Yuxin Chen

Cited by

	All	Since 2018
Citations	1248	999
h-index	20	19
i10-index	27	24

260

130

195

2012201320142015201620172018201920202021202220234 13 33 52 60 80 66 104 148 214 221 245

Public access

View all

23 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Yisong YueCalifornia Institute of Technology; Latitude AIVerified email at caltech.edu
Andreas KrauseProfessor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
Adish SinglaTenure-track Faculty, Max Planck Institute for Software Systems (MPI-SWS), GermanyVerified email at mpi-sws.org
Baihong Jin (金柏宏)MillenniumVerified email at eecs.berkeley.edu
Alberto Sangiovanni VincentelliProfessor of EECS, University of California, BerkeleyVerified email at eecs.berkeley.edu
Pietro PeronaCalifornia Institute of TechnologyVerified email at caltech.edu
Oisin Mac AodhaLecturer (Assistant Professor), University of EdinburghVerified email at ed.ac.uk
Bo LuoProfessor, The University of KansasVerified email at ku.edu
Amin KarbasiYale UniversityVerified email at yale.edu
Jialin SongResearch Scientist, NVIDIAVerified email at nvidia.com
Morteza Haghir ChehreghaniChalmers University of TechnologyVerified email at chalmers.se
Siddhartha SrinivasaBoeing Endowed Professor, University of WashingtonVerified email at cs.washington.edu
J. Andrew BagnellCarnegie Mellon UniversityVerified email at ri.cmu.edu
Xuewen ChenAIWAYSVerified email at ai-ways.com
Shervin JavdaniPhD Student, Robotics Institute, Carnegie Mellon UniversityVerified email at cmu.edu
Ufuk TopcuThe University of Texas at AustinVerified email at utexas.edu
Chenhao TanUniversity of ChicagoVerified email at chenhaot.com
Hamed HassaniElectrical Engineering, Computer Science, and Statistics; University of PennsylvaniaVerified email at seas.upenn.edu
Farnam MansouriMaster's of Computer Science, University of TorontoVerified email at cs.toronto.edu
Pushmeet KohliDeepMindVerified email at google.com

Yuxin Chen

University of Chicago, Assistant Professor of Computer Science

Verified email at uchicago.edu - Homepage

Machine Learning Active Learning Reinforcement Learning Machine Teaching


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization Y Chen, A Krause ICML, 2013	166	2013
A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes J Song, Y Chen, Y Yue The 22nd International Conference on Artificial Intelligence and Statistics …, 2019	105	2019
Teaching Categories to Human Learners with Visual Explanations O Mac Aodha, S Su, Y Chen, P Perona, Y Yue Conference on Computer Vision and Pattern Recognition (CVPR), 2018	66	2018
Near optimal bayesian active learning for decision making S Javdani, Y Chen, A Karbasi, A Krause, D Bagnell, S Srinivasa Artificial Intelligence and Statistics, 430-438, 2014	65	2014
Sequential Information Maximization: When is Greedy Near-optimal? Y Chen, SH Hassani, A Karbasi, A Krause Conference on Learning Theory (COLT), 2015	64	2015
Active detection via adaptive submodularity Y Chen, H Shioi, CF Montesinos, LP Koh, S Wich, A Krause International Conference on Machine Learning, 55-63, 2014	61	2014
Submodular surrogates for value of information Y Chen, S Javdani, A Karbasi, J Bagnell, S Srinivasa, A Krause Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015	58	2015
An encoder-decoder based approach for anomaly detection with application in additive manufacturing Y Tan, B Jin, A Nettekoven, Y Chen, Y Yue, U Topcu, ... 2019 18th IEEE international conference on machine learning and applications …, 2019	52	2019
Understanding the role of adaptivity in machine teaching: The case of version space learners Y Chen, A Singla, O Mac Aodha, P Perona, Y Yue Advances in Neural Information Processing Systems 31, 2018	49	2018
Rethinking Explainability as a Dialogue: A Practitioner's Perspective H Lakkaraju, D Slack, Y Chen, C Tan, S Singh arXiv preprint arXiv:2202.01875, 2022	46	2022
Teaching Multiple Concepts to Forgetful Learners A Hunziker, Y Chen, O Mac Aodha, M Gomez Rodriguez, A Krause, ... Conference on Neural Information Processing Systems (NeurIPS), 2019	43*	2019
ilike: Bridging the semantic gap in vertical image search by integrating text and visual features Y Chen, H Sampathkumar, B Luo, X Chen IEEE Transactions on Knowledge and Data Engineering 25 (10), 2257-2270, 2012	38	2012
S2a: secure smart household appliances Y Chen, B Luo Proceedings of the second ACM conference on Data and Application Security …, 2012	37	2012
Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models F Mansouri, Y Chen, A Vartanian, X Zhu, A Singla Conference on Neural Information Processing Systems (NeurIPS), 2019	35	2019
Near-Optimal Machine Teaching via Explanatory Teaching Sets Y Chen, O Mac Aodha, S Su, P Perona, Y Yue International Conference on Artificial Intelligence and Statistics (AISTATS), 2018	31	2018
A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection B Jin, Y Chen, D Li, K Poolla, A Sangiovanni-Vincentelli 18th IEEE International Conference on Machine Learning and Applications …, 2019	29	2019
Near-optimal Bayesian Active Learning with Correlated and Noisy Tests Y Chen, SH Hassani, A Krause Electronic Journal of Statistics 11 (2), 4969-5017, 2017	25	2017
iLike: integrating visual and textual features for vertical search Y Chen, N Yu, B Luo, X Chen Proceedings of the 18th ACM international conference on Multimedia, 221-230, 2010	23	2010
Learning shape analysis M Brockschmidt, Y Chen, P Kohli, S Krishna, D Tarlow Static Analysis: 24th International Symposium, SAS 2017, New York, NY, USA …, 2017	22	2017
Understanding the Effect of Bias in Deep Anomaly Detection Z Ye, Y Chen, H Zheng The 30th International Joint Conference on Artificial Intelligence (IJCAI 2021), 2021	20	2021

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors