Preference Bi-objective Evolutionary Algorithm for Constrained Optimization. - Yuping Wang 003; Dalian Liu; Yiu-ming Cheung (CIS (1), 2005)

A Clustering-Based Evolutionary Algorithm for Traveling Salesman Problem. - Dalian Liu; Xinfeng Wang; Jinling Du (CIS (1), 2009)

Hybrid Genetic Algorithm for the Multi-objective Flexible Scheduling Problem. - Jinling Du; Dalian Liu (CIS, 2010)

A New Genetic Algorithm and Its Convergence for Constrained Optimization Problems. - Dalian Liu; Chunfeng Xing; Xuehai Shang (CIS, 2010)

A Genetic Algorithm Based on a New Fitness Function for Constrained Optimization Problem. - Dalian Liu; Jinling Du; Xiaohua Chen (CIS, 2011)

Research on the Optimal Configuration of Human Resource in Construction Enterprise Based on Two-Side Matching. - Jinling Du; Dalian Liu; Meisheng Zhang (CIS, 2013)

Nonparallel Support Vector Machines for Multiple-Instance Learning. - Qin Zhang 011; Yingjie Tian 001; Dalian Liu (ITQM, 2013)

ν-Nonparallel support vector machine for pattern classification. - Yingjie Tian 001; Qin Zhang 011; Dalian Liu (Neural Comput. Appl., 2014)

Self-Universum support vector machine. - Dalian Liu; Yingjie Tian 001; Rongfang Bie; Yong Shi 001 (Pers. Ubiquitous Comput., 2014)

Connected bit minwise hashing for large-scale linear SVM. - Jingjing Tang; Yingjie Tian 001; Dalian Liu (FSKD, 2015)

Nonparallel Hyperplanes Support Vector Machine for Multi-class Classification. - Xuchan Ju; Yingjie Tian 001; Dalian Liu; Zhiquan Qi (ICCS, 2015)

Time Series Classification with Max-Correlation and Min-Redundancy Shapelets Transformation. - Yu Wei 005; Libin Jiao; Shenling Wang 001; Yinfeng Chen; Dalian Liu (IIKI, 2015)

Multi-Dimensional Critical Control of Water Resource in Bayannur. - Xuchan Ju; Yingjie Tian 001; Dalian Liu; Manjin Cheng; Yuhong Xia; Fuqiang Quo (ITQM, 2015)

Ramp loss nonparallel support vector machine for pattern classification. - Dalian Liu; Yong Shi 001; Yingjie Tian 001 (Knowl. Based Syst., 2015)

Ramp Loss Linear Programming Nonparallel Support Vector Machine. - Dalian Liu; Dandan Chen; Yong Shi 001; Yingjie Tian 001 (ICCS, 2016)

Sports Motion Recognition Using MCMR Features Based on Interclass Symbolic Distance. - Yu Wei 005; Libin Jiao; Shenling Wang 001; Rongfang Bie; Yinfeng Chen; Dalian Liu (Int. J. Distributed Sens. Networks, 2016)

Semi-supervised support vector classification with self-constructed Universum. - Yingjie Tian 001; Ying Zhang; Dalian Liu (Neurocomputing, 2016)

Ramp loss least squares support vector machine. - Dalian Liu; Yong Shi 001; Yingjie Tian 001; Xiankai Huang (J. Comput. Sci., 2016)

Parallel Harris Corner Detection on Heterogeneous Architecture. - Yiwei He; Yue Ma 005; Dalian Liu; Xiaohua Chen (ICCS (2), 2018)

Privileged Multi-Target Support Vector Regression. - Guoqiang Wu; Yingjie Tian 001; Dalian Liu (ICPR, 2018)

Large-Scale Linear NPSVM via One Permutation Hashing. - Jingjing Tang; Yingjie Tian 001; Dalian Liu (IJCNN, 2018)

Multi-view learning based on nonparallel support vector machine. - Jingjing Tang; Dewei Li 002; Yingjie Tian 001; Dalian Liu (Knowl. Based Syst., 2018)

Cost-sensitive multi-label learning with positive and negative label pairwise correlations. - Guoqiang Wu; Yingjie Tian 001; Dalian Liu (Neural Networks, 2018)

Large-scale linear nonparallel SVMs. - Dalian Liu; Dewei Li 002; Yong Shi 001; Yingjie Tian 001 (Soft Comput., 2018)

Adaptive FH-SVM for Imbalanced Classification. - Qi Wang; Yingjie Tian 001; Dalian Liu (IEEE Access, 2019)

Multi-view transfer learning with privileged learning framework. - Yiwei He; Yingjie Tian 001; Dalian Liu (Neurocomputing, 2019)

Coupling privileged kernel method for multi-view learning. - Jingjing Tang; Yingjie Tian 001; Dalian Liu; Gang Kou (Inf. Sci., 2019)

Joint Ranking SVM and Binary Relevance with robust Low-rank learning for multi-label classification. - Guoqiang Wu; Ruobing Zheng; Yingjie Tian 001; Dalian Liu (Neural Networks, 2020)

Fine-grained attribute-aware analysis for person re-identification. - Kunlong Bai; Saiji Fu; Linrui Yang; Dalian Liu (ITQM, 2021)

A brief overview of kernel methods with prior information. - Saiji Fu; Shiding Sun; Xinfeng Wang; Dalian Liu (ITQM, 2021)

Coupling loss and self-used privileged information guided multi-view transfer learning. - Jingjing Tang; Yiwei He; Yingjie Tian 001; Dalian Liu; Gang Kou; Fawaz E. Alsaadi (Inf. Sci., 2021)

Data Boundary and Data Pricing Based on the Shapley Value. - Yingjie Tian 001; Yurong Ding; Saiji Fu; Dalian Liu (IEEE Access, 2022)

Universum driven cost-sensitive learning method with asymmetric loss function. - Dalian Liu; Saiji Fu; Ying-Jie Tian 001; Jingjing Tang (Eng. Appl. Artif. Intell., 2024)