Liangliang Cheng

According to our database, Liangliang Cheng authored at least 9 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Simulation of Compact Spaceborne Lidar with High-Repetition-Rate Laser for Cloud and Aerosol Detection under Different Atmospheric Conditions.

Jie Ji, Chenbo Xie, Kunming Xing, Bangxin Wang, Jianfeng Chen, Liangliang Cheng, Xu Deng

Remote. Sens., June, 2023

Speaker-Independent Spectral Enhancement for Bone-Conducted Speech.

Liangliang Cheng, Yunfeng Dou, Jian Zhou, Huabin Wang, Liang Tao

Algorithms, March, 2023

Highly Sensitive Fiber-Optic SPR Urea Sensor Based on ZIF-8/Urease.

Liangliang Cheng, Wanlu Zheng, Ya-Nan Zhang, Xuegang Li, Yong Zhao

IEEE Trans. Instrum. Meas., 2023

2022

Design of Lidar Data Acquisition and Control System in High Repetition Rate and Photon-Counting Mode: Providing Testing for Space-Borne Lidar.

Liangliang Cheng, Chenbo Xie, Ming Zhao, Lu Li, Hao Yang, Zhiyuan Fang, Jianfeng Chen, Dong Liu, Yingjian Wang

Sensors, 2022

A Rotary Platform Mounted Doppler Lidar for Wind Measurements in Upper Troposphere and Stratosphere.

Ming Zhao, Chenbo Xie, Bangxin Wang, Kunming Xing, Jianfeng Chen, Zhiyuan Fang, Lu Li, Liangliang Cheng

Remote. Sens., 2022

2021

CNN-DST: ensemble deep learning based on Dempster-Shafer theory for vibration-based fault recognition.

Vahid Yaghoubi, Liangliang Cheng, Wim Van Paepegem, Mathias Kersemans

CoRR, 2021

Vibration-Based Condition Monitoring By Ensemble Deep Learning.

Vahid Yaghoubi, Liangliang Cheng, Wim Van Paepegem, Mathias Kersemans

CoRR, 2021

2020

A novel multi-classifier information fusion based on Dempster-Shafer theory: application to vibration-based fault detection.

Vahid Yaghoubi, Liangliang Cheng, Wim Van Paepegem, Mathias Kersemans

CoRR, 2020

Multi-Classifier selection-fusion framework: application to NDT of complex metallic parts.

Vahid Yaghoubi, Liangliang Cheng, Wim Van Paepegem, Mathias Kersemans

CoRR, 2020