Yao Yeboah (Ph.D.)
Principal Algorithm Engineer
Huawei Technologies Co. Ltd.
Previously:
Assistant Professor
South China University of Technology
About Me
I am a Principal Algorithm Engineer/Team Lead in the 2012 Labs, Huawei Technologies Co. Ltd.
My research interests are at the intersection of Deep Learning, Computational Geometry, Generative AI, and how they apply to XR and Immersive Content Generation.
Recent Updates
Assitant Professor at the School of Automation, South China University of Technology from 2017 to 2019.
Session chair for Artificial Intelligence and Robotics Session at ICRCA 2018.
Our paper on Semantic Scene Segmentation for Indoor Robot Navigation via Deep Learning accpeted to ICRCA 2018.
Technical committee member at ICRMV 2018.
Our paper on Autonomous Indoor Robot Navigation via Siamese Deep Convolutional Neural Network accpeted to AIPR 2018.
Technical committee member at ICDLT 2018.
Our paper on Multi-Objective Deep CNN for Outdoor Auto-Navigation accpeted to ICDLT 2018.
Visiting researcher at the School of Automation Science and Engineering of South China University of Technology.
Selected Publications
2020
Wang Dongliang and Wei Wu and Yeboah Yao and Li Yanjie and Gao Yong "A Robust Model Predictive Control Strategy for Trajectory Tracking of Omni-directional Mobile Robots". Journal of Intelligent & Robotic Systems. PDF
2019
Wei Wu and Zhang Jie and Wang Dongliang and Yeboah Yao and He, Shuai. "Cascaded Multitask Convolutional Network for Robot Formation". In Proc. International Conference on Innovation in Artificial Intelligence. (ICIAI). pp. 213-217 2019. PDF
Wei Wu and Sun Jinquan and Gao Yong and Yeboah Yao and Huang Linqing "The System Design and Gait Planning for Walking-Climbing Hexapod". In Proc. International Conference on Innovation in Artificial Intelligence. (ICIAI). pp. 208-212 2019. PDF
Wei Wu and Pang Jiankun and Yeboah Yao and Xia Shoucheng and Peng Hang "Adaptive Motion Control via Flexible Joint Robot Model Linearization". In Proc. International Conference on Innovation in Artificial Intelligence. (ICIAI). pp. 223-228 2019. PDF
Wei Wu and Chen Yao and Wang Dongliang and Yeboah Yao and He, Shuai. "Omni-directional Mobile Robot Formation Control Based on Delayed Neural Network Optimized Model Predictive Approach". In Proc. International Conference on Innovation in Artificial Intelligence. (ICIAI). pp. 218-222 2019. PDF
Yuan Yinlong and Yu Zhuliang and Gu Zhenghui and Yeboah Yao and Wei Wu and Deng Xiaoyan and Li Jingcong and Li Yuanqing. "A novel multi-step Q-learning method to improve data efficiency for deep reinforcement learning". Knowledge-Based Systems. PDF
2018
Yao Yeboah and Cai Yanguang and Wei Wu and Shuai He. "Autonomous Indoor Robot Navigation via Siamese Deep Convolutional Neural Network". In Proc. Artificial Intelligence and Pattern Recognition (AIPR)- ACM Proceedings. 2018. PDF
Madah-Ul-Mustafa and Zhu Liang Yu and Yao Yeboah. "A Robust Vehicle Tracking Method for Traffic Applications". International Journal of Intelligent Information Processing (IJIIP). 8(1) pp. 1-9 June 2018. PDF
Prince Owusu-Agyeman and Xie Wei and Yao Yeboah. "Feature-Centric Image Enhancement via Dehazing". International Journal of Computer and Electrical Engineering (IJCEE). 10(2) pp. 146-157 June 2018. PDF
Yao Yeboah and Cai Yanguang and Wei Wu and Zeyad Farisi. "Semantic Scene Segmentation for Indoor Robot Navigation via Deep Learning". In Proc. Internaitonal Conference on Robotics Control and Automation (ICRCA)- ACM Proceedings. 2018. PDF
Wei Wu and Shuai He and Dongliang Wang and Yao Yeboah. "Multi-Objective Deep CNN for Outdoor Auto-Navigation". In Proc. Internaitonal Conference on Deep Learning Technology (ICDLT)- ACM Proceedings. 2018. PDF
2017
Rongbo Hou and Wu Wei and Yeboah Yao and Ting Huang. "Sparse Direct Robot Localization Method Based on RGB-D Camera". In Proc. International Conference on Electrical, Control and Automation Engineering (ECAE 2017)-Atlantis Press. 2017. PDF
Yao Yeboah and Zhuliang Yu and Wei Wu. "Towards Occlusion Handling in Visual Tracking-by-Detection Systems". International Journal of Future Computer and Communication (IJFCC). 6(1) pp. 6-14 March 2017. PDF
2016
Yao Yeboah and Zhuliang Yu and Wei Wu. "Robust and Persistent Visual Tracking-by-Detection for Robotic Vision Systems". International Journal of Machine Learning and Computing (IJMLC). 6(3) pp. 196-204 June 2016. PDF
2015
Yao Yeboah and Wei Wu and Wang Jun Jie and Zhu Liang Yu. "Robotic Crack Detection and Classification via AdaBoost-RVM Implementation". International Journal of Mechanical Engineering and Robotics Research (IJMERR). 4(4) pp. 361-367 October 2015. PDF
2014
Wei Wu and Pingping Jin and Yana Zhang and Yao Yeboah. "Real-time multi-object tracking by integrating camshift, SVM, and object interaction model into particle filter". In Proc. International Conference on Computational Intelligence and Industrial Engineering (CIIE).- WIT Press. 2014. PDF
2013
Bin Li and Kan Chen and Lianfang Tian and Yao Yeboah and Shanxing Ou. "Detection of Pulmonary Nodules in CT Images Based on Fuzzy Integrated Active Contour Model and Hybrid Parametric Mixture Model". Computational and Mathematical Methods in Medicine. 2013 (515386). March 2013. PDF
Yao Yeboah and Hei Xiaojun. "Evaluating the performance of cloud services in a browser-based network measurement platform". In Proc. 19th IEEE International Conference on Networks (ICON)-IEEE. 2013. PDF
2011
Yao Yeboah and Hei Xiaojun. "A Measurement Study of Application Layer Latency". In Proc. International Conference on Computational Intelligence and Software Engineering (CiSE). 2011. PDF