Jun Pang

Transportation · with Dong · 2009–2016

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Transportation — 8 citations into it; #1,057 of 2,062 by trust here, #1,854 by citations
• Representation & Self-Supervised Learning — 6 citations into it
• Statistical and Nonlinear Physics — 5 citations into it; #6,319 of 10,127 by trust here, #8,981 by citations

Whom Jun Pang trusts overall

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

1. Aditya Grover
2. Michal Kosinski
3. Daniele Quercia
4. Tehila Minkus
5. Jure Leskovec
6. Jian Tang
7. David J. Crandall
8. Lars Backstrom
9. Tomas Mikolov
10. David J. Stillwell

Who trusts Jun Pang overall

1. Ahmed Salem
2. Yang Zhang
3. Mathias Humbert
4. Luca Melis
5. Zhikun Zhang
6. Michael Backes

Papers from Jun Pang's perspective

Ordered by how strongly the researchers Jun Pang 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. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Efficient Estimation of Word Representations in Vector Space
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
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

• DeepCity: A Feature Learning Framework for Mining Location Check-Ins (2016) — 31 citations
• PAT: Towards Flexible Verification under Fairness (2009) — 377 citations