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Articles 1–20. Oklahoma State University - Cited by 2,388 - control - robotics - estimation - planning.
I am a Machine Learning Research Scientist at Apple MLR, primarily working on NLP and Audio pretraining. I am working closely with Navdeep Jaitly in Samy Bengio ‘s team. Currently, I am interested in large-scale text-speech modeling, long-form sequence modeling, and factualness, consistency, and robustness of language models.
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Ph.D., Electrical Engineering Rensselaer Polytechnic Institute, 2009 M.S., Electrical Engineering Rensselaer Polytechnic Institute, 2007 B.E., Automation University of Science and Technology of China, 2005
Unmanned systems in GPS-denied and disturbed environmentsMulti-agent systemsNonlinear and adaptive controModeling Atmospheric Turbulence and its Impact on UAS Navigation for Unmanned System TrafficAssociate Editor for the IEEE Control System Letters (2021)Associate Editor for the IEEE Control System Society ConferencesMember of IEEE Technical Committee on Manufacturing Automation and Robotic ControlCo-organized a joint meeting of ISA sections from Tulsa, OSU and Oklahoma CityOklahoma State University Mercury Robotics Society, Faculty co-adviserOklahoma State University Automation Society International Society of Automation (ISA), Faculty adviserGraduate adviserUndergraduate research adviserK. Coleman, H. Bai and C. N. Taylor. Extended Invariant-EKF Designs for State and Additive Disturbance Estimation. Accepted by Automatica, 2020.G. Jing, He Bai, J. George, and A. Chakrabortty. Model-Free Reinforcement Learning of Minimal-Cost Variance Control. IEEE Control System Letters, vol. 4, no. 4, pp. 916-921, 2020.H. Bai and C. N. Taylor. Future Uncertainty-based Control for Relative Navigation in GPS-denied Environments. IEEE Transactions on Aerospace and Electronic Systems, vol. 56, no. 5, pp. 3491-3501, 2...S. Allison, H. Bai and B. Jayaraman. Wind estimation using quadcopter motion: A machine learning approach. Aerospace Science and Technology, Elsevier, vol. 98, 2020.He Bai | Papers With Code. Search Results for author: He Bai. Found 35 papers, 9 papers with code. Date Published. Cross-Lingual Training of Dense Retrievers for Document Retrieval. no code implementations • EMNLP (MRL) 2021 • Peng Shi , Rui Zhang , He Bai , Jimmy Lin. Dense retrieval has shown great success for passage ranking in English.
Biography. I am a researcher working on Natural Language Processing at Apple. Before that, I worked with Ming Li on language modeling and unsupervised methods at Uwaterloo. In general, my research investigates how to represent languages for computing.
Director: Dr. He Bai. Experience and Education. Associate Professor, Mechanical & Aerospace Engineering, Oklahoma State University, Stillwater, OK, 2021-present. Assistant Professor, Mechanical & Aerospace Engineering, Oklahoma State University, Stillwater, OK, 2015-2021.
View He Bai’s profile on LinkedIn, a professional community of 1 billion members. Machine Learning Scientist @Apple · Experience: Apple · Education: University of Waterloo · Location: Santa...
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