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ORCIDShuo Chen 0008
Person information
- affiliation (PhD 2016): Cornell University, Department of Computer Science, Ithaca, NY, USA
- affiliation (from 2007 - 20010): Tsinghua University, Department of Automation, Tsinghua National Laboratory for Information Science and Technology, Beijing, China
Other persons with the same name
- Shuo Chen — disambiguation page
- Shuo Chen 0001 — Microsoft Research, Redmond, WA, USA (and 1 more)
- Shuo Chen 0002
![[0000-0001-7453-8282]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-7453-8282")
— Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing Key Laboratory of Network System Architecture and Convergence, China - Shuo Chen 0003 — RIKEN, Center for Advanced Intelligence Project (AIP), Tokyo, Japan (and 1 more)
- Shuo Chen 0004 — National University of Defense Technology, School of Electronic Science, Changsha, China
- Shuo Chen 0005 — Northeastern University, Sino-Dutch Biomedical and Information Engineering School, Shenyang, China
- Shuo Chen 0006 — Nanyang Technological University, School of Computer Science and Engineering, Singapore
- Shuo Chen 0007 — New Jersey Institute of Technology, Department of Computer Science, Newark, NJ, USA (and 1 more)
- Shuo Chen 0009 — Tsinghua University, Department of Automation, Tsinghua National Laboratory for Information Science and Technology, Research Institute of Information Technology, Beijing, China
- Shuo Chen 0010 — TikTok, Singapore (and 1 more)
- Shuo Chen 0011 — Xiamen University, Department of Cognitive Science, China
- Shuo Chen 0012 — Shenzhen University, College of Computer Science and Software Engineering, China
- Shuo Chen 0013 — Harbin Institute of Technology, School of Astronautics, China
- Shuo Chen 0014 — LMU Munich, Germany
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2010 – 2019
- 2017
[c13]Di Chen, Yexiang Xue, Daniel Fink, Shuo Chen, Carla P. Gomes:
Deep Multi-species Embedding. IJCAI 2017: 3639-3646- 2016
- [b1]Shuo Chen:
Representation learning for sequence and comparison data. Cornell University, USA, 2016 - [c12]Shuo Chen, Thorsten Joachims:
Predicting Matchups and Preferences in Context. KDD 2016: 775-784 - [c11]Shuo Chen, Thorsten Joachims:
Modeling Intransitivity in Matchup and Comparison Data. WSDM 2016: 227-236 - [i1]Di Chen, Yexiang Xue, Shuo Chen, Daniel Fink, Carla P. Gomes:
Deep Multi-Species Embedding. CoRR abs/1609.09353 (2016) - 2013
- [c10]Joshua L. Moore, Shuo Chen, Douglas R. Turnbull, Thorsten Joachims:
Taste Over Time: The Temporal Dynamics of User Preferences. ISMIR 2013: 401-406 - [c9]Shuo Chen, Jiexun Xu, Thorsten Joachims:
Multi-space probabilistic sequence modeling. KDD 2013: 865-873 - 2012
- [c8]Joshua L. Moore, Shuo Chen, Thorsten Joachims, Douglas R. Turnbull:
Learning to Embed Songs and Tags for Playlist Prediction. ISMIR 2012: 349-354 - [c7]Shuo Chen, Joshua L. Moore, Douglas R. Turnbull, Thorsten Joachims:
Playlist prediction via metric embedding. KDD 2012: 714-722 - 2010
- [c6]Shuo Chen, Jianwen Zhang, Guangyun Chen, Changshui Zhang:
What if the Irresponsible Teachers Are Dominating? AAAI 2010: 419-424
2000 – 2009
- 2009
- [c5]Shuo Chen, Bin Liu, Mingjie Qian, Changshui Zhang:
Instance- and bag-level manifold regularization for aggregate outputs classification. CIKM 2009: 1593-1596 - [c4]Guangyun Chen, Gang Chen, Jianwen Zhang, Shuo Chen, Changshui Zhang:
Beyond Banditron: A Conservative and Efficient Reduction for Online Multiclass Prediction with Bandit Setting Model. ICDM 2009: 71-80 - [c3]Shuo Chen, Bin Liu, Mingjie Qian, Changshui Zhang:
Kernel K-means Based Framework for Aggregate Outputs Classification. ICDM Workshops 2009: 356-361 - [c2]Bin Liu, Shuo Chen, Mingjie Qian, Changshui Zhang:
Sparse Norm-Regularized Reconstructive Coefficients Learning. ICDM 2009: 854-859 - [c1]Shuo Chen, Changshui Zhang:
Selecting Informative Universum Sample for Semi-Supervised Learning. IJCAI 2009: 1016-1021
Coauthor Index
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