Siping Liu

According to our database, Siping Liu authored at least 18 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

Fast Drone Detection With Optimized Feature Capture and Modeling Algorithms.

Xiaohan Tu, Chuanhao Zhang, Haiyan Zhuang, Siping Liu, Renfa Li

IEEE Access, 2024

2023

Point cloud segmentation of overhead contact systems with deep learning in high-speed rails.

Xiaohan Tu, Chuanhao Zhang, Siping Liu, Cheng Xu, Renfa Li

J. Netw. Comput. Appl., July, 2023

2022

Lightweight Monocular Depth Estimation on Edge Devices.

Siping Liu, Laurence Tianruo Yang, Xiaohan Tu, Renfa Li, Cheng Xu

IEEE Internet Things J., 2022

Deep neural networks with attention mechanism for monocular depth estimation on embedded devices.

Siping Liu, Xiaohan Tu, Cheng Xu, Renfa Li

Future Gener. Comput. Syst., 2022

An Energy-Constrained Optimization-Based Structured Pruning Method for Deep Neural Network Compression.

Siping Liu, Qiang Li, Bo Peng, Yanping Qiao, Maosong Lin, Qiang Zeng

Proceedings of the 22nd IEEE International Conference on Communication Technology, 2022

2021

Efficient Monocular Depth Estimation for Edge Devices in Internet of Things.

Xiaohan Tu, Cheng Xu, Siping Liu, Renfa Li, Guoqi Xie, Jing Huang, Laurence Tianruo Yang

IEEE Trans. Ind. Informatics, 2021

An Optimized Deep Neural Network for Overhead Contact System Recognition from LiDAR Point Clouds.

Siping Liu, Xiaohan Tu, Cheng Xu, Lipei Chen, Shuai Lin, Renfa Li

Remote. Sens., 2021

Optimized Monocular Depth Estimation With Reparameterization on Embedded Devices.

Siping Liu, Renfa Li, Xiaohan Tu, Guoqi Xie, Cheng Xu

Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

2020

LiDAR Point Cloud Recognition and Visualization with Deep Learning for Overhead Contact Inspection.

Xiaohan Tu, Cheng Xu, Siping Liu, Shuai Lin, Lipei Chen, Guoqi Xie, Renfa Li

Sensors, 2020

DeepBrain: Towards Personalized EEG Interaction through Attentional and Embedded LSTM Learning.

Di Wu, Huayan Wan, Siping Liu, Weiren Yu, Zhanpeng Jin, Dakuo Wang

CoRR, 2020

Learning Depth for Scene Reconstruction Using an Encoder-Decoder Model.

Xiaohan Tu, Cheng Xu, Siping Liu, Guoqi Xie, Jing Huang, Renfa Li, Junsong Yuan

IEEE Access, 2020

2019

Real-Time Depth Estimation with an Optimized Encoder-Decoder Architecture on Embedded Devices.

Xiaohan Tu, Cheng Xu, Siping Liu, Guoqi Xie, Renfa Li

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

2017

Unidirectional-Valve Based Scheduling for Energy-Efficient Packet Transmission.

Siping Liu, Yuezhi Zhou, Yaoxue Zhang

Wirel. Pers. Commun., 2017

IoT Data Analytics Using Deep Learning.

Xiaofeng Xie, Di Wu, Siping Liu, Renfa Li

CoRR, 2017

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

Energy-efficient packet transmission with unidirectional-valve scheduling.

Siping Liu, Changming Zhang, Xiaoxin Liu, Yuezhi Zhou, Yaoxue Zhang

IET Commun., 2015

Efficient Processing of Multi-way Joins Using MapReduce.

LinLin Ding, Siping Liu, Yu Liu, Aili Liu, Baoyan Song

Proceedings of the Intelligent Computation in Big Data Era, 2015