Constructing Class Hierarchy via Adaptive Kernel Learning. - Yanting Lu; Jianfeng Lu 003; Liantao Wang; Jing-Yu Yang 001 (CCPR, 2012)

Querying representative points from a pool based on synthesized queries. - Xuelei Hu; Liantao Wang; Bo Yuan 003 (IJCNN, 2012)

Weakly supervised object localization via maximal entropy random walk. - Liantao Wang; Ji Zhao 001; Xuelei Hu; Jianfeng Lu 003 (ICIP, 2014)

Multiple kernel clustering based on centered kernel alignment. - Yanting Lu; Liantao Wang; Jianfeng Lu 003; Jingyu Yang 001; Chunhua Shen (Pattern Recognit., 2014)

Active learning via query synthesis and nearest neighbour search. - Liantao Wang; Xuelei Hu; Bo Yuan 003; Jianfeng Lu 003 (Neurocomputing, 2015)

Soil Moisture Content Detection Based on Sensor Networks. - Zhan Huan; Li Chen; Liantao Wang; CaiYan Wan (BigCom, 2016)

Feature and Region Selection for Visual Learning. - Ji Zhao 001; Liantao Wang; Ricardo Silveira Cabral; Fernando De la Torre (IEEE Trans. Image Process., 2016)

Learning arbitrary-shape object detector from bounding-box annotation by searching region-graph. - Liantao Wang; Jianfeng Lu 003; Xiangyu Li 005; Zhan Huan; Jiuzhen Liang; Shuyue Chen (Pattern Recognit. Lett., 2017)

Instance Annotation via Optimal BoW for Weakly Supervised Object Localization. - Liantao Wang; Deyu Meng; Xuelei Hu; Jianfeng Lu 003; Ji Zhao 001 (IEEE Trans. Cybern., 2017)

A Least Squares Approach to Region Selection. - Liantao Wang; Yan Liu; Jianfeng Lu (ICONIP (5), 2018)

Non-concept density estimation via kernel regression for concept ranking in weakly labelled data. - Liantao Wang; Qingwu Li; Jianfeng Lu; Qiong Wang (IET Comput. Vis., 2018)

Action recognition by Latent Duration Model. - Tingwei Wang; Chuancai Liu; Liantao Wang (Neurocomputing, 2018)

Evolution modeling with multi-scale smoothing for action recognition. - Tingwei Wang; Chuancai Liu; Liantao Wang; Bingxian Ma; Xingjian Gu (J. Vis. Commun. Image Represent., 2018)

Logistic Regression Region Weighting for Weakly Supervised Object Localization. - Liantao Wang; Tingwei Wang; Xuelei Hu (IEEE Access, 2019)

Weakly supervised segment annotation via expectation kernel density estimation. - Liantao Wang; Qingwu Li; Jianfeng Lu (IET Comput. Vis., 2019)

Feature Voting for Object Localization via Density Ratio Estimation. - Liantao Wang; Dong Deng 004; Chunlei Chen (KSII Trans. Internet Inf. Syst., 2019)

Multiple-Instance Discriminant Analysis for Weakly Supervised Segment Annotation. - Liantao Wang; Qingwu Li; Yan Zhou (IEEE Trans. Image Process., 2019)

ST-CSNN: a novel method for vehicle counting. - Kang Yin; Liantao Wang; Jinxia Zhang (Mach. Vis. Appl., 2021)

Discriminant distance template matching for image recognition. - Liantao Wang; Qingrui Liu (Mach. Vis. Appl., 2022)

RGB-D salient object ranking based on depth stack and truth stack for complex indoor scenes. - Jingzheng Deng; Jinxia Zhang; Zewen Hu; Liantao Wang; Jiacheng Jiang; Xinchao Zhu; Xinyi Chen; Yin Yuan; Chao Wang (Pattern Recognit., 2023)

Instance-dimension dual contrastive learning of visual representations. - Qingrui Liu; Liantao Wang; Qinxu Wang; Jinxia Zhang (Mach. Vis. Appl., 2023)

GAN-Based Unsupervised Day to Night Image Translation for Nighttime Vehicle Detection. - Yang Xu; Liantao Wang (ICBASE, 2024)

Artificial intelligence based virtual gaming experience for sports training and simulation of human motion trajectory capture. - Zhengli Li; Liantao Wang; Xueqing Wu 006 (Entertain. Comput., 2025)

Template-centric deep linear discriminant analysis for visual representation. - Zongkai Chai; Liantao Wang; Haowen Shi; Zhaohui Yuan (Multim. Tools Appl., 2025)