Hyper-parameter Analysis of the Improved Deep Embedding Clustering Model. - Qiying Feng; C. L. Philip Chen; Jin Zhou 003 (SPAC, 2018)

Broad Graph-Based Non-Negative Robust Continuous Clustering. - Qiying Feng; C. L. Philip Chen; Long Chen 001 (IEEE Access, 2020)

Deep Fuzzy Clustering - A Representation Learning Approach. - Qiying Feng; Long Chen 001; C. L. Philip Chen; Li Guo 016 (IEEE Trans. Fuzzy Syst., 2020)

Stacked Broad Learning System: From Incremental Flatted Structure to Deep Model. - Zhulin Liu; C. L. Philip Chen; Shuang Feng 001; Qiying Feng; Tong Zhang 015 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Broad and deep neural network for high-dimensional data representation learning. - Qiying Feng; Zhulin Liu; C. L. Philip Chen (Inf. Sci., 2022)

Noise Robust Face Hallucination Based on Smooth Correntropy Representation. - Licheng Liu; Qiying Feng; C. L. Philip Chen; Yaonan Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Study on the Characteristics of Trackside Acoustic Flow Field of High-Speed Train under the Influence of Crosswind. - Xing Zhao 007; Lei Zhang; Lin Li; Qiying Feng (Sensors, 2023)

Multiview ensemble clustering of hypergraph p-Laplacian regularization with weighting and denoising. - Dacheng Zheng; Zhiwen Yu 002; Wuxing Chen; Weiwen Zhang; Qiying Feng; Yifan Shi; Kaixiang Yang (Inf. Sci., 2024)

Discriminative fuzzy K-means clustering with local structure preservation for high-dimensional data. - Yu-Feng Yu 001; Peiwen Wei; Xiaoling Wu; Qiying Feng; Chuanbin Zhang (Knowl. Based Syst., 2024)

Optimizing job scheduling by using broad learning to predict execution times on HPC clusters. - Zhengxiong Hou; Hong Shen 001; Qiying Feng; Zhiqi Lv; Junwei Jin; Xingshe Zhou 001; Jianhua Gu (CCF Trans. High Perform. Comput., 2024)

A Review of Convex Clustering From Multiple Perspectives: Models, Optimizations, Statistical Properties, Applications, and Connections. - Qiying Feng; C. L. Philip Chen; Licheng Liu (IEEE Trans. Neural Networks Learn. Syst., 2024)

When Broad Learning System Meets Label Noise Learning: A Reweighting Learning Framework. - Licheng Liu; Junhao Chen; Bin Yang 008; Qiying Feng; C. L. Philip Chen (IEEE Trans. Neural Networks Learn. Syst., 2024)

Particle swarm optimization algorithm based on teaming behavior. - Yu-Feng Yu 001; Ziwei Wang; Xinjia Chen; Qiying Feng (Knowl. Based Syst., 2025)

MalFSCIL: A Few-Shot Class-Incremental Learning Approach for Malware Detection. - Yuhan Chai; Ximing Chen 004; Jing Qiu 002; Lei Du; Yanjun Xiao; Qiying Feng; Shouling Ji; Zhihong Tian (IEEE Trans. Inf. Forensics Secur., 2025)