Thank you for your interest in my work on approximate inference!
APPLICATION OF COMPUTATIONAL INTELLIGENCE IN MODELING AND OPTIMIZATION OF HVAC SYSTEMS by Mingyang Li A thesis submitted in partial fulfillment of the requirements for the Master of Science degree in Industrial Engineering in the Graduate College of The University of Iowa December 2009 Thesis Supervisor: Professor Andrew Kusiak. I am grateful to Mingyang Li for providing statistical support. V and guidance. A special thanks goes to the staff of Willow Breast Cancer Support Canada for. This thesis is dedicated to my father, who taught me that with hard work, anything is possible. Your love, encouragement and support have meant more than you will ever know.
Here you can find the tex files and figures used to generate the pdf file of my PhD thesis:
PhD Thesis, Department of Engineering, University of Cambridge
If any of the materials is used in your research/work, consider citing the thesis. Also do NOT distribute the compiled thesis pdf files with any unauthorised modifications of text, figures and tables.
Citing the Thesis
Acknowledgement
I have an acknowlegdement page in the thesis to thank my supervisor, my collaborators so far and some senior researchers. I wanted to put these people's names here again (in alphabetical order), without them I can never have finished this thesis and many of my other papers.
John Bradshaw, Thang Bui, Yarin Gal, Zoubin Ghahramani, Wenbo Gong, Daniel Hernandez-Lobato, Jose Miguel Hernandez-Lobato, Qiang Liu, Chao Ma, Stephan Mandt, Cuong Nguyen, Sebastian Nowozin, Ulrich Paquet, Mark Rowland, Yash Sharma and Martin Szummer.
Of course I would like to thank my fantastic PhD supervisor Rich Turner, for his detailed guidance in my first two years, and his generosity of giving me complete freedom of research in the last three years.
Journal Articles:
T. Schneider, M. Li, C. Cadena, J. Nieto, R. Siegwart, “Observability-aware Self-Calibration of Visual and Inertial Sensors for Ego-Motion Estimation,', IEEE Sensor, 2019
S. Yang, L. An, Y. Lei, M. Li, N. Thakoor, B. Bhanu, Y. Liu, 'A dense flow-based framework for real-time object registration under compound motion,' Pattern Recognition, 2017
M. Li, A.I. Mourikis, 'Vision-aided Inertial Navigation with Rolling-Shutter Cameras,' International Journal of Robotics Research, 2014.
M. Li, A.I. Mourikis, 'Online Temporal Calibration for Camera-IMU Systems: Theory and Algorithms,' International Journal of Robotics Research, Volume 33, No 6, June 2014 [PDF]
M. Li, A.I. Mourikis, 'High-Precision, Consistent EKF-based Visual-Inertial Odometry,' International Journal of Robotics Research, Volume 32, No 6, May 2013 [PDF].
Conference Papers:
M. Zhang, Y. Chen, M. Li, “Signed Distance Field based 2D Relocalization and Map Update in Dynamic Environments,” Proceedings of the American Control Conference (ACC), 2019
Y. Song, Y. Tian, G. Wang, M. Li, “2D LiDAR Map Prediction via Estimating Optical Flow with GRU,” Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2019
X. Zheng, Z. Moratto, M. Li, A.I. Mourikis, “Photometric Patch-Based Visual-Inertial Odometry,” Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2017
T. Schneider, M. Li, M. Burri, J. Nieto, R. Siegwart, I. Gilitschenski, “Visual-Inertial Self-Calibrationon Informative Motion Segments,” Proceedings of the IEEE InternationalConference on Robotics and Automation (ICRA), 2017.
X. Zheng, Z. Moratto, M. Li, A.I. Mourikis, “Photometric Patch-Based Visual-InertialOdometry,” Proceedings of the IEEE International Conference on Robotics and Automation(ICRA), 2017
X. Zheng, M. Li, A.I. Mourikis: 'Decoupled Representation of the Error and Trajectory Estimates for Efficient Pose Estimation,' Proceedings of the Robotics: Science and Systems Conference, Rome, Italy, June 2015.
M. Li, A.I. Mourikis, 'A Convex Formulation for Motion Estimation using Visual and Inertial Sensors,' Proceedings of Workshop on Multi View Geometry in Robotics at the Robotics: Science and System Conference, Berkeley, CA, USA, 2014 [PDF].
M. Li, H. Yu, X. Zheng, A.I. Mourikis, 'High-fidelity Sensor Modeling and Self-Calibration in Vision-aided Inertial Navigation,' Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, 2014 (Finalist, Best Vision Paper Award)[PDF][Supplemental Materials].
M. Li, B. Kim, A.I. Mourikis, 'Real-time Motion Tracking on a Cellphone using Inertial Sensing and a Rolling Shutter Camera,' Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Karlsruhe, Germany, May 2013 [PDF][Videos and Newer Results].
M. Li, A.I. Mourikis, '3-D Motion Estimation and Online Temporal Calibration for Camera- IMU Systems,' Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Karlsruhe, Germany, May 2013 [PDF].
M. Li, A.I. Mourikis, 'Vision-aided Inertial Navigation for Resource-Constrained Systems,' Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Algarve, Portugal, October 2012 [PDF].
M. Li, A.I. Mourikis, 'Optimization-Based Estimator Design for Vision-Aided Inertial Navigation ,' Proceedings of the Robotics: Science and Systems Conference (RSS), Sydney, Australia, July 2012 [PDF][Supplemental Materials].
M. Li, A.I. Mourikis, 'Improving the Accuracy of EKF-based Visual-Inertial Odometry,' Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), St Paul, MN, USA, May 2012 [PDF].
T. Yap, M. Li, A.I. Mourikis, C.R. Shelton, 'A Particle Filter for Monocular Vision-aided Odometry,' Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Shanghai, China, May 2011 [PDF].
Patents:
M. Li, M. Zack, J. Hesch, 'Fault Detection in Camera-IMU Estimation System,' US Patent, 2017
M. Li, A.I. Mourikis, 'Real-Time Pose Estimation System Using Inertial and Feature Measurements,' US Patent 14279123, Sep., 2014
M. Ramachandran, A. Ramanandan, C. Brunner, A. Tyagi, M. Chari, M. Li, 'Updating filter parameters of a system,' US Patent 14497135, Sep., 2014
A.I. Mourikis, M. Li, 'Method for Motion Estimation with a Scanning Camera,' US Provisional Patent Application, 2013
M. Li, A.I. Mourikis, '3D-Motion Estimation and Online Temporal Calibration for Camera-IMU Systems,' US Provisional Patent Application, 2013
Technical reports:
M. Li, A.I. Mourikis, 'Consistency of EKF-based Visual-Inertial Odometry,' Technical Report, May, 2012 [PDF].