Yuxin Chen – Curriculum Vitae May 2015 Contact Information ETH Zurich, CAB F 65.2 Universit¨ atstrasse 6 8092 Z¨ urich, Switzerland Phone (O): +41 44 632 97 80 E-mail: [email protected] Homepage: http://www.inf.ethz.ch/~chenyux Interests Machine Learning, Interactive Learning, Submodular Optimization, Decision Making Education ETH Zurich, Z¨ urich, Switzerland 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) Research Experiences ETH Z¨ urich, Switzerland Research Assistant September 2011 to present Learning & Adaptive Systems Group - 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. Microsoft Research Cambridge, UK Research Intern Programming Principle and Tools Group July 2014 to October 2014 The University of Kansas, Lawrence, KS USA Graduate Research Assiatant September 2009 to July 2011 Information and Telecommunication Technology Center (ITTC) - 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. Institute of Automation of the Chinese Academy of Sciences, Beijing China Internship July 2008 to August 2008 National Laboratory of Pattern Recognition (NLPR) - Participated in research of Image forensics and image splicing detection. 1 of 3 University of Science and Technology of China, Hefei, Anhui, China Undergraduate Researcher Information Processing Center (IPC) - Participated in research of multimedia information retrieval. - Developed and published a Chinese Chess software. Research Visit & Training September 2007 to July 2009 Massachusetts Institute of Technology, Boston MA, USA. - Research Visit to the Sensing, Learning, and Inference (SLI) Group Feburary 2014 Max Plank Institute for Intelligent Systems, T¨ ubingen, Germany. - Machine Learning Summer School September 2013 Carnegie Mellon University, Pittsburgh PA, USA. - Advanced Summer School on Architectures for Trustworthy Computing Teaching Experiences ETH Z¨ urich, Teaching Assistant. Prof. Andreas Krause, Data Mining: Learning from Large Data Sets Prof. Andreas Krause, Probabilistic Foundations of A.I. Awards 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 Professional Activities Journal Reviewing Algorithmica June 2010 Spring 2012–2014 Fall 2011–2014 2014 2010 June 2010 2009 2009 2004 Program Committee Membership International Conference on Machine Learning (ICML) 2015 Neural Information Processing Systems (NIPS) 2014 External Conference Reviewing 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 Journal Articles [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. Conference Publications [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. 2 of 3 [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. [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. Workshops [1] 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. [2] 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. ExtraActivities Program coordinator of Intelligent Informatics Lab, KU President of the National-Music Orchestra of USTC (NMOU) Chinese oboe & reed organ player in NMOU References Available upon request. 3 of 3
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