Resume - Chiyuan Zhang

Chiyuan Zhang
Bldg. 46-5155, 43 Vassar Street
Cambridge, MA, 02139
[email protected]
http://pluskid.org
Education
2012-
2014-2014
2009-2012
2005-2009
PhD Student in EECS Department, MIT
Computer Science and Artificial Intelligence Laboratory (CSAIL)
Center for Brain, Minds & Machines (CBMM)
Advisor: Tomaso Poggio
Summer Exchange Program in Japan
Graduate School of Informatics, Kyoto University
Advisor: Marco Cuturi
Computer Science Department, Tokyo Institute of Technology Advisor: Masashi Sugiyama
MEng in Computer Science at Zhejiang University
Research focus: Machine Learning & Computer Vision
Advisor: Xiaofei He & Deng Cai
BEng in Chu Kochen Honors College & College of Computer Science at Zhejiang University
Publications
» Chiyuan Zhang, Stephen Voinea, Georgios Evangelopoulos, Lorenzo Rosasco, Tomaso Poggio: Phone Classification by a Hierarchy of Invariant Representation Layers. INTERSPEECH 2014.
» Stephen Voinea, Chiyuan Zhang, Georgios Evangelopoulos, Lorenzo Rosasco, Tomaso Poggio: Word-level
Invariant Representations from Acoustic Waveforms. INTERSPEECH (Best Student Paper Award) 2014.
» Georgios Evangelopoulos, Stephen Voinea, Chiyuan Zhang, Lorenzo Rosasco, Tomaso Poggio: Unsupervised
Learning of Invariant Representations for Speech. CBMM Memo No. 22, 2014.
» Chiyuan Zhang, Georgios Evangelopoulos, Stephen Voinea, Lorenzo Rosasco, Tomaso Poggio: A Deep Representation for Invariance and Music Classification. IEEE International Conference on Acoustics, Speech and
Signal Processing (ICASSP), 2014.
» Chiyuan Zhang, Charlie Frogner, Mauricio Araya-Polo, Detlef Hohl: Machine-learning Based Automated Fault
Detection in Seismic Traces. Proceedings of 76th European Association of Geoscientists and Engineers Conference & Exhibition (EAGE), 2014.
» Binbin Lin, Xiaofei He, Chiyuan Zhang, Ming Ji: Parallel Vector Field Embedding. Journal of Machine Learning
Research (JMLR), 2013.
» Chiyuan Zhang, Xiaofei He: Image Compression by Learning to Minimize the Total Error. IEEE Transactions
on Circuits and Systems for Video Technology (TCSVT), 2013.
» Binbin Lin, Sen Yang, Chiyuan Zhang, Jieping Ye, Xiaofei He: Multi-task Vector Field Learning. Advances in
Neural Information Processing Systems 25 (NIPS), 2012.
» Binbin Lin, Chiyuan Zhang, Xiaofei He: Semi-supervised Regression via Parallel Field Regularization. Advances in Neural Information Processing Systems 24 (NIPS), 2011.
» Xiaofei He, Ming Ji, Chiyuan Zhang: A Variance Minimization Criterion to Feature Selection using Laplacian
Regularization. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2011.
» Binbin Lin, Chiyuan Zhang, Xiaofei He: Orthogonal Projection Analysis. Intelligence Science and Intelligent
Data Engineering (IScIDE), 2011.
» Deng Cai, Chiyuan Zhang, Xiaofei He: Unsupervised feature selection for multi-cluster data. Proceedings of
the SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2010.
Skills
Programming
Language
C, C++, Python, Julia, Ruby, Matlab (and various) languages with practical experiences.
Chinese Mandarin (native), English (fluent), Japanese (intermediate proficiency, JLPT N2).
Services
NIPS
JMLR
IJCAI
TKDE
NEUCOM
Reviewer (14) of Advances in Neural Information Processing Systems.
Webmaster (13-Present) of Journal of Machine Learning Research.
Program Committee (PC) member (13) of International Joint Conference on Artificial Intelligence.
Reviewer (12) of IEEE Transactions on Knowledge and Data Engineering.
Reviewer (10, 11, 12, 13, 14) of Neurocomputing.
MSTC
President (09-10) and Leader of Technology Group (08-09) of Microsoft Technology Club, ZJU.
Projects & Experiences
2014
2014
2013
2013
2012
2011
2011
2009
2008
2008
2008
2007
2007
Mocha.jl: efficient and extensible multi-backends (GPU & CPU) deep learning framework for Julia.
Summer Visiting at Kyoto University and Tokyo Institute of Technology: Optimal Transport (Advisor:
Marco Cuturi) & Density Ratio Estimation (Advisor: Masashi Sugiyama) and applications to Domain
Adaptation Learning problems.
Biologically inspired invariant feature extraction for speech & audio; understanding deep Convolutional
Neural Networks via computational neuroscience.
Internship at Shell: automatic geological feature detection from pre-stack seismic traces with Machine
Learning models (Host: Mauricio Araya Polo).
SHOGUN C++ Machine Learning Library: I surveyed and implemented various well-known multiclass
learning algorithms for SHOGUN (Mentor: Cheng Soon Ong, Söeren Sonnenburg).
Large-scale Content-based Image Search System: I'm a main developer for image cutting, visual features
(color and SURF), and distributed computing infrastructure & architecture.
The First National Data Mining Contest (2nd place): Bayesian inference based recommendation algorithm
for China's largest online dating website.
Semi-automatic Futures Trading System: internship at TaodiNet. I was a developer for the server-side.
Opinion Mining from Online Feeds: startup project. I developed the sentiment analysis algorithms.
Google Summer of Code: I designed and implemented a bytecode compiler and virtual machine for the
Scheme programming language (Mentor: Tim Ansell).
YASnippet: popular open source snippet automation plugin for GNU Emacs. (In official repository now)
MMSEG-cpp Chinese word segmentation library: open source project. I wrote a high-performance Chinese
word segmentation library in C++. It is used by big Chinese websites like JavaEye.
Personal E-Library: startup project. Online feed aggregation, sharing, and recommendation.

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