Efficient Processing of Multi-way Joins Using MapReduce. - LinLin Ding; Siping Liu; Yu Liu; Aili Liu; Baoyan Song (ICYCSEE, 2015)

Energy-efficient packet transmission with unidirectional-valve scheduling. - Siping Liu; Changming Zhang; Xiaoxin Liu; Yuezhi Zhou; Yaoxue Zhang (IET Commun., 2015)

Delay-Based Weighted Proportional Fair Algorithm for LTE Downlink Packet Scheduling. - Siping Liu; Changming Zhang; Yue-Zhi Zhou; Yaoxue Zhang (Wirel. Pers. Commun., 2015)

IoT Data Analytics Using Deep Learning. - Xiaofeng Xie; Di Wu 002; Siping Liu; Renfa Li (CoRR, 2017)

Unidirectional-Valve Based Scheduling for Energy-Efficient Packet Transmission. - Siping Liu; Yuezhi Zhou; Yaoxue Zhang (Wirel. Pers. Commun., 2017)

Real-Time Depth Estimation with an Optimized Encoder-Decoder Architecture on Embedded Devices. - Xiaohan Tu; Cheng Xu 001; Siping Liu; Guoqi Xie; Renfa Li (HPCC/SmartCity/DSS, 2019)

Learning Depth for Scene Reconstruction Using an Encoder-Decoder Model. - Xiaohan Tu; Cheng Xu 001; Siping Liu; Guoqi Xie; Jing Huang 012; Renfa Li; Junsong Yuan 001 (IEEE Access, 2020)

DeepBrain: Towards Personalized EEG Interaction through Attentional and Embedded LSTM Learning. - Di Wu 002; Huayan Wan; Siping Liu; Weiren Yu; Zhanpeng Jin; Dakuo Wang (CoRR, 2020)

LiDAR Point Cloud Recognition and Visualization with Deep Learning for Overhead Contact Inspection. - Xiaohan Tu; Cheng Xu 001; Siping Liu; Shuai Lin; Lipei Chen; Guoqi Xie; Renfa Li (Sensors, 2020)

Optimized Monocular Depth Estimation With Reparameterization on Embedded Devices. - Siping Liu; Renfa Li; Xiaohan Tu; Guoqi Xie; Cheng Xu 001 (HPCC/DSS/SmartCity/DependSys, 2021)

An Optimized Deep Neural Network for Overhead Contact System Recognition from LiDAR Point Clouds. - Siping Liu; Xiaohan Tu; Cheng Xu 001; Lipei Chen; Shuai Lin; Renfa Li (Remote. Sens., 2021)

Efficient Monocular Depth Estimation for Edge Devices in Internet of Things. - Xiaohan Tu; Cheng Xu 001; Siping Liu; Renfa Li; Guoqi Xie; Jing Huang 012; Laurence Tianruo Yang (IEEE Trans. Ind. Informatics, 2021)

An Energy-Constrained Optimization-Based Structured Pruning Method for Deep Neural Network Compression. - Siping Liu; Qiang Li 034; Bo Peng; Yanping Qiao; Maosong Lin; Qiang Zeng (ICCT, 2022)

Deep neural networks with attention mechanism for monocular depth estimation on embedded devices. - Siping Liu; Xiaohan Tu; Cheng Xu 001; Renfa Li (Future Gener. Comput. Syst., 2022)

Lightweight Monocular Depth Estimation on Edge Devices. - Siping Liu; Laurence Tianruo Yang; Xiaohan Tu; Renfa Li; Cheng Xu 001 (IEEE Internet Things J., 2022)

Point cloud segmentation of overhead contact systems with deep learning in high-speed rails. - Xiaohan Tu; Chuanhao Zhang; Siping Liu; Cheng Xu 001; Renfa Li (J. Netw. Comput. Appl., 2023)

Fast Drone Detection With Optimized Feature Capture and Modeling Algorithms. - Xiaohan Tu; Chuanhao Zhang; Haiyan Zhuang; Siping Liu; Renfa Li (IEEE Access, 2024)

Accelerated Feature Extraction and Refinement for Improved Aerial Scene Categorization. - Xiaohan Tu; Laurence Tianruo Yang; Siping Liu; Renfa Li (IEEE Trans. Geosci. Remote. Sens., 2024)