Lin Liao

Artificial Intelligence · IEEE pervasive computing · 2003–2007

A researcher in the Science corpus: 4 papers; trusts 25 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it; #7,409 of 35,345 by trust here, #8,999 by citations
• Computer Vision and Pattern Recognition — 13 citations into it; #8,623 of 21,575 by trust here, #14,822 by citations
• Signal Processing — 11 citations into it; #2,481 of 7,572 by trust here, #4,201 by citations
• Computer Networks and Communications — 10 citations into it; #2,996 of 9,886 by trust here, #1,645 by citations
• Information Systems — 7 citations into it
• Natural Language Processing — 7 citations into it
• Model Architectures — 6 citations into it
• Transportation — 5 citations into it

Whom Lin Liao trusts overall

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

1. Lawrence R. Rabiner
2. Ramaswamy Hariharan
3. Julian Besag
4. Andrew McCallum
5. Fei Sha
6. Sanjiv Kumar
7. Daniel Ashbrook
8. John D. Lafferty
9. B. Taskar
10. Fernando C Pereira

Who trusts Lin Liao overall

1. Diane Joyce Cook
2. Jaeyong Sung
3. Douglas L. Vail
4. Parisa Rashidi
5. Min Y. Mun
6. John Krumm
7. Anand V. Panangadan
8. Sasank Reddy
9. Eren Erdal Aksoy
10. Yu Zheng

Papers from Lin Liao's perspective

Ordered by how strongly the researchers Lin Liao 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Bayesian Filtering for Location Estimation (2003) — 813 citations
• Inferring High-Level Behavior from Low-Level Sensors (2003) — 618 citations
• Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields (2007) — 470 citations
• Location-Based Activity Recognition using Relational Markov Networks (2005) — 378 citations