Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Jun Han

Disentangled Recurrent Wasserstein Autoencoder


Jan 19, 2021
Jun Han, Martin Renqiang Min, Ligong Han, Li Erran Li, Xuan Zhang

* ICLR 2021 

  Access Paper or Ask Questions

LaNet: Real-time Lane Identification by Learning Road SurfaceCharacteristics from Accelerometer Data


Apr 06, 2020
Madhumitha Harishankar, Jun Han, Sai Vineeth Kalluru Srinivas, Faisal Alqarni, Shi Su, Shijia Pan, Hae Young Noh, Pei Zhang, Marco Gruteser, Patrick Tague


  Access Paper or Ask Questions

Scalable Approximate Inference and Some Applications


Mar 07, 2020
Jun Han

* PhD thesis, Dartmouth College (2019) 

  Access Paper or Ask Questions

Stein Variational Inference for Discrete Distributions


Mar 01, 2020
Jun Han, Fan Ding, Xianglong Liu, Lorenzo Torresani, Jian Peng, Qiang Liu

* AISTATS 2020 

  Access Paper or Ask Questions

BehavDT: A Behavioral Decision Tree Learning to Build User-Centric Context-Aware Predictive Model


Dec 17, 2019
Iqbal H. Sarker, Alan Colman, Jun Han, Asif Irshad Khan, Yoosef B. Abushark, Khaled Salah

* Journal: Mobile Networks and Applications, Springer, 2019 

  Access Paper or Ask Questions

CalBehav: A Machine Learning based Personalized Calendar Behavioral Model using Time-Series Smartphone Data


Sep 02, 2019
Iqbal H. Sarker, Alan Colman, Jun Han, A. S. M. Kayes, Paul Watters

* The Computer Journal, Section C: Computational Intelligence, Machine Learning and Data Analytics, Publisher: Oxford University Press, UK, 2019 
* 16 pages, double column 

  Access Paper or Ask Questions

LINS: A Lidar-Inerital State Estimator for Robust and Fast Navigation


Jul 04, 2019
Chao Qin, Haoyang Ye, Christian E. Pranata, Jun Han, Ming Liu

* 8 pages, 10 figures 

  Access Paper or Ask Questions

Individualized Time-Series Segmentation for Mining Mobile Phone User Behavior


Nov 15, 2018
Iqbal H. Sarker, Alan Colman, MA Kabir, Jun Han

* The Computer Journal, Section C: Computational Intelligence, Machine Learning and Data Analytics, Publisher: Oxford University, UK, 2017 
* 20 pages 

  Access Paper or Ask Questions

Stein Variational Gradient Descent Without Gradient


Jun 07, 2018
Jun Han, Qiang Liu

* ICML 2018 

  Access Paper or Ask Questions

An Improved Naive Bayes Classifier-based Noise Detection Technique for Classifying User Phone Call Behavior


Dec 01, 2017
Iqbal H. Sarker, Muhammad Ashad Kabir, Alan Colman, Jun Han

* The 15th Australasian Data Mining Conference (AusDM 2017), Melbourne, Australia 

  Access Paper or Ask Questions

Stein Variational Adaptive Importance Sampling


Jul 25, 2017
Jun Han, Qiang Liu


  Access Paper or Ask Questions

Bootstrap Model Aggregation for Distributed Statistical Learning


Feb 27, 2017
Jun Han, Qiang Liu

* This paper is about variance reduction on Monte Carol estimation of KL divergence, NIPS, 2016 

  Access Paper or Ask Questions