Jie Yin
Artificial Intelligence · with Yang · 2003–2008
A researcher in the Science corpus: 7 papers; trusts 19 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 25 citations into it; #21,429 of 35,345 by trust here, #15,542 by citations
- Electrical and Electronic Engineering — 17 citations into it; #10,895 of 16,539 by trust here, #10,714 by citations
- Computer Networks and Communications — 15 citations into it; #7,870 of 9,886 by trust here, #5,518 by citations
- Information Systems — 12 citations into it; #4,229 of 8,771 by trust here, #3,012 by citations
- Natural Language Processing — 10 citations into it
- Algorithms & Complexity — 7 citations into it
- Signal Processing — 7 citations into it; #6,804 of 7,572 by trust here, #4,560 by citations
- Optimization & Training — 5 citations into it
Whom Jie Yin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Ross Quinlan
- Lawrence R. Rabiner
- Andrew P. Bradley
- Moustafa Youssef
- Thorsten Joachims
- David Martinus Johannes Tax
- Junshui Ma
- Qiang Yang
- Andrew M. Ladd
- Dieter Fox
Who trusts Jie Yin overall
- M. I. Oluwatoyin P. Popoola
- Sinno Jialin Pan
- Qiang Yang
- Longbing Cao
- Masud Karim
- Ke-jun Wang
- Suining He
- James T. Kwok
- Amir-Hossein Karimi
- Jeffrey Junfeng Pan
Papers from Jie Yin's perspective
Ordered by how strongly the researchers Jie Yin trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- The Nature of Statistical Learning Theory
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Query enrichment for web-query classification (2006) — 174 citations
- Adaptive Temporal Radio Maps for Indoor Location Estimation (2005) — 186 citations
- Power-efficient access-point selection for indoor location estimation (2006) — 298 citations
- Sensor-Based Abnormal Human-Activity Detection (2008) — 398 citations
- Extracting Actionable Knowledge from Decision Trees (2007) — 118 citations
- Q2C@UST: our winning solution to query classification in KDDCUP 2005 (2005) — 143 citations
- Postprocessing decision trees to extract actionable knowledge (2003) — 92 citations