Jian-Sheng Wu
Computer Vision and Pattern Recognition · 2019
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 8 citations into it
- Artificial Intelligence — 6 citations into it
Whom Jian-Sheng Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Jian-Sheng Wu's perspective
Ordered by how strongly the researchers Jian-Sheng Wu trusts endorse each paper. Same corpus, a different order for every researcher.
- A tutorial on spectral clustering
- Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions
- A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Solving cluster ensemble problems by bipartite graph partitioning (International Conference on Machine Learning)
- Parallel Spectral Clustering in Distributed Systems (IEEE Transactions on Pattern Analysis and Machine Intelligence)
- Data clustering: 50 years beyond K-means
- Efficient k-nearest neighbor graph construction for generic similarity measures
- Long Short-Term Memory
- Combining multiple clusterings using evidence accumulation (IEEE Transactions on Pattern Analysis and Machine Intelligence)
Their papers
- Ultra-Scalable Spectral Clustering and Ensemble Clustering (2019) — 448 citations