Bin Liu

Computer Vision and Pattern Recognition · PLoS Biology · 2005–2022

A researcher in the Science corpus: 9 papers; trusts 419 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 138 citations into it
• Artificial Intelligence — 85 citations into it
• Information Systems — 30 citations into it
• Model Architectures — 25 citations into it
• Representation & Self-Supervised Learning — 15 citations into it
• Global and Planetary Change — 11 citations into it
• Optimization & Training — 11 citations into it
• Recommender Systems — 11 citations into it

Whom Bin Liu trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Ross B. Girshick
5. Diederik P. Kingma
6. Karen Simonyan
7. Yoshua Bengio
8. Steffen Rendle
9. Yann LeCun
10. Shaoqing Ren

Who trusts Bin Liu overall

1. Pengyu Zhao

Papers from Bin Liu's perspective

Ordered by how strongly the researchers Bin Liu 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• GSM: Graph Similarity Model for Multi-Object Tracking (2020) — 128 citations
• The Genomes of Oryza sativa: A History of Duplications (2005) — 942 citations
• AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction (2020) — 206 citations
• Cross-Modality Person Re-Identification With Shared-Specific Feature Transfer (2020) — 349 citations
• An Edge Traffic Flow Detection Scheme Based on Deep Learning in an Intelligent Transportation System (2021) — 297 citations
• Robust Dynamic Operating Envelopes for DER Integration in Unbalanced Distribution Networks (2022) — 57 citations
• AutoGroup: Automatic Feature Grouping for Modelling Explicit High-Order Feature Interactions in CTR Prediction (2020) — 60 citations
• Deep-learning-based information mining from ocean remote-sensing imagery (2020) — 336 citations
• Memory-Based Neighbourhood Embedding for Visual Recognition (2019) — 42 citations