Weike Pan

Information Systems · 2009–2017

A researcher in the Science corpus: 10 papers; trusts 76 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 83 citations into it; #1,237 of 8,771 by trust here, #1,284 by citations
• Artificial Intelligence — 76 citations into it; #9,571 of 35,345 by trust here, #11,624 by citations
• Recommender Systems — 51 citations into it
• Management Science and Operations Research — 38 citations into it; #10,581 of 11,946 by trust here, #4,921 by citations
• Computer Vision and Pattern Recognition — 26 citations into it
• Representation & Self-Supervised Learning — 24 citations into it
• Marketing — 21 citations into it
• Optimization & Training — 16 citations into it

Whom Weike Pan trusts overall

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

1. Steffen Rendle
2. Yehuda Koren
3. Qiang Yang
4. Ruslan Salakhutdinov
5. Sinno Jialin Pan
6. Bin Li
7. Nati Srebro
8. Andriy Mnih
9. L. Eon Bottou
10. Ajit Paul Singh

Who trusts Weike Pan overall

1. Qiang Yang
2. Feng Zhu
3. Ruining He
4. Zhong Ming
5. Iván Cantador
6. Qian Zhang
7. Hao Zhong
8. Garrett Wilson
9. Ben Tan
10. Julian McAuley

Papers from Weike Pan's perspective

Ordered by how strongly the researchers Weike Pan 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. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Transfer Learning for Semisupervised Collaborative Recommendation (2016) — 20 citations
• Compressed knowledge transfer via factorization machine for heterogeneous collaborative recommendation (2015) — 59 citations
• Adaptive Bayesian personalized ranking for heterogeneous implicit feedbacks (2015) — 168 citations
• Transfer Learning for Behavior Ranking (2017) — 42 citations
• Transfer Learning for Heterogeneous One-Class Collaborative Filtering (2016) — 48 citations
• Transfer learning in heterogeneous collaborative filtering domains (2013) — 174 citations
• Transfer Learning in Collaborative Filtering with Uncertain Ratings (2012) — 84 citations
• Transfer Learning in Collaborative Filtering for Sparsity Reduction (2010) — 409 citations
• Accelerated Gradient Methods for Stochastic Optimization and Online Learning (2009) — 186 citations
• Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence GBPR: Group Preference Based Bayesian Personalized Ranking for One-Class Collaborative Filtering — 225 citations