Jianpeng Xu

Artificial Intelligence · 2015–2017

A researcher in the Science corpus: 4 papers; trusts 35 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it; #18,929 of 35,345 by trust here, #28,481 by citations
• Representation & Self-Supervised Learning — 29 citations into it
• Computational Mechanics — 28 citations into it
• Optimization & Training — 17 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Computer Networks and Communications — 7 citations into it
• Biomedical Engineering — 6 citations into it
• Physiology — 6 citations into it

Whom Jianpeng Xu trusts overall

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

1. Jiayu Zhou
2. R. Caruana
3. Theodoros Evgeniou
4. Hal Daumé Iii
5. Jianhui Chen
6. Jieping Ye
7. Massimiliano Pontil
8. Kai Yu
9. Andreas Argyriou
10. Stephen J. Wright

Who trusts Jianpeng Xu overall

1. Yu Zhang
2. Qiang Yang
3. Harini Suresh
4. Jen J. Gong
5. Yongcheng Jing

Papers from Jianpeng Xu's perspective

Ordered by how strongly the researchers Jianpeng Xu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
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. Multitask Learning

Their papers

• Online Multi-Task Learning Framework for Ensemble Forecasting (2017) — 29 citations
• Multi-Task Feature Interaction Learning (2016) — 33 citations
• GSpartan: a Geospatio-Temporal Multi-task Learning Framework for Multi-location Prediction (2016) — 22 citations
• FORMULA: FactORized MUlti-task LeArning for task discovery in personalized medical models (2015) — 33 citations