Multi-object Segmentation Based on Improved Pulse Coupled Neural Network. - Dansong Cheng; Xianglong Tang; Jiafeng Liu; Xiaofang Liu (Comput. Inf. Sci., 2008)

A Local-Context-Based Fuzzy Algorithm for Image Enhancement. - Dansong Cheng; Daming Shi 001; Xianglong Tang; Jiafeng Liu (IScIDE, 2012)

Vision-based robot navigation using parallel Hough transform. - Mingsuo Li; Daming Shi 001; Dansong Cheng; Liying Zheng (ICMLC, 2013)

Object tracking with Kalman filter and discrete cosine transform. - Jun Wang; Dansong Cheng; Xing Feng; Guohua Zhang (ICMLC, 2013)

KCMAC-BYY: Kernel CMAC using Bayesian Ying-Yang learning. - Ken Tian; Ben Guo; Guoqing Liu; Ian Mitchell 002; Dansong Cheng; Wei Zhao (Neurocomputing, 2013)

On the construction of the relevance vector machine based on Bayesian Ying-Yang harmony learning. - Dansong Cheng; Minh Nhut Nguyen; Junbin Gao; Daming Shi 001 (Neural Networks, 2013)

Intelligent pancreatitis diagnosis-based on relevance vector machine. - Siqian Li; Shiwen He; Jianzhe Yang; Yi Sun; Dansong Cheng; Daming Shi 001 (ICMLC, 2014)

Investigation on the construction of the Relevance Vector Machine based on cross entropy minimization. - Xiaofang Liu; Ruikang Li; Dansong Cheng; Kai Cheng (ICAC, 2016)

LRSR: Low-Rank-Sparse representation for subspace clustering. - Jun Wang; Daming Shi 001; Dansong Cheng; Yongqiang Zhang 003; Junbin Gao (Neurocomputing, 2016)

Low-Rank-Sparse Subspace Representation for Robust Regression. - Yongqiang Zhang 003; Daming Shi 001; Junbin Gao; Dansong Cheng (CVPR, 2017)

Robust visual tracking based on L1 expanded template. - Dansong Cheng; Yongqiang Zhang 003; Feng Tian 006; Daming Shi 001; Xiangfang Liu (ICMLC, 2017)

Active contour driven by multi-scale local binary fitting and Kullback-Leibler divergence for image segmentation. - Lin Liu; Dansong Cheng; Feng Tian 006; Daming Shi 001; Rui Wu 002 (Multim. Tools Appl., 2017)

A global-local affinity matrix model via EigenGap for graph-based subspace clustering. - Daming Shi 001; Jun Wang; Dansong Cheng; Junbin Gao (Pattern Recognit. Lett., 2017)

Double-noise-dual-problem approach to the augmented Lagrange multiplier method for robust principal component analysis. - Dansong Cheng; Jianzhe Yang; Jun Wang; Daming Shi 001; Xiaofang Liu (Soft Comput., 2017)

Data-Efficient Reinforcement Learning Using Active Exploration Method. - Dongfang Zhao 002; Jiafeng Liu; Rui Wu 002; Dansong Cheng; Xianglong Tang (ICONIP (3), 2018)

Image segmentation based on multi-region multi-scale local binary fitting and Kullback-Leibler divergence. - Dansong Cheng; Feng Tian 006; Lin Liu; Xiaofang Liu; Ye Jin (Signal Image Video Process., 2018)

An Advanced Harmony Search Algorithm Based on Harmony Anchoring and Reverse Learning. - Lin Liu; Daming Shi 001; Dansong Cheng; Maysam Orouskhani (ICTAI, 2019)

Optimistic Sampling Strategy for Data-Efficient Reinforcement Learning. - Dongfang Zhao 002; Jiafeng Liu; Rui Wu 002; Dansong Cheng; Xianglong Tang (IEEE Access, 2019)

Utilizing Relevant RGB-D Data to Help Recognize RGB Images in the Target Domain. - Depeng Gao; Jiafeng Liu; Rui Wu 002; Dansong Cheng; Xiaopeng Fan; Xianglong Tang (Int. J. Appl. Math. Comput. Sci., 2019)

An Active Exploration Method for Data Efficient Reinforcement Learning. - Dongfang Zhao 002; Jiafeng Liu; Rui Wu 002; Dansong Cheng; Xianglong Tang (Int. J. Appl. Math. Comput. Sci., 2019)

A level set method for image segmentation based on Bregman divergence and multi-scale local binary fitting. - Dansong Cheng; Daming Shi 001; Feng Tian 006; Xiaofang Liu (Multim. Tools Appl., 2019)

Sign-correlation cascaded regression for face alignment. - Dansong Cheng; Yongqiang Zhang 003; Ce Liu; Xiaofang Liu (Multim. Tools Appl., 2019)

A differential privacy noise dynamic allocation algorithm for big multimedia data. - Guoqiang Zhou; Shui Qin; Hongfei Zhou; Dansong Cheng (Multim. Tools Appl., 2019)

Sign correlation subspace for face alignment. - Dansong Cheng; Yongqiang Zhang 003; Feng Tian 006; Ce Liu; Xiaofang Liu (Soft Comput., 2019)

Affinity matrix with large eigenvalue gap for graph-based subspace clustering and semi-supervised classification. - Xiaofang Liu; Jun Wang; Dansong Cheng; Feng Tian 006; Yongqiang Zhang 003 (Eng. Appl. Artif. Intell., 2020)

Non-convex low-rank representation combined with rank-one matrix sum for subspace clustering. - Xiaofang Liu; Jun Wang; Dansong Cheng; Daming Shi 001; Yongqiang Zhang 003 (Soft Comput., 2020)