Standout Papers

Distance Metric Learning with Application to Clustering with Side-Information 2002 2026 2010 2018 1.2k
  1. Distance Metric Learning with Application to Clustering with Side-Information (2002)
    Eric P. Xing, Michael I. Jordan et al. Neural Information Processing Systems
  2. Mixed Membership Stochastic Blockmodels. (2008)
    Edoardo M. Airoldi, David M. Blei et al. PubMed
  3. Discrete temporal models of social networks (2010)
    Steve Hanneke, Wenjie Fu et al. Electronic Journal of Statistics
  4. Semantic Pooling for Complex Event Analysis in Untrimmed Videos (2016)
    Xiaojun Chang, Yaoliang Yu et al. IEEE Transactions on Pattern Analysis and Machine Intelligence
  5. A foundation model of transcription across human cell types (2025)
    Xi Fu, Shentong Mo et al. Nature

Immediate Impact

5 by Nobel laureates 36 from Science/Nature 60 standout
Sub-graph 1 of 25

Citing Papers

From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment
2023 Standout
Data augmentation approaches in natural language processing: A survey
2022 Standout

Works of Eric P. Xing being referenced

Learning Data Manipulation for Augmentation and Weighting
2019
Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation
2019

Author Peers

Author Last Decade Papers Cites
Eric P. Xing 4662 3485 1628 274 9.9k
John Lafferty 7918 2959 1587 121 12.9k
Krzysztof J. Cios 5117 3090 1480 98 12.5k
Max Welling 6112 4584 743 157 12.4k
Heng Huang 4026 4908 1358 371 10.1k
David H. Wolpert 8095 1565 1092 126 15.5k
Chris Bishop 4389 2682 974 75 11.2k
Tommi Jaakkola 4923 1744 5244 147 14.3k
Jason Weston 6474 4948 5087 91 17.3k
Inderjit S. Dhillon 2802 1769 679 134 6.5k
Jieping Ye 3961 4891 1068 272 14.7k

All Works

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Rankless by CCL
2026