Artifact Removal Methods in Motor Imagery of EEG. - Yanlong Zhu; Zhongyu Wang; Chenglong Dai; Dechang Pi (IDEAL, 2017)

Parameter auto-selection for hemispherical resonator gyroscope's long-term prediction model based on cooperative game theory. - Chenglong Dai; Dechang Pi (Knowl. Based Syst., 2017)

Multivariate Synchronization Index Based on Independent Component Analysis for SSVEP-Based BCI. - Yanlong Zhu; Chenglong Dai; Dechang Pi (ADMA, 2018)

Brain EEG Time Series Selection: A Novel Graph-Based Approach for Classification. - Chenglong Dai; Jia Wu 001; Dechang Pi; Lin Cui 002 (SDM, 2018)

MTEEGC: A novel approach for multi-trial EEG clustering. - Chenglong Dai; Dechang Pi; Lin Cui 002; Yanlong Zhu (Appl. Soft Comput., 2018)

A novel multi-module neural network system for imbalanced heartbeats classification. - Jing Jiang; Huaifeng Zhang; Dechang Pi; Chenglong Dai (Expert Syst. Appl. X, 2019)

Shapelet-transformed Multi-channel EEG Channel Selection. - Chenglong Dai; Dechang Pi; Stefanie I. Becker (ACM Trans. Intell. Syst. Technol., 2020)

CenEEGs: Valid EEG Selection for Classification. - Chenglong Dai; Dechang Pi; Stefanie I. Becker; Jia Wu 001; Lin Cui 002; Blake W. Johnson (ACM Trans. Knowl. Discov. Data, 2020)

Joint Optimization Scheme of Multi-service Replication and Request Offloading in Mobile Edge Computing. - Chenxi Li; Guanghui Li 001; Shihong Hu; Chenglong Dai; Dong Li (ICA3PP (1), 2021)

DRGCN: Dual Residual Graph Convolutional Network for Hyperspectral Image Classification. - Rong Chen; Guanghui Li 001; Chenglong Dai (IEEE Geosci. Remote. Sens. Lett., 2022)

Feature Fusion via Deep Residual Graph Convolutional Network for Hyperspectral Image Classification. - Rong Chen; Guanghui Li 001; Chenglong Dai (IEEE Geosci. Remote. Sens. Lett., 2022)

Brain EEG Time-Series Clustering Using Maximum-Weight Clique. - Chenglong Dai; Jia Wu 001; Dechang Pi; Stefanie I. Becker; Lin Cui 002; Qin Zhang 011; Blake W. Johnson (IEEE Trans. Cybern., 2022)

Electroencephalogram Signal Clustering With Convex Cooperative Games. - Chenglong Dai; Jia Wu 001; Dechang Pi; Lin Cui 002; Blake W. Johnson; Stefanie I. Becker (IEEE Trans. Knowl. Data Eng., 2022)

Joint Optimization of Request Scheduling and Container Prewarming in Serverless Computing. - Si Chen; Guanghui Li 001; Chenglong Dai; Wei Li; Qinglin Zhao (ICA3PP (1), 2023)

A Sparse Cross Attention-based Graph Convolution Network with Auxiliary Information Awareness for Traffic Flow Prediction. - Lingqiang Chen; Qinglin Zhao; Guanghui Li 001; Mengchu Zhou; Chenglong Dai; Yiming Feng (CoRR, 2023)

An Offset Graph U-Net for Hyperspectral Image Classification. - Rong Chen; Gemine Vivone; Guanghui Li 001; Chenglong Dai; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2023)

ShVEEGc: EEG Clustering With Improved Cosine Similarity-Transformed Shapley Value. - Guanghui Li 001; Jiahua Shen; Chenglong Dai; Jia Wu 001; Stefanie I. Becker (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

ssvEEGc: An efficient EEG clustering method using balance-constrained voting mechanism. - Guanghui Li 001; Dong Li; Chenglong Dai (Biomed. Signal Process. Control., 2023)

Characteristics of Regional GPS Crustal Deformation before the 2021 Yunnan Yangbi Ms 6.4 Earthquake and Its Implications for Determining Potential Areas of Future Strong Earthquakes. - Chenglong Dai; Weijun Gan; Zhangjun Li; Shiming Liang; Genru Xiao; Keliang Zhang; Ling Zhang (Remote. Sens., 2023)

Semi-Supervised EEG Clustering With Multiple Constraints. - Chenglong Dai; Jia Wu 001; Jessica J. M. Monaghan; Guanghui Li 001; Hao Peng 001; Stefanie I. Becker; David McAlpine (IEEE Trans. Knowl. Data Eng., 2023)

Spectral-spatial dynamic graph convolutional network for hyperspectral image classification. - Rong Chen; Guanghui Li 001; Chenglong Dai (Earth Sci. Informatics, 2023)

Proactive video caching based on federated learning and implicit feedback in mobile edge computing. - Zhen Qian; Guanghui Li 001; Tao Qi; Chenglong Dai; Jia Hu (GLOBECOM, 2024)

Mobility-aware proactive video caching based on asynchronous federated learning in mobile edge computing systems. - Zhen Qian; Yiming Feng; Chenglong Dai; Wei Li; Guanghui Li 001 (Appl. Soft Comput., 2024)

Adaptive channel-weight dual-constrained semi-supervised EEG clustering. - Jiahui Bian; Chenglong Dai; Guanghui Li 001 (Biomed. Signal Process. Control., 2024)

IFBCLNet: Spatio-temporal frequency feature extraction-based MI-EEG classification convolutional network. - Jianshuai Cao; Guanghui Li 001; Jiahua Shen; Chenglong Dai (Biomed. Signal Process. Control., 2024)

A metaheuristic-based algorithm for optimizing node deployment in wireless sensor network. - Meng Xie; Dechang Pi; Chenglong Dai; Yue Xu 002 (Neural Comput. Appl., 2024)

MSFT-transformer: a multistage fusion tabular transformer for disease prediction using metagenomic data. - Ning Wang; Minghui Wu; Wenchao Gu; Chenglong Dai; Zongru Shao; K. P. Subbalakshmi (Briefings Bioinform., 2025)

Federated deep reinforcement learning-based cost-efficient proactive video caching in energy-constrained mobile edge networks. - Zhen Qian; Guanghui Li 001; Tao Qi; Chenglong Dai (Comput. Networks, 2025)

Graph U-Net With Topology-Feature Awareness Pooling for Hyperspectral Image Classification. - Rong Chen; Gemine Vivone; Guanghui Li 001; Chenglong Dai; Danfeng Hong; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2025)

A Sparse Cross Attention-Based Graph Convolution Network With Auxiliary Information Awareness for Traffic Flow Prediction. - Lingqiang Chen; Qinglin Zhao; Guanghui Li 001; Mengchu Zhou; Chenglong Dai; Yiming Feng; Xiaowei Liu; Jinjiang Li (IEEE Trans. Intell. Transp. Syst., 2025)