Eric Xing

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Amr AhmedSenior Staff Research Scientist, Google AIVerified email at google.com
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Jun ZhuProfessor of Computer Science, Tsinghua UniversityVerified email at mail.tsinghua.edu.cn
Garth Alan GibsonPresident & CEO, Vector Institute; Consulting Professor of Computer Science, Carnegie MellonVerified email at vectorinstitute.ai
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Mladen KolarUniversity of Southern CaliforniaVerified email at usc.edu
Kumar Avinava DubeyGoogle ResearchVerified email at google.com
Jacob EisensteinGoogle ResearchVerified email at google.com
David BleiProfessor of Statistics and Computer Science, Columbia UniversityVerified email at columbia.edu
Edoardo M AiroldiProfessor of Statistics & Data Science Temple University & PI, Harvard UniversityVerified email at fas.harvard.edu
Li Fei-FeiProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Andre MartinsCarnegie Mellon University and Instituto Superior TecnicoVerified email at cs.cmu.edu
Gunhee KimProfessor, Seoul National UniversityVerified email at snu.ac.kr
William W. CohenCMU and Google DeepMindVerified email at google.com
Mario A. T. FigueiredoInstituto de Telecomunicações, Instituto Superior Técnico, Universidade de LisboaVerified email at tecnico.ulisboa.pt
Pedro M. Q. AguiarInstitute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior Técnico, Univ LisboaVerified email at isr.ist.utl.pt
Chong WangAppleVerified email at cs.princeton.edu
Sinead WilliamsonApple Machine Learning ResearchVerified email at mccombs.utexas.edu
Brendan T. O'ConnorUniversity of Massachusetts AmherstVerified email at cs.umass.edu
Steve HannekePurdue UniversityVerified email at ttic.edu

Eric Xing

President at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon U

Verified email at cs.cmu.edu - Homepage

Machine Learning ML Systems Statistics Network Analysis AI4Science


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Distance metric learning with application to clustering with side-information E Xing, M Jordan, SJ Russell, A Ng Advances in neural information processing systems 15, 2002	4090	2002
Theoretically principled trade-off between robustness and accuracy H Zhang, Y Yu, J Jiao, E Xing, L El Ghaoui, M Jordan International conference on machine learning, 7472-7482, 2019	2956	2019
Mixed membership stochastic blockmodels EM Airoldi, D Blei, S Fienberg, E Xing Advances in neural information processing systems 21, 2008	2722	2008
Judging llm-as-a-judge with mt-bench and chatbot arena L Zheng, WL Chiang, Y Sheng, S Zhuang, Z Wu, Y Zhuang, Z Lin, Z Li, ... Advances in Neural Information Processing Systems 36, 46595-46623, 2023	2583	2023
Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality, March 2023 WL Chiang, Z Li, Z Lin, Y Sheng, Z Wu, H Zhang, L Zheng, S Zhuang, ... URL https://lmsys. org/blog/2023-03-30-vicuna 3 (5), 2023	2573*	2023
Toward controlled generation of text Z Hu, Z Yang, X Liang, R Salakhutdinov, EP Xing International conference on machine learning, 1587-1596, 2017	1314*	2017
Object bank: A high-level image representation for scene classification & semantic feature sparsification LJ Li, H Su, L Fei-Fei, E Xing Advances in neural information processing systems 23, 2010	1245	2010
Dags with no tears: Continuous optimization for structure learning X Zheng, B Aragam, PK Ravikumar, EP Xing Advances in neural information processing systems 31, 2018	1118	2018
Deep kernel learning AG Wilson, Z Hu, R Salakhutdinov, EP Xing Artificial intelligence and statistics, 370-378, 2016	1104	2016
Learning robust global representations by penalizing local predictive power H Wang, S Ge, Z Lipton, EP Xing Advances in Neural Information Processing Systems 32, 2019	991	2019
More effective distributed ml via a stale synchronous parallel parameter server Q Ho, J Cipar, H Cui, S Lee, JK Kim, PB Gibbons, GA Gibson, G Ganger, ... Advances in neural information processing systems 26, 2013	985	2013
Feature selection for high-dimensional genomic microarray data EP Xing, MI Jordan, RM Karp Icml 1 (3), 601-608, 2001	984	2001
A latent variable model for geographic lexical variation J Eisenstein, B O’Connor, NA Smith, E Xing Proceedings of the 2010 conference on empirical methods in natural language …, 2010	938	2010
Harnessing deep neural networks with logic rules Z Hu, X Ma, Z Liu, E Hovy, E Xing arXiv preprint arXiv:1603.06318, 2016	800	2016
Neural architecture search with bayesian optimisation and optimal transport K Kandasamy, W Neiswanger, J Schneider, B Poczos, EP Xing Advances in neural information processing systems 31, 2018	739	2018
Self-challenging improves cross-domain generalization Z Huang, H Wang, EP Xing, D Huang Computer vision–ECCV 2020: 16th European conference, Glasgow, UK, August 23 …, 2020	729	2020
Petuum: A new platform for distributed machine learning on big data EP Xing, Q Ho, W Dai, JK Kim, J Wei, S Lee, X Zheng, P Xie, A Kumar, ... Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015	698	2015
On the automatic generation of medical imaging reports B Jing, P Xie, E Xing arXiv preprint arXiv:1711.08195, 2017	691	2017
Tree-guided group lasso for multi-response regression with structured sparsity, with an application to eQTL mapping S Kim, EP Xing	677	2012
Online detection of unusual events in videos via dynamic sparse coding B Zhao, L Fei-Fei, EP Xing CVPR 2011, 3313-3320, 2011	666	2011

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