Qun Jin

IEEE Internet of Things Journal · 2013–2021

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Qun Jin trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Diederik P. Kingma (in Probabilistic & Bayesian Methods)

Papers from Qun Jin's perspective

Ordered by how strongly the researchers Qun Jin trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
  2. Representation Learning: A Review and New Perspectives
  3. Semi-Supervised Learning
  4. EESEN: End-to-end speech recognition using deep RNN models and WFST-based decoding
  5. Stochastic Gradient VB and the Variational Auto-Encoder
  6. Activity Recognition from User-Annotated Acceleration Data
  7. Recognizing human motion with multiple acceleration sensors (2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236))
  8. Machine Learning DDoS Detection for Consumer Internet of Things Devices (2018 IEEE Security and Privacy Workshops (SPW))
  9. A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection
  10. Activity and Location Recognition Using Wearable Sensors (IEEE pervasive computing)

Their papers