I am an Associate Professor in the Computer Science Department with the School of Computer Science at Carnegie Mellon University. In addition to my full-time role at CMU, I also serve as Chief Scientist of AI Research for the Bosch Center for AI (BCAI), working in the Pittsburgh Office. BCAI also generously provides funding for much of the research in my group.

My group’s work focuses on machine learning, optimization, and control. Specifically, much of our work aims at making deep learning algorithms safer, more robust, and more explainable; to these ends, we have worked on methods for training provably robust deep learning systems, and including more complex “modules” (such as optimization solvers) within the loop of deep architectures. We also focus on several application domains, with a particular focus on applications in smart energy and sustainability domains.

Recent News

  • 9/19: Five papers at NeurIPS, by Shaojie Bai, Brandon Amos, Gaurav Manek, Vaishnavh Nagarajan, and Billy Li.
  • 6/19: Four papers at ICML, by Eric Wong, Jeremy Cohen, Po-Wei Wang, Priya Donti, and Billy Li.
  • 5/19: Two papers at ICLR, by Shaojie Bai and Vaishnavh Nagarajan.
  • 1/19: Two papers presented at AAAI 2019, by Po-wei Wang, and Chun Kai Ling.
  • 12/18: Three papers presented at NeurIPS 2018, by Eric Wong, Filipe de A. Belbute-Peres, and Brandon Amos.
  • 12/18: Tutorial on Adversarial Robustness presented at NeurIPS 2018.
  • 7/18: Eric Wong to present Provable defenses against adversarial examples via the convex outer adversarial polytope at ICML 2018.

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