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ORCIDDalian Liu
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2020 – today
- 2024
[j16]Dalian Liu, Saiji Fu, Ying-Jie Tian, Jingjing Tang:
Universum driven cost-sensitive learning method with asymmetric loss function. Eng. Appl. Artif. Intell. 131: 107849 (2024)- 2022
- [j15]Yingjie Tian
, Yurong Ding, Saiji Fu, Dalian Liu:
Data Boundary and Data Pricing Based on the Shapley Value. IEEE Access 10: 14288-14300 (2022) - 2021
- [j14]Jingjing Tang, Yiwei He, Yingjie Tian, Dalian Liu, Gang Kou, Fawaz E. Alsaadi:
Coupling loss and self-used privileged information guided multi-view transfer learning. Inf. Sci. 551: 245-269 (2021) - [c17]Saiji Fu, Shiding Sun, Xinfeng Wang, Dalian Liu:
A brief overview of kernel methods with prior information. ITQM 2021: 269-275 - [c16]Kunlong Bai, Saiji Fu, Linrui Yang, Dalian Liu:
Fine-grained attribute-aware analysis for person re-identification. ITQM 2021: 276-283 - 2020
- [j13]Guoqiang Wu, Ruobing Zheng, Yingjie Tian, Dalian Liu:
Joint Ranking SVM and Binary Relevance with robust Low-rank learning for multi-label classification. Neural Networks 122: 24-39 (2020)
2010 – 2019
- 2019
- [j12]Qi Wang, Yingjie Tian, Dalian Liu:
Adaptive FH-SVM for Imbalanced Classification. IEEE Access 7: 130410-130422 (2019) - [j11]Yiwei He, Yingjie Tian, Dalian Liu:
Multi-view transfer learning with privileged learning framework. Neurocomputing 335: 131-142 (2019) - [j10]Jingjing Tang, Yingjie Tian, Dalian Liu, Gang Kou:
Coupling privileged kernel method for multi-view learning. Inf. Sci. 481: 110-127 (2019) - [i1]Guoqiang Wu, Ruobing Zheng, Yingjie Tian, Dalian Liu:
Joint Ranking SVM and Binary Relevance with Robust Low-Rank Learning for Multi-Label Classification. CoRR abs/1911.01658 (2019) - 2018
- [j9]Jingjing Tang, Dewei Li, Yingjie Tian, Dalian Liu:
Multi-view learning based on nonparallel support vector machine. Knowl. Based Syst. 158: 94-108 (2018) - [j8]Guoqiang Wu, Yingjie Tian, Dalian Liu:
Cost-sensitive multi-label learning with positive and negative label pairwise correlations. Neural Networks 108: 411-423 (2018) - [j7]Dalian Liu, Dewei Li, Yong Shi, Yingjie Tian:
Large-scale linear nonparallel SVMs. Soft Comput. 22(6): 1945-1957 (2018) - [c15]Yiwei He, Yue Ma, Dalian Liu, Xiaohua Chen:
Parallel Harris Corner Detection on Heterogeneous Architecture. ICCS (2) 2018: 443-452 - [c14]Guoqiang Wu, Yingjie Tian, Dalian Liu:
Privileged Multi-Target Support Vector Regression. ICPR 2018: 385-390 - [c13]Jingjing Tang, Yingjie Tian, Dalian Liu:
Large-Scale Linear NPSVM via One Permutation Hashing. IJCNN 2018: 1-8 - 2016
- [j6]Yu Wei, Libin Jiao, Shenling Wang, Rongfang Bie, Yinfeng Chen, Dalian Liu:
Sports Motion Recognition Using MCMR Features Based on Interclass Symbolic Distance. Int. J. Distributed Sens. Networks 12(5): 7483536:1-7483536:15 (2016) - [j5]Yingjie Tian, Ying Zhang, Dalian Liu:
Semi-supervised support vector classification with self-constructed Universum. Neurocomputing 189: 33-42 (2016) - [j4]Dalian Liu, Yong Shi, Yingjie Tian, Xiankai Huang:
Ramp loss least squares support vector machine. J. Comput. Sci. 14: 61-68 (2016) - [c12]Dalian Liu, Dandan Chen, Yong Shi, Yingjie Tian:
Ramp Loss Linear Programming Nonparallel Support Vector Machine. ICCS 2016: 1745-1754 - 2015
- [j3]Dalian Liu, Yong Shi, Yingjie Tian:
Ramp loss nonparallel support vector machine for pattern classification. Knowl. Based Syst. 85: 224-233 (2015) - [c11]Jingjing Tang, Yingjie Tian, Dalian Liu:
Connected bit minwise hashing for large-scale linear SVM. FSKD 2015: 995-1002 - [c10]Xuchan Ju, Yingjie Tian, Dalian Liu, Zhiquan Qi:
Nonparallel Hyperplanes Support Vector Machine for Multi-class Classification. ICCS 2015: 1574-1582 - [c9]Yu Wei, Libin Jiao, Shenling Wang, Yinfeng Chen, Dalian Liu:
Time Series Classification with Max-Correlation and Min-Redundancy Shapelets Transformation. IIKI 2015: 7-12 - [c8]Xuchan Ju, Yingjie Tian, Dalian Liu, Manjin Cheng, Yuhong Xia, Fuqiang Quo:
Multi-Dimensional Critical Control of Water Resource in Bayannur. ITQM 2015: 238-245 - 2014
- [j2]Yingjie Tian, Qin Zhang, Dalian Liu:
ν-Nonparallel support vector machine for pattern classification. Neural Comput. Appl. 25(5): 1007-1020 (2014) - [j1]Dalian Liu, Yingjie Tian, Rongfang Bie, Yong Shi:
Self-Universum support vector machine. Pers. Ubiquitous Comput. 18(8): 1813-1819 (2014) - 2013
- [c7]Jinling Du, Dalian Liu, Meisheng Zhang:
Research on the Optimal Configuration of Human Resource in Construction Enterprise Based on Two-Side Matching. CIS 2013: 846-850 - [c6]Qin Zhang, Yingjie Tian, Dalian Liu:
Nonparallel Support Vector Machines for Multiple-Instance Learning. ITQM 2013: 1063-1072 - 2011
- [c5]Dalian Liu, Jinling Du, Xiaohua Chen:
A Genetic Algorithm Based on a New Fitness Function for Constrained Optimization Problem. CIS 2011: 6-9 - 2010
- [c4]Jinling Du, Dalian Liu:
Hybrid Genetic Algorithm for the Multi-objective Flexible Scheduling Problem. CIS 2010: 122-126 - [c3]Dalian Liu, Chunfeng Xing, Xuehai Shang:
A New Genetic Algorithm and Its Convergence for Constrained Optimization Problems. CIS 2010: 147-150
2000 – 2009
- 2009
- [c2]Dalian Liu, Xinfeng Wang, Jinling Du:
A Clustering-Based Evolutionary Algorithm for Traveling Salesman Problem. CIS (1) 2009: 118-122 - 2005
- [c1]Yuping Wang, Dalian Liu, Yiu-ming Cheung:
Preference Bi-objective Evolutionary Algorithm for Constrained Optimization. CIS (1) 2005: 184-191
Coauthor Index
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