Rong Pan
Information Systems · with Yang · 2005–2009
A researcher in the Science corpus: 7 papers; trusts 24 researchers and is trusted by 41 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 36 citations into it; #617 of 8,771 by trust here, #356 by citations
- Artificial Intelligence — 31 citations into it; #5,378 of 35,345 by trust here, #4,682 by citations
- Computer Vision and Pattern Recognition — 13 citations into it
- Natural Language Processing — 13 citations into it
- Recommender Systems — 12 citations into it; #120 of 233 by trust here, #65 by citations
- Evaluation & Benchmarks — 6 citations into it
- Management Science and Operations Research — 6 citations into it; #6,032 of 11,946 by trust here, #2,241 by citations
- Algorithms & Complexity — 5 citations into it
Whom Rong Pan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Leo Breiman
- Thorsten Joachims
- Nati Srebro
- Thomas Hofmann
- Andrew McCallum
- Lawrence R. Rabiner
- Yunhong Zhou
- Gediminas Adomavicius
- Tommi S. Jaakkola
- Abhinandan Das
Who trusts Rong Pan overall
- Steffen Rendle
- Harald Steck
- Weike Pan
- Ruining He
- Julian McAuley
- Chen-Kuang Cheng
- Xiaodong Zheng
- Yanen Li
- Yue Shi
- Dawen Liang
Papers from Rong Pan's perspective
Ordered by how strongly the researchers Rong Pan 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Large-Scale Parallel Collaborative Filtering for the Netflix Prize (2008) — 846 citations
- Query enrichment for web-query classification (2006) — 174 citations
- One-Class Collaborative Filtering (2008) — 1,084 citations
- Mind the gaps: weighting the unknown in large-scale one-class collaborative filtering (2009) — 170 citations
- Domain-constrained semi-supervised mining of tracking models in sensor networks (2007) — 41 citations
- Extracting Actionable Knowledge from Decision Trees (2007) — 118 citations
- Q2C@UST: our winning solution to query classification in KDDCUP 2005 (2005) — 143 citations