C ontact
Information
I nterests
E ducation
March 2016
ETH Zurich, CAB F 65.2
Phone (O): +41 44 632 97 80
E-mail: yuxin.chen@inf.ethz.ch
Homepage: http://people.inf.ethz.ch/chenyux
Machine Learning, Interactive Learning, Submodular Optimization, Sequential Decision Making
ETH Zurich , Z¨
Ph.D. Candidate, Computer Science, Sep’11 to present
- Advisor: Dr. Andreas Krause
- Research Focus: Interactive Machine Learning
- Supported by the Google European Doctoral Fellowship
The University of Kansas , Lawrence, KS USA
M.Sc. ( with honors ), Computer Science, Aug’09 - July’11
- Advisor: Dr. Bo Luo
- Master’s Thesis: Understanding User Intentions in Vertical Image Search
- Area of Study: Information Retrieval, Information Security and Privacy
University of Science and Technology of China , Hefei, Anhui China
B.E., Electrical Engineering, Sep’05 - July’09
- Advisor: Dr. Nenghai Yu
- Graduated from the Special Class for Gifted Young (at age 18)
- Thesis Topic: Combining Image and Textural Features for Product Search
(Outstanding Bachelor Thesis Award)
R esearch
Experiences
Research Assistant
Learning & Adaptive Systems Group
September 2011 to present
Understanding active learning in real-world scenarios, i.e., active learning with complex interactions and/or complex constraints.
Participating in the project “Mathematical Modeling, Analysis and Active Inference of Representations for Sensing-Action Systems” in the DARPA MSEE (Mathematics of Sensing, Exploration and Exploitation) program, which is in collaboration with teams from MIT, UCLA and UC Berkeley.
Developing algorithms to adaptively maximize the information flow in social networks.
Xerox Research Center Europe, Grenoble, France
Visiting Scholar
Machine Learning for Services Group
June 2015 to September 2015
Worked on real-world applications involving sequential decision making in dialog management.
Microsoft Research Cambridge, Cambridge, UK
Research Intern
Programming Principle and Tools Group
July 2014 to October 2014
Developed machine learning-based approach (in F#) for software verification.
The University of Kansas, Lawrence, KS USA
Graduate Research Assiatant
Information and Telecommunication Technology Center (ITTC)
September 2009 to July 2011
Participated in developing the Invertebrate Paleontology Knowledgebase (IPKbase) .
Presented a new approach for better image search in a vertical search engine .
Developed and validated a series of protocols for privacy preserving group linkage .
Proposed an automatic cephalometric analysis system to facilitate orthognathic surgery .
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A wards
Institute of Automation of the Chinese Academy of Sciences , Beijing China
Internship
National Laboratory of Pattern Recognition (NLPR)
July 2008 to August 2008
Participated in research of Image forensics and image splicing detection .
University of Science and Technology of China, Hefei, Anhui, China
Undergraduate Researcher
Information Processing Center (IPC)
September 2007 to July 2009
Participated in research of multimedia information retrieval .
Developed a Chinese Chess software (single player game coded in c++ with 8 different search algorithms) .
Google Europe Fellowship in Interactive Machine Learning
Graduate Research Assistantship, The University of Kansas
TIW Student Scholarship, Trusted Infrastructure
Graduate Student Scholarship, The University of Kansas
Outstanding Bachelor Thesis Award, USTC
Excellent Student-Cadre of Henan Province
2014
2010
June 2010
2009
2009
2004
R esearch Visit
& Training
Xerox Research Center Europe, Grenoble, France
Machine Learning and Service Group
Massachusetts Institute of Technology, Boston MA, USA.
- Research Visit to the Sensing, Learning, and Inference (SLI) Group
June 2013 - September 2013
Feburary 2014
P rofessional
Activities
Machine Learning Summer School
Carnegie Mellon University, Pittsburgh PA, USA.
Advanced Summer School on Architectures for Trustworthy Computing
September 2013
June 2010
Teaching Assistant
Prof Joachim Buhmann & Dr. S. Hamed Hassani, Information Theroy
Dr. S. Hamed Hassani, Information Theroy and Coding
Prof. Andreas Krause, Probabilistic Foundations of A.I.
ETHZ, Spring 2016
ETHZ, Spring 2015
ETHZ, Fall 2011–2015
Prof. Andreas Krause, Data Mining: Learning from Large Data Sets ETHZ, Spring 2012–2015
Student Projects Co-supervisor
- Siddhartha (ETHZ M.Sc thesis / semester project)
Efficient Active Object Class Discovery in ImageNet
- Johannes Kirschner (ETHZ M.Sc thesis)
Sequential Indirect Information Maximization
- Johannes Kirschner (ETHZ semester project)
Active Sets and Adaptive Submodularity
- Victor Carbune (ETHZ M.Sc thesis)
Active Learning for Source Localization
- Hiroaki Shioi (ETHZ M.Sc thesis)
Active Object Detection on Micro-UAV Data for Biodiversity Monitoring
09/2015-05/2016
Fall 2015
Spring 2015
04/2013-10/2013
09/2012-02/2013
04/2012-10/2012
Efficient Active Object Detection with Deformable Parts Model
- Nan Zhong (ETHZ M.Sc thesis)
Towards A Unfied Approach to Diffusion Network Inference
Spring 2012
P rofessional
Service
Journal Reviewing
Journal of Machine Learning Research (JMLR), 2016
Journal of Artificial Intelligence Research (JAIR), 2016
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Machine Learning (MLJ), 2016
Artificial Intelligence (AIJ), 2016
IEEE Transactions on Multimedia (TMM), 2015
Statistics and Computing (STCO), 2015
Algorithmica, 2015
Program Committee Membership
International Conference on Machine Learning (ICML) 2015, 2016
Neural Information Processing Systems (NIPS) 2014, 2015
External Conference Reviewing
International Joint Conference on Artificial Intelligence (IJCAI) 2016
Latin American Theoretical Informatics (LATIN) 2014
Medical Image Computing and Computer Assisted Intervention (MICCAI) 2014
Knowledge Discovery and Data Mining (KDD) 2014
Neural Information Processing Systems (NIPS) 2013
T echnical
Skills
J ournal
Articles
C onference
Publications
Programming language: C++/C#/F#, MATLAB, SQL, etc.
Productivity Tools: Emacs, L A
[1] Yuxin Chen , Hariprasad Sampathkumar, Bo Luo, and Xue-wen Chen. iLike: Bridging the semantic gap in vertical image search by integrating text and visual features. In IEEE Transactions on Knowledge and Data Engineering (TKDE) , Vol. 25 (10) pp. 2257-2270, October 2013.
[2] Yuxin Chen , Hamed Hassani, Amin Karbasi, Andreas Krause. Sequential Information Maximization: When is Greedy Near-optimal?, To appear in the 28th Annual Conference on Learning
Theory (COLT) (acceptance rate 39.77%), Paris, France, July 2015.
[3] Yuxin Chen , Shervin Javdani, Amin Karbasi, Drew Bagnell, Siddhartha Srinivasa, Andreas
Krause. Submodular Surrogates for Value of Information, To appear in the 29th AAAI Conference on Artificial Intelligence (AAAI) (acceptance rate 26.67%), Austin, TX, January 2015.
[4] Shervin Javdani, Yuxin Chen , Amin Karbasi, Andreas Krause, Drew Bagnell, Siddhartha Srinivasa. Near Optimal Bayesian Active Learning for Decision Making. In the 17th International Conference on Artificial Intelligence and Statistics (AISTATS) (acceptance rate 35.8%), Reykjavik, Iceland,
April 2014.
[5] Yuxin Chen , Hiroaki Shioi, Cesar Antonio Fuentes Montesinos, Lian Pin Koh, Serge Wich,
Andreas Krause. Active Detection via Adaptive Submodularity. In the 31th International Conference on Machine Learning (ICML) (acceptance rate 25%), Beijing, China, June 2014.
[6] Yuxin Chen , Andreas Krause. Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization. In Proceedings of the 30th International Conference on Machine Learning
(ICML) (acceptance rate 24%), Atlanta, GA, June 2013.
[7] Yuanliang Meng, Junyan Li, Patrick Denton, Yuxin Chen , Bo Luo, Paul Selden, Xue-wen Chen.
IPKB: A Digital Library for Invertebrate Paleontology. In ACM/IEEE - CS Joint Conference on
Digital Libraries (JCDL) (acceptance rate 28%), Washington DC, June 2012
[8] Yuxin Chen , Bo Luo. S2A: Secure Smart Household Appliances. Full paper (acceptance rate:
18.58%) at the 2nd ACM Conference on Data and Application Security and Privacy (CODASPY) ,
San Antonio, TX, February 2012
[9] Yuxin Chen , Brian Potetz, Bo Luo and Xue-wen Chen.
Cephalometric Landmark Tracing
Using Deformable Templates. In Proceedings of the 1st IEEE Conference on Healthcare Informatics,
Imaging, and Systems Biology (HISB) , San Jose, CA, July 2011.
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W orkshops
E xtra-
Activities
R eferences
[10] Fengjun Li, Yuxin Chen , Bo Luo, Dongwon Lee and Peng Liu. Privacy-Preserving Group Linkage. Full paper in Proceedings of the 23rd Scientic and Statistical Database Management Conference
(SSDBM) , Portland, OR, July 2011.
[11] Yuxin Chen , Nenghai Yu, Bo Luo, and Xue-wen Chen. iLike: Integrating Visual and Textual
Features for Vertical Search. Full paper (acceptance rate: 17.48%) at ACM Multimedia Conference
(ACMMM) , Firenze, Italy, October 2010.
[1] Marc Brockschmidt, Yuxin Chen , Byron Cook, Pushmeet Kohli, Daniel Tarlow. Learning to
Decipher the Heap for Program Verification.
In the ICML Workshop on Constructive Machine
Learning (CML) , Lille, France, July 2015 ( Winner of the Best Paper Award ).
[2] Yuxin Chen , Hiroaki Shioi, Cesar Antonio Fuentes Montesinos, Lian Pin Koh, Serge Wich,
Andreas Krause. Active Detection for Biodiversity Monitoring via Adaptive Submodularity. In the
NIPS Workshop on Machine Learning for Sustainability (MLSUST) , Lake Tahoe, NV, December
2013.
[3] Yuxin Chen , Andreas Krause. Near-optimal Batch Mode Active Learning and Stochastic Optimization. In the 4th NIPS Workshop on Discrete Optimization in Machine Learning Structure and
Scalability (DISCML) , Lake Tahoe, NV, December 2012.
President of the National-Music Orchestra of USTC (2008-2009)
Chinese oboe & reed organ player in NMOU (2006-2009)
Available upon request.
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