World's Best Scientists 2026 revealed!
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Computer Science
UAE
2026

D-Index & Metrics

Computer Science

D-Index
113
Citations
52126
World Ranking
202
National Ranking
5

Research.com Recognitions

  • 2026 - Research.com Computer Science in United Arab Emirates Leader Award
  • 2025 - Research.com Computer Science in United Arab Emirates Leader Award
  • 2016 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to statistical machine learning, its theoretical analysis, new algorithms for learning probabilistic models, and applications of these to important problems in biology, social network analysis, natural language processing and beyond; and to the development of new architecture, system platform, and theory for distributed machine learning programs on large scale applications.
  • 2008 - Fellow of Alfred P. Sloan Foundation

Overview

Eric P. Xing is affiliated with the Mohamed bin Zayed University of Artificial Intelligence in the United Arab Emirates. Their research activity spans the field of Computer Science with a primary focus on Artificial Intelligence, contributing to 257 publications in this subfield. They also work on Computer Vision and Pattern Recognition, Molecular Biology, Radiology, Nuclear Medicine and Imaging, as well as Cardiology and Cardiovascular Medicine.

Eric P. Xing's research covers a range of topics including Domain Adaptation and Few-Shot Learning, Natural Language Processing Techniques, Topic Modeling, Multimodal Machine Learning Applications, Advanced Neural Network Applications, Machine Learning and Data Classification, and Advanced Image and Video Retrieval Techniques.

Frequent venues for their publications include:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of cardiovascular computed tomography
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Some of the recent papers authored by Eric P. Xing are:

  • Sample-Efficient Deep Learning for COVID-19 Diagnosis Based on CT Scans, 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena, 2023, arXiv (Cornell University)
  • Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation Exploitation, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • How to build the virtual cell with artificial intelligence: Priorities and opportunities, 2024, Cell
  • Technology readiness levels for machine learning systems, 2022, Nature Communications

Eric P. Xing has collaborated frequently with several co-authors, including Zhiting Hu, Zhengzhong Liu, Caleb N. Ellington, Pengtao Xie, and Haohan Wang.

The scientist has been recognized as a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 2016 for contributions to statistical machine learning, theoretical analysis, probabilistic model algorithms, and system architecture for distributed machine learning. They are also a Fellow of the Alfred P. Sloan Foundation, awarded in 2008.

Best Publications

  • Distance Metric Learning with Application to Clustering with Side-Information

    Eric P. Xing;Michael I. Jordan;Stuart J Russell;Andrew Y. Ng

  • Mixed Membership Stochastic Blockmodels

    Edoardo M. Airoldi;David M. Blei;Stephen E. Fienberg;Eric P. Xing

  • Theoretically Principled Trade-off between Robustness and Accuracy

    Hongyang Zhang;Yaodong Yu;Jiantao Jiao;Eric P. Xing

  • Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification

    Li-jia Li;Hao Su;Li Fei-fei;Eric P. Xing

  • Feature selection for high-dimensional genomic microarray data

    Eric P. Xing;Michael I. Jordan;Richard M. Karp

  • Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity

    Seyoung Kim;Eric P. Xing

  • Toward controlled generation of text

    Zhiting Hu;Zichao Yang;Xiaodan Liang;Ruslan Salakhutdinov

  • Judging LLM-as-a-judge with MT-Bench and Chatbot Arena

    Unknown

  • A Latent Variable Model for Geographic Lexical Variation

    Jacob Eisenstein;Brendan O'Connor;Noah A. Smith;Eric P. Xing

  • On the Automatic Generation of Medical Imaging Reports

    Baoyu Jing;Pengtao Xie;Eric P. Xing

  • More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server

    Qirong Ho;James Cipar;Henggang Cui;Seunghak Lee

  • Online detection of unusual events in videos via dynamic sparse coding

    Bin Zhao;Li Fei-Fei;Eric P. Xing

  • Harnessing Deep Neural Networks with Logic Rules

    Zhiting Hu;Xuezhe Ma;Zhengzhong Liu;Eduard H. Hovy

  • Discrete temporal models of social networks

    Steve Hanneke;Wenjie Fu;Eric P. Xing

  • Petuum: A New Platform for Distributed Machine Learning on Big Data

    Eric P. Xing;Qirong Ho;Wei Dai;Jin Kyu Kim

  • High-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks

    Haohan Wang;Xindi Wu;Zeyi Huang;Eric P. Xing

  • MedLDA: maximum margin supervised topic models

    Jun Zhu;Amr Ahmed;Eric P. Xing

  • Joint latent topic models for text and citations

    Ramesh M. Nallapati;Amr Ahmed;Eric P. Xing;William W. Cohen

  • Deep Kernel Learning

    Andrew Gordon Wilson;Zhiting Hu;Ruslan Salakhutdinov;Eric P. Xing

  • Self-challenging Improves Cross-Domain Generalization.

    Zeyi Huang;Haohan Wang;Eric P. Xing;Dong Huang

  • DAGs with NO TEARS: Continuous Optimization for Structure Learning

    Xun Zheng;Bryon Aragam;Pradeep K. Ravikumar;Eric P. Xing

  • Learning Robust Global Representations by Penalizing Local Predictive Power.

    Haohan Wang;Songwei Ge;Eric P. Xing;Zachary C. Lipton

  • Learning Robust Global Representations by Penalizing Local Predictive Power

    Haohan Wang;Songwei Ge;Zachary C. Lipton;Eric P. Xing

Frequent Co-Authors

Xiaodan Liang
Xiaodan Liang Sun Yat-sen University
Zhiting Hu
Zhiting Hu University of California, San Diego
Ruslan Salakhutdinov
Ruslan Salakhutdinov Carnegie Mellon University
Amr Ahmed
Amr Ahmed University of Nottingham Malaysia Campus
Noah A. Smith
Noah A. Smith University of Washington
Barnabás Póczos
Barnabás Póczos Carnegie Mellon University
Le Song
Le Song Mohamed bin Zayed University of Artificial Intelligence
Jeff Schneider
Jeff Schneider Carnegie Mellon University
Garth A. Gibson
Garth A. Gibson Carnegie Mellon University
Andrew Gordon Wilson
Andrew Gordon Wilson New York University

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