Joseph Wang

Publication Activity (10 Years)

Years Active: 2010-2022
Publications (10 Years): 22

Top Topics

Satellite Imagery

Linear Programming

Top Venues

Publications

Sree Hari Krishnan Parthasarathi, Lu Zeng, Christin Jose, Joseph Wang
Wakeword Detection under Distribution Shifts. CoRR (2022)
Christin Jose, Joseph Wang, Grant P. Strimel, Mohammad Omar Khursheed, Yuriy Mishchenko, Brian Kulis
Latency Control for Keyword Spotting. CoRR (2022)
Sree Hari Krishnan Parthasarathi, Lu Zeng, Christin Jose, Joseph Wang
Wakeword Detection Under Distribution Shifts. TSD (2022)
Yuting Chen, Joseph Wang, Yannan Bai, Gregory D. Castañón, Venkatesh Saligrama
Probabilistic Semantic Retrieval for Surveillance Videos With Activity Graphs. IEEE Trans. Multim. 21 (3) (2019)
Tolga Bolukbasi, Joseph Wang, Ofer Dekel, Venkatesh Saligrama
Adaptive Neural Networks for Efficient Inference. ICML (2017)
Tolga Bolukbasi, Joseph Wang, Ofer Dekel, Venkatesh Saligrama
Adaptive Neural Networks for Fast Test-Time Prediction. CoRR (2017)
Zafar Takhirov, Joseph Wang, Marcia S. Louis, Venkatesh Saligrama, Ajay Joshi
Field of Groves: An Energy-Efficient Random Forest. CoRR (2017)
Marcia S. Louis, Michael Alosco, Benjamin Rowland, HuiHun Liao, Joseph Wang, Inga Koerte, Martha Shenton, Robert Stern, Ajay Joshi, Alexander P. Lin
Using Machine Learning techniques for identification of Chronic Traumatic Encephalopathy related Spectroscopic Biomarkers. AIPR (2017)
Yuting Chen, Joseph Wang, Yannan Bai, Gregory D. Castañón, Venkatesh Saligrama
Probabilistic Semantic Retrieval for Surveillance Videos with Activity Graphs. CoRR (2017)
Tolga Bolukbasi, Kai-Wei Chang, Joseph Wang, Venkatesh Saligrama
Resource Constrained Structured Prediction. AAAI (2017)
Feng Nan, Joseph Wang, Venkatesh Saligrama
Pruning Random Forests for Prediction on a Budget. NIPS (2016)
Tolga Bolukbasi, Kai-Wei Chang, Joseph Wang, Venkatesh Saligrama
Structured Prediction with Test-time Budget Constraints. CoRR (2016)
Feng Nan, Joseph Wang, Venkatesh Saligrama
Optimally Pruning Decision Tree Ensembles With Feature Cost. CoRR (2016)
Feng Nan, Joseph Wang, Venkatesh Saligrama
Pruning Random Forests for Prediction on a Budget. CoRR (2016)
Huanyu Ding, Eric Cristofalo, Joseph Wang, David A. Castañón, Eduardo Montijano, Venkatesh Saligrama, Mac Schwager
A multi-resolution approach for discovery and 3-D modeling of archaeological sites using satellite imagery and a UAV-borne camera. ACC (2016)
Zafar Takhirov, Joseph Wang, Venkatesh Saligrama, Ajay Joshi
Energy-Efficient Adaptive Classifier Design for Mobile Systems. ISLPED (2016)
Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama
Sensor Selection by Linear Programming. CoRR (2015)
Feng Nan, Joseph Wang, Venkatesh Saligrama
Feature-Budgeted Random Forest. ICML (2015)
Feng Nan, Joseph Wang, Venkatesh Saligrama
Max-Cost Discrete Function Evaluation Problem under a Budget. CoRR (2015)
Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama
Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction. CoRR (2015)
Feng Nan, Joseph Wang, Venkatesh Saligrama
Feature-Budgeted Random Forest. CoRR (2015)
Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama
Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction. NIPS (2015)
Feng Nan, Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama
Fast margin-based cost-sensitive classification. ICASSP (2014)
Joseph Wang, Tolga Bolukbasi, Kirill Trapeznikov, Venkatesh Saligrama
Model Selection by Linear Programming. ECCV (2) (2014)
Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama
An LP for Sequential Learning Under Budgets. AISTATS (2014)
Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama
Online local linear classification. CAMSAP (2013)
Joseph Wang, Venkatesh Saligrama
Locally-Linear Learning Machines (L3M). ACML (2013)
Joseph Wang, Venkatesh Saligrama
Local Supervised Learning through Space Partitioning. NIPS (2012)
Joseph Wang, Venkatesh Saligrama, David A. Castañón
Structural similarity and distance in learning. Allerton (2011)
Joseph Wang, Venkatesh Saligrama, David A. Castañón
Markov group testing. Allerton (2010)