Shengjie Wang

Shengjie Wang is an Assistant Professor Faculty Fellow of Computer Science at NYU Shanghai. He obtained his PhD in Computer Science from University of Washington, Seattle. His research interests include machine learning, deep learning, AI for science, optimization, and human-centered AI.

Select Publications

• Machine Learning Force Fields with Data Cost Aware Training. A. Bukharin, T. Liu, S. Wang, S. Zuo, W. Gao, W. Yan, T. Zhao. ICML23
• Constrained Robust Submodular Partitioning. S Wang*, T Zhou*, C Lavania, J Bilmes. NeurIPS21
• Robust Curriculum Learning: from clean label detection to noisy label self-correction.T Zhou*, S Wang*, J Bilmes. ICLR21
• Bias also matters: Bias attribution for deep neural network explanation. S Wang*, T Zhou*, J Bilmes. ICML19
• Analysis of deep neural networks with extended data Jacobian matrix. S Wang, A Mohamed, R Caruana, J Bilmes, M Plilipose, M Richardson, K Geras, G Urban, O Aslan. ICML16

Education

• PhD, Computer Science
  University of Washington, Seattle

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  BS and BA, Computer Science and Psychology

  University of Illinois at Urbana-Champaign