Can Wang

Artificial Intelligence · with Cao · 2011

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 Can Wang trusts overall

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

  1. Ulrike von Luxburg
  2. Amir Ahmad
  3. Deng Cai
  4. Shyam Boriah
  5. Guojun Gan
  6. Lipika Dey
  7. Xiaofei He
  8. Varun Chandola

Who trusts Can Wang overall

  1. Fangfang Li
  2. Xi Zhang
  3. Guandong Xu

Papers from Can Wang's perspective

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

  1. A tutorial on spectral clustering
  2. Document clustering using locality preserving indexing (IEEE Transactions on Knowledge and Data Engineering)
  3. Similarity Measures for Categorical Data: A Comparative Evaluation (SDM)
  4. A k-mean clustering algorithm for mixed numeric and categorical data (Data & Knowledge Engineering)
  5. Data Clustering: Theory, Algorithms, and Applications (ASA-SIAM Series on Statistics and Applied Probability)
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Et al
  9. Gradient-based learning applied to document recognition
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers