Yuhuang Hu

Institute of Neuroinformatics
University of Zürich and ETH Zürich, Switzerland

1. Introduction

I am a Skeptic, (fake) Hiker, (fake) Biker, (not much) TV addict, ML protégé, AGI supporter, NOT-DOOMED believer, LaTeX tutor, INI Ph.D. student.

For more information, please click here for my current CV.

2. Method

2.1 Research Interests

  • Deep Neural Networks
  • Event-based Learning and Processing
  • Feature Learning
  • Computer Vision
  • Robotic Vision
  • Image Processing
  • Artificial General Intelligence
  • Theory of Everything

2.2 Active Projects

  1. Learning Deep Learning: A Deep Learning reading list.
  2. macman: Handy tools for Mac OS X terminal.
  3. PySealer: Yet another standalone Python application creator.
  4. DDD17+: 53-Hour End-To-End DAVIS Driving Dataset.

2.3 Completed Projects

  1. DVS Benchmark Datasets for Object Tracking, Action Recognition, and Object Recognition
  2. Max-Pooling Operations in Deep Spiking Neural Networks
  3. Learning to Navigate without a Map
  4. Understanding Iterative Estimation in Gated Neural Networks
  5. Character-level Chinese-English Translation through ASCII Encoding

2.4 TypeRacer

TypeRacer.com scorecard for user duguyue100

3. Experiments

Python C/C++ GPU HTML Git SVN Eclipse Emacs Vim zsh Atom Linux Mac OS X CMake QT DVS DAViS LaTeX macman Midnight Commander

4. Conclusions


Computer Science Mathematics Machine Learning Artificial Intelligence Pretty PDFs Git Reasoning Intellectual Debates Moral Consequence Robot History Future Bejing Opera Markdown Marvel Ice-cream Smart Girl Engineer Physics TV Shows Cats and Dogs pics Cash Scientific American Kid that isn't mine Being minority GSoC Accidentally find a nice song Tom Hanks in girl's voice Chinese Calligraphy New Emacs Tricks Surprising ending Reading Endless Article Machine Learning in Browser Write in Emacs Recurrent Neural Networks Vim Terminal

4.2 Dislikes

Low Network Speed Cannot Explain Myself Precisely Another Meeting Delay Know-it-all Fake Social Manners Around with People who I don't like All kinds of reunion Tourism Ambush my back Exams Intentional delay Birthday Sending gifts Things out of control New guy Meaningless date Boring lecture Select gifts Blind date Season Finale Have no idea about what's next Coders who don't follow standards Person who refuses to learn useful things


  1. Y. Hu, T. Delbruck, S-C. Liu, “Incremental Learning Meets Reduced Precision Networks” in 2019 IEEE International Symposium on Circuits and Systems (ISCAS), Sapporo, Japan, 2019.

  2. Y. Hu, H.M. Chen, T. Delbruck, “Slasher: Stadium racer for end-to-end event-based camera autonomous driving experiments” in 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), Hsinchu, Taiwan, 2019.

  3. N.I. Nikolov, Y. Hu, MX. Tan, R.H.R. Hahnloser, “Character-level Chinese-English Translation through ASCII Encoding” in The Third Conference on Machine Translation (WMT18), Brussels, Belgium, 2018.

  4. B. Rueckauer, I-A. Lungu, Y. Hu, M. Pfeiffer, S-C. Liu, “Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification”, Frontiers in Neuroscience, 11:682, 2017.

  5. B. Reckauer, I-A. Lungu, Y. Hu, M. Pfeiffer, “Theory and Conversion of Analog to Spiking Convolutional Neural Netowrks” in Computing with Spikes NIPS 2016 Workshop, Barcelona, Spain, 2016.

  6. Y. Hu, H. Liu, M. Pfeiffer, T. Delbruck, “DVS Benchmark Datasets for Object Tracking, Action Recognition and Object Recognition”, Frontiers in Neuroscience, 10:405, 2016.

  7. D.N.T. How, Y. Hu, K.S.M. Sahari, C.K. Loo, “ Multiple Sequence Behavior Recognition on Humanoid Robot using Long Short-term Memory (LSTM)” in 2014 IEEE International Symposium on Robotics and Manufacturing Automation (ROMA 2014), Kuala Lumpur, Malaysia, 2014.

  8. Y. Hu, D.N.T. How, K.S.M. Sahari, C.K. Loo, “Learning Sufficient 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.

  9. Y. Hu, C.K. Loo, “A Generalized Quantum-Inspired Decision Making Model for Intelligent Robot”, The Scientific World Journal, vol. 2014, Article ID 240983, 8 pages, 2014.

  10. Y. Hu, W.L. Hoo, C.S. 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.