2 citations · 2 across the 2 of their papers we have counts for
4 papers
Permutation Recovery on Manifold Data via Spectral Seriation
Yuehaw Khoo, Xin T. Tong, Wanjie Wang +1
Data points in many scientific experiments originate from an ordered structure, yet this ordering is often unavailable.We consider noisy data points with the correct ordering to be…
Gradient flow for finding E-optimal designs
Jieling Shi, Kim-Chuan Toh, Xin T. Tong +1
The -optimality criterion for a regression model maximizes the smallest eigenvalue of the information matrix and becomes non-differentiable when this eigenvalue has multiplicity…
Data-Driven Fire Modeling: Learning First Arrival Times and Model Parameters with Neural Networks
Xin Tong, Bryan Quaife
Data-driven techniques are being increasingly applied to complement physics-based models in fire science. However, the lack of sufficiently large datasets continues to hinder the a…
Large Scale Hierarchical Industrial Demand Time-Series Forecasting incorporating Sparsity
Harshavardhan Kamarthi, Aditya B. Sasanur, Xinjie Tong +4
Hierarchical time-series forecasting (HTSF) is an important problem for many real-world business applications where the goal is to simultaneously forecast multiple time-series that…