCP $$^2$$ 2 regularization. Neural Comput. Appl. 31(10): 6699-6709 (2019) - [j181]Yong Shi, Minglong Lei, Hong Yang, Lingfeng Niu:
Diffusion network embedding. Pattern Recognit. 88: 518-531 (2019) - [j180]Zhensong Chen, Yong Shi, Zhiquan Qi:
Constrained matrix factorization for semi-weakly learning with label proportions. Pattern Recognit. 91: 13-24 (2019) - [c208]Yong Shi, Yang Xiao, Lingfeng Niu:
A Brief Survey of Relation Extraction Based on Distant Supervision. ICCS (3) 2019: 293-303 - [c207]Wei Deng, Nan Xu, Haotian Li, Fangyao Liu, Yong Shi:
Difference in Differences in Marketing Performance Measurement. ITQM 2019: 275-280 - [c206]Yuejin Zhang, Fangyao Liu, Zhiqiang Gu, Zhengxin Chen, Yong Shi, Aihua Li:
Research on Smart City Evaluation Based on Hierarchy of Needs. ITQM 2019: 467-474 - [c205]Fangyao Liu, Yuejin Zhang, Haotian Li, Chen Zhang, Wei Deng, Yong Shi:
Meta-analysis of Peer Effects on Smart Cities. ITQM 2019: 873-877 - [c204]Yi Qu, Pei Quan, Minglong Lei, Yong Shi:
Review of bankruptcy prediction using machine learning and deep learning techniques. ITQM 2019: 895-899 - [c203]Biao Li, Yong Shi, Sujuan Li, Bo Wang, Zhiquan Qi, Jiabin Liu:
A Novel Texture Generation Super Resolution Model. ITQM 2019: 924-931 - [c202]Yong Shi, Pei Quan:
Big Data Analysis: Theory and Applications. LSSC 2019: 15-27 - [c201]Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian, Yong Shi:
Learning from Label Proportions with Generative Adversarial Networks. NeurIPS 2019: 7167-7177 - [c200]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: 492-506 - [c199]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: 106-110 - [e19]Enrique Herrera-Viedma, Yong Shi, Daniel Berg, James M. Tien, Francisco Javier Cabrerizo, Jianping Li:
Proceedings of the 7th International Conference on Information Technology and Quantitative Management, ITQM 2019, Information Technology and Quantitative Management based on Artificial Intelligence, November 3-6, 2019, Granada, Spain. Procedia Computer Science 162, Elsevier 2019 [contents] - [i11]Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian, Yong Shi:
Learning from Label Proportions with Generative Adversarial Networks. CoRR abs/1909.02180 (2019) - [i10]Biao Li, Jiabin Liu, Bo Wang, Zhiquan Qi, Yong Shi:
s-LWSR: Super Lightweight Super-Resolution Network. CoRR abs/1909.10774 (2019) - 2018
- [j179]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 17(1): 1-6 (2018) - [j178]Yong Shi, Gang Kou:
In Memoriam of Thomas Saaty. Int. J. Inf. Technol. Decis. Mak. 17(1): 7-8 (2018) - [j177]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 17(2): 387-390 (2018) - [j176]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 17(3): 705-708 (2018) - [j175]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 17(4): 969-972 (2018) - [j174]Yong Shi, Gang Kou:
In Memoriam Siwei Cheng and the First International "Siwei Cheng Award" for Venture Capital Research. Int. J. Inf. Technol. Decis. Mak. 17(4): 973-975 (2018) - [j173]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 17(5): 1299-1303 (2018) - [j172]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 17(6): 1607-1610 (2018) - [j171]Zhiwang Zhang, Guangxia Gao, Jun Yue, Yong Shi:
Sparse feature kernel multi-criteria linear programming classifier. Neurocomputing 305: 104-115 (2018) - [j170]Wei Li, Kun Guo, Yong Shi, Luyao Zhu, Yuanchun Zheng:
DWWP: Domain-specific new words detection and word propagation system for sentiment analysis in the tourism domain. Knowl. Based Syst. 146: 203-214 (2018) - [j169]Yong Shi, Jiabin Liu, Zhiquan Qi, Bo Wang:
Learning from label proportions on high-dimensional data. Neural Networks 103: 9-18 (2018) - [j168]Dalian Liu, Dewei Li, Yong Shi, Yingjie Tian:
Large-scale linear nonparallel SVMs. Soft Comput. 22(6): 1945-1957 (2018) - [j167]Huijia Li, Zhan Bu, Zhen Wang, Jie Cao, Yong Shi:
Enhance the Performance of Network Computation by a Tunable Weighting Strategy. IEEE Trans. Emerg. Top. Comput. Intell. 2(3): 214-223 (2018) - [j166]Zhiquan Qi, Fan Meng, Yingjie Tian, Lingfeng Niu, Yong Shi, Peng Zhang:
Adaboost-LLP: A Boosting Method for Learning With Label Proportions. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3548-3559 (2018) - [j165]Yong Shi, Jianyu Miao, Zhengyu Wang, Peng Zhang, Lingfeng Niu:
Feature Selection With ℓ2, 1-2 Regularization. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4967-4982 (2018) - [j164]Ning Zhong, Jiming Liu, Yong Shi, Yiyu Yao:
An interview with Professor Raj Reddy on Web Intelligence (WI) and Computational Social Science (CSS). Web Intell. 16(3): 143-146 (2018) - [c198]Liu Feng, Fangyao Liu, Yong Shi:
City Brain, a New Architecture of Smart City Based on the Internet Brain. CSCWD 2018: 624-629 - [c197]Pei Quan, Ying Liu, Tianlin Zhang, Yueran Wen, Kaichao Wu, Hongbo He, Yong Shi:
A Novel Data Mining Approach Towards Human Resource Performance Appraisal. ICCS (2) 2018: 476-488 - [c196]Yong Shi, Yuanchun Zheng, Kun Guo, Wei Li, Luyao Zhu:
Word Similarity Fails in Multiple Sense Word Embedding. ICCS (2) 2018: 489-498 - [c195]Minglong Lei, Yong Shi, Peijia Li, Lingfeng Niu:
Deep Streaming Graph Representations. ICCS (3) 2018: 512-518 - [c194]Biao Li, Yong Shi, Zhiquan Qi, Zhensong Chen:
A Survey on Semantic Segmentation. ICDM Workshops 2018: 1233-1240 - [c193]Yong Shi, Yuanchun Zheng, Kun Guo, Luyao Zhu, Yi Qu:
Intrinsic or Extrinsic Evaluation: An Overview of Word Embedding Evaluation. ICDM Workshops 2018: 1255-1262 - [c192]Limeng Cui, Zhensong Chen, Jiawei Zhang, Lifang He, Yong Shi, Philip S. Yu:
Multi-View Fusion Through Cross-Modal Retrieval. ICIP 2018: 1977-1981 - [c191]Feng Liu, Yong Shi:
Research on Artificial Intelligence Ethics Based on the Evolution of Population Knowledge Base. IFIP TC12 ICIS 2018: 455-464 - [c190]Lakshmi Prasanna Kaspa, Venkata Naga Sai Sriram Akella, Zhengxin Chen, Yong Shi:
Towards Extended Data Mining: An Examination of Technical Aspects. ITQM 2018: 49-55 - [c189]Fangyao Liu, Yuejin Zhang, Yong Shi, Zhengxin Chen, Xixi Feng:
Analyzing the Impact of Characteristics on Artificial Intelligence IQ Test: A Fuzzy Cognitive Map Approach. ITQM 2018: 82-90 - [c188]Pei Quan, Yong Shi, Lingfeng Niu, Ying Liu, Tianlin Zhang:
Automatic Chinese Multiple-Choice Question Generation for Human Resource Performance Appraisal. ITQM 2018: 165-172 - [c187]Yong Shi, Ye-ran Tang, Wen Long:
Finding Patterns of Stock Returns Based on Sequence Alignment. ITQM 2018: 256-262 - [c186]Yi Qu, Yong Shi, Kun Guo, Yuanchun Zheng:
Has "Intelligent Manufacturing" Promoted the Productivity of Manufacturing Sector?-Evidence from China's Listed Firms. ITQM 2018: 299-305 - [c185]Limeng Cui, Zhensong Chen, Jiawei Zhang, Lifang He, Yong Shi, Philip S. Yu:
Multi-view Collective Tensor Decomposition for Cross-modal Hashing. ICMR 2018: 73-81 - [c184]Minglong Lei, Yong Shi, Lingfeng Niu:
The Applications of Stochastic Models in Network Embedding: A Survey. WI 2018: 635-638 - [c183]Yong Shi, Jiabin Liu, Zhiquan Qi:
Inverse Convolutional Neural Networks for Learning from Label Proportions. WI 2018: 643-646 - [e18]Yong Shi, Haohuan Fu, Yingjie Tian, Valeria V. Krzhizhanovskaya, Michael Harold Lees, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2018 - 18th International Conference, Wuxi, China, June 11-13, 2018, Proceedings, Part I. Lecture Notes in Computer Science 10860, Springer 2018, ISBN 978-3-319-93697-0 [contents] - [e17]Yong Shi, Haohuan Fu, Yingjie Tian, Valeria V. Krzhizhanovskaya, Michael Harold Lees, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2018 - 18th International Conference, Wuxi, China, June 11-13, 2018, Proceedings, Part II. Lecture Notes in Computer Science 10861, Springer 2018, ISBN 978-3-319-93700-7 [contents] - [e16]Yong Shi, Haohuan Fu, Yingjie Tian, Valeria V. Krzhizhanovskaya, Michael Harold Lees, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2018 - 18th International Conference, Wuxi, China, June 11-13, 2018 Proceedings, Part III. Lecture Notes in Computer Science 10862, Springer 2018, ISBN 978-3-319-93712-0 [contents] - [e15]Yong Shi, Peter Wolcott, Wikil Kwak, Zhengxin Chen, Yingjie Tian, Heeseok Lee:
Proceedings of the 6th International Conference on Information Technology and Quantitative Management, ITQM 2018, Advanced Information Technology and Global Business Competition, October 20-21, 2018, Omaha, Nebraska, USA. Procedia Computer Science 139, Elsevier 2018 [contents] - [i9]Yunlong Mi, Yong Shi, Jinhai Li, Jiabin Liu, Biao Li:
A generalized concept-cognitive learning: A machine learning viewpoint. CoRR abs/1801.02334 (2018) - [i8]Feng Liu, Yong Shi, Peijia Li:
Analysis of the Relation between Artificial Intelligence and the Internet from the Perspective of Brain Science. CoRR abs/1801.06044 (2018) - [i7]Yong Shi, Minglong Lei, Peng Zhang, Lingfeng Niu:
Diffusion Based Network Embedding. CoRR abs/1805.03504 (2018) - [i6]Feng Liu, Yong Shi:
Research on Artificial Intelligence Ethics Based on the Evolution of Population Knowledge Base. CoRR abs/1806.10095 (2018) - [i5]Yong Shi, Huadong Wang, Xin Shen, Lingfeng Niu:
A Novel Large-scale Ordinal Regression Model. CoRR abs/1812.08237 (2018) - 2017
- [j163]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 16(1): 1-4 (2017) - [j162]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 16(2): 281-284 (2017) - [j161]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 16(3): 593-596 (2017) - [j160]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 16(5): 1151-1154 (2017) - [j159]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 16(6): 1441-1446 (2017) - [j158]Peizhuang Wang, Guirong Guo, Yong Shi, Zhenliang Liu:
Editorial: To Honor Our Mentor and Friend, Professor L. A. Zadeh. Int. J. Inf. Technol. Decis. Mak. 16(6): 1447-1450 (2017) - [j157]Chuang Lin, Guoliang Li, Zhiguang Shan, Yong Shi:
Thinking and Modeling for Big Data from the Perspective of the I Ching. Int. J. Inf. Technol. Decis. Mak. 16(6): 1451-1464 (2017) - [j156]Yong Shi, Zhuofan Yang, Hong Yan, Xin Tian:
Delivery efficiency and supplier performance evaluation in China's E-retailing industry. J. Syst. Sci. Complex. 30(2): 392-410 (2017) - [j155]Zhensong Chen, Zhiquan Qi, Bo Wang, Limeng Cui, Fan Meng, Yong Shi:
Learning with label proportions based on nonparallel support vector machines. Knowl. Based Syst. 119: 126-141 (2017) - [j154]Seyed Mojtaba Hosseini Bamakan, Huadong Wang, Yong Shi:
Ramp loss K-Support Vector Classification-Regression; a robust and sparse multi-class approach to the intrusion detection problem. Knowl. Based Syst. 126: 113-126 (2017) - [j153]Yong Shi, Zhensong Chen, Zhiquan Qi, Fan Meng, Limeng Cui:
A novel clustering-based image segmentation via density peaks algorithm with mid-level feature. Neural Comput. Appl. 28(S-1): 29-39 (2017) - [j152]Huadong Wang, Yong Shi, Lingfeng Niu, Yingjie Tian:
Nonparallel Support Vector Ordinal Regression. IEEE Trans. Cybern. 47(10): 3306-3317 (2017) - [c182]Hui Zheng, Jing He, Yanchun Zhang, Yong Shi:
A fuzzy decision tree approach based on data distribution construction. ACSW 2017: 5:1-5:10 - [c181]Limeng Cui, Jiawei Zhang, Zhensong Chen, Yong Shi, Philip S. Yu:
Inverse extreme learning machine for learning with label proportions. IEEE BigData 2017: 576-585 - [c180]Wei Li, Kun Guo, Yong Shi, Luyao Zhu, Yuanchun Zheng:
Improved New Word Detection Method Used in Tourism Field. ICCS 2017: 1251-1260 - [c179]Huadong Wang, Jianyu Miao, Seyed Mojtaba Hosseini Bamakan, Lingfeng Niu, Yong Shi:
Large-scale Nonparallel Support Vector Ordinal Regression Solver. ICCS 2017: 1261-1270 - [c178]Jianyu Miao, Yong Shi, Lingfeng Niu:
A Feasible Direction Method for Optimization Problem with Orthogonal Constraint in Feature Selection. ICDM Workshops 2017: 824-829 - [c177]Feng Liu, Yong Shi, Peijia Li:
Analysis of the Relation between Artificial Intelligence and the Internet from the Perspective of Brain Science. ITQM 2017: 377-383 - [c176]Fangyao Liu, Yong Shi, Lotfollah Najjar:
Application of Design of Experiment Method for Sports Results Prediction. ITQM 2017: 720-726 - [c175]Luyao Zhu, Wei Li, Kun Guo, Yong Shi, Yuanchun Zheng:
The Tourism-Specific Sentiment Vector Construction Based on Kernel Optimization Function. ITQM 2017: 1162-1167 - [c174]Yong Shi, Peijia Li, Lingfeng Niu:
Augmented SVM with ordinal partitioning for text classification. WI 2017: 959-962 - [c173]Bo Wang, Yong Shi:
A study on error correction of multiple criteria and multiple constraint levels linear programming based classification. WI 2017: 984-987 - [e14]Vandana Ahuja, Yong Shi, Deepak Khazanchi, Naseem Abidi, Yingjie Tian, Daniel Berg, James M. Tien:
Proceedings of the 5th International Conference on Information Technology and Quantitative Management, ITQM 2017, Creating Knowledge and Wisdom via Big Data Analytics, December 8-10, 2017, New Delhi, India. Procedia Computer Science 122, Elsevier 2017 [contents] - [i4]Feng Liu, Yong Shi, Ying Liu:
Intelligence Quotient and Intelligence Grade of Artificial Intelligence. CoRR abs/1709.10242 (2017) - [i3]Feng Liu, Yong Shi, Ying Liu:
Three IQs of AI Systems and their Testing Methods. CoRR abs/1712.06440 (2017) - 2016
- [j151]Zhuofan Yang, Yong Shi, Hong Yan:
Scale, congestion, efficiency and effectiveness in e-commerce firms. Electron. Commer. Res. Appl. 20: 171-182 (2016) - [j150]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 15(1): 1-4 (2016) - [j149]Yong Shi:
Guest Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 15(2): 235-238 (2016) - [j148]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 15(3): 475-478 (2016) - [j147]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 15(5): 919-922 (2016) - [j146]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 15(6): 1265-1268 (2016) - [j145]Seyed Mojtaba Hosseini Bamakan, Huadong Wang, Yingjie Tian, Yong Shi:
An effective intrusion detection framework based on MCLP/SVM optimized by time-varying chaos particle swarm optimization. Neurocomputing 199: 90-102 (2016) - [j144]Dalian Liu, Yong Shi, Yingjie Tian, Xiankai Huang:
Ramp loss least squares support vector machine. J. Comput. Sci. 14: 61-68 (2016) - [j143]Yingjie Tian, Xuchan Ju, Yong Shi:
A divide-and-combine method for large scale nonparallel support vector machines. Neural Networks 75: 12-21 (2016) - [j142]Yong Shi, Limeng Cui, Zhiquan Qi, Fan Meng, Zhensong Chen:
Automatic Road Crack Detection Using Random Structured Forests. IEEE Trans. Intell. Transp. Syst. 17(12): 3434-3445 (2016) - [j141]Huijia Li, Zhan Bu, Aihua Li, Zhidong Liu, Yong Shi:
Fast and Accurate Mining the Community Structure: Integrating Center Locating and Membership Optimization. IEEE Trans. Knowl. Data Eng. 28(9): 2349-2362 (2016) - [j140]Jongwon Lee, Yong Shi, Fang Wang, Heeseok Lee, Heung Kee Kim:
Advertisement clicking prediction by using multiple criteria mathematical programming. World Wide Web 19(4): 707-724 (2016) - [c172]Dalian Liu, Dandan Chen, Yong Shi, Yingjie Tian:
Ramp Loss Linear Programming Nonparallel Support Vector Machine. ICCS 2016: 1745-1754 - [c171]Limeng Cui, Zhensong Chen, Fan Meng, Yong Shi:
Laplacian SVM for Learning from Label Proportions. ICDM Workshops 2016: 847-852 - [c170]Jianyu Miao, Yong Shi, Lingfeng Niu:
Robust Unsupervised Feature Learning from Time-Series. WI Workshops 2016: 37-40 - [c169]Zhuofan Yang, Yong Shi:
Scale Expansion and Operations Inefficiency in Pure E-commerce Firms. WI Workshops 2016: 54-57 - [e13]Giorgio A. Ascoli, Michael Hawrylycz, Hesham H. Ali, Deepak Khazanchi, Yong Shi:
Brain Informatics and Health - International Conference, BIH 2016, Omaha, NE, USA, October 13-16, 2016, Proceedings. Lecture Notes in Computer Science 9919, 2016, ISBN 978-3-319-47102-0 [contents] - 2015
- [j139]Xi Zhao, Yong Shi, Lingfeng Niu:
Kernel based simple regularized multiple criteria linear program for binary classification and regression. Intell. Data Anal. 19(3): 505-527 (2015) - [j138]Huadong Wang, Sicong Guo, Seyed Mojtaba Hosseini Bamakan, Yong Shi:
Homeomorphism Problems of Fuzzy Real Number Space and The Space of Bounded Functions with Same Monotonicity on [-1, 1]. Int. J. Comput. Commun. Control 10(6): 129-143 (2015) - [j137]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 14(1): 1-4 (2015) - [j136]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 14(2): 217-220 (2015) - [j135]Feng Liu, Yong Shi, Bo Wang:
World Search Engine IQ Test Based on the Internet IQ Evaluation Algorithms. Int. J. Inf. Technol. Decis. Mak. 14(2): 221-238 (2015) - [j134]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 14(3): 451-454 (2015) - [j133]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 14(5): 943-946 (2015) - [j132]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 14(6): 1167-1170 (2015) - [j131]Dalian Liu, Yong Shi, Yingjie Tian:
Ramp loss nonparallel support vector machine for pattern classification. Knowl. Based Syst. 85: 224-233 (2015) - [j130]Fenhua Li, Jing He, Guangyan Huang, Yanchun Zhang, Yong Shi, Rui Zhou:
Node-coupling clustering approaches for link prediction. Knowl. Based Syst. 89: 669-680 (2015) - [j129]Zhiquan Qi, Yingjie Tian, Yong Shi:
Successive Overrelaxation for Laplacian Support Vector Machine. IEEE Trans. Neural Networks Learn. Syst. 26(4): 674-683 (2015) - [c168]Xin Shen, Lingfeng Niu, Yingjie Tian, Yong Shi:
Alternating Direction Method of Multipliers for Nonparallel Support Vector Machines. ICDM Workshops 2015: 1171-1176 - [c167]Yong Shi, Huadong Wang, Lingfeng Niu:
Large-Scale Linear Support Vector Ordinal Regression Solver. ICDM Workshops 2015: 1177-1184 - [c166]Zhiquan Qi, Yingjie Tian, Lingfeng Niu, Fan Meng, Limeng Cui, Yong Shi:
Pedestrian Detection Using Privileged Information. ICDM Workshops 2015: 1185-1188 - [c165]Bo Wang, Yong Shi, Zhuofan Yang, Xuchan Ju:
An Algebra Description for Hard Clustering. ICDS 2015: 62-69 - [c164]Huadong Wang, Sicong Guo, Yong Shi:
Homeomorphism Between Fuzzy Number Space and the Space of Bounded Functions with Same Monotonicity on [-1, 1]. ICDS 2015: 70-77 - [c163]Fan Meng, Zhiquan Qi, Limeng Cui, Zhensong Chen, Yong Shi:
Supervised Object Boundary Detection Based on Structured Forests. ICDS 2015: 87-94 - [c162]Limeng Cui, Zhiquan Qi, Zhensong Chen, Fan Meng, Yong Shi:
Pavement Distress Detection Using Random Decision Forests. ICDS 2015: 95-102 - [c161]Luiz Flávio Autran Monteiro Gomes, Yong Shi, Raul Colcher, Peter Wolcott, Enrique Herrera-Viedma:
Exploring Data Science in IT and Quantitative Management: Preface for ITQM 2015. ITQM 2015: 1-7 - [c160]Seyed Mojtaba Hosseini Bamakan, Behnam Amiri, Mahboubeh Mirzabagheri, Yong Shi:
A New Intrusion Detection Approach Using PSO based Multiple Criteria Linear Programming. ITQM 2015: 231-237 - [c159]Siqi Yi, Yong Shi, Yibing Chen:
Establishment of China Information Technology Outsourcing Early Warning Index Based on SVR. ITQM 2015: 802-808 - [c158]Man Yuan, Yong Shi:
Text Clustering Based on a Divide and Merge Strategy. ITQM 2015: 825-832 - [c157]Rui Ren, Lingling Zhang, Limeng Cui, Bo Deng, Yong Shi:
Personalized Financial News Recommendation Algorithm Based on Ontology. ITQM 2015: 843-851 - [c156]Benlan He, Hanxu Zhu, Daobin Chen, Yong Shi:
On Pass-through of RMB Exchange Rate to Prices of Different Industries. ITQM 2015: 886-895 - [c155]Zhensong Chen, Zhiquan Qi, Fan Meng, Limeng Cui, Yong Shi:
Image Segmentation via Improving Clustering Algorithms with Density and Distance. ITQM 2015: 1015-1022 - [c154]Zhuofan Yang, Yong Shi, Bo Wang:
Search Engine Marketing, Financing Ability and Firm Performance in E-commerce. ITQM 2015: 1106-1112 - [c153]Zhuofan Yang, Yong Shi:
Analysis on Marketing Ability and Financial Performance in Internet Company. WI-IAT (3) 2015: 52-55 - [e12]Chengqi Zhang, Wei Huang, Yong Shi, Philip S. Yu, Yangyong Zhu, Yingjie Tian, Peng Zhang, Jing He:
Data Science - Second International Conference, ICDS 2015 Sydney, Australia, August 8-9, 2015. Proceedings. Lecture Notes in Computer Science 9208, Springer 2015, ISBN 978-3-319-24473-0 [contents] - [e11]Luiz Flávio Autran Monteiro Gomes, Raul Colcher, Peter Wolcott, Enrique Herrera-Viedma, Yong Shi:
Proceedings of the Third International Conference on Information Technology and Quantitative Management, ITQM 2015, Exploring Data Science in IT and Quantitative Management, Rio De Janeiro, Brazil, July 21-24, 2015. Procedia Computer Science 55, Elsevier 2015 [contents] - [i2]Feng Liu, Yong Shi:
Quantitative Analysis of Whether Machine Intelligence Can Surpass Human Intelligence. CoRR abs/1504.02882 (2015) - [i1]Feng Liu, Yong Shi:
A Study on Artificial Intelligence IQ and Standard Intelligent Model. CoRR abs/1512.00977 (2015) - 2014
- [j128]Zhiquan Qi, Yingjie Tian, Xiaodan Yu, Yong Shi:
A multi-instance learning algorithm based on nonparallel classifier. Appl. Math. Comput. 241: 233-241 (2014) - [j127]Zhiwang Zhang, Guangxia Gao, Jun Yue, Yanqing Duan, Yong Shi:
Multi-criteria optimization classifier using fuzzification, kernel and penalty factors for predicting protein interaction hot spots. Appl. Soft Comput. 18: 115-125 (2014) - [j126]Xiaodan Yu, Yong Shi, Lingling Zhang, Guangli Nie, Anqiang Huang:
Intelligent Knowledge Beyond Data Mining: Influences of Habitual Domains. Commun. Assoc. Inf. Syst. 34: 53 (2014) - [j125]Daji Ergu, Gang Kou, Yong Shi, Yu Shi:
Analytic network process in risk assessment and decision analysis. Comput. Oper. Res. 42: 58-74 (2014) - [j124]Zhiwang Zhang, Guangxia Gao, Yong Shi:
Credit risk evaluation using multi-criteria optimization classifier with kernel, fuzzification and penalty factors. Eur. J. Oper. Res. 237(1): 335-348 (2014) - [j123]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 13(1): 1-4 (2014) - [j122]Yong Shi:
Editor's introduction. Int. J. Inf. Technol. Decis. Mak. 13(2): 227-230 (2014) - [j121]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 13(3): 447-450 (2014) - [j120]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 13(4): 675-678 (2014) - [j119]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 13(5): 879-882 (2014) - [j118]Xi Zhao, Yong Shi, Jongwon Lee, Heung Kee Kim, Heeseok Lee:
Customer Churn Prediction Based on Feature Clustering and Nonparallel Support Vector Machine. Int. J. Inf. Technol. Decis. Mak. 13(5): 1013-1028 (2014) - [j117]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 13(6): 1115-1118 (2014) - [j116]Zhiquan Qi, Yingjie Tian, Yong Shi:
A new classification model using privileged information and its application. Neurocomputing 129: 146-152 (2014) - [j115]Zhiquan Qi, Yingjie Tian, Yong Shi:
A nonparallel support vector machine for a classification problem with universum learning. J. Comput. Appl. Math. 263: 288-298 (2014) - [j114]Hesham H. Ali, Yong Shi, Deepak Khazanchi:
Special Issue on ICCS 2012. J. Comput. Sci. 5(2): 63-64 (2014) - [j113]Daji Ergu, Gang Kou, János Fülöp, Yong Shi:
Further Discussions on Induced Bias Matrix Model for the Pair-Wise Comparison Matrix. J. Optim. Theory Appl. 161(3): 980-993 (2014) - [j112]Zhiquan Qi, Yingjie Tian, Yong Shi:
Regularized multiple-criteria linear programming with universum and its application. Neural Comput. Appl. 24(3-4): 621-628 (2014) - [j111]Dalian Liu, Yingjie Tian, Rongfang Bie, Yong Shi:
Self-Universum support vector machine. Pers. Ubiquitous Comput. 18(8): 1813-1819 (2014) - [j110]Yingjie Tian, Zhiquan Qi, Xuchan Ju, Yong Shi, Xiaohui Liu:
Nonparallel Support Vector Machines for Pattern Classification. IEEE Trans. Cybern. 44(7): 1067-1079 (2014) - [c152]Feng Liu, Yong Shi:
Structure and Operation Mechanism of Internet Virtual Brain. CIT 2014: 903-907 - [c151]Chengcheng Liu, Yong Shi:
Historical Claims Data based Hybrid Predictive Models for Hospitalization. ICCS 2014: 1791-1800 - [c150]Yibing Chen, Yong Shi, Cheng-Few Lee, Minqiang Li, Yuewen Liu:
Measuring and Predicting Systemic Risk in the Chinese Banking System. ICDM Workshops 2014: 55-59 - [c149]Limeng Cui, Fan Meng, Yong Shi, Minqiang Li, An Liu:
A Hierarchy Method Based on LDA and SVM for News Classification. ICDM Workshops 2014: 60-64 - [c148]Bo Wang, Yong Shi, Wayne Wei Huang, Guanfeng Liu:
Misclassification Minimization Based on Multiple Criteria Linear Programming. ICDM Workshops 2014: 88-92 - [c147]Xi Zhao, Zhensong Chen, Yong Shi:
Active Learning with Nonparallel Support Vector Machine for Binary Classification. ICDM Workshops 2014: 101-104 - [c146]Fuad Aleskerov, Yong Shi, Alexander Lepskiy:
IT Development, Big Data and Quantitative Management: Preface for ITQM 2014. ITQM 2014: 1-4 - [c145]Zhiquan Qi, Vassil Alexandrov, Yong Shi, Yingjie Tian:
Parallel Regularized Multiple-criteria Linear Programming. ITQM 2014: 58-65 - [c144]Wei Deng, Rajvardhan Patil, Lotfollah Najjar, Yong Shi, Zhengxin Chen:
Incorporating Community Detection and Clustering Techniques into Collaborative Filtering Model. ITQM 2014: 66-74 - [c143]Limeng Cui, Yong Shi:
A Method based on One-class SVM for News Recommendation. ITQM 2014: 281-290 - [c142]Feng Liu, Yong Shi:
The Search Engine IQ Test based on the Internet IQ Evaluation Algorithm. ITQM 2014: 1066-1073 - [c141]Lingfeng Niu, Xi Zhao, Yong Shi:
A First-Order Decomposition Algorithm for Training Bound-Constrained Support Vector Machines. WI-IAT (1) 2014: 436-441 - [e10]Fuad Aleskerov, Yong Shi, Alexander Lepskiy:
Proceedings of the Second International Conference on Information Technology and Quantitative Management, ITQM 2014, National Research University Higher School of Economics (HSE), Moscow, Russia, June 3-5, 2014. Procedia Computer Science 31, Elsevier 2014 [contents] - 2013
- [j109]Yingjie Tian, Xuchan Ju, Zhiquan Qi, Yong Shi:
Efficient sparse least squares support vector machines for pattern classification. Comput. Math. Appl. 66(10): 1935-1947 (2013) - [j108]Rong Liu, Yong Shi:
Spatial distance join based feature selection. Eng. Appl. Artif. Intell. 26(10): 2597-2607 (2013) - [j107]Juanying Xie, Jinhu Lei, Weixin Xie, Yong Shi, Xiaohui Liu:
Two-stage hybrid feature selection algorithms for diagnosing erythemato-squamous diseases. Health Inf. Sci. Syst. 1(1): 10 (2013) - [j106]Juanying Xie, Kate S. Hone, Weixin Xie, Xinbo Gao, Yong Shi, Xiaohui Liu:
Extending twin support vector machine classifier for multi-category classification problems. Intell. Data Anal. 17(4): 649-664 (2013) - [j105]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 12(1): 1-8 (2013) - [j104]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 12(2): 175-178 (2013) - [j103]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 12(3): 357-360 (2013) - [j102]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 12(4): 647-650 (2013) - [j101]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 12(6): 1091-1094 (2013) - [j100]Zhiquan Qi, Yingjie Tian, Yong Shi:
Structural twin support vector machine for classification. Knowl. Based Syst. 43: 74-81 (2013) - [j99]Zhiquan Qi, Yingjie Tian, Yong Shi:
Efficient railway tracks detection and turnouts recognition method using HOG features. Neural Comput. Appl. 23(1): 245-254 (2013) - [j98]Zhiquan Qi, Yingjie Tian, Yong Shi:
Multi-instance classification based on regularized multiple criteria linear programming. Neural Comput. Appl. 23(3-4): 857-863 (2013) - [j97]Zhiquan Qi, Yingjie Tian, Yong Shi:
Robust twin support vector machine for pattern classification. Pattern Recognit. 46(1): 305-316 (2013) - [j96]Daji Ergu, Gang Kou, Yi Peng, Yong Shi, Yu Shi:
The analytic hierarchy process: task scheduling and resource allocation in cloud computing environment. J. Supercomput. 64(3): 835-848 (2013) - [j95]Liheng Jian, Cheng Wang, Ying Liu, Shenshen Liang, Weidong Yi, Yong Shi:
Parallel data mining techniques on Graphics Processing Unit with Compute Unified Device Architecture (CUDA). J. Supercomput. 64(3): 942-967 (2013) - [c140]Xi Zhao, Lingfeng Niu, Yong Shi:
Kernel Based Simple Regularized Multiple Criteria Linear Programs for Binary Classification. Web Intelligence/IAT Workshops 2013: 58-61 - [c139]Zhiquan Qi, Yingjie Tian, Yong Shi, Xiaodan Yu:
Cost-Sensitive Support Vector Machine for Semi-Supervised Learning. ICCS 2013: 1684-1689 - [c138]Lingfeng Niu, Xi Zhao, Yong Shi:
A Simple Regularized Multiple Criteria Linear Programs for Binary Classification. ICCS 2013: 1690-1699 - [c137]Fang Wang, Peng Zhang, Yanmin Shang, Yong Shi:
The Application of Multiple Criteria Linear Programming in Advertisement Clicking Events Prediction. ICCS 2013: 1720-1729 - [c136]Yibing Chen, Xianhua Wei, Lingling Zhang, Yong Shi:
Sectoral Diversification and the Banks' Return and Risk: Evidence from Chinese Listed Commercial Banks. ICCS 2013: 1737-1746 - [c135]Zhiquan Qi, Yingjie Tian, Xiaodan Yu, Yong Shi:
How to Improve the Quality of Pedestrian Detection Using the Priori Knowledge. ICDM Workshops 2013: 795-799 - [c134]Emma Haddi, Xiaohui Liu, Yong Shi:
The Role of Text Pre-processing in Sentiment Analysis. ITQM 2013: 26-32 - [c133]Chengcheng Liu, Yong Shi:
Scene Image Mosaic Based on Three Freedom Degree. ITQM 2013: 62-69 - [c132]Xi Zhao, Wei Deng, Yong Shi:
Feature Selection with Attributes Clustering by Maximal Information Coefficient. ITQM 2013: 70-79 - [e9]Yong Shi, Youmin Xi, Peter Wolcott, Yingjie Tian, Jianping Li, Daniel Berg, Zhengxin Chen, Enrique Herrera-Viedma, Gang Kou, Heeseok Lee, Yi Peng, Lean Yu:
Proceedings of the First International Conference on Information Technology and Quantitative Management, ITQM 2013, Dushu Lake Hotel, Sushou, China, 16-18 May, 2013. Procedia Computer Science 17, Elsevier 2013 [contents] - 2012
- [j94]Yi Peng, Yong Shi:
Editorial: Multiple criteria decision making and operations research. Ann. Oper. Res. 197(1): 1-4 (2012) - [j93]Daji Ergu, Gang Kou, Yi Peng, Feixiong Li, Yong Shi:
Data Consistency in Emergency Management. Int. J. Comput. Commun. Control 7(3): 450-458 (2012) - [j92]Zhiquan Qi, Yong Shi:
Structural Regular Multiple Criteria Linear Programming for Classification Problem. Int. J. Comput. Commun. Control 7(4): 733-743 (2012) - [j91]Bo Wang, Yong Shi:
Error Correction Method in Classification by Using Multiple-Criteria and Multiple-Constraint Levels Linear Programming. Int. J. Comput. Commun. Control 7(5): 976-989 (2012) - [j90]Nian Yan, Zhengxin Chen, Yong Shi, Zhenyuan Wang:
A non-linear multi-regression model based on the Choquet integral with a quadratic core. Int. J. Granul. Comput. Rough Sets Intell. Syst. 2(3): 244-256 (2012) - [j89]Gang Kou, Yanqun Lu, Yi Peng, Yong Shi:
Evaluation of Classification Algorithms Using MCDM and Rank Correlation. Int. J. Inf. Technol. Decis. Mak. 11(1): 197-225 (2012) - [j88]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 11(1) (2012) - [j87]Antonio Gabriel López-Herrera, Enrique Herrera-Viedma, Manuel J. Cobo, María Ángeles Martínez, Gang Kou, Yong Shi:
A Conceptual Snapshot of the First Decade (2002-2011) of the International Journal of Information Technology & Decision Making. Int. J. Inf. Technol. Decis. Mak. 11(2): 247-270 (2012) - [j86]Yong Shi:
Editor's Introduction - Special Issue: 10th Anniversary of Ijitdm. Int. J. Inf. Technol. Decis. Mak. 11(2) (2012) - [j85]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 11(3): 521-524 (2012) - [j84]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 11(4): 705-708 (2012) - [j83]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 11(5): 875-878 (2012) - [j82]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 11(6): 1031-1032 (2012) - [j81]Peng Zhang, Byron J. Gao, Ping Liu, Yong Shi, Li Guo:
A framework for application-driven classification of data streams. Neurocomputing 92: 170-182 (2012) - [j80]Gang Kou, Yong Shi, Guozhu Dong:
Data mining for software trustworthiness. Inf. Sci. 191: 1-2 (2012) - [j79]Jing He, Yanchun Zhang, Guangyan Huang, Yong Shi, Jie Cao:
Distributed data possession checking for securing multiple replicas in geographically-dispersed clouds. J. Comput. Syst. Sci. 78(5): 1345-1358 (2012) - [j78]Lingfeng Niu, Jianmin Wu, Yong Shi:
Training the max-margin sequence model with the relaxed slack variables. Neural Networks 33: 228-235 (2012) - [j77]Zhiquan Qi, Yingjie Tian, Yong Shi:
Laplacian twin support vector machine for semi-supervised classification. Neural Networks 35: 46-53 (2012) - [j76]Zhiquan Qi, Yingjie Tian, Yong Shi:
Twin support vector machine with Universum data. Neural Networks 36: 112-119 (2012) - [c131]Yingjie Tian, Xuchan Ju, Zhiquan Qi, Yong Shi:
Efficient sparse least squares support vector machines for pattern classification. FSKD 2012: 697-701 - [c130]Juanying Xie, Jinhu Lei, Weixin Xie, Xinbo Gao, Yong Shi, Xiaohui Liu:
Novel Hybrid Feature Selection Algorithms for Diagnosing Erythemato-Squamous Diseases. HIS 2012: 173-185 - [c129]Zhiquan Qi, Yingjie Tian, Yong Shi:
A Simple and Fast Multi-instance Classification via Support Vector Machine. Web Intelligence/IAT Workshops 2012: 1-4 - [c128]Lingfeng Niu, Yong Shi, Jianmin Wu:
Learning Using Privileged Information with L-1 Support Vector Machine. Web Intelligence/IAT Workshops 2012: 10-14 - [c127]Yibing Chen, Lingling Zhang, Yong Shi:
Modeling Return Rate Correlation between Shanghai and Shenzhen Stock Markets Using Copula Function. Web Intelligence/IAT Workshops 2012: 20-24 - [c126]Ye Wang, Caiming Zhang, Guanghua Chen, Yong Shi:
Empirical Research on the Total Factor Productivity of Chinese Software Companies. Web Intelligence/IAT Workshops 2012: 25-29 - [c125]Rajvardhan Patil, Zhengxin Chen, Yong Shi:
Database Keyword Search: A Perspective from Optimization. Web Intelligence/IAT Workshops 2012: 30-33 - [c124]Zhiquan Qi, Yingjie Tian, Yong Shi:
Regular Multiple Criteria Linear Programming for Semi-supervised Classification. ICDM Workshops 2012: 500-505 - [c123]Yong Shi:
China's national personal credit scoring system: a real-life intelligent knowledge application. KDD 2012: 406 - [c122]Hesham H. Ali, Yong Shi, Deepak Khazanchi, Michael Lees, G. Dick van Albada, Jack J. Dongarra, Peter M. A. Sloot:
Empowering Science through Computing, Preface for ICCS 2012. ICCS 2012: 1-6 - [c121]Gang Lv, Bulei Yu, Zhangqi Chen, Zongfang Zhou, Yong Shi:
The Analysis of Peasant Household's Credit Behavior. ICCS 2012: 1228-1233 - [c120]Zhiquan Qi, Yingjie Tian, Yong Shi:
Regularized Multiple Criteria Linear Programming via Linear Programming. ICCS 2012: 1234-1239 - [c119]Lingfeng Niu, Jianmin Wu, Yong Shi:
Entity Disambiguation with Textual and Connection Information. ICCS 2012: 1249-1255 - [c118]Yi Peng, Yong Zhang, Gang Kou, Jun Li, Yong Shi:
Multicriteria Decision Making Approach for Cluster Validation. ICCS 2012: 1283-1291 - [c117]Lingling Zhang, Caifeng Hu, Quan Chen, Yibing Chen, Yong Shi:
Domain Knowledge Based Personalized Recommendation Model and Its Application in Cross-selling. ICCS 2012: 1314-1323 - [c116]Le Yang, Zhongbin Ouyang, Yong Shi:
A Modified Clustering Method Based on Self-Organizing Maps and Its Applications. ICCS 2012: 1371-1379 - [c115]Fang Wang, Yong Shi:
An Improvement of Choosing Map-join Candidates in Hive. ICCS 2012: 2012-2015 - [e8]Hesham H. Ali, Yong Shi, Deepak Khazanchi, Michael Lees, G. Dick van Albada, Jack J. Dongarra, Peter M. A. Sloot:
Proceedings of the International Conference on Computational Science, ICCS 2012, Omaha, Nebraska, USA, 4-6 June, 2012. Procedia Computer Science 9, Elsevier 2012 [contents] - 2011
- [b2]Yong Shi, Yingjie Tian, Gang Kou, Yi Peng, Jianping Li:
Optimization Based Data Mining: Theory and Applications. Advanced Information and Knowledge Processing, Springer 2011, ISBN 978-0-85729-503-3, pp. 1-316 - [j75]Yi Peng, Guoxun Wang, Gang Kou, Yong Shi:
An empirical study of classification algorithm evaluation for financial risk prediction. Appl. Soft Comput. 11(2): 2906-2915 (2011) - [j74]Ruoying Chen, Wenjing Chen, Sixiao Yang, Di Wu, Yong Wang, Yingjie Tian, Yong Shi:
Rigorous assessment and integration of the sequence and structure based features to predict hot spots. BMC Bioinform. 12: 311 (2011) - [j73]Peng Zhang, Xingquan Zhu, Yong Shi, Li Guo, Xindong Wu:
Robust ensemble learning for mining noisy data streams. Decis. Support Syst. 50(2): 469-479 (2011) - [j72]Gang Kou, Yong Shi, Shouyang Wang:
Multiple criteria decision making and decision support systems - Guest editor's introduction. Decis. Support Syst. 51(2): 247-249 (2011) - [j71]Daji Ergu, Gang Kou, Yi Peng, Yong Shi:
A simple method to improve the consistency ratio of the pair-wise comparison matrix in ANP. Eur. J. Oper. Res. 213(1): 246-259 (2011) - [j70]Jingli Liu, Jianping Li, Weixuan Xu, Yong Shi:
A weighted Lq adaptive least squares support vector machine classifiers - Robust and sparse approximation. Expert Syst. Appl. 38(3): 2253-2259 (2011) - [j69]Xiaofei Zhou, Wenhan Jiang, Yong Shi, Yingjie Tian:
Credit risk evaluation with kernel-based affine subspace nearest points learning method. Expert Syst. Appl. 38(4): 4272-4279 (2011) - [j68]Zhenyu Chen, Jianping Li, Liwei Wei, Weixuan Xu, Yong Shi:
Multiple-kernel SVM based multiple-task oriented data mining system for gene expression data analysis. Expert Syst. Appl. 38(10): 12151-12159 (2011) - [j67]Guangli Nie, Wei Rowe, Lingling Zhang, Yingjie Tian, Yong Shi:
Credit card churn forecasting by logistic regression and decision tree. Expert Syst. Appl. 38(12): 15273-15285 (2011) - [j66]Yi Peng, Gang Kou, Guoxun Wang, Wenshuai Wu, Yong Shi:
Ensemble of Software Defect Predictors: an AHP-Based Evaluation Method. Int. J. Inf. Technol. Decis. Mak. 10(1): 187-206 (2011) - [j65]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 10(5) (2011) - [j64]Aihua Li, Yong Shi, Jing He, Yanchun Zhang:
A Fuzzy Linear Programming-Based Classification Method. Int. J. Inf. Technol. Decis. Mak. 10(6): 1161-1174 (2011) - [j63]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 10(6) (2011) - [j62]Dongling Zhang, Yingjie Tian, Yong Shi:
A group of knowledge-incorporated multiple criteria linear programming classifiers. J. Comput. Appl. Math. 235(13): 3705-3717 (2011) - [j61]DongHong Sun, Li Liu, Peng Zhang, Xingquan Zhu, Yong Shi:
Decision Rule Extraction for Regularized Multiple Criteria Linear Programming Model. Int. J. Data Warehous. Min. 7(3): 88-101 (2011) - [j60]Yong Shi:
A conversation with Dr. Yong Shi. SIGKDD Explor. 13(2): 87-88 (2011) - [c114]Yibing Chen, Lingling Zhang, Jun Li, Yong Shi:
Domain Driven Two-Phase Feature Selection Method Based on Bhattacharyya Distance and Kernel Distance Measurements. Web Intelligence/IAT Workshops 2011: 217-220 - [c113]Lingfeng Niu, Yong Shi:
MSSVM: A Modular Solver for Support Vector Machines. Web Intelligence/IAT Workshops 2011: 225-228 - [c112]Zhongbin Ouyang, Yong Shi:
A Fuzzy Clustering Algorithm for Petroleum Data. Web Intelligence/IAT Workshops 2011: 233-236 - [c111]Yibing Chen, Lingling Zhang, Yong Shi:
Post Mining of Multiple Criteria Linear Programming Classification Model for Actionable Knowledge in Credit Card Churning Management. ICDM Workshops 2011: 204-211 - [c110]Lingfeng Niu, Jianmin Wu, Yong Shi:
Entity Resolution with Attribute and Connection Graph. ICDM Workshops 2011: 267-271 - [c109]Warawut Suphamitmongkol, Guangli Nie, Rong Liu, Yong Shi:
Classification for Orange Varieties Using Near Infrared Spectroscopy. ICDM Workshops 2011: 280-285 - [c108]Jianping Li, Shanli Yi, Jichuang Feng, Yong Shi:
Modelling the mitigation impact of insurance in Operational Risk management. ICCS 2011: 1668-1674 - [c107]Yingjie Tian, Yong Shi, Xiaojun Chen, Wenjing Chen:
AUC Maximizing Support Vector Machines with Feature Selection. ICCS 2011: 1691-1698 - [c106]Lingfeng Niu, Jianmin Wu, Yong Shi:
Second-order Mining for Active Collaborative Filtering. ICCS 2011: 1726-1734 - 2010
- [j59]Bachar Zineddin, Zidong Wang, Yong Shi, Yurong Li, Min Du, Xiaohui Liu:
A multi-view approach to cDNA micro-array analysis. Int. J. Comput. Biol. Drug Des. 3(2): 91-111 (2010) - [j58]Yuejin Zhang, Lingling Zhang, Ying Liu, Yong Shi:
Mining intelligent knowledge from a two-phase association rules mining. Int. J. Data Min. Model. Manag. 2(4): 403-419 (2010) - [j57]Yong Shi:
The Research Trend of Information Technology and Decision Making in 2009. Int. J. Inf. Technol. Decis. Mak. 9(1): 1-8 (2010) - [j56]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 9(3): 345-347 (2010) - [j55]Ying Liu, Jianwei Li, Wei-keng Liao, Alok N. Choudhary, Yong Shi:
High Utility Itemsets Mining. Int. J. Inf. Technol. Decis. Mak. 9(6): 905-934 (2010) - [j54]Xiaofei Zhou, Wenhan Jiang, Yingjie Tian, Yong Shi:
Kernel subclass convex hull sample selection method for SVM on face recognition. Neurocomputing 73(10-12): 2234-2246 (2010) - [j53]Zidong Wang, Yurong Liu, Xiaohui Liu, Yong Shi:
Robust state estimation for discrete-time stochastic neural networks with probabilistic measurement delays. Neurocomputing 74(1-3): 256-264 (2010) - [j52]Yong Shi:
Multiple criteria optimization-based data mining methods and applications: a systematic survey. Knowl. Inf. Syst. 24(3): 369-391 (2010) - [j51]Jing He, Yanchun Zhang, Yong Shi, Guangyan Huang:
Domain-Driven Classification Based on Multiple Criteria and Multiple Constraint-Level Programming for Intelligent Credit Scoring. IEEE Trans. Knowl. Data Eng. 22(6): 826-838 (2010) - [j50]Xingquan Zhu, Peng Zhang, Xiaodong Lin, Yong Shi:
Active Learning From Stream Data Using Optimal Weight Classifier Ensemble. IEEE Trans. Syst. Man Cybern. Part B 40(6): 1607-1621 (2010) - [j49]Peng Zhang, Xingquan Zhu, Zhiwang Zhang, Yong Shi:
Multiple criteria programming models for VIP E-Mail behavior analysis. Web Intell. Agent Syst. 8(1): 69-78 (2010) - [c105]Nian Yan, Zhengxin Chen, Yong Shi, Zhenyuan Wang:
A Nonlinear Multiregression Model Based on the Choquet Integral with a Quadratic Core. GrC 2010: 574-579 - [c104]Jing Chu, Zhenyuan Wang, Yong Shi:
Analysis to the Contributions from Feature Attributes in Nonlinear Classification Based on the Choquet Integral. GrC 2010: 677-682 - [c103]Jing Yu, Bin Xu, Yong Shi:
The Domain Knowledge Driven Intelligent Data Auditing Model. Web Intelligence/IAT Workshops 2010: 199-202 - [c102]Lingfeng Niu, Yong Shi:
Using Projection Gradient Method to Train Linear Support Vector Machines. Web Intelligence/IAT Workshops 2010: 207-210 - [c101]Guoxun Wang, Liang Liu, Yi Peng, Guangli Nie, Gang Kou, Yong Shi:
Predicting Credit Card Holder Churn in Banks of China Using Data Mining and MCDM. Web Intelligence/IAT Workshops 2010: 215-218 - [c100]Xiao Wang, Yuehua Zhang, Lingling Zhang, Yong Shi:
A Knowledge Discovery Case Study of Software Quality Prediction: ISBSG Database. Web Intelligence/IAT Workshops 2010: 219-222 - [c99]Guangli Nie, Lingling Zhang, Yuejin Zhang, Wei Deng, Yong Shi:
Find Intelligent Knowledge by Second-Order Mining: Three Cases from China. ICDM Workshops 2010: 1189-1195 - [c98]Lingfeng Niu, Yong Shi:
Semi-supervised PLSA for Document Clustering. ICDM Workshops 2010: 1196-1203 - [c97]Xiaofei Zhou, Yong Shi:
Subspace Distance-Based Sampling Method for SVM. ICDM Workshops 2010: 1289-1296 - [c96]Yu Shi, Gang Kou, Youyuan Li, Guoxun Wang, Yi Peng, Yong Shi:
FMCDM: A fuzzy multi-criteria decision-making hybrid approach to evaluate the damage level of typhoon: Integration of fuzzy AHP and fuzzy TOPSIS. ICIS 2010: 666-671 - [c95]Lingfeng Niu, Yong Shi:
A new training method for sequence data. ICCS 2010: 2391-2396 - [c94]Jing Yu, Bin Xu, Haizhen Yang, Yong Shi:
The strategic asset allocation optimization model of sovereign wealth funds based on maximum CRRA utility & minimum VAR. ICCS 2010: 2433-2440 - [c93]Yuejin Zhang, Peng Zhang, Lingling Zhang, Yong Shi:
Knowledge extraction from multiple criteria linear programming classification approach. ICCS 2010: 2441-2448 - [c92]Xiaofei Zhou, Wenhan Jiang, Yong Shi:
Credit risk evaluation by using nearest subspace method. ICCS 2010: 2449-2455
2000 – 2009
- 2009
- [j48]Yong Shi, Yingjie Tian, Xiaojun Chen, Peng Zhang:
Regularized multiple criteria linear programs for classification. Sci. China Ser. F Inf. Sci. 52(10): 1812-1820 (2009) - [j47]Juliang Zhang, Yong Shi, Peng Zhang:
Several multi-criteria programming methods for classification. Comput. Oper. Res. 36(3): 823-836 (2009) - [j46]Guangli Nie, Lingling Zhang, Ying Liu, Xiuyu Zheng, Yong Shi:
Decision analysis of data mining project based on Bayesian risk. Expert Syst. Appl. 36(3): 4589-4594 (2009) - [j45]Zhiwang Zhang, Yong Shi, Guangxia Gao:
A rough set-based multiple criteria linear programming approach for the medical diagnosis and prognosis. Expert Syst. Appl. 36(5): 8932-8937 (2009) - [j44]Dongling Zhang, Yong Shi, Yingjie Tian, Meihong Zhu:
A class of classification and regression methods by multiobjective programming. Frontiers Comput. Sci. China 3(2): 192-204 (2009) - [j43]Yong Shi:
Current Research Trend: Information Technology and Decision Making in 2008. Int. J. Inf. Technol. Decis. Mak. 8(1): 1-5 (2009) - [j42]Gang Kou, Yi Peng, Zhengxin Chen, Yong Shi:
Multiple criteria mathematical programming for multi-class classification and application in network intrusion detection. Inf. Sci. 179(4): 371-381 (2009) - [c91]Xiaofei Zhou, Yong Shi, Peng Zhang, Guangli Nie, Wenhan Jiang:
A New Classification Method for PCA-Based Face Recognition. BIFE 2009: 445-449 - [c90]Lingling Zhang, Jun Li, Aihua Li, Peng Zhang, Guangli Nie, Yong Shi:
A New Research Field: Intelligent Knowledge Management. BIFE 2009: 450-454 - [c89]Yuejin Zhang, Lingling Zhang, Guangli Nie, Yong Shi:
A Survey of Interestingness Measures for Association Rules. BIFE 2009: 460-463 - [c88]Jing Yu, Bin Xu, Yong Shi:
The Pareto-Frontier Solution to the MultiProject & Multiple Item Stochastic Chance-Constrained Investment Combination. BIFE 2009: 510-513 - [c87]Peng Zhang, Lingling Zhang, Guangli Nie, Yuejin Zhang, Yong Shi:
Transfer Knowledge via Relational K-Means Method. BIFE 2009: 656-659 - [c86]Guoxun Wang, Guangli Nie, Peng Zhang, Yong Shi:
Personal Financial Market Segmentation Based on Clustering Ensembles. CSIE (3) 2009: 694-698 - [c85]Lingling Zhang, Guangli Nie, Yuejin Zhang, Ying Wang, Yong Shi:
A Way to Implement Intelligent Knowledge Push in Knowledge Management System. CSO (1) 2009: 746-749 - [c84]Yong Shi, Shouyang Wang, Xiaotie Deng:
Chairs' Introduction to Workshop on Computational Finance and Business Intelligence. ICCS (2) 2009: 513-514 - [c83]Peng Zhang, Xingquan Zhu, Yong Shi:
Bias-Variance Analysis for Ensembling Regularized Multiple Criteria Linear Programming Models. ICCS (2) 2009: 524-533 - [c82]Yi Peng, Gang Kou, Yong Shi:
Knowledge-Rich Data Mining in Financial Risk Detection. ICCS (2) 2009: 534-542 - [c81]Guangli Nie, Guoxun Wang, Peng Zhang, Yingjie Tian, Yong Shi:
Finding the Hidden Pattern of Credit Card Holder's Churn: A Case of China. ICCS (2) 2009: 561-569 - [c80]Xiaofei Zhou, Yong Shi:
Nearest Neighbor Convex Hull Classification Method for Face Recognition. ICCS (2) 2009: 570-577 - [c79]Lingling Zhang, Qingxi Wang, Jie Wei, Xiao Wang, Yong Shi:
The Measurement of Distinguishing Ability of Classification in Data Mining Model and Its Statistical Significance. ICCS (2) 2009: 578-587 - [c78]Ying Wang, Peng Zhang, Guangli Nie, Yong Shi:
Multiple Criteria Quadratic Programming for Financial Distress Prediction of the Listed Manufacturing Companies. ICCS (2) 2009: 616-624 - [c77]Yuehua Zhang, Peng Zhang, Yong Shi:
Kernel Based Regularized Multiple Criteria Linear Programming Model. ICCS (2) 2009: 625-632 - [c76]Xiaofei Zhou, Wenhan Jiang, Yingjie Tian, Peng Zhang, Guangli Nie, Yong Shi:
A New Kernel-Based Classification Algorithm. ICDM 2009: 1094-1099 - [c75]Xingsen Li, Lingling Zhang, Zhengxiang Zhu, Yong Shi:
Research Challenges and Solutions for the Knowledge Overload with Data Mining. JCAI 2009: 237-240 - [c74]Sung-Hyuk Park, Soon-Young Huh, Peng Zhang, Yong Shi:
A Study on Identifying Essential Hyperplanes for Constructing a Multiclass Classification Model. NCM 2009: 1798-1804 - [c73]Peng Zhang, Xingquan Zhu, Yong Shi, Xindong Wu:
An Aggregate Ensemble for Mining Concept Drifting Data Streams with Noise. PAKDD 2009: 1021-1029 - [r1]Gang Kou, Yi Peng, Yong Shi:
Multiple Criteria Optimization in Data Mining. Encyclopedia of Data Warehousing and Mining 2009: 1386-1389 - 2008
- [j41]Aihua Li, Yong Shi, Jing He:
MCLP-based methods for improving "Bad" catching rate in credit cardholder behavior analysis. Appl. Soft Comput. 8(3): 1259-1265 (2008) - [j40]Yi Peng, Gang Kou, Yong Shi, Zhengxin Chen:
A Multi-criteria Convex Quadratic Programming model for credit data analysis. Decis. Support Syst. 44(4): 1016-1030 (2008) - [j39]Ying Zhang, Lin Chen, Zongfang Zhou, Yong Shi:
A Geometrical Method on Multidimensional Dynamic Credit Evaluation. Int. J. Inf. Technol. Decis. Mak. 7(1): 103-114 (2008) - [j38]Yi Peng, Gang Kou, Yong Shi, Zhengxin Chen:
A Descriptive Framework for the Field of Data Mining and Knowledge Discovery. Int. J. Inf. Technol. Decis. Mak. 7(4): 639-682 (2008) - [j37]Peng Zhang, Zhiwang Zhang, Aihua Li, Yong Shi:
Global and Local (Glocal) Bagging Approach for Classifying Noisy Dataset. Int. J. Softw. Informatics 2(2): 181-197 (2008) - [j36]Jun Li, Lingling Zhang, Yong Shi:
Research on Evaluation Model of Organisational Knowledge Assets. J. Inf. Knowl. Manag. 7(1): 47-54 (2008) - [c72]Yong Shi, Rong Liu, Nian Yan, Zhenxing Chen:
A Family of Optimization Based Data Mining Methods. APWeb 2008: 26-38 - [c71]Zhiwang Zhang, Yong Shi, Guangxia Gao, Yaohui Chai:
An Effective Feature Selection Method Using the Contribution Likelihood Ratio of Attributes for Classification. APWeb Workshops 2008: 165-171 - [c70]Yong Shi:
Towards Solving Dimension Reduction Problems for Multi-Dimensional Data. DMIN 2008: 202-208 - [c69]Yong Shi:
Towards Iteratively Analyzing the Distribution of Multi-Dimensional Data. DMIN 2008: 543-549 - [c68]Yong Shi, Li Zhang:
PanKNN: A Dimension-wise Approach to Similarity Search Problems. DMIN 2008: 555-561 - [c67]Nian Yan, Zhengxin Chen, Yong Shi:
Using k-Interactive Measure in Optimization-Based Data Mining. Web Intelligence/IAT Workshops 2008: 414-419 - [c66]Meihong Zhu, Yong Shi, Aihua Li, Peng Zhang:
A Bias-Variance Analysis of Multiple Criteria Linear Programming Classification Ensembles. Web Intelligence/IAT Workshops 2008: 447-450 - [c65]Yong Shi, Rong Liu, Nian Yan, Zhenxing Chen:
Multiple Criteria Mathematical Programming and Data Mining. ICCS (1) 2008: 7-17 - [c64]Yong Shi, Shouyang Wang, Xiaotie Deng:
Workshop on Computational Finance and Business Intelligence. ICCS (2) 2008: 407 - [c63]Rong Liu, Nian Yan, Yong Shi, Zhengxin Chen:
Bound for the L2 Norm of Random Matrix and Succinct Matrix Approximation. ICCS (2) 2008: 426-435 - [c62]Peng Zhang, Yingjie Tian, Xingsen Li, Zhiwang Zhang, Yong Shi:
Select Representative Samples for Regularized Multiple-Criteria Linear Programming Classification. ICCS (2) 2008: 436-440 - [c61]Nian Yan, Zhengxin Chen, Rong Liu, Yong Shi:
An Optimization-Based Classification Approach with the Non-additive Measure. ICCS (2) 2008: 450-458 - [c60]Ying Zhang, Zongfang Zhou, Yong Shi:
A Selection Method of ETF's Credit Risk Evaluation Indicators. ICCS (2) 2008: 459-465 - [c59]Zhiwang Zhang, Yong Shi, Peng Zhang, Guangxia Gao:
A Rough Set-Based Multiple Criteria Linear Programming Approach for Classification. ICCS (2) 2008: 476-485 - [c58]Xingquan Zhu, Peng Zhang, Xindong Wu, Dan He, Chengqi Zhang, Yong Shi:
Cleansing Noisy Data Streams. ICDM 2008: 1139-1144 - [c57]Abu H. M. Kamal, Xingquan Zhu, Abhijit S. Pandya, Sam Hsu, Yong Shi:
An empirical study of supervised learning for biological sequence profiling and microarray expression data analysis. IRI 2008: 70-75 - [c56]Peng Zhang, Xingquan Zhu, Yong Shi:
Categorizing and mining concept drifting data streams. KDD 2008: 812-820 - [c55]Nian Yan, Yong Shi, Zhengxin Chen:
Multiple Criteria Nonlinear Programming Classification with the Non-additive Measure. MCDM 2008: 289-297 - [p2]Xingsen Li, Jun Li, Yuejin Zhang, Yong Shi:
A Framework of Knowledge Management Platform for Middle and Small Business. Communications and Discoveries from Multidisciplinary Data 2008: 233-248 - [p1]Yi Peng, Gang Kou, Yong Shi, Zhengxin Chen:
Privacy-Preserving Data Mining for Medical Data: Application of Data Partition Methods. Communications and Discoveries from Multidisciplinary Data 2008: 331-340 - [e7]Yoshiharu Ishikawa, Jing He, Guandong Xu, Yong Shi, Guangyan Huang, Chaoyi Pang, Qing Zhang, Guoren Wang:
Advanced Web and NetworkTechnologies, and Applications, APWeb 2008 International Workshops: BIDM, IWHDM, and DeWeb Shenyang, China, April 26-28, 2008. Revised Selected Papers. Lecture Notes in Computer Science 4977, Springer 2008, ISBN 978-3-540-89375-2 [contents] - [e6]Shuichi Iwata, Yukio Ohsawa, Shusaku Tsumoto, Ning Zhong, Yong Shi, Lorenzo Magnani:
Communications and Discoveries from Multidisciplinary Data. Studies in Computational Intelligence 123, Springer 2008, ISBN 978-3-540-78732-7 [contents] - 2007
- [j35]Guoqiang Liu, Zongfang Zhou, Yong Shi:
A multi-dimensional forward selection method for firms' credit sale. Comput. Math. Appl. 54(9-10): 1228-1233 (2007) - [j34]Gang Kou, Yi Peng, Yong Shi, Zhengxin Chen:
Privacy-Preserving Data Mining of Medical Data Using Data Separation-Based Techniques. Data Sci. J. 6: 429-434 (2007) - [j33]Xingsen Li, Yong Shi, Jun Li, Peng Zhang:
Data Mining Consulting Improve Data Quality. Data Sci. J. 6: 658-666 (2007) - [j32]Yong Shi, Jia Wan, Xinyang Zhang, Gang Kou, Yi Peng, Yajun Guo:
Comparison study of two kernel-based learning algorithms for predicting the distance range between antibody interface residues and antigen surface. Int. J. Comput. Math. 84(5): 697-707 (2007) - [j31]Jia Hu, Ning Zhong, Yong Shi:
Developing Mining-Grid Centric E-Finance Portals for Risk Management and Decision Making. Int. J. Pattern Recognit. Artif. Intell. 21(4): 639-658 (2007) - [j30]Yong Shi, Xinyang Zhang, Jia Wan, Yong Wang, Wei Yin, Zhi-Wei Cao, Yajun Guo:
Predicting the distance between antibody's interface residue and antigen to recognize antigen types by support vector machine. Neural Comput. Appl. 16(4-5): 481-490 (2007) - [c54]Jing He, Yanchun Zhang, Guangyan Huang, Yong Shi:
Network Lifetime of Application-Specific Randomly Deployed Wireless Sensor Networks in Arbitrary Sensor Density. ACIS-ICIS 2007: 352-357 - [c53]Jiaxiong Pi, Yong Shi, Zhengxin Chen:
From similarity retrieval to cluster analysis: The case of R*-trees. CIDM 2007: 524-529 - [c52]Haiming Fu, Lingling Zhang, Yong Shi:
The Application of Data Mining in Mobile Subscriber Classification. FSKD (4) 2007: 354-358 - [c51]Meihong Zhu, Yong Shi, Aihua Li, Jing He:
A Dynamic Committee Scheme on Multiple-Criteria Linear Programming Classification Method. International Conference on Computational Science (2) 2007: 401-408 - [c50]Yaohui Chai, Aihua Li, Yong Shi, Jing He, Keliang Zhang:
Kimberlites Identification by Classification Methods. International Conference on Computational Science (2) 2007: 409-414 - [c49]Zhiwang Zhang, Yong Shi:
The Characteristic Analysis of Web User Clusters Based on Frequent Browsing Patterns. International Conference on Computational Science (2) 2007: 490-493 - [c48]Peng Zhang, Juliang Zhang, Yong Shi:
A New Multi-Criteria Quadratic-Programming Linear Classification Model for VIP E-Mail Analysis. International Conference on Computational Science (2) 2007: 499-502 - [c47]Jing Wang, Ying Liu, Lin Zhou, Yong Shi, Xingquan Zhu:
Pushing Frequency Constraint to Utility Mining Model. International Conference on Computational Science (3) 2007: 685-692 - [c46]Zhan Zhang, Yingjie Tian, Yong Shi:
Feature Selection for VIP E-Mail Accounts Analysis. International Conference on Computational Science (3) 2007: 693-700 - [c45]Yi Peng, Gang Kou, Alan Sabatka, Jeff Matza, Zhengxin Chen, Deepak Khazanchi, Yong Shi:
Application of Classification Methods to Individual Disability Income Insurance Fraud Detection. International Conference on Computational Science (3) 2007: 852-858 - [c44]Gang Kou, Yi Peng, Yong Shi, Zhengxin Chen:
epsilon-Support Vector and Large-Scale Data Mining Problems. International Conference on Computational Science (3) 2007: 874-881 - [c43]Xingsen Li, Lingling Zhang, Maoliang Ding, Yong Shi, Jun Li:
A Combined Web Mining Model and Its Application in Crisis Management. International Conference on Computational Science (3) 2007: 906-910 - [c42]Guoqiang Liu, Zongfang Zhou, Xinmin Song, Yong Shi:
A Fuzzy Comprehensive Evaluation Method on Firms' Credit Sale Risk. International Conference on Computational Science (3) 2007: 1062-1068 - [c41]Jing He, Guangyan Huang, Yanchun Zhang, Yong Shi:
Cluster Analysis and Optimization in Color-Based Clustering for Image Abstract. ICDM Workshops 2007: 213-218 - [c40]Rong Liu, Yong Shi:
Succinct Matrix Approximation and Efficient k-NN Classification. ICDM 2007: 213-222 - [c39]Yong Shi, Yingjie Tian, Xiaojun Chen, Peng Zhang:
A Regularized Multiple Criteria Linear Program for Classification. ICDM Workshops 2007: 253-258 - [c38]Lin Zhou, Ying Liu, Jing Wang, Yong Shi:
Utility-Based Web Path Traversal Pattern Mining. ICDM Workshops 2007: 373-380 - [c37]Xingquan Zhu, Peng Zhang, Xiaodong Lin, Yong Shi:
Active Learning from Data Streams. ICDM 2007: 757-762 - [c36]Xingquan Zhu, Xindong Wu, Taghi M. Khoshgoftaar, Yong Shi:
An Empirical Study of the Noise Impact on Cost-Sensitive Learning. IJCAI 2007: 1168-1174 - [c35]Jing He, Yanchun Zhang, Yong Shi:
A Multi-criteria Decision Support System of Water Resource Allocation Scenarios. KSEM 2007: 593-598 - [e5]Yong Shi, G. Dick van Albada, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2007, 7th International Conference Beijing, China, May 27-30, 2007, Proceedings, Part I. Lecture Notes in Computer Science 4487, Springer 2007, ISBN 978-3-540-72583-1 [contents] - [e4]Yong Shi, G. Dick van Albada, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27 - 30, 2007, Proceedings, Part II. Lecture Notes in Computer Science 4488, Springer 2007, ISBN 978-3-540-72585-5 [contents] - [e3]Yong Shi, G. Dick van Albada, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27 - 30, 2007, Proceedings, Part III. Lecture Notes in Computer Science 4489, Springer 2007, ISBN 978-3-540-72587-9 [contents] - [e2]Yong Shi, G. Dick van Albada, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27 - 30, 2007, Proceedings, Part IV. Lecture Notes in Computer Science 4490, Springer 2007, ISBN 978-3-540-72589-3 [contents] - 2006
- [j29]Wikil Kwak, Yong Shi, Susan W. Eldridge, Gang Kou:
Bankruptcy prediction for Japanese firms: using Multiple Criteria Linear Programming data mining approach. Int. J. Bus. Intell. Data Min. 1(4): 401-416 (2006) - [j28]Lingling Zhang, Yong Shi, Xinhua Yang:
Association-rule knowledge discovery by using a fuzzy mining approach. Int. J. Bus. Intell. Data Min. 1(4): 417-429 (2006) - [j27]Yong Shi:
Special Issue for Xiangshan Sciences Forum on Frontier Studies on Data Technology and Knowledge Economy. Int. J. Inf. Technol. Decis. Mak. 5(4): 583-584 (2006) - [j26]Siwei Cheng, Ruwei Dai, Weixuan Xu, Yong Shi:
Research on Data Mining and Knowledge Management and its Applications in China's Economic Development: Significance and Trend. Int. J. Inf. Technol. Decis. Mak. 5(4): 585-596 (2006) - [j25]Jing He, Xikang Chen, Yong Shi:
A Dynamic Approach to Calculate Shadow Prices of Water Resources for Nine Major Rivers in China. J. Syst. Sci. Complex. 19(1): 76-87 (2006) - [c34]Jiaxiong Pi, Yong Shi, Zhengxin Chen:
Evaluation of Cluster Analysis Algorithms Enhanced by Using R*-Trees. AICCSA 2006: 600-607 - [c33]Jia Hu, Ning Zhong, Yong Shi:
Developing Grid-based E-finance Portals for Intelligent Risk Management and Decision Making. AMT 2006: 58-66 - [c32]Nian Yan, Zhenyuan Wang, Yong Shi, Zhengxin Chen:
Nonlinear Classification by Linear Programming with Signed Fuzzy Measures. FUZZ-IEEE 2006: 408-413 - [c31]Tai-yong Mou, Zongfang Zhou, Yong Shi:
Credit Risk Evaluation Based on LINMAP. International Conference on Computational Science (4) 2006: 452-459 - [c30]Gang Kou, Yi Peng, Yong Shi, Zhengxin Chen:
A New Multi-criteria Convex Quadratic Programming Model for Credit Analysis. International Conference on Computational Science (4) 2006: 476-484 - [c29]Gang Kou, Yi Peng, Yong Shi, Zhengxin Chen:
Multiclass Credit Cardholders' Behaviors Classification Methods. International Conference on Computational Science (4) 2006: 485-492 - [c28]Jing He, Wuyi Yue, Yong Shi:
Pattern Recognition for MCNs Using Fuzzy Linear Programming. International Conference on Computational Science (4) 2006: 509-516 - [c27]Yi Peng, Gang Kou, Yong Shi, Zhengxin Chen:
A Systemic Framework for the Field of Data Mining and Knowledge Discovery. ICDM Workshops 2006: 395-399 - [c26]Gang Kou, Yi Peng, Yong Shi, Zhengxin Chen:
Network Intrusion Detection by Multi-group Mathematical Programming based Classifier. ICDM Workshops 2006: 803-807 - [c25]Xingsen Li, Yong Shi, Ying Liu, Jun Li, Aihua Li:
A Knowledge Management Platform for Optimization-based Data Mining. ICDM Workshops 2006: 833-837 - [c24]Yi Peng, Gang Kou, Yong Shi, Zhengxin Chen:
A Hybrid Strategy for Clustering Data Mining Documents. ICDM Workshops 2006: 838-842 - [c23]Guangli Nie, Lingling Zhang, Xingsen Li, Yong Shi:
The Analysis on the Customers Churn of Charge Email Based on Data Mining Take One Internet Company for Example. ICDM Workshops 2006: 843-847 - [c22]Yi Peng, Yong Shi, Xingsen Li, Zhengxin Chen, Gang Kou:
E-Business Intelligence Via MCMP-Based Data Mining Methods. WImBI 2006: 443-453 - 2005
- [j24]Gang Kou, Yi Peng, Yong Shi, Morgan Wise, Weixuan Xu:
Discovering Credit Cardholders' Behavior by Multiple Criteria Linear Programming. Ann. Oper. Res. 135(1): 261-274 (2005) - [j23]Yong Shi, Yi Peng, Gang Kou, Zhengxin Chen:
Classifying Credit Card Accounts for Business Intelligence and Decision Making: a Multiple-criteria Quadratic Programming Approach. Int. J. Inf. Technol. Decis. Mak. 4(4): 581-600 (2005) - [j22]Yong Shi, Yuqing Song, Aidong Zhang:
A Shrinking-Based Clustering Approach for Multidimensional Data. IEEE Trans. Knowl. Data Eng. 17(10): 1389-1403 (2005) - [c21]Yi Peng, Gang Kou, Yong Shi, Zhengxin Chen:
Using Optimization-Based Classification Method for Massive Datasets. AMCIS 2005: 110 - [c20]Lingling Zhang, Yong Shi, Xinhua Yang:
A Fuzzy Mining Algorithm for Association-Rule Knowledge Discovery. AMCIS 2005: 121 - [c19]Yi Peng, Nian Yan, Gang Kou, Zhengxin Chen, Yong Shi:
Document Clustering in Antimicrobial Peptides Research. AMCIS 2005: 331 - [c18]Mengjun Wang, Jialin Zheng, Zhengxin Chen, Yong Shi:
Classification Methods for HIV-1 Medicated Neuronal Damage. CSB Workshops 2005: 31-32 - [c17]Jiaxiong Pi, Yong Shi, Zhengxin Chen:
Similarity and cluster analysis algorithms for Microarrays using R trees. CSB Workshops 2005: 91-92 - [c16]Wei Yin, Qing Yang, Shaoyuan Yao, Yong Shi:
Hierarchical Clustering Analysis from Genomic Dataset. IAT 2005: 759-762 - [c15]Jianping Li, Weixuan Xu, Yong Shi:
Credit Scoring via PCALWM. International Conference on Computational Science (3) 2005: 531-538 - [c14]Yi Peng, Gang Kou, Yong Shi, Zhengxin Chen:
Improving Clustering Analysis for Credit Card Accounts Classification. International Conference on Computational Science (3) 2005: 548-553 - [c13]Aihua Li, Yong Shi:
An Integrated Classification Method: Combination of LP and LDA. WINE 2005: 758-767 - [c12]Lingling Zhang, Jun Li, Yong Shi:
Study on Improving Efficiency of Knowledge Sharing in Knowledge-Intensive Organization. WINE 2005: 816-825 - 2004
- [j21]Jing He, Xiantao Liu, Yong Shi, Weixuan Xu, Nian Yan:
Classifications Of Credit Cardholder Behavior By Using Fuzzy Linear Programming. Int. J. Inf. Technol. Decis. Mak. 3(4): 633-650 (2004) - [j20]Jialin Zheng, Wei Zhuang, Nian Yan, Gang Kou, Hui Peng, Clancy McNally, David Erichsen, Abby Cheloha, Shelley Herek, Chris Shi, Yong Shi:
Classification of HIV-I-Mediated neuronal dendritic and synaptic damage using multiple criteria linear programming. Neuroinformatics 2(3): 303-326 (2004) - [c11]Zhenyuan Wang, Hai-Feng Guo, Yong Shi, Kwong-Sak Leung:
A Hybrid Nonlinear Classifier Based on Generalized Choquet Integrals. CASDMKM 2004: 34-40 - [c10]Jingli Liu, Jianping Li, Weixuan Xu, Yong Shi:
Data Mining Approach in Scientific Research Organizations Evaluation Via Clustering. CASDMKM 2004: 128-134 - [c9]Gang Kou, Yi Peng, Yong Shi, Zhengxin Chen, Xiaojun Chen:
A Multiple-Criteria Quadratic Programming Approach to Network Intrusion Detection. CASDMKM 2004: 145-153 - [c8]Jing He, Yong Shi, Weixuan Xu:
Classifications of Credit Cardholder Behavior by Using Multiple Criteria Non-linear Programming. CASDMKM 2004: 154-163 - [c7]Wikil Kwak, Yong Shi, John J. Cheh, Heeseok Lee:
Multiple Criteria Linear Programming Data Mining Approach: An Application for Bankruptcy Prediction. CASDMKM 2004: 164-173 - [c6]Zongfang Zhou, Xiaowo Tang, Yong Shi:
A Multi-factors Evaluation Method on Credit Evaluation of Commerce Banks. CASDMKM 2004: 229-232 - [c5]Priyanka Dubey, Zhengxin Chen, Yong Shi:
Using Branch-Grafted R-trees for Spatial Data Mining. International Conference on Computational Science 2004: 657-660 - [c4]Jianping Li, Jingli Liu, Weixuan Xu, Yong Shi:
Support Vector Machines Approach to Credit Assessment. International Conference on Computational Science 2004: 892-899 - [c3]Yi Peng, Gang Kou, Zhengxin Chen, Yong Shi:
Cross-Validation and Ensemble Analyses on Multiple-Criteria Linear Programming Classification for Credit Cardholder Behavior. International Conference on Computational Science 2004: 931-939 - [e1]Yong Shi, Weixuan Xu, Zhengxin Chen:
Data Mining and Knowledge Management, Chinese Academy of Sciences Symposium, CASDMKM 2004, Beijing, China, July 12-14, 2004, Revised Papers. Lecture Notes in Computer Science 3327, Springer 2004, ISBN 3-540-23987-1 [contents] - 2003
- [j19]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 2(1): 1-4 (2003) - [j18]Gang Kou, Xiantao Liu, Yi Peng, Yong Shi, Morgan Wise, Weixuan Xu:
Multiple criteria linear programming approach to data mining: Models, algorithm designs and software development. Optim. Methods Softw. 18(4): 453-473 (2003) - [c2]Jialin Zheng, David Erichsen, Clancy Williams, Hui Peng, Gang Kou, Chris Shi, Yong Shi:
Classifications of Neural Dendritic and Synaptic Damage Resulting from HIV-1-associated Dementia: A Multiple Criteria Linear Programming Approach. HICSS 2003: 276 - [c1]Gang Kou, Yi Peng, Yong Shi, Weixuan Xu:
A Set of Data Mining Models to Classify Credit Cardholder Behavior. International Conference on Computational Science 2003: 54-63 - 2002
- [b1]Chongfu Huang, Yong Shi:
Towards Efficient Fuzzy Information Processing - Using the Principle of Information Diffusion. Studies in Fuzziness and Soft Computing 99, Springer 2002, ISBN 978-3-7908-2511-4, pp. 3-363 - [j17]Yihua Zhong, Yong Shi:
Duality in fuzzy multi-criteria and multi-constraint level linear programming: a parametric approach. Fuzzy Sets Syst. 132(3): 335-346 (2002) - [j16]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 1(1): 1-3 (2002) - [j15]Yong Shi, Yi Peng, Weixuan Xu, Xiaowo Tang:
Data Mining via Multiple Criteria Linear Programming: Applications in Credit Card Portfolio Management. Int. J. Inf. Technol. Decis. Mak. 1(1): 131-151 (2002) - [j14]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 1(2): 177-179 (2002) - [j13]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 1(4): 573-576 (2002) - 2001
- [j12]Heeseok Lee, Yong Shi, Sufi M. Nazem, Sung Yeol Kang, Taeho Park, Myung Ho Sohn:
Multicriteria hub decision making for rural area telecommunication networks. Eur. J. Oper. Res. 133(3): 483-495 (2001) - [j11]Yong Shi, Wikil Kwak, Heeseok Lee, Cheng-Few Lee:
Capital Budgeting with Multiple Criteria and Multiple Decision Makers: A Fuzzy Approach. J. Adv. Comput. Intell. Intell. Informatics 5(3): 139-148 (2001)
1990 – 1999
- 1999
- [j10]Heeseok Lee, Jongwon Lee, Sufi M. Nazem, Yong Shi, Justin Stolen:
Managing user performance for a corporate network. Inf. Manag. 35(5): 251-263 (1999) - [j9]Yong Shi:
Optimal System Design with Multiple Decision Makers and Possible Debt: A Multicriteria De Novo Programming Approach. Oper. Res. 47(5): 723-729 (1999) - 1998
- [j8]Yong Shi:
Optimal system design with MC2 linear programming: A dual contingency plan approach. Eur. J. Oper. Res. 107(3): 692-709 (1998) - 1997
- [j7]Yong Shi, Heeseok Lee:
A binary integer linear program with multi-criteria and multi-constraint levels. Comput. Oper. Res. 24(3): 259-273 (1997) - 1996
- [j6]Heeseok Lee, Yong Shi, Sufi M. Nazem:
Supporting rural telecommunications: A compromise solutions approach. Ann. Oper. Res. 68(1): 33-45 (1996) - [j5]Yong Shi, Pamela Specht, Justin Stolen:
A consensus ranking for information system requirements. Inf. Manag. Comput. Secur. 4(1): 10-18 (1996) - 1994
- [j4]Yong Shi, Po Lung Yu, Changqing Zhang, Dazhi Zhang:
A computer-aided system for linear production designs. Decis. Support Syst. 12(2): 127-149 (1994) - [j3]Heeseok Lee, Yong Shi, Justin Stolen:
Allocating data files over a wide area network: Goal setting and compromise design. Inf. Manag. 26(2): 85-93 (1994) - 1992
- [j2]Yong Shi, Po-Lung Yu:
Selecting optimal linear production systems in multiple criteria environments. Comput. Oper. Res. 19(7): 585-608 (1992) - [j1]Ferenc Gyetvàn, Yong Shi:
Weak duality theorem and complementary slackness theorem for linear matrix programming problems. Oper. Res. Lett. 11(4): 249-253 (1992)
Coauthor Index
[j275] [e21] [j217] [j201] [j178] [j174] [j125] [j113] [j96] [e9] [j93] [j89] [j87] [j80] [c118] [b2] [j75] [j72] [j71] [j66] [c101] [c96] [j42] [c82] [r1] [j40] [j38] [p1] [j34] [j32] [c45] [c44] [j29] [c30] [c29] [c27] [c26] [c24] [c22] [j24] [j23] [c21] [c19] [c14] [j20] [c9] [c3] [j18] [c2] [c1]
[j281] [j273] [j272] [j261] [j258] [j250] [j242] [j238] [c219] [c218] [j225] [j224] [c211] [i14] [j199] [j184] [j182] [j181] [c208] [c199] [j166] [j165] [c195] [c188] [c184] [i7] [i5] [j152] [c179] [c178] [c174] [c170] [j139] [c168] [c167] [c166] [c141] [c140] [c138] [j78] [c128] [c119] [c113] [c110] [c106] [c102] [c98] [c95]
[j263] [j257] [j256] [j241] [j240] [j228] [j227] [c215] [i15] [j207] [j206] [j204] [j203] [c210] [i13] [i12] [j183] [j180] [c203] [c201] [i11] [i10] [j169] [j166] [c194] [c183] [j155] [j153] [j142] [j129] [c166] [c163] [c162] [c155] [j128] [j116] [j115] [j112] [j110] [c145] [j109] [j100] [j99] [j98] [j97] [c139] [c135] [j92] [j77] [j76] [c131] [c129] [c124] [c120]
[j278] [j259] [j257] [j241] [e22] [j206] [j204] [c201] [i11] [j168] [j166] [e18] [e17] [e16] [e15] [j152] [e14] [j145] [j144] [j143] [c172] [j131] [j129] [c168] [c166] [e12] [j128] [j116] [j115] [j112] [j111] [j110] [c145] [j109] [j100] [j99] [j98] [j97] [c139] [c135] [e9] [j77] [j76] [c131] [c129] [c124] [c120] [b2] [j74] [j69] [j67] [j62] [c107] [j54] [j48] [j44] [c81] [c76] [c62] [c46] [c39]
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