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Eric Xing

Machine Learning Statistical Methodology Large-scale Computational Systems Automated Reasoning And Decision-making Multimodal Dynamic Systems
Carnegie Mellon University Department of Computer Science

About

Eric P. Xing is the President of the Mohamed bin Zayed University of Artificial Intelligence, and a Professor of Computer Science at Carnegie Mellon University. He completed his undergraduate study at Tsinghua University, and holds a PhD in Molecular Biology and Biochemistry from the Rutgers University, and a PhD in Computer Science from the University of California, Berkeley. His main research interests are the development of machine learning and statistical methodology, and large-scale computational system and architectures, for solving problems involving automated learning, reasoning, and decision-making in high-dimensional, multimodal, and dynamic possible worlds in artificial, biological, and social systems. Prof. Xing currently serves or has served the following roles: associate editor of the Journal of the American Statistical Association (JASA), Annals of Applied Statistics (AOAS), IEEE Journal of Pattern Analysis and Machine Intelligence (PAMI) and the PLoS Journal of Computational Biology; action editor of the Machine Learning Journal (MLJ) and Journal of Machine Learning Research (JMLR); member of the United States Department of Defense Advanced Research Projects Agency (DARPA) Information Science and Technology (ISAT) advisory group. He is a recipient of the National Science Foundation (NSF) Career Award, the Alfred P. Sloan Research Fellowship, the United States Air Force Office of Scientific Research Young Investigator Award, the IBM Open Collaborative Research Faculty Award, as well as several best paper awards. Prof Xing is a board member of the International Machine Learning Society; he has served as the Program Chair (2014) and General Chair (2019) of the International Conference of Machine Learning (ICML); he is also the Associate Department Head of the Machine Learning Department, founding director of the Center for Machine Learning and Health at Carnegie Mellon University; he is a Fellow of AAAI, ACM, ASA, IEEE, and IMS.

Research Performance Summary

839
Total Papers
90263
Total Citations
133
H-Index
1993-2026
Active Research Span

First Recorded Paper

Parsing to programs: A framework for situated question answering

Year: 1993

Citations: 2

Venue: Journal of Artificial Intelligence Research 1

Latest Recorded Paper

LAPS: A Length-Aware-Prefill LLM Serving System

Year: 2026

Citations: 0

Venue: arXiv e-prints, arXiv: 2601.11589

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2026
13
2025
61
2024
49
2023
45
2022
52
2021
32
2020
52
2019
43
2018
66
2017
44
2016
40

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 275
Journal 49
Book 36

Top Coauthors

Xing Zhang Wang

Research Impact by Period

2025-2026

Period Stats
Papers 74
Citations 558
Avg. Citations / Paper 7.5
H-Index 13

2020-2024

Period Stats
Papers 230
Citations 27533
Avg. Citations / Paper 119.7
H-Index 60

2015-2019

Period Stats
Papers 229
Citations 29898
Avg. Citations / Paper 130.6
H-Index 73

2010-2014

Period Stats
Papers 189
Citations 16398
Avg. Citations / Paper 86.8
H-Index 59

2005-2009

Period Stats
Papers 93
Citations 9170
Avg. Citations / Paper 98.6
H-Index 39

2000-2004

Period Stats
Papers 15
Citations 6022
Avg. Citations / Paper 401.5
H-Index 10

1995-1999

Period Stats
Papers 8
Citations 682
Avg. Citations / Paper 85.2
H-Index 5

1990-1994

Period Stats
Papers 1
Citations 2
Avg. Citations / Paper 2
H-Index 1

Contact and Professional Links

Contact Information

epxing@andrew.cmu.edu
4122682559

Detected Research Keywords

Distributed Machine Learning Genome Wide Association Dirichlet Process Mixture Wide Association Studies International Conference Machine Conference Machine Learning Distance Metric Learning Convolutional Neural Networks Neural Architecture Search Structure Correcting Adversarial