Research on an Intelligent Liquid Lamp Inspector Based on Machine Vision. - Lasheng Yu; Yanying Zeng; Zhaoke Huang (IEA/AIE, 2015)

A Novel Cognitively Inspired State Transition Algorithm for Solving the Linear Bi-Level Programming Problem. - Zhaoke Huang; Chunhua Yang 001; Xiaojun Zhou; Weihua Gui 001 (Cogn. Comput., 2018)

A Hybrid Feature Selection Method Based on Binary State Transition Algorithm and ReliefF. - Zhaoke Huang; Chunhua Yang 001; Xiaojun Zhou; Tingwen Huang (IEEE J. Biomed. Health Informatics, 2019)

Energy Consumption Forecasting for the Nonferrous Metallurgy Industry Using Hybrid Support Vector Regression with an Adaptive State Transition Algorithm. - Zhaoke Huang; Chunhua Yang 001; Xiaojun Zhou; Shengxiang Yang (Cogn. Comput., 2020)

Adaptive over-sampling method for classification with application to imbalanced datasets in aluminum electrolysis. - Zhaoke Huang; Chunhua Yang 001; Xiaofang Chen; Keke Huang; Yongfang Xie (Neural Comput. Appl., 2020)

Functional deep echo state network improved by a bi-level optimization approach for multivariate time series classification. - Zhaoke Huang; Chunhua Yang 001; Xiaofang Chen; Xiaojun Zhou; Guo Chen 005; Tingwen Huang; Weihua Gui 001 (Appl. Soft Comput., 2021)

Dynamic multi-objective optimization and fuzzy AHP for copper removal process of zinc hydrometallurgy. - Xiaojun Zhou; Yanan Sun 001; Zhaoke Huang; Chunhua Yang 001; Gary G. Yen (Appl. Soft Comput., 2022)

Time series clustering method with cluster validation to identify unknown local cell conditions in the aluminum reduction cell. - Zhaoke Huang; Chunhua Yang 001; Xiaofang Chen; Xiaojun Zhou; Weihua Gui 001 (Comput. Ind. Eng., 2022)

A Multiple Gradient Descent Design for Multi-Task Learning on Edge Computing: Multi-Objective Machine Learning Approach. - Xiaojun Zhou; Yuan Gao; Chaojie Li; Zhaoke Huang (IEEE Trans. Netw. Sci. Eng., 2022)

An improved TOPSIS-based multi-criteria decision-making approach for evaluating the working condition of the aluminum reduction cell. - Zhaoke Huang; Chunhua Yang 001; Xiaojun Zhou; Weihua Gui 001 (Eng. Appl. Artif. Intell., 2023)

Brain-inspired STA for parameter estimation of fractional-order memristor-based chaotic systems. - Zhaoke Huang; Chunhua Yang 001; Xiaojun Zhou; Weihua Gui 001; Tingwen Huang (Appl. Intell., 2023)

Directional And Topological Transformer With Topology Priors For 4D Cellular Image Segmentation. - Zelin Li; Zhaoke Huang; Zhen Zhu; Sicheng You; Zhongying Zhao 002; Hong Yan 001 (ICIP, 2024)

3D Cellular Segmentation of Live Embryos via Topologically and Biologically Boundary-aware Semi-supervised Learning. - Zelin Li; Zhaoke Huang; Hong Yan (SMC, 2024)

Scalable Co-Clustering for Large-Scale Data Through Dynamic Partitioning and Hierarchical Merging. - Zihan Wu; Zhaoke Huang; Hong Yan (SMC, 2024)

A convex-hull based method with manifold projections for detecting cell protrusions. - Zhaoke Huang; Zihan Wu; Hong Yan (Comput. Biol. Medicine, 2024)

Volume Tells: Dual Cycle-Consistent Diffusion for 3D Fluorescence Microscopy De-noising and Super-Resolution. - Zelin Li; Chenwei Wang; Zhaoke Huang; Yiming Ma; Cunming Zhao; Zhongying Zhao 002; Hong Yan 001 (CVPR, 2025)

An effective method for quantification, visualization, and analysis of 3D cell shape during early embryogenesis. - Zelin Li; Zhaoke Huang; Jianfeng Cao; Guoye Guan; Zhongying Zhao 002; Hong Yan 001 (Quant. Biol., 2025)

Ellipse Detection via Global Arc Compatibilities and Adaptive Co-Clustering for Real-World Measurement Systems. - Zihan Wu; Zhaoke Huang; Hong Yan 001 (IEEE Trans. Instrum. Meas., 2025)