activity
20162025
most citedK-medoids Clustering of Data Sequences with Composite Distributions

58 citations · 63 across the 4 of their papers we have counts for

collaborators

5 papers

physics.geo-ph2025

Physics-Driven Self-Supervised Deep Learning for Free-Surface Multiple Elimination

Jing Sun, Tiexing Wang, Eric Verschuur +1

In recent years, deep learning (DL) has emerged as a promising alternative approach for various seismic processing tasks, including primary estimation (or multiple elimination), a…

cs.LG2020★ 2 cited

Harvesting Ambient RF for Presence Detection Through Deep Learning

Yang Liu, Tiexing Wang, Yuexin Jiang +1

This paper explores the use of ambient radio frequency (RF) signals for human presence detection through deep learning. Using WiFi signal as an example, we demonstrate that the cha…

cs.LG2018★ 58 cited

K-medoids Clustering of Data Sequences with Composite Distributions

Tiexing Wang, Qunwei Li, Donald J. Bucci +3

This paper studies clustering of data sequences using the k-medoids algorithm. All the data sequences are assumed to be generated from \emph{unknown} continuous distributions, whic…

cs.IT2017★ 2 cited

Nonparametric Composite Hypothesis Testing in an Asymptotic Regime

Qunwei Li, Tiexing Wang, Donald J. Bucci +3

We investigate the nonparametric, composite hypothesis testing problem for arbitrary unknown distributions in the asymptotic regime where both the sample size and the number of hyp…

cs.RO2016★ 1 cited

Autonomous Localization and Mapping Using a Single Mobile Device

Tiexing Wang, Fangrong Peng, Biao Chen

This paper considers the problem of simultaneous 2-D room shape reconstruction and self-localization without the requirement of any pre-established infrastructure. A mobile device…