Deep ConvLSTM-Inception Network for Traffic Prediction in Smart Cities. - Penggui Huang; Bi Huang; Fan Zhao; Yanfeng Zhang; Mingong Chen (HPCC/DSS/SmartCity, 2020)

Variant transfer learning for wood recognition. - Penggui Huang; Fan Zhao; Xiaoping Li; Zhangkang Wu; Zheng Zhu; Yanfeng Zhang (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2020)

BCoV: a covergence of blockchain and IoV. - Penggui Huang; Bi Huang; Youjie Zhao; Zhenping Qiang; Minmin Qing (QRS Companion, 2020)

Spatio-Temporal Deep Learning Framework for Traffic Speed Forecasting in IoT. - Fei Dai 002; Penggui Huang; Xiaolong Xu 001; Lianyong Qi; Mohammad Reza Khosravi (IEEE Internet Things Mag., 2020)

ST-InNet: Deep Spatio-Temporal Inception Networks for Traffic Flow Prediction in Smart Cities. - Fei Dai 002; Penggui Huang; Qi Mo; Xiaolong Xu 001; Muhammad Bilal 003; Houbing Song (IEEE Trans. Intell. Transp. Syst., 2022)

Hybrid Deep Learning Approach for Traffic Speed Prediction. - Fei Dai 002; Pengfei Cao; Penggui Huang; Qi Mo; Bi Huang (Big Data, 2024)