Xuemin Lin
Signal Processing · 2005–2019
A researcher in the Science corpus: 14 papers; trusts 85 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 86 citations into it; #4,867 of 7,572 by trust here, #2,400 by citations
- Computer Networks and Communications — 74 citations into it
- Artificial Intelligence — 73 citations into it; #19,225 of 35,345 by trust here, #26,682 by citations
- Computer Vision and Pattern Recognition — 62 citations into it; #15,942 of 21,575 by trust here, #12,689 by citations
- Statistical and Nonlinear Physics — 40 citations into it
- Information Systems — 36 citations into it; #5,737 of 8,771 by trust here, #5,942 by citations
- Information Retrieval & Search — 20 citations into it
- Computational Theory and Mathematics — 16 citations into it
Whom Xuemin Lin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Donald Kossmann
- Jan Chomicki
- Dimitris Papadias
- Parke Godfrey
- Thorsten Joachims
- Kian-Lee Tan
- Frank Ramsak
- Vagelis Hristidis
- Yufei Tao
- Jarek Gryz
Who trusts Xuemin Lin overall
- Fragkiskos D. Malliaros
- Jian Pei
- Yidong Yuan
- Charu C. Aggarwal
- Wook-Shin Han
- Guoliang Li
- Hao Peng
- Jinsoo Lee
- Konstantinos Skianis
- Mehdi Sharifzadeh
Papers from Xuemin Lin's perspective
Ordered by how strongly the researchers Xuemin Lin 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Et al
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Efficient similarity joins for near duplicate detection (2008) — 717 citations
- Finding Top-k Min-Cost Connected Trees in Databases (2007) — 378 citations
- A survey of community search over big graphs (2019) — 345 citations
- Multiview Spectral Clustering via Structured Low-Rank Matrix Factorization (2017) — 375 citations
- Approximate Nearest Neighbor Search on High Dimensional Data - Experiments, Analyses, and Improvement (v1.0) (2016) — 299 citations
- Efficient Subgraph Matching by Postponing Cartesian Products (2016) — 339 citations
- Taming verification hardness: an efficient algorithm for testing subgraph isomorphism (2008) — 462 citations
- Ranking queries on uncertain data: a probabilistic threshold approach (2008) — 304 citations
- Probabilistic Skylines on Uncertain Data (2007) — 536 citations
- Spark: top-k keyword query in relational databases (2007) — 308 citations
- Selecting Stars: The k Most Representative Skyline Operator (2007) — 409 citations
- Stabbing the sky: efficient skyline computation over sliding windows (2005) — 296 citations
- Term Graph Model for Text Classification (2005) — 49 citations
- Efficient Computation of the Skyline Cube (2005) — 331 citations