Preprints:
  1. Yilun Zhou, Serena Booth, Marco Tulio Ribeiro, and Julie Shah. Do Feature Attributions Correctly Attribute Features? [Paper PDF]
  2. Yilun Zhou, Serena Booth, Nadia Figueroa, and Julie Shah. RoCUS: Robot Controller Understanding via Sampling. [Paper PDF] [Code]
  3. Mycal Tucker, Yilun Zhou, and Julie Shah. Adversarially Guided Self-Play for Adopting Social Conventions. [Paper PDF]
Peer-Reviewed Conference Publications:
  1. Yilun Zhou, Adithya Renduchintala, Xian Li, Sida Wang, Yashar Mehdad, and Asish Ghoshal. Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms. Artificial Intelligence and Statistics (AISTATS), April 2021. (Acceptance rate: 30%) [Paper PDF] [Poster PDF] [Code] [Video]
  2. Serena Booth*, Yilun Zhou*, Ankit Shah, and Julie Shah. Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example. AAAI Conference on Artificial Intelligence (AAAI), February 2021. (Acceptance rate: 21%) [Paper PDF] [Poster PDF] [Code]
  3. 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] [Code]
  4. 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]
  5. 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), April 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, December 2016. [Paper PDF] [Website]
Workshop Publications:
  1. Serena Booth*, Ankit Shah*, Yilun Zhou*, and Julie Shah. Sampling Prediction-Matching Examples in Neural Networks: A Probabilistic Programming Approach. AAAI Conference on Artificial Intelligence (AAAI) Workshop on Statistical Relational AI, February 2020. [Paper PDF]
  2. 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, August 2019. [Paper PDF] [Code]
  3. 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]