Decision Tree for Dynamic and Uncertain Data Streams. - Chunquan Liang; Yang Zhang 010; Qun Song 003 (ACML, 2010)

Learning very fast decision tree from uncertain data streams with positive and unlabeled samples. - Chunquan Liang; Yang Zhang 010; Peng Shi 001; Zhengguo Hu (Inf. Sci., 2012)

Learning accurate very fast decision trees from uncertain data streams. - Chunquan Liang; Yang Zhang 010; Peng Shi 001; Zhengguo Hu (Int. J. Syst. Sci., 2015)

Continuously maintaining approximate quantile summaries over large uncertain datasets. - Chunquan Liang; Yang Zhang 010; Yanming Nie; Shaojun Hu (Inf. Sci., 2018)

Online Computing Quantile Summaries Over Uncertain Data Streams. - Chunquan Liang; Mei Li; Bin Liu (IEEE Access, 2019)

Real-Time Detection of Apple Leaf Diseases Using Deep Learning Approach Based on Improved Convolutional Neural Networks. - Jian Peng 002; Yuehan Chen; Bin Liu 023; Dongjian He; Chunquan Liang (IEEE Access, 2019)

Bootstrap Deep Metric for Seed Expansion in Attributed Networks. - Chunquan Liang; Yifan Wang; Qiankun Chen; Xinyuan Feng; Luyue Wang; Mei Li; Hongming Zhang 002 (SIGIR, 2024)

Bootstrap Latent Prototypes for graph positive-unlabeled learning. - Chunquan Liang; Yi Tian; Dongmin Zhao; Mei Li; Shirui Pan; Hongming Zhang 002; Jicheng Wei (Inf. Fusion, 2024)

Graph positive-unlabeled learning via Bootstrapping Label Disambiguation. - Chunquan Liang; Luyue Wang; Xinyuan Feng; Yuying Cheng; Mei Li; Shirui Pan; Hongming Zhang 002 (Neural Networks, 2025)

Adaptive archive exploitation for Gaussian estimation of distribution algorithm. - Dongmin Zhao; Yi Tian; Lingshun Zeng; Chunquan Liang (Appl. Intell., 2025)