Mingyue Niu

Artificial Intelligence · 2018

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

Subfields

Whom Mingyue Niu trusts

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

  1. Matthew D. Zeiler (in Artificial Intelligence)

Papers from Mingyue Niu's perspective

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

  1. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  2. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  3. GloVe: Global Vectors for Word Representation
  4. ADADELTA: An Adaptive Learning Rate Method
  5. SoundNet: Learning Sound Representations from Unlabeled Video
  6. The INTERSPEECH 2010 paralinguistic challenge (Interspeech)
  7. OpenFace: An open source facial behavior analysis toolkit (IEEE Workshop/Winter Conference on Applications of Computer Vision)
  8. The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (IEEE Transactions on Affective Computing)
  9. AVEC 2017: Real-life Depression, and Affect Recognition Workshop and Challenge (AVEC@ACM Multimedia)
  10. Audio augmentation for speech recognition

Their papers