Xiaowei Zhou Homepage

Basic Information

Name：	Xiaowei Zhou
E-Mail：	Xiaowei.Zhou AT student.uts.edu.cn
github：	https://github.com/zxwedu
CSDN：	https://blog.csdn.net/zhouxiaowei1120

Biography

I am a Ph.D. Student at Centre for Artificial Intelligence (CAI), University of Technology Sydney (UTS) and Data61, CSIRO. My research interests are mainly in the area of deep learning and machine learning. Currently, my supervisors are Prof. Ivor Tsang and Dr. Jessie Yin. I also work with Dr. Chen Wang.
Before this, I worked in XBENTURY, Beijing with Dr. Gao Huang (the author of DenseNet). I received the Master of Engineering and Bachelor of Engineering in Computer Science from Ocean University of China in 2017 and 2014, respectively. The head of Department of Computer Science and Technology, Prof. Junyu Dong, was my supervisor.

Project

Surface height map estimation from a single image based on deep learning

National Natural Science Foundation of China (NSFC) — Research on natural texture generation model and its visual perception mechanism
September 2015 — July 2016

We proposed a novel method based on convolutional neural networks (CNNs) for estimating the height map from a single image, without using any other equipment or extra prior knowledge of the image contents.

Project on Github: HeightEstimation

The Related Paper: Surface height map estimation from a single image using convolutional neural networks

Research of Personnel Evacuation in Tsunami

Young Teacher Foundation of Ocean University of China — undergraduate graduation design
2 monthes, March 2014 — May 2014

The project is based on the tsunami simulation data generated by the Numerical model of COMCOT and high resolution remote sensing maps obtained by remote sensing satellites; We extracted road network from the map by MapInfo tools, solved the shortest path for crowd evacuation by Dijkstra algorithm, and finally established a tsunami personnel evacuation plan.

Project on Github: GraduDesign

The Related Paper: Visual Simulation for Tsunami and Disaster Risk Assessment

Intelligent Monitor System Based on Vehicle

Student Research Developing Program of Ocean University of China
1 year, June 2012 — June 2013

The system is used for monitoring illegal behavior of the vehicle and detecting the congestion degree of roads.

Demo:

Intelligent Monitor System Based on Vehicle

Automatic object recognition system

National College Student Intelligent Design Competition
1 month, May 2015 — June 2015

We extracted features using Decaf. Then we trained online learning SVM using the features and recognized the image, corrected the recognized results artificially using DTW language model.

Demo:

Automatic object recognition system

Selected Awards

Outstanding Graduate of Shandong Province 2017

3rd Prize of “Huawei Cup” Intelligent Design Competition for Chinese University students 2015

Outstanding Graduate of Shandong Province 2014

Excellent Student of Shandong Province 2014

National Endeavor Fellowship (Three times) 2011-2013

3rd Prize of 13th “Challenge Cup” College Student Curricular Academic Science and Technology Works Competition of Ocean University of China 2013

3rd Prize of 3rd “Lucent Cup” Technology and Practice Competition 2013

1st Prize in Shandong Province of China Undergraduate Mathematical Contest in Modeling 2012

3rd Prize of “Huawei Cup” Programming Competition of Ocean University of China 2012

3rd Prize in Shandong Province of “Lanqiao Cup” National Software Professionals Design and Entrepreneurship Competition 2012

activities

Reviewer: ICPR 2018, IEEE TNNLS, ICDM2019, AAAI2020, IEEE TETCI, ACML2020, AAAI2021

Volunteer: Intelligent Data Analysis Seminar (IDAS 2014), Vision and Learning Seminar (VALSE2014), Chinese Association for Artificial Intelligence Expert Rostrum of Pattern Recognition. Technical Committee on Computer Vision, China Computer Federation going into University. Mid-term examination review of International S&T Cooperation Program of China in Qingdao.

Organizer: Machine learning reading group, Machine learning seminar, Intelligent Data Analysis Seminar (IDAS 2015).

Practical activity: Teaching assistant in Experiments of Introduction to Computer Science and Technology. Severs administrator of vision lab of OUC. Part-time counsellor of OUC. Monitor of class for 5 years.