Changqing Zhang

Computer Vision and Pattern Recognition · 2015–2022

A researcher in the Science corpus: 9 papers; trusts 415 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 135 citations into it; #8,106 of 21,575 by trust here, #7,750 by citations
• Artificial Intelligence — 102 citations into it
• Computational Mechanics — 40 citations into it
• Representation & Self-Supervised Learning — 32 citations into it
• Signal Processing — 27 citations into it
• Media Technology — 18 citations into it
• Probabilistic & Bayesian Methods — 16 citations into it
• Multimodal Learning — 13 citations into it

Whom Changqing Zhang trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Diederik P. Kingma
4. Zhouchen Lin
5. Guangcan Liu
6. Karen Simonyan
7. Kaiming He
8. Radford M. Neal
9. Abhishek Kumar
10. Virginia de Sa

Who trusts Changqing Zhang overall

1. Jianlong Wu
2. Huan Fu
3. Kun Zhan
4. Shirui Luo
5. Siwei Wang
6. Yuan Xie
7. Mouxing Yang
8. Zhouchen Lin
9. Qinghua Hu
10. Jie Wen

Papers from Changqing Zhang's perspective

Ordered by how strongly the researchers Changqing Zhang 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. Going deeper with convolutions

Their papers

• Low-Rank Tensor Constrained Multiview Subspace Clustering (2015) — 487 citations
• Diversity-induced Multi-view Subspace Clustering (2015) — 690 citations
• Trusted Multi-View Classification With Dynamic Evidential Fusion (2022) — 474 citations
• Generalized Latent Multi-View Subspace Clustering (2020) — 650 citations
• Deep Partial Multi-View Learning (2020) — 315 citations
• Graph Learning for Multiview Clustering (2018) — 429 citations
• Disc-Aware Ensemble Network for Glaucoma Screening From Fundus Image (2018) — 404 citations
• Consistent and Specific Multi-View Subspace Clustering (2018) — 439 citations
• Latent Multi-view Subspace Clustering (2017) — 485 citations