Publications

(2019). Particle Filter Recurrent Neural Networks. arXiv preprint arXiv:1905.12885, 2019.

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(2019). Differentiable Algorithm Networks for Composable Robot Learning. Robotics: Science and Systems, 2019 (Best System Paper and Best Student Paper finalist).

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(2018). PF-LSTM: Belief State Particle Filter for LSTM. In RLPO Workshop, Advances in Neural Information Processing Systems (NeurIPS), 2018.

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(2017). BEEP: a Bayesian perspective early stage event prediction model for online social networks. IEEE International Conference on Data Mining (ICDM), 2017.

(2017). Trust-based time series data model for mobile crowdsensing. 2017 IEEE International Conference on Communications (ICC).

Teaching

  • CS3243: Introduction to Artificial Intelligence (Spring 2018)
  • CS6244: Robot Motion Planning and Control (Winter 2018)

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