Junqi Jin
Computer Vision and Pattern Recognition · 2014–2017
A researcher in the Science corpus: 3 papers; trusts 59 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 32 citations into it; #17,636 of 21,575 by trust here, #6,873 by citations
- Artificial Intelligence — 25 citations into it
- Marketing — 7 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Junqi Jin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dan Claudiu Ciresan
- Yann LeCun
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yoshua Bengio
- Matthijs C. Dorst
- Navneet Dalal
- Barbara Olshausen
- Pierre Sermanet
- Ueli Meier
Who trusts Junqi Jin overall
Papers from Junqi Jin's perspective
Ordered by how strongly the researchers Junqi Jin 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Deep Interest Network for Click-Through Rate Prediction (2017) — 2,280 citations
- Traffic Sign Recognition With Hinge Loss Trained Convolutional Neural Networks (2014) — 312 citations
- Optimized Cost per Click in Taobao Display Advertising (2017) — 171 citations