Yan Xu

Computer Vision and Pattern Recognition · Journal of Financial and Quantitative Analysis · 2000–2021

A researcher in the Science corpus: 40 papers; trusts 935 researchers and is trusted by 53 researchers here, as inferred from the citation graph.

Subfields

Computer Vision and Pattern Recognition — 292 citations into it; #8,054 of 21,575 by trust here, #3,875 by citations
Artificial Intelligence — 195 citations into it; #7,001 of 35,345 by trust here, #3,624 by citations
Accounting — 119 citations into it; #5,398 of 8,970 by trust here, #1,795 by citations
Economics and Econometrics — 92 citations into it; #12,622 of 23,481 by trust here, #3,392 by citations
Finance — 88 citations into it
Natural Language Processing — 83 citations into it; #1,744 of 5,688 by trust here, #1,099 by citations
Representation & Self-Supervised Learning — 52 citations into it; #2,974 of 3,145 by trust here, #1,754 by citations
Generative Models — 44 citations into it

Whom Yan Xu trusts overall

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

Who trusts Yan Xu overall

Papers from Yan Xu's perspective

Ordered by how strongly the researchers Yan Xu 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
Attention is All you Need (Neural Information Processing Systems)
ImageNet: A large-scale hierarchical image database
Gradient-based learning applied to document recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
ImageNet Large Scale Visual Recognition Challenge
Going deeper with convolutions

Their papers

Large Scale Image Completion via Co-Modulated Generative Adversarial Networks (2021) — 359 citations
Natural Language Inference by Tree-Based Convolution and Heuristic Matching (2015) — 368 citations
Unsupervised object class discovery via saliency-guided multiple class learning (2012) — 160 citations
Deep learning of feature representation with multiple instance learning for medical image analysis (2014) — 415 citations
How Transferable are Neural Networks in NLP Applications? (2016) — 305 citations
Weakly supervised histopathology cancer image segmentation and classification (2014) — 312 citations
Exact Adversarial Attack to Image Captioning via Structured Output Learning With Latent Variables (2019) — 61 citations
Discriminative Neural Sentence Modeling by Tree-Based Convolution (2015) — 127 citations
Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths (2015) — 691 citations
Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization (2018) — 372 citations
Financial development and innovation: Cross-country evidence (2014) — 1,586 citations
A Multi-Agent Deep Reinforcement Learning Method for Cooperative Load Frequency Control of a Multi-Area Power System (2020) — 315 citations
Local discontinuous Galerkin methods for nonlinear Schrödinger equations (2005) — 196 citations
SINCERA: A Pipeline for Single-Cell RNA-Seq Profiling Analysis (2015) — 326 citations
What Affects Innovation More: Policy or Policy Uncertainty? (2017) — 501 citations
Bidding Strategy for Microgrid in Day-Ahead Market Based on Hybrid Stochastic/Robust Optimization (2016) — 438 citations
Recursive Cascaded Networks for Unsupervised Medical Image Registration (2019) — 300 citations
A Digital-Twin-Assisted Fault Diagnosis Using Deep Transfer Learning (2019) — 415 citations
The Needs-Affordances-Features Perspective for the Use of Social Media (2018) — 387 citations
Unsupervised End-to-end Learning for Deformable Medical Image Registration (2017) — 55 citations