Yang Mao

12 papers A* 1B 1C 2Journal 2Unranked 6
YearRankTypeTitle / Venue / Authors
2025 C conf
Deep Learning for Assembly Deviation Estimation: A UNet-based Contact Point Prediction Approach Using Mating Status Image.
INDIN
Jiarui Wang, Junfeng Wang, Yixin Dong, Yang Mao, Zijian Wang
2024 J jnl
A one-step calibration method without redundant parameters for a laser stripe sensor.
Artif. Intell. Eng. Des. Anal. Manuf.
Yang Mao, Yu He, Chengyi Yu, Honghui Zhang, Ke Zhang, Xiaojun Sun
2024 — conf
Building Rapid and Reconfigurable Wearable Circuit Prototype.
ISCID
Leijing Zhou, Xin An, Yiqing Zhang, Yang Mao
2023 — conf
A comparative study of two calibration methodologies for a laser stripe sensor.
CISP-BMEI
Huaqiang Yang, Huafeng Zhou, Yang Mao, Wenjing Li, Liang Yin, Chengyi Yu
2023 C conf
Co-optimization of Wastewater Treatment Plants Interconnected with Power Distribution System (iSPEC 2023).
iSPEC
Shiyi Shi, Zhenyu Wu, Yang Mao, Xia Zhao
2021 A* conf
Argument Mining Driven Analysis of Peer-Reviews.
AAAI
Michael Fromm, Evgeniy Faerman, Max Berrendorf, Siddharth Bhargava, Ruoxia Qi, Yao Zhang, Lukas Dennert, Sophia Selle, Yang Mao, Thomas Seidl
2021 — conf
Signal processing method for flight time measurement of gas ultrasonic flowmeter.
I2MTC
Dandan Zheng, Jianqiang Mei, Yang Mao, Zhibin Yang
2020 J jnl
Argument Mining Driven Analysis of Peer-Reviews.
CoRR
Michael Fromm, Evgeniy Faerman, Max Berrendorf, Siddharth Bhargava, Ruoxia Qi, Yao Zhang, Lukas Dennert, Sophia Selle, Yang Mao, Thomas Seidl
2018 — conf
Optimization of equivalent circuit model for piezoelectric ultrasonic transducer.
I2MTC
Dandan Zheng, Yang Mao, Ziqiang Cui, Sheng-Hong Lv
2018 — conf
Research on coupling method of flow field and acoustic field based on COMSOL for ultrasonic flowmeter.
I2MTC
Dan-Dan Zheng, Sheng-Hong Lv, Huaxiang Wang, Yang Mao
2011 — conf
Simulation and experiment study of dynamic performance for a hydraulic mount using AMESim.
EMEIT
Tianfei Ma, Yang Mao, Jiehong Hu, Dengfeng Wang, Jing Chen
2008 B conf
Multi-sensor data fusion based on dynamic fuzzy neural network.
IJCNN
Yang Mao, Zhiguo Cao, Yi Zheng, Ruicheng Yan