Shengjie Wang

Ph.D Student @ Melodi Lab, UW CSE
wangsj [AT] cs.washington.edu

Biography

I'm a final-year Ph.D student in Computer Science and Engineering at University of Washington, advised by Jeff Bilmes. I'm interested in machine learning in general including fields such as deep learning, submodular optimization, computer vision, and NLP. I received my bachelor degree from University of Illinois at Urbana-Champaign.

Publications


  • [Neurips'20] Guided Learning by Dynamic Instance Hardnes
    S Wang*, T Zhou*, J Bilmes
  • [pdf]
  • [ICML'20] Time-Consistent Self-Supervision for Semi-Supervised Learning
    S Wang*, T Zhou*, J Bilmes
  • [pdf]
  • [ICML'19] Bias also matters: Bias attribution for deep neural network explanation
    S Wang*, T Zhou*, J Bilmes
  • [pdf]
  • [ICML'19] Jumpout: Improved dropout for deep neural networks with relus
    S Wang*, T Zhou*, J Bilmes
  • [pdf]
  • [AISTATS'19] Fixing Mini-batch Sequences with Hierarchical Robust Partitioning
    S Wang, W Bai, C Lavania, J Bilmes
  • [pdf]
  • [Neurips'18] Diverse ensemble evolution: Curriculum data-model marriage
    T Zhou, S Wang, JA Bilmes
  • [pdf]
  • [ICLR'17] Training compressed fully-connected networks with a density-diversity penalty
    S Wang, H Cai, J Bilmes, W Noble
  • [pdf]
  • [ICLR'17] Do deep convolutional nets really need to be deep and convolutional?
    G Urban, KJ Geras, SE Kahou, O Aslan, S Wang, A Mohamed, M Phillipose, M Richardson, R Caruana
  • [pdf]
  • [ICML'16] 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
  • [pdf]
  • [ISMB'16] Faster and more accurate graphical model identification of tandem mass spectra using trellises
    S Wang, JT Halloran, JA Bilmes, WS Noble
  • [pdf]
  • [Neurips'15] Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications
    K Wei, RK Iyer, S Wang, W Bai, JA Bilmes
  • [pdf]
  • [VLDB'13] Towards social data platform: Automatic topic-focused monitor for twitter stream
    R Li, S Wang, KCC Chang
  • [pdf]
  • [PPoPP'13] The tasks with effects model for safe concurrency
    ST Heumann, VS Adve, S Wang
  • [link]
  • [VLDB'12] Multiple location profiling for users and relationships from social network and content
    R Li, S Wang, KCC Chang
  • [pdf]
  • [KDD'12] Towards social user profiling: unified and discriminative influence model for inferring home locations
    R Li, S Wang, KCC Chang
  • [link]

Internships

  • Microsoft Research, Redmond, WA, June - Sept., 2015
    Mentor: Rich Caruana, Abdelrahman Mohamed, Matthai Philipose, Matthew Richardson
HORANDO