Google
Google Scholar
Semantic Scholar
MS Academic
CiteSeerX
ORCIDYong Shi
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2021
[j241]Yong Shi
, Yiren Hu, Baoquan Liu:
High Performance Flexible Structure Three-Level DC-DC Converter: A Candidate DC Interface for Microgrids With Distributed Energy Resources. IEEE Access 9: 1032-1043 (2021)- [j240]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) - [j239]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) - 2020
- [j238]Zhongxian Wang, Yong Shi, Tao Meng:
Study on Novel Bidirectional AC-DC Converter Circuit of the Wireless Charging for Portable Devices. IEEE Access 8: 198091-198100 (2020) - [j237]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) - [j236]Yong Shi, Jiahong Wen, Jianchao Xi, Hui Xu, Xinmeng Shan, Qian Yao:
A Study on Spatial Accessibility of the Urban Tourism Attraction Emergency Response under the Flood Disaster Scenario. Complex. 2020: 9031751:1-9031751:9 (2020) - [j235]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) - [j234]Yong Shi, Yanjie Zhou, Toufik Boudouh, Olivier Grunder:
A lexicographic-based two-stage algorithm for vehicle routing problem with simultaneous pickup-delivery and time window. Eng. Appl. Artif. Intell. 95: 103901 (2020) - [j233]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) - [j232]Zhensong Chen, Wei Chen, Yong Shi:
Ensemble learning with label proportions for bankruptcy prediction. Expert Syst. Appl. 146: 113155 (2020) - [j231]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 19(1): 1-4 (2020) - [j230]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 19(2): 361-364 (2020) - [j229]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 19(3): 649-651 (2020) - [j228]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 19(4): 959-961 (2020) - [j227]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 19(5): 1173-1176 (2020) - [j226]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 19(6): 1425-1427 (2020) - [j225]Huihui Zhang, Pingping Nie, Yongzheng Sun, Yong Shi:
Fixed-time flocking problem of a Cucker-Smale type self-propelled particle model. J. Frankl. Inst. 357(11): 7054-7068 (2020) - [j224]Fan Meng, Zhiquan Qi, Zhensong Chen, Bo Wang, Yong Shi:
Token based crack detection. J. Intell. Fuzzy Syst. 38(3): 3501-3513 (2020) - [j223]Yong Shi, Zhao Lv, Ning Bi, Chao Zhang:
An improved SIFT algorithm for robust emotion recognition under various face poses and illuminations. Neural Comput. Appl. 32(13): 9267-9281 (2020) - [j222]Yong Shi, Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian:
Deep learning from label proportions with labeled samples. Neural Networks 128: 73-81 (2020) - [j221]Ruijie Zhao, Yue Yin, Yong Shi, Zhi Xue:
Intelligent intrusion detection based on federated learning aided long short-term memory. Phys. Commun. 42: 101157 (2020) - [j220]Haibo Yang, Chaofan Xi, Xincan Zhao, Penglei Mao, Zongmin Wang, Yong Shi, Tian He, Zhenhong Li:
Measuring the Urban Land Surface Temperature Variations Under Zhengzhou City Expansion Using Landsat-Like Data. Remote. Sens. 12(5): 801 (2020) - [j219]Yunwang Li, Shirong Ge, Sumei Dai, Lala Zhao, Xucong Yan, Yuwei Zheng, Yong Shi:
Kinematic Modeling of a Combined System of Multiple Mecanum-Wheeled Robots with Velocity Compensation. Sensors 20(1): 75 (2020) - [j218]Yong Shi, Wenzhong Shi, Xintao Liu, Xianjian Xiao:
An RSSI Classification and Tracing Algorithm to Improve Trilateration-Based Positioning. Sensors 20(15): 4244 (2020) - [d1]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) - [j217]Zhiquan Qi, Yingjie Tian, Yong Shi, Vassil N. Alexandrov:
Parallel RMCLP Classification Algorithm and Its Application on the Medical Data. IEEE Trans. Cloud Comput. 8(2): 532-538 (2020) - [j216]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) - [j215]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) - [j214]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) - [j213]Wei Deng, Yong Shi, Zhengxin Chen, Wikil Kwak, Huimin Tang:
Recommender system for marketing optimization. World Wide Web 23(3): 1497-1517 (2020) - [c264]Nusrat Asrafi, Dan Chia-Tien Lo, Reza M. Parizi, Yong Shi, Yu-Wen Chen:
Comparing Performance of Malware Classification on Automated Stacking. ACM Southeast Regional Conference 2020: 307-308 - [c263]Jie Yang, Zhiquan Qi, Yong Shi:
Learning to Incorporate Structure Knowledge for Image Inpainting. AAAI 2020: 12605-12612 - [c262]Daniel Brown, Yong Shi:
A Distributed Density-Grid Clustering Algorithm for Multi-Dimensional Data. CCWC 2020: 1-8 - [c261]Arialdis Japa, Yong Shi:
Parallelizing the Bounded K-Nearest Neighbors Algorithm for Distributed Computing Systems. CCWC 2020: 38-45 - [c260]Kun Suo, Yong Shi, Xiaohua Xu, Dazhao Cheng, Wei Chen:
Tackling Cold Start in Serverless Computing with Container Runtime Reusing. NAI@SIGCOMM 2020: 54-55 - [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] - [i14]Jie Yang, Zhiquan Qi, Yong Shi:
Learning to Incorporate Structure Knowledge for Image Inpainting. CoRR abs/2002.04170 (2020) - [i13]Jie Yang, Yong Shi, Zhiquan Qi:
DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation. CoRR abs/2012.07122 (2020)
2010 – 2019
- 2019
- [j212]Yong Shi, Minglong Lei, Rongrong Ma, Lingfeng Niu:
Learning Robust Auto-Encoders With Regularizer for Linearity and Sparsity. IEEE Access 7: 17195-17206 (2019) - [j211]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) - [j210]Huimin Tang, Yong Shi, Peiwu Dong:
Public blockchain evaluation using entropy and TOPSIS. Expert Syst. Appl. 117: 204-210 (2019) - [j209]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) - [j208]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 18(1): 1-5 (2019) - [j207]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 18(2): 413-417 (2019) - [j206]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 18(3): 743-746 (2019) - [j205]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 18(4): 1083-1086 (2019) - [j204]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) - [j203]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) - [j202]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 18(5): 1463-1467 (2019) - [j201]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 18(6): 1751-1754 (2019) - [j200]Yong Shi, Yunlong Mi, Jinhai Li, Wenqi Liu:
Concurrent concept-cognitive learning model for classification. Inf. Sci. 496: 65-81 (2019) - [j199]Qiannan Zhu, Xiaofei Zhou, Peng Zhang, Yong Shi:
A neural translating general hyperplane for knowledge graph embedding. J. Comput. Sci. 30: 108-117 (2019) - [j198]Sergey V. Kovalchuk, Valeria V. Krzhizhanovskaya, Yong Shi, Haohuan Fua, 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) - [j197]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) - [j196]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) - [j195]Yong Shi, Jianyu Miao, Lingfeng Niu:
Feature selection with MCP $$^2$$ 2 regularization. Neural Comput. Appl. 31(10): 6699-6709 (2019) - [j194]Yong Shi, Minglong Lei, Hong Yang, Lingfeng Niu:
Diffusion network embedding. Pattern Recognit. 88: 518-531 (2019) - [j193]Zhensong Chen, Yong Shi, Zhiquan Qi:
Constrained matrix factorization for semi-weakly learning with label proportions. Pattern Recognit. 91: 13-24 (2019) - [j192]Yifan Xu, Boqiang Qin, Guangwei Zhu, Yunlin Zhang, Kun Shi, Yunmei Li, Yong Shi, Liangang Chen:
High Temporal Resolution Monitoring of Suspended Matter Changes from GOCI Measurements in Lake Taihu. Remote. Sens. 11(8): 985 (2019) - [j191]Yunwang Li, Sumei Dai, Yong Shi, Lala Zhao, Minghua Ding:
Navigation Simulation of a Mecanum Wheel Mobile Robot Based on an Improved A* Algorithm in Unity3D. Sensors 19(13): 2976 (2019) - [j190]Yunwang Li, Sumei Dai, Lala Zhao, Xucong Yan, Yong Shi:
Topological Design Methods for Mecanum Wheel Configurations of an Omnidirectional Mobile Robot. Symmetry 11(10): 1268 (2019) - [c259]Daniel Brown, Arialdis Japa, Yong Shi:
An Attempt at Improving Density-based Clustering Algorithms. ACM Southeast Regional Conference 2019: 172-175 - [c258]Zhengwu Sun, Dan Chia-Tien Lo, Yong Shi:
Big Data Analysis on Social Networking. BigData 2019: 6220-6222 - [c257]Daniel Brown, Arialdis Japa, Yong Shi:
A Fast Density-Grid Based Clustering Method. CCWC 2019: 48-54 - [c256]Feng Liu, Ying Liu, Yong Shi:
Evolution of the Internet Architecture, from Network Model to Internet Brain Model. FSDM 2019: 1051-1056 - [c255]Yong Shi, Yang Xiao, Lingfeng Niu:
A Brief Survey of Relation Extraction Based on Distant Supervision. ICCS (3) 2019: 293-303 - [c254]Wei Deng, Nan Xu, Haotian Li, Fangyao Liu, Yong Shi:
Difference in Differences in Marketing Performance Measurement. ITQM 2019: 275-280 - [c253]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 - [c252]Fangyao Liu, Yuejin Zhang, Haotian Li, Chen Zhang, Wei Deng, Yong Shi:
Meta-analysis of Peer Effects on Smart Cities. ITQM 2019: 873-877 - [c251]Yi Qu, Pei Quan, Minglong Lei, Yong Shi:
Review of bankruptcy prediction using machine learning and deep learning techniques. ITQM 2019: 895-899 - [c250]Biao Li, Yong Shi, Sujuan Li, Bo Wang, Zhiquan Qi, Jiabin Liu:
A Novel Texture Generation Super Resolution Model. ITQM 2019: 924-931 - [c249]Yong Shi, Pei Quan:
Big Data Analysis: Theory and Applications. LSSC 2019: 15-27 - [c248]Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian, Yong Shi:
Learning from Label Proportions with Generative Adversarial Networks. NeurIPS 2019: 7167-7177 - [c247]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 - [c246]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] - [i12]Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian, Yong Shi:
Learning from Label Proportions with Generative Adversarial Networks. CoRR abs/1909.02180 (2019) - [i11]Biao Li, Jiabin Liu, Bo Wang, Zhiquan Qi, Yong Shi:
s-LWSR: Super Lightweight Super-Resolution Network. CoRR abs/1909.10774 (2019) - 2018
- [j189]Yong Shi, Toufik Boudouh, Olivier Grunder, Deyun Wang:
Modeling and solving simultaneous delivery and pick-up problem with stochastic travel and service times in home health care. Expert Syst. Appl. 102: 218-233 (2018) - [j188]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 17(1): 1-6 (2018) - [j187]Yong Shi, Gang Kou:
In Memoriam of Thomas Saaty. Int. J. Inf. Technol. Decis. Mak. 17(1): 7-8 (2018) - [j186]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 17(2): 387-390 (2018) - [j185]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 17(3): 705-708 (2018) - [j184]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 17(4): 969-972 (2018) - [j183]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) - [j182]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 17(5): 1299-1303 (2018) - [j181]Yong Shi:
Editor's Introduction. Int. J. Inf. Technol. Decis. Mak. 17(6): 1607-1610 (2018) - [j180]Zhiwang Zhang, Guangxia Gao, Jun Yue, Yong Shi:
Sparse feature kernel multi-criteria linear programming classifier. Neurocomputing 305: 104-115 (2018) - [j179]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) - [j178]Yong Shi, Jiabin Liu, Zhiquan Qi, Bo Wang:
Learning from label proportions on high-dimensional data. Neural Networks 103: 9-18 (2018) - [j177]Yong Shi, Gong Chen, Juntao Li:
Malicious Domain Name Detection Based on Extreme Machine Learning. Neural Process. Lett. 48(3): 1347-1357 (2018) - [j176]Dalian Liu, Dewei Li, Yong Shi, Yingjie Tian:
Large-scale linear nonparallel SVMs. Soft Comput. 22(6): 1945-1957 (2018) - [j175]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) - [j174]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) - [j173]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) - [j172]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) - [c245]Yong Shi:
An attempt to analyze data distribution for abnormal behaviors. CCWC 2018: 275-280 - [c244]Liu Feng, Fangyao Liu, Yong Shi:
City Brain, a New Architecture of Smart City Based on the Internet Brain. CSCWD 2018: 624-629 - [c243]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 - [c242]Yong Shi, Yuanchun Zheng, Kun Guo, Wei Li, Luyao Zhu:
Word Similarity Fails in Multiple Sense Word Embedding. ICCS (2) 2018: 489-498 - [c241]Minglong Lei, Yong Shi, Peijia Li, Lingfeng Niu:
Deep Streaming Graph Representations. ICCS (3) 2018: 512-518 - [c240]Biao Li, Yong Shi, Zhiquan Qi, Zhensong Chen:
A Survey on Semantic Segmentation. ICDM Workshops 2018: 1233-1240 - [c239]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 - [c238]Limeng Cui, Zhensong Chen, Jiawei Zhang, Lifang He, Yong Shi, Philip S. Yu:
Multi-View Fusion Through Cross-Modal Retrieval. ICIP 2018: 1977-1981 - [c237]Feng Liu, Yong Shi:
Research on Artificial Intelligence Ethics Based on the Evolution of Population Knowledge Base. IFIP TC12 ICIS 2018: 455-464 - [c236]Steven Z. Lin, Yong Shi, Zhi Xue:
Character-Level Intrusion Detection Based On Convolutional Neural Networks. IJCNN 2018: 1-8 - [c235]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 - [c234]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 - [c233]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 - [c232]Yong Shi, Ye-ran Tang, Wen Long:
Finding Patterns of Stock Returns Based on Sequence Alignment. ITQM 2018: 256-262 - [c231]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 - [c230]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 - [c229]Minglong Lei, Yong Shi, Lingfeng Niu:
The Applications of Stochastic Models in Network Embedding: A Survey. WI 2018: 635-638 - [c228]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] - [i10]Yunlong Mi, Yong Shi, Jinhai Li, Jiabin Liu, Biao Li:
A generalized concept-cognitive learning: A machine learning viewpoint. CoRR abs/1801.02334 (2018) - [i9]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) - [i8]Yong Shi, Minglong Lei, Peng Zhang, Lingfeng Niu:
Diffusion Based Network Embedding. CoRR abs/1805.03504 (2018) - [i7]Feng Liu, Yong Shi:
Research on Artificial Intelligence Ethics Based on the Evolution of Population Knowledge Base. CoRR abs/1806.10095 (2018) - [i6]