Tak-Chung Fu

Signal Processing · 2011

A researcher in the Science corpus: 1 paper; trusts 60 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 35 citations into it; #951 of 7,572 by trust here, #3,673 by citations
• Artificial Intelligence — 18 citations into it; #6,361 of 35,345 by trust here, #20,377 by citations
• Computer Networks and Communications — 8 citations into it
• Economics and Econometrics — 8 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Tak-Chung Fu trusts overall

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

1. Eamonn J. Keogh
2. Michail Vlachos
3. Fabian Mörchen
4. Rakesh Agrawal
5. Michael J. Pazzani
6. Kaushik Chakrabarti
7. Bill Yuan-chi Chiu
8. Philip Ka-Fai Chan
9. Haixun Wang
10. Li Wei

Who trusts Tak-Chung Fu overall

1. Gowtham Atluri
2. Peter Bjødstrup Jensen
3. Gema Bello Orgaz
4. Chunbin Lin
5. Yong Zou
6. Anuj Karpatne
7. Lars Juhl Jensen
8. Jason J. Jung
9. Etienne Boursier
10. Reik V. Donner

Papers from Tak-Chung Fu's perspective

Ordered by how strongly the researchers Tak-Chung Fu trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Fast Time Sequence Indexing for Arbitrary Lp Norms (Very Large Data Bases Conference)
9. Et al
10. Exact indexing of dynamic time warping (Knowledge and Information Systems)

Their papers

• A review on time series data mining (2011) — 1,509 citations