Degrees

PhD, Computer Science, Brigham Young University, Provo, UT, USA, 2012-2016

MS, Control Theory and Control Engineering, Tongji University, Shanghai, China, 2008

BS, Automation, Tongji University, Shanghai, China, 2005

Professional Employment

Postdoc Research Associate, University of Washington, Seattle, 2017.8-Present

Postdoc Fellow, Robotics Institute, Carnegie Mellon University, Pittsburgh, 2016.9-2017.8

Research Assistant, Computer Science Department, Brigham Young University, Provo, 2012.9-2016.8

Visiting Graduate Student, Robotics and Artificial Intelligence Lab, University of Rochester, Rochester, 2015.7-2015.8

Instructor, Computer Science Department, Brigham Young University, Provo, 2015.5-2015.6

Software Engineer, QAD Inc., Shanghai, 2010-2008

Software Engineer, Creative Technology Ltd., Shanghai, 2008-2010

Research Assistant, Control Science and Engineering Department, Tongji University, Shanghai, 2005-2008

Teaching Experience

CS470 - Introduction to Artificial Intelligence, Spring 2015

Publications

• Jeongseok Lee, Daqing Yi and Siddhartha Srinivasa, Sampling of Pareto-Optimal Trajectories using Progressive Objective Evalution in Multi-Objective Motion Planning IROS 2018, October 2018. [Paper]
• Daqing Yi, Kevin Seppi and Michael Goodrich, Understanding Particle Swarm Optimization: A Component-Decomposition Perspective CEC 2018, July 2018. [Paper]
• Daqing Yi, Rohan Thakker, Cole Gulino, Oren Salzman and Siddhartha Srinivasa, Generalizing Informed Sampling for Asymptotically Optimal Sampling-based Kinodynamic Planning via Markov Chain Monte Carlo ICRA 2018, May 2018. [Paper]
• Daqing Yi, Shushman Choudhury and Siddhartha Srinivasa, Incorporating Qualitative Information into Quantitative Estimation via Sequentially Constrained Hamiltonian Monte Carlo Sampling IROS 2017, September 2017.[Paper]
• Daqing Yi, Michael A. Goodrich, Thomas M. Howard and Kevin D. Seppi, Topology-Aware RRT* for Parallel Optimal Sampling in Topologies 2017 IEEE SMC, October 2017.(Best Paper Winner)[Paper]
• Daqing Yi, Thomas M. Howard, Michael A. Goodrich and Kevin D. Seppi, Expressing Homotopic Requirements for Mobile Robot Navigation through Natural Language Instructions IROS 2016, October 2016. [Paper]
• Daqing Yi, Instructing Quantitative Path-Planning by Qualitative Language Expression. IJCAI 2016 Doctoral Consortium,July 2016.[Paper]
• Meher T. Shaikh, Michael A. Goodrich, Daqing Yi and Joseph Hoehne, Interactive multi-Objective Path Planning through a Palette-based User Interface. Proc. SPIE 9837, Unmanned System Technology XVIII, May 2016.[Paper]
• Daqing Yi, Michael A. Goodrich and Kevin D. Seppi, Homotopy-Aware RRT*: Toward Human-Robot Toplogical Path-Planning. HRI 2016,March 2016.[Paper][Preprint] [Slides]
• Meher Shaikh, Michael A. Goodrich and Daqing Yi, Adverb Palette: GUI-based Support for Human Interaction in Multi-Objective Path-Planning. HRI 2016 - Late Break Report,March 2016.[Paper]
• Daqing Yi, Michael A. Goodrich and Kevin D. Seppi, MORRF*: Sampling-based Multi-Objective Path Planning. IJCAI 15,July 2015. [Paper] [Preprint] [Slides] [Poster]
• Daqing Yi, Kevin D. Seppi and Michael A. Goodrich, Input-to-State Stability Analysis on Particle Swarm Optimization. GECCO 15,July 2015. [Paper] [Preprint] [Slides]
• Daqing Yi, Michael A. Goodrich and Kevin D. Seppi, Informative Path Planning with a Human Path Constraint. 2014 IEEE SMC, October 2014. [Paper] [Preprint] [Slides]
• Daqing Yi and Michael A. Goodrich, Supporting task-oriented collaboration in human-robot teams using semantic-based path planning. Proc. SPIE 9084, Unmanned Systems Technology XVI, 90840D, June 2014.[Paper] [Preprint]
• Michael A. Goodrich and Daqing Yi, Toward Task-Based Mental Models of Human-Robot Teaming: A Bayesian Approach. Virtual Augmented and Mixed Reality. Designing and Developing Augmented and Virtual Environments, July 2013. [Paper] [Preprint]
• Daqing Yi, Ping Jiang, Edward Mallen, Xiaonian Wang and Jin Zhu, Enhancement of image luminance resolution by imposing random jitter. Neural Computing & Applications, vol. 20, 2011. [Paper]
• Daqing Yi, Ping Jiang and Jin Zhu, A Simple Neural Network for Enhancement of Image Acuity by Fixational Instability. Advances in Neural Networks-ISNN 2009, Lecture Notes in Computer Science, May 2009. [Paper]
• Daqing Yi, Jian Wu and Ping Jiang, Iterative learning control for visual servoing with unknown homography matrix. ICCA 2007,May 2007. [Paper]