no code implementations • 22 Nov 2022 • Khurram Yamin, Haoyun Wang, Benoit Montreuil, Yao Xie
In this paper, we attempt to detect an inflection or change-point resulting from the Covid-19 pandemic on supply chain data received from a large furniture company.
1 code implementation • ICLR 2022 • Shixiang Zhu, Haoyun Wang, Zheng Dong, Xiuyuan Cheng, Yao Xie
In this paper, we introduce a novel and general neural network-based non-stationary influence kernel with high expressiveness for handling complex discrete events data while providing theoretical performance guarantees.
no code implementations • 10 Feb 2021 • Haoyun Wang, Liyan Xie, Yao Xie, Alex Cuozzo, Simon Mak
We present a new CUSUM procedure for sequentially detecting change-point in the self and mutual exciting processes, a. k. a.
no code implementations • 13 Dec 2020 • Siwei Wang, Haoyun Wang, Longbo Huang
Existing results on this model require prior knowledge about the reward interval size as an input to their algorithms.
no code implementations • NeurIPS 2020 • Haoyun Wang, Liyan Xie, Alex Cuozzo, Simon Mak, Yao Xie
Multivariate Hawkes processes are commonly used to model streaming networked event data in a wide variety of applications.
2 code implementations • 16 Sep 2019 • Zishuo Zhao, Haoyun Wang
Music is a mysterious language that conveys feeling and thoughts via different tones and timbre.