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  • Education
    Massachusetts Institute of Technology, Cambridge, MA
    • Ph.D. Student in Department of Electrical Engineering and Computer Science (EECS)
    • Master of Science in Electrical Engineering and Computer Science (EECS), June 2019
    • Cumulative GPA: 5.00/5.00
    Duke University, Durham, NC
    • Bachelor of Science in Engineering, Dec. 2016
    • Cumulative GPA: 3.98/4.00
    • Major: Computer Science
      Advisor: George Konidaris
      Thesis: Representing and Learning Complex Object Interactions [PDF]
    • Major: Electrical & Computer Engineering
      Advisor: Kris Hauser
      Thesis: Incorporating Side-Channel Information into Convolutional Neural Networks for Robotic Tasks [PDF]
    • Minor: Statistical Science
  • Publications
    Preprints:
    1. Yilun Zhou, Derrik Asher, Nicholas Waytowich, and Julie Shah. On Memory Mechanism in Multi-Agent Reinforcement Learning. [arxiv]
    Peer-Reviewed Conference Publications:
    1. Yilun Zhou, Steven Schockaert, and Julie Shah. Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness. The Web Conference (WWW), May 2019. (Acceptance rate: 18%) [Paper PDF]
    2. Yilun Zhou and Kris Hauser. Incorporating Side-Channel Information into Convolutional Neural Networks for Robotic Tasks. IEEE International Conference on Robotics and Automation (ICRA), May 2017. (Acceptance rate: 41%) [Paper PDF] [Website]
    3. Yilun Zhou and George Konidaris. Representing and Learning Complex Object Interactions. Robotics: Science and Systems XII (RSS), June 2016. (Acceptance rate: 20.6%) [Paper PDF] [Poster PDF] [Videos]
    Peer-Reviewed Journal Publications:
    1. Yilun Zhou, Benjamin Burchfiel, and George Konidaris. Representing, Learning, and Controlling Complex Object Interactions. Autonomous Robots (AuRo), Apr. 2018. [Paper PDF]
    2. Kris Hauser and Yilun Zhou. Asymptotically Optimal Planning by Feasible Kinodynamic Planning in a State-Cost Space. IEEE Transactions on Robotics (TRO), vol. 32, no. 6, pp. 1431-1443, Dec. 2016. [Paper PDF] [Website]
    Workshop Publications:
    1. Yilun Zhou, Steven Schockaert and Julie Shah. Learning Household Task Knowledge from WikiHow Descriptions. International Joint Conference on Artificial Intelligence (IJCAI) Workshop on Semantic Deep Learning, Aug. 2019. [Paper PDF]
    2. Yilun Zhou and Kris Hauser. 6DOF Grasp Planning by Optimizing a Deep Learning Scoring Function. Robotics: Science and Systems (RSS) Workshop on Revisiting Contact - Turning a Problem into a Solution, July 2017. [Paper PDF] [Poster PDF]
  • Award
    1. Outstanding Undergraduate Teaching Award
      • Teaching Assistant in Department of Electrical & Computer Engineering
      • Nomination based on student evaluation and selection by department faculty
    2. Barry M. Goldwater Scholarship
      • Honorable Mention
      • The most prestigious national scholarship for undergraduate students aspiring to conduct research in math, science and engineering
      • Including winners and honorable mentions, approximately 500 awarded nationally each year
    3. Faculty Scholars Award
      • Honorable Mention
      • Awarded by the Academic Council in recognition of the highest degree of undergraduate academic excellence and independent scholarship
      • Nomination of candidates only through Departments and Programs
      • Including winners and honorable mentions, three awarded this year
      • News Release: http://today.duke.edu/2016/04/facscholars16