Career Profile

I am currently a postdoctoral fellow at the Robotics Institute, Carnegie Mellon University (CMU). I received the Ph.D. degree from Nanyang Technological University (NTU) Singapore in 2019 and Bachelor degree from Beijing Institute of Technology (BIT) in 2014. I was a senior researcher in Tencent. My research interests include robot perception, vision, and machine learning.

Selected Publications [arXiv]

Kervolutional Neural Networks

Jun. 2019
Chen Wang, Jianfei Yang, Lihua Xie, and Junsong Yuan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019)

Correlation Flow: Robust Optical Flow using Kernel Cross-Correlators

May. 2018
Chen Wang*, Tete Ji*, Thien-Minh Nguyen, and Lihua Xie
International Conference on Robotics and Automation (ICRA 2018)

Non-iterative RGB-D-inertial Odometry

Apr. 2018
Chen Wang, Minh-Chung Hoang, Lihua Xie, and Junsong Yuan
arXiv preprint arXiv:1710.05502

Kernel Cross-Correlator

Feb. 2018
Chen Wang, Le Zhang, Lihua Xie, and Junsong Yuan
The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18)

Ultra-Wideband Aided Fast Localization and Mapping System

Sep. 2017
Chen Wang, Handuo Zhang, Thien-Minh Nguyen, and Lihua Xie
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017)

Non-Iterative SLAM

Jul. 2017
Chen Wang, Junsong Yuan, and Lihua Xie
The 18th International Conference on Advanced Robotics (ICAR 2017)
This paper received the Best Paper Award in robotic planning on ICAR 2017

* joint first authors

Open Source Projects [GitHub]

Git Helper - This project is extremely helpful when you use Git, especially in Ubuntu. After simple installation, the tedious leading path in bash environment will be clear. It also reminds your location, modification, and current branch. It has improved my working efficiency dramatically, thus I recommend this project to all Linux users!
Thesis LaTex Template - This thesis Latex temaplate is designed according to the new submission guidelines of Nanyang Technological University (NTU). It should be useful for both Master and Ph.D students. This version has been verified by the NTU library.
Range-based Localization - To enable fast and accurate localization for micro-robots in GPS-denied environment, we design and implement the range-based localization algorithm using the Graph Optimization Approach. This framework is compitable with ROS and flexible for multi-sensor fusion. This code has been tested for the ultra-wideband(UWB) technology.
Formation/Rendezvous for multi-agent - This ROS package provides a controller for formation and rendezvous using multi-drone. It is designed based on the fastest hunting and surrounding direction relative to a moving target. You may visualize the convergence using RVIZ and Gazebo. You may also test other controllers by modifying a few lines of codes.

Patent

Simultaneous Localization and Mapping Methods and Apparatus

2019
Chen Wang*, Lihua Xie*, and Junsong Yuan
Publication number:  20190226852
Publication Date:  Jul 25, 2019

Filing Date:  Sep 7, 2017

* joint first authors