Biclustering binary data and its application in traditional Chinese Medicine. - Xiao-hua Xu 001; Lin Lu 002; Ping He 001; Zhou-Jin Pan; Lin Chen (BIBM Workshops, 2011)

Random Walk Classifier Framework on Graph. - Xiao-hua Xu 001; Lin Lu 002; Ping He 001; Zhou-Jin Pan; Ling Chen 005 (CCPR, 2012)

Component Random Walk. - Xiao-hua Xu 001; Ping He 001; Lin Lu 002; Zhou-Jin Pan; Ling Chen 005 (ICIC (3), 2012)

Finding k-Biclusters from Gene Expression Data. - Xiao-hua Xu 001; Ping He 001; Lin Lu 002; Yanqiu Xi; Zhou-Jin Pan (ICIC (2), 2012)

Protein Classification Using Random Walk on Graph. - Xiao-hua Xu 001; Lin Lu 002; Ping He 001; Zhou-Jin Pan; Cheng Jing (ICIC (3), 2012)

Supervised Lazy Random Walk Classifier. - Lin Lu 002; Xiao-hua Xu 001; Ping He 001; Yue Ma; Qi Chen; Ling Chen 005 (IEEE WISA, 2013)

Semi-supervised Classification with Multiple Ants Maximal Spanning Tree. - Xiao-hua Xu 001; Lin Lu 002; Ping He 001; Yue Ma; Qi Chen; Ling Chen 005 (IAT, 2013)

Protein localization prediction using random walks on graphs. - Xiao-hua Xu 001; Lin Lu 002; Ping He 001; Ling Chen 005 (BMC Bioinform., 2013)

Improving constrained clustering via swarm intelligence. - Xiao-hua Xu 001; Lin Lu 002; Ping He 001; Zhou-Jin Pan; Ling Chen 005 (Neurocomputing, 2013)

Confidence-based ant random walks. - Ping He 001; Lin Lu 002; Xiao-hua Xu 001; Kanwen Li; Heng Qian; Wei Zhang (IEEE Congress on Evolutionary Computation, 2014)

Evolutionary semi-supervised learning with swarm intelligence. - Ping He 001; Lin Lu 002; Xiao-hua Xu 001; Heng Qian; Wei Zhang; Yongsheng Ju (IEEE Congress on Evolutionary Computation, 2014)

Concept Mining of Binary Gene Expression Data. - Ping He 001; Xiao-hua Xu 001; Yongsheng Ju; Lin Lu 002; Yanqiu Xi (ICIC (3), 2014)

Semi-supervised Ant Evolutionary Classification. - Ping He 001; Xiao-hua Xu 001; Lin Lu 002; Heng Qian; Wei Zhang; Kanwen Li (ICSI (2), 2014)

A bi-level distribution mixture framework for unsupervised driving performance evaluation from naturalistic truck driving data. - Lin Lu 002; Shengwu Xiong 001; Yaxiong Chen (Eng. Appl. Artif. Intell., 2021)

Few-shot driver identification via meta-learning. - Lin Lu 002; Shengwu Xiong 001 (Expert Syst. Appl., 2022)

Federated clustering for recognizing driving styles from private trajectories. - Lin Lu 002; Yao Lin; Yuan Wen; Jinxiong Zhu; Shengwu Xiong 001 (Eng. Appl. Artif. Intell., 2023)

Unsupervised Transformer Balanced Hashing for Multispectral Remote Sensing Image Retrieval. - Yaxiong Chen; Fan Wang; Lin Lu 002; Shengwu Xiong 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Privacy-preserving estimation of electric vehicle charging behavior: A federated learning approach based on differential privacy. - Xiuping Kong; Lin Lu 002; Ke Xiong 006 (Internet Things, 2024)

Cross-Vehicle Federated Learning for Unsupervised Scoring of Driver Behavior Under Privacy Constraint. - Lin Lu 002; Xufei Chu; Ao Guo; Yukun Fang; Beatriz Martinez-Pastor; Rui Teixeira (IEEE Internet Things J., 2025)