no code implementations • AAAI Workshop AdvML 2022 • Shaojie Xu, Joel Vaughan, Jie Chen, Aijun Zhang, Agus Sudjianto
Our polytope traversing algorithm can be adapted to a wide range of applications related to robustness and interpretability.
no code implementations • 17 Nov 2021 • Shaojie Xu, Joel Vaughan, Jie Chen, Aijun Zhang, Agus Sudjianto
Although neural networks (NNs) with ReLU activation functions have found success in a wide range of applications, their adoption in risk-sensitive settings has been limited by the concerns on robustness and interpretability.
no code implementations • 9 Sep 2021 • Shaojie Xu, Joel Vaughan, Jie Chen, Agus Sudjianto, Vijayan Nair
Principal component analysis (PCA) is a well-known linear dimension-reduction method that has been widely used in data analysis and modeling.
no code implementations • 5 Jun 2019 • Svitlana Vyetrenko, Shaojie Xu
We demonstrate an application of risk-sensitive reinforcement learning to optimizing execution in limit order book markets.
1 code implementation • 19 Feb 2019 • Shaojie Xu, Sihan Zeng, Justin Romberg
Deep learning models have significantly improved the visual quality and accuracy on compressive sensing recovery.
no code implementations • 19 Feb 2019 • Shaojie Xu, Anvesha Amaravati, Justin Romberg, Arijit Raychowdhury
We propose a novel appearance-based gesture recognition algorithm using compressed domain signal processing techniques.
no code implementations • 26 May 2016 • Anvesha A, Shaojie Xu, Ningyuan Cao, Justin Romberg, Arijit Raychowdhury
In this paper we propose an energy-efficient camera-based gesture recognition system powered by light energy for "always on" applications.