Region-based semi-supervised clustering image segmentation. - Tongfeng Sun; Zihui Ren; Shifei Ding (ICNC, 2011)

Novel Image Recognition Based on Subspace and SIFT. - Tongfeng Sun; Shifei Ding; Zihui Ren (J. Softw., 2013)

A new image co-segmentation method using saliency detection for surveillance image of coal miners. - Wei Chen 036; Tongfeng Sun; Ming Li; Haifeng Jiang; Chongbo Zhou (Comput. Electr. Eng., 2014)

Design and implementation of monitoring and management system based on wireless sensor network hop estimation with the moving target Kalman prediction and Greedy-Vip. - Wei Chen 036; Zhibo Tang; Xiaorong Jiang; Qichong Tian; Jing Gao; Tongfeng Sun; Renke Sun; Ming Zhao (Comput. Stand. Interfaces, 2014)

Reduced-reference image quality assessment through SIFT intensity ratio. - Tongfeng Sun; Shifei Ding; Wei Chen 036 (Int. J. Mach. Learn. Cybern., 2014)

A New Method for Driver Fatigue Detection Based on Eye State. - Xinzheng Xu; Xiaoming Cui; Guanying Wang; Tongfeng Sun; Hongguo Feng (RSKT, 2015)

An adaptive extreme learning machine algorithm and its application on face recognition. - Jian Ni; Xinzheng Xu; Shifei Ding; Tongfeng Sun (Int. J. Comput. Sci. Math., 2015)

No-reference image quality assessment based on gradient histogram response. - Tongfeng Sun; Shifei Ding; Wei Chen 036; Xinzheng Xu (Comput. Electr. Eng., 2016)

Multi-class LSTMSVM based on optimal directed acyclic graph and shuffled frog leaping algorithm. - Xiekai Zhang; Shifei Ding; Tongfeng Sun (Int. J. Mach. Learn. Cybern., 2016)

Combining Gabor filtering and classification dictionaries learning for fingerprint enhancement. - Shifei Ding; Weixin Bian; Hongmei Liao; Tongfeng Sun; Yu Xue 004 (IET Biom., 2017)

Medical images segmentation based on improved three-dimensional pulse coupled neural network. - Maxin Wang; Xinzheng Xu; Guanying Wang; Shifei Ding; Tongfeng Sun (Int. J. Wirel. Mob. Comput., 2017)

Fingerprint enhancement rooted in the spectra diffusion by the aid of the 2D adaptive Chebyshev band-pass filter with orientation-selective. - Shifei Ding; Weixin Bian; Tongfeng Sun; Yu Xue 004 (Inf. Sci., 2017)

An entropy-based density peaks clustering algorithm for mixed type data employing fuzzy neighborhood. - Shifei Ding; Mingjing Du 001; Tongfeng Sun; Xiao Xu 006; Yu Xue 004 (Knowl. Based Syst., 2017)

A Fast Density Peaks Clustering Algorithm Based on Pre-Screening. - Xiao Xu 006; Shifei Ding; Tongfeng Sun (BigComp, 2018)

A Byproduct of a Differentiable Neural Network - Data Weighting from an Implicit Form to an Explicit Form. - Tongfeng Sun (IIP, 2018)

An image response framework for no-reference image quality assessment. - Tongfeng Sun; Shifei Ding; Xinzheng Xu (Comput. Electr. Eng., 2018)

Self-Organizing Approximation Command Filtered Backstepping Control for Higher Order SISO Systems in Internet of Things. - Qiusheng He; Wei Chen 036; Haitao Wang; Qingsong Hu; Tongfeng Sun; Chaogang Tang (IEEE Access, 2019)

A comparative study of neural-network feature weighting. - Tongfeng Sun; Shifei Ding; Pin Li; Wei Chen 036 (Artif. Intell. Rev., 2019)

An effective asynchronous framework for small scale reinforcement learning problems. - Shifei Ding; Xingyu Zhao 002; Xinzheng Xu; Tongfeng Sun; Weikuan Jia (Appl. Intell., 2019)

Adaptive Multi-Scale Tracking Target Algorithm through Drone. - Qiusheng He; Xiuyan Shao; Wei Chen 036; Xiaoyun Li; Xiao Yang; Tongfeng Sun (IEICE Trans. Commun., 2019)

Review of classical dimensionality reduction and sample selection methods for large-scale data processing. - Xinzheng Xu; Tianming Liang; Jiong Zhu; Dong Zheng; Tongfeng Sun (Neurocomputing, 2019)

Multi-label learning method based on ML-RBF and laplacian ELM. - Xinzheng Xu; Dong Shan; Shan Li; Tongfeng Sun; Pengcheng Xiao; Jianping Fan 001 (Neurocomputing, 2019)

Visual tracking based on robust appearance model. - Bobin Zhang; Xiuyan Shao; Wei Chen 036; Fangming Bi; Weidong Fang; Tongfeng Sun; Chaogang Tang (Image Vis. Comput., 2019)

Research on adaptive local feature enhancement in convolutional neural networks. - Tongfeng Sun; Changlong Shao; Hongmei Liao; Shifei Ding; Xinzheng Xu (IET Image Process., 2020)

Sample selection-based hierarchical extreme learning machine. - Xinzheng Xu; Shan Li; Tianming Liang; Tongfeng Sun (Neurocomputing, 2020)

Multi-view RBM with posterior consistency and domain adaptation. - Nan Zhang 014; Shifei Ding; Tongfeng Sun; Hongmei Liao; Lijuan Wang; Zhongzhi Shi (Inf. Sci., 2020)

SE-DCGAN: a New Method of Semantic Image Restoration. - Fangyan Zhang; Xin Wang 144; Tongfeng Sun; Xinzheng Xu (Cogn. Comput., 2021)

SA-CapsGAN: Using Capsule Networks with embedded self-attention for Generative Adversarial Network. - Guangcong Sun; Shifei Ding; Tongfeng Sun; Chenglong Zhang 001 (Neurocomputing, 2021)

An iterative stacked weighted auto-encoder. - Tongfeng Sun; Shifei Ding; Xinzheng Xu (Soft Comput., 2021)

Blind video quality assessment based on multilevel video perception. - Tongfeng Sun; Shifei Ding; Wei Chen 036 (Signal Process. Image Commun., 2021)

A novel dense capsule network based on dense capsule layers. - Guangcong Sun; Shifei Ding; Tongfeng Sun; Chenglong Zhang 001; Wei Du 010 (Appl. Intell., 2022)

Learning from Positive and Unlabeled Data with Augmented Classes. - Zhongnian Li; Liutao Yang; Zhongchen Ma; Tongfeng Sun; Xinzheng Xu; Daoqiang Zhang (CoRR, 2022)

A Gaussian RBM with binary auxiliary units. - Jian Zhang 019; Shifei Ding; Tongfeng Sun; Lili Guo (Int. J. Mach. Learn. Cybern., 2022)

Low-degree term first in ResNet, its variants and the whole neural network family. - Tongfeng Sun; Shifei Ding; Lili Guo (Neural Networks, 2022)

Multi-label Learning from Privacy-Label. - Zhongnian Li; Haotian Ren; Tongfeng Sun; Zhichen Li (CoRR, 2023)

Prompt Expending for Single Positive Multi-Label Learning with Global Unannotated Categories. - Zhongnian Li; Peng Ying; Meng Wei 006; Tongfeng Sun; Xinzheng Xu (ICMR, 2024)

Learning from Concealed Labels. - Zhongnian Li; Meng Wei 006; Peng Ying; Tongfeng Sun; Xinzheng Xu (ACM Multimedia, 2024)

Learning from True-False Labels via Multi-modal Prompt Retrieving. - Zhongnian Li; Jinghao Xu; Peng Ying; Meng Wei 006; Tongfeng Sun; Xinzheng Xu (CoRR, 2024)

Feature-wise scaling and shifting: Improving the generalization capability of neural networks through capturing independent information of features. - Tongfeng Sun; Xiurui Wang; Zhongnian Li; Shifei Ding (Neural Networks, 2024)

Adversarial domain adaptation with CLIP for few-shot image classification. - Tongfeng Sun; Hongjian Yang; Zhongnian Li; Xinzheng Xu; Xiurui Wang (Appl. Intell., 2025)

MSGCoOp: Multiple Semantic-Guided Context Optimization for Few-Shot Learning. - Zhaolong Wang; Tongfeng Sun; Mingzheng Du; Yachao Huang (CoRR, 2025)

Prediction and warning method for large passenger flow in metro transfer stations based on spatial and temporal characteristics of personnel trajectories. - Dawei Cui; Zewei Zhang; Tongfeng Sun (Expert Syst. Appl., 2026)