A novel molecular typing method of Mycobacteria based on DNA barcoding visualization. - Bin Liu; Xiaotian Zhang; Honglan Huang; Ying Zhang; Fengfeng Zhou; Guoqing Wang (J. Clin. Bioinform., 2014)

A Reinforcement One-Shot Active Learning Approach for Aircraft Type Recognition. - Honglan Huang; Yanghe Feng; Jincai Huang 001; Jiarui Zhang; Li Chen 023 (IEEE Access, 2019)

Artificial Neural Networks for Chemistry Representation in Numerical Simulation of the Flamelet-Based Models for Turbulent Combustion. - Jiarui Zhang; Honglan Huang; Zhixun Xia; Likun Ma; Yifan Duan; Yanghe Feng; Jincai Huang 001 (IEEE Access, 2020)

Active one-shot learning by a deep Q-network strategy. - Li Chen 023; Honglan Huang; Yanghe Feng; Guangquan Cheng; Jincai Huang 001; Zhong Liu 002 (Neurocomputing, 2020)

The landscape of different molecular modules in an immune microenvironment during tuberculosis infection. - Nan Zhang; Xizi Luo; Juanjuan Huang; Hongyan Song; Xinyue Zhang; Honglan Huang; Shishun Zhao; Guoqing Wang (Briefings Bioinform., 2021)

Patient-centered cross-enterprise document sharing and dynamic consent framework using consortium blockchain and ciphertext-policy attribute-based encryption. - Liang Zhang; Haibin Kan; Honglan Huang (CF, 2022)

Dynamic seismic damage assessment of distributed infrastructure systems using graph neural networks and semi-supervised machine learning. - Honglan Huang; Henry V. Burton (Adv. Eng. Softw., 2022)

Efficient hierarchical policy network with fuzzy rules. - Wei Shi; Yanghe Feng; Honglan Huang; Zhong Liu 002; Jincai Huang 001; Guangquan Cheng (Int. J. Mach. Learn. Cybern., 2022)

Patient-Centered Data Sharing and Revision Framework Based on Redactable Blockchain. - Xingyu Wu; Liang Zhang; Honglan Huang (BIBM, 2023)

A Comprehensive Regional Traffic Coordination Control Strategy Integrated the Short-Term Traffic Flow Identification and Prediction. - Xiaoping Ma; Sibo Lu; Honglan Huang; Yanpiao Chen (IEEE Intell. Transp. Syst. Mag., 2023)

PMDRL: Pareto-front-based multi-objective deep reinforcement learning. - Fangjie Yang; Honglan Huang; Wei Shi; Yang Ma; Yanghe Feng; Guangquan Cheng; Zhong Liu 002 (J. Ambient Intell. Humaniz. Comput., 2023)

Active Client Selection for Clustered Federated Learning. - Honglan Huang; Wei Shi; Yanghe Feng; Chaoyue Niu; Guangquan Cheng; Jincai Huang 001; Zhong Liu 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Fuzzy K-means clustering with reconstructed information. - Honglan Huang; Wei Shi; Fangjie Yang; Yanghe Feng; Longfei Zhang; Xingxing Liang; Jun Shi; Guangquan Cheng; Jincai Huang 001; Zhong Liu 002 (Int. J. Mach. Learn. Cybern., 2025)