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 dgyblog.com
Education
2017-present Ph.D. Student
, Institute of Neuroinformatics, University of Zürich and ETH Zürich, Zürich,
Switzerland.
2016–2017 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.
Skills
Academic
Skills
{ Algorithm design and implementation, Data analysis.
{ Professional in Machine Learning, Computer Vision, Image and Video Processing.
{ Familiar with Robotics, Digital Signal Processing, Information Theory.
{ Professional in L
A
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X and familiar with most popular typesetting tools.
Programming
Skills
{ Professional in Python programming and development.
{ Familiar with C/C++, Java, Matlab programming.
{ Familiar with GPU computing for Machine Learning.
{ Familiar with web development (HTML, JavaScript).
Programming
Tools
{ Version Control System: Git, SVN.
{ Operating System: Linux (Debain family), macOS.
{ Cross-platform Compilation: CMake, QT.
{ Robotics Platform: ROS, DARwIn-OP.
{ Neuromorphic Devices: Dynamic Vision Sensors (DVS).
General
Skills
{ Quick learning and problem-solving under time constraints.
{ Critical thinking and eective communication.
Research Interests
My current research interests include Deep Neural Networks, Feature Learning,
Event-based Learning and Processing, Reinforcement Learning, Computer Vision,
Image and Video Processing. I am also strongly interested in Artificial General
Intelligence, Decision Theory, Information Theory, Computational Neuroscience and
Theory of Everything.
Experience
Mar. 2018-
May. 2018
Teaching Assistant, D-ITET, Zürich, Zürich, Switzerland.
Teaching assistant of Projects & Seminars module for 3rd year bachelor students. Focus on
practical Deep Learning and Computer Vision using Raspberry Pi.
Jul. 2017-
present
Overleaf Advisor, Overleaf.
Volunteer Overleaf Advisor for helping people learn L
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X.
Oct. 2016-
Sep. 2017
Technical Assistant, iniLabs GmbH, Zürich, Switzerland.
Part-time technical assistant on: Neuromorphic devices, maintenance, etc.
May. 2015-
Aug. 2015
Mentor, OpenCog Organization.
Mentored project in Google Summer of Code 2015.
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.
Roboethics, Cognitive Architectures, A Generalized Quantum-Inspired Decision Making
Model, Deep Learning, Robotics, Symbolic-Subsymbolic Gap.
Sep. 2012-
Dec. 2014
Demonstrator, Faculty of Comp Sci & Info Tech, University of Malaya.
Sep.Dec. 2012: TA for Programming I (WXES1116, 2012/2013 Semester I)
Feb.Jun. 2013: TA for Data Structure (WXES1117, 2012/2013 Semester II)
Feb.Jun. 2014: TA for Data Structure (WXES1117, 2013/2014 Semester II)
Sep.Dec. 2014: TA for Programming I (WXES1116, 2014/2015 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-
Sep. 2017
Trainer & Editor.
Provide L
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T
E
X training course and document typesetting services.
Project Experience
2011 Clustering Algorithms for Scene Classification
2013 Quantum-Inspired Decision Making Model for Intelligent Robot
2013 Cortical-Inspired Deep Machine Learning Architecture (Available at GitHub).
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)
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
2016 Max-Pooling Operations in Deep Spiking Neural Networks
2017 Understanding Iterative Estimation in Gated Neural Networks (Master Thesis)
2017 DDD17+: 53-Hour End-To-End DAVIS Driving Dataset (on-going)
2018
Slasher: End-to-End Aggressive Autonomous Driving using Dynamic Vision Sensor
(on-going)
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 Malaysia al-Khaw
¯
arizm
¯
ı National Programming Contest
2013.
Nov. 2013
Attend
e@Robotclub
Games 2013 at Dewan Tuah, Aras LG, Kompleks 3C, Subang
Jaya as Judge.
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.
Sep. 2014
Completed Google Summer of Code 2014 (Sponsored by Google and OpenCog Organi-
zation).
Languages
Chinese Native.
English Fluent.
Websites
Homepage http://dgyblog.com/
GitHub https://github.com/duguyue100
LinkedIn https://www.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 for Spatio-
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 Neuroscience, 10:405, 2016.
[6]
B. Rueckauer, I-A. Lungu, Y. Hu, M. Pfeier, S-C. Liu, “Conversion of Continuous-
Valued Deep Networks to Ecient Event-Driven Networks for Image Classification”,
Frontiers in Neuroscience, 11:682, 2017.