Yuhuang Hu
Institute of Neuroinformatics,
University of Zürich and ETH Zürich,
Zürich, Switzerland
H +41 76 519 95 11
B yuhuang.hu@ini.uzh.ch
Í www.dgyblog.com
Education
2016-present MScNSC
, Institute of Neuroinformatics, University of Zürich and ETH Zürich, Zürich,
Switzerland.
2011-2015 BCompSc
, Department of Artificial Intelligence, Faculty of Comp Sci & Info Tech, University
of Malaya, Kuala Lumpur, Malaysia, CGPA:3.68/4.00.
Skills
Academic
Skills
{ Algorithm design and implementation, Data analysis.
{
Practical experience in Machine Learning, Computer Vision and Image Processing.
{
Familiar with Robotics, Game Theory, Digital Signal Processing, Information Theory.
{ Academic Paper Writing.
{ Professional in L
A
T
E
X and familiar with most popular typesetting tools.
Programming
Skills
{ Professional in Python, C/C++ and Java Programming and Development.
{ Familiar with Matlab, Scheme, Pascal programming.
{ Familiar with GPU computing for Machine Learning.
{ Familiar with web development (HTML, JavaScript).
Programming
Tools
{ Source Code Version Control: Git, SVN.
{ IDE: Microsoft Visual Studio, Eclipse, Matlab, Free Pascal.
{ Editor: Emacs, Atom.
{ Operating System: Windows, Linux (Debain family), Mac OS X.
{ Cross-platform Compilation: CMake, QT.
{ Robotics Platform: RoboPlus (for Education only), ROS, DARwIn-OP, NAO.
{ Neuromorphic Device: Dynamic Vision Sensor (DVS), Dynamic and Active-pixel
Vision Sensor (DAViS).
General
Skills
{ Quick learning and problem-solving under time constraints.
{ Critical thinking and eective communication.
Research Interests
My current research interests include Deep Learning (Deep Neural Networks especially),
Event-based Learning, Feature Learning, Computer Vision and Image Processing. I am
also strongly interested in Artificial General Intelligence, Decision Theory, Information
Theory, Computational Neuroscience and Theory of Everything.
Experience
May.-
Aug. 2015
Mentor, OpenCog Organization.
Mentoring project in Google Summer of Code 2015.
Sep.-Dec. 2014
Demonstrator, Faculty of Comp Sci & Info Tech, University of Malaya.
Teaching: Demonstrator for Programming I (WXES1116, 2014/2015 Semester I)
Feb.-Jun. 2014 Demonstrator, Faculty of Comp Sci & Info Tech, University of Malaya.
Teaching: Demonstrator for Data Structure (WXES1117, 2013/2014 Semester II)
Nov. 2013 Trainer
, Transformative Robotic Education Towards Realization of National Education
Philosophy (TRANS-ROE).
Teaching: Robotics Education Training Workshop
Oct. 2012-
Jul. 2015
Research Assistant
, Advanced Robotic Lab, Department of Artificial Intelligence,
Faculty of Comp Sci & Info Tech, University of Malaya.
Machine Intelligence Measurement, Roboethics, Cognitive Architecture, A Generalized
Quantum-Inspired Decision Making Model, Deep Learning, GPU Computing, Robotics,
Symbolic—Subsymbolic Gap
Feb.-Jun. 2013 Demonstrator, Faculty of Comp Sci & Info Tech, University of Malaya.
Teaching: Demonstrator for Data Structure (WXES1117, 2012/2013 Semester II)
Sep.-Dec. 2012
Demonstrator, Faculty of Comp Sci & Info Tech, University of Malaya.
Teaching: Demonstrator & Special Class Lecturer for Programming I (
WXES1116
, 2012/2013
Semester I)
Sep. 2011-
Oct. 2012
Member, Faculty of Comp Sci & Info Tech, University of Malaya.
Study and work at Multimedia and Image Processing Lab and Advanced Robotic Lab.
Jan. 2011-
present
Trainer & Editor.
Provide L
A
T
E
X training course and document typesetting services.
Project Experience
2011 Clustering Algorithms for Scene Classification (Published).
2012 Humanoid Robot Ethical System.
2012 Introduction to Java Programming (Teaching materials, Available at GitHub).
2013 Quantum-Inspired Decision Making Model for Intelligent Robot (Published).
2013
DARwIn-OP (Dynamic Anthropomorphic Robot with Intelligence Open Platform)
Humanoid Robot Development.
2013 Cortical-Inspired Deep Machine Learning Architecture (Available at GitHub).
2013 TurtleBot & ROS Development (Available at GitHub.com).
2014
Improved Spatio-temporal Deep Network for Pattern Recognition (Bachelor Thesis).
2014
Using DeSTIN and SVM or Neural Nets to Eectively Classify Images (Google
Summer of Code 2014, Available at GitHub).
2014
TeslaEye — A Deep Eye-mimicry Video Processor. (Tesla K40 GPU granted proposal
by NVIDIA)
2016
Generation of Benchmarks for Visual Recognition with Spiking Neural Networks
(Published).
2016 Max-Pooling Operations in Deep Spiking Neural Networks.
Awards & Activities
Nov. 2008 Third Prize of National Olympiad in Informatics in Provinces.
Nov. 2009 Second Prize of National Olympiad in Informatics in Provinces.
Nov. 2012
Fifth Place of ACM-ICPC Malaysia al-Khaw
¯
arizm
¯
ı National Programming Contest
2012.
Nov. 2012
Visit Fujian Key Lab of Brain—Like Intelligent Systems (the BLISS Lab) in Xiamen
University, China as Researcher.
Feb. 2013
Dean’s List for Semester I Session 2012/2013 (Faculty of Computer Science & IT,
University of Malaya.
Aug. 2013
Silver medal of HuroCup Marathon category in 18th FIRA RoboWorld Cup & Congress
2013, Kuala Lumpur, Malaysia.
Sep. 2013 Eighth Place of ACM-ICPC al-Khaw
¯
arizm
¯
ı National Programming Contest 2013.
Nov. 2013
Attend
e@Robotclub
Games 2013 as Judge at Dewan Tuah, Aras LG, Kompleks 3C,
Subang Jaya.
Nov. 2013 Visit OpenCog Lab in The Hong Kong Polytechnic University, Hong Kong, China as
Researcher.
Dec. 2013 My Robot, Cover story of Life & Times, New Straits Times (December 16)
Sep. 2014
Fifth Place of ACM-ICPC Malaysia al-Khaw
¯
arizm
¯
ı National Programming Contest
2014.
Certification & Statement of Accomplishment
Dec. 2012
Pass Machine Learning Course (Provided by Stanford University through Coursera)
with 100.0%/100.0%.
Mar. 2013 Certificate of Completion for CCNA Exploration: Routing Protocols and Concepts.
Mar. 2013
Pass Artificial Intelligence Planning Course (Provided by The University of Edinburgh
through Coursera) with Foundation Level.
Mar. 2013
Pass Image and video processing: From Mars to Hollywood with a stop at the hospital Course
(Provided by Duke University through Crousera) with Distinction.
Mar. 2013
Pass Game Theory Course (Provided by Stanford University and The University of
British Columbia through Crousera)
May. 2013
Pass Digital Signal Processing Course (Provided by École Polytechnique Fédérale de
Lausanne through Crousera)
Jun. 2013
Pass Statistics: Making Sense of Data Course (Provided by University of Toronto through
Crousera)
Oct. 2013
Pass From the Big Bang to Dark Energy Course with Distinction (Provided by The
University of Tokyo through Coursera)
Nov. 2013
Pass Linear and Integer Programming Course (Provided by University of Colorado
Boulder through Coursera)
Dec. 2013
Pass Quantum Mechanics for Scientists and Engineers Course (Provided by Stanford
University through Stanford Online)
Sep. 2014
Completed Google Summer of Code 2014 (Sponsored by Google and OpenCog Organi-
zation)
Languages
Chinese Native.
English Fluent.
Websites
Blog http://www.dgyblog.com/
GitHub http://www.github.com/duguyue100/
LinkedIn http://my.linkedin.com/in/duguyue100/
Publications
[1]
Y. Hu, WL. Hoo, CS. Chan, “Clustering Algorithms for Scene Classification A
Performance Comparison between K-means; Fuzzy c-means and GMM” in IIEEJ 3rd
Image Electronics and Visual Computing Workshop, Kuching, Malaysia, 2012, IIEEJ.
[2]
Y. Hu, CK. Loo, “A Generalized Quantum-Inspired Decision Making Model for
Intelligent Robot”, Scientific World Journal, Recent Advanced in Information Technology
(RAIT), 2014.
[3]
Y. Hu, DNT. How, KSM. Sahari, CK.Loo, “Learning Sucient Representation forSpatio-
temporal Deep Network Using Information Filter” in 2014 IEEE/SICE International
Symposium on System Integration, Korakuen Campus, Chuo University, Tokyo, Japan,
2014.
[4]
DNT. How, Y. Hu, KSM. Sahari, CK. Loo, “Multiple Sequence Behavior Recognition on
Humanoid Robot using Long Short-term Memory (LSTM)” in 2014 IEEE International
Symposium on Robotics and Manufacturing Automation (ROMA2014), Kuala Lumpur,
Malaysia, 2014.
[5]
Y. Hu, H. Liu, M. Pfeier, T. Delbruck, “DVS Benchmark Datasets for Object Tracking,
Action Recognition and Object Recognition”, Frontiers in Neuromorphic Engineering,
10:405, 2016.