3 citations · 4 across the 4 of their papers we have counts for
4 papers
Iteratively Preconditioned Gradient-Descent Approach for Moving Horizon Estimation Problems
Tianchen Liu, Kushal Chakrabarti, Nikhil Chopra
Moving horizon estimation (MHE) is a widely studied state estimation approach in several practical applications. In the MHE problem, the state estimates are obtained via the soluti…
Using Graphlet Spectrograms for Temporal Pattern Analysis of Virus-Research Collaboration Networks
Dimitris Floros, Tiancheng Liu, Nikos Pitsianis +1
We introduce a new method for temporal pattern analysis of scientific collaboration networks. We investigate in particular virus research activities through five epidemic or pandem…
Damping Effect on PageRank Distribution
Tiancheng Liu, Yuchen Qian, Xi Chen +1
This work extends the personalized PageRank model invented by Brin and Page to a family of PageRank models with various damping schemes. The goal with increased model variety is to…
Hyperspectral Image Classification and Clutter Detection via Multiple Structural Embeddings and Dimension Reductions
Alexandros-Stavros Iliopoulos, Tiancheng Liu, Xiaobai Sun
We present a new and effective approach for Hyperspectral Image (HSI) classification and clutter detection, overcoming a few long-standing challenges presented by HSI data characte…