If you made any changes in Pure, your changes will be visible here soon.

Fingerprint Dive into the research topics where Suhang Wang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 29 Similar Profiles
Recommender systems Engineering & Materials Science
Supervised learning Engineering & Materials Science
Labels Engineering & Materials Science
Experiments Engineering & Materials Science
Neural networks Engineering & Materials Science
Feature extraction Engineering & Materials Science
Collaborative filtering Engineering & Materials Science
Learning systems Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2013 2019

  • 807 Citations
  • 14 h-Index
  • 35 Conference contribution
  • 11 Article
  • 1 Paper
  • 1 Review article
2 Citations (Scopus)

Beyond news contents: The role of social context for fake news detection

Shu, K., Wang, S. & Liu, H., Jan 30 2019, WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 312-320 9 p. (WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ecosystems
Costs
Experiments
2 Citations (Scopus)

Disentangled Variational Auto-Encoder for semi-supervised learning

Li, Y., Pan, Q., Wang, S., Peng, H., Yang, T. & Cambria, E., May 1 2019, In : Information Sciences. 482, p. 73-85 13 p.

Research output: Contribution to journalArticle

Semi-supervised Learning
Supervised learning
Encoder
Classifiers
Classifier
1 Citation (Scopus)

Learning binary codes with neural collaborative filtering for efficient recommendation systems

Li, Y., Wang, S., Pan, Q., Peng, H., Yang, T. & Cambria, E., May 15 2019, In : Knowledge-Based Systems. 172, p. 64-75 12 p.

Research output: Contribution to journalArticle

Collaborative filtering
Binary codes
Recommender systems
Neural networks
Experiments
1 Citation (Scopus)

Linked variational autoencoders for inferring substitutable and supplementary items

Rakesh, V., Wang, S., Shu, K. & Liu, H., Jan 30 2019, WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 438-446 9 p. (WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Collaborative filtering
Neural networks
Controllers
Experiments
Deep learning

Multi-dimensional graph convolutional networks

Ma, Y., Wang, S., Aggarwal, C. C., Yin, D. & Tang, J., Jan 1 2019, SIAM International Conference on Data Mining, SDM 2019. Society for Industrial and Applied Mathematics Publications, p. 657-665 9 p. (SIAM International Conference on Data Mining, SDM 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neural networks
Experiments