Liping Jing

Computer Vision and Pattern Recognition · 2007–2020

A researcher in the Science corpus: 3 papers; trusts 98 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it; #17,333 of 21,575 by trust here, #16,787 by citations
• Artificial Intelligence — 29 citations into it; #28,258 of 35,345 by trust here, #28,481 by citations
• Information Systems — 24 citations into it
• Signal Processing — 12 citations into it; #5,987 of 7,572 by trust here, #5,829 by citations
• Multimodal Learning — 6 citations into it
• Computational Mechanics — 5 citations into it

Whom Liping Jing trusts overall

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

1. Jerome H. Friedman
2. Michael S. Steinbach
3. Charu C. Aggarwal
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Lance Parsons
7. Yoshua Bengio
8. Philip S. Yu
9. Andrea Vedaldi
10. Kaiming He

Who trusts Liping Jing overall

1. Mohiuddin Ahmed
2. Raihan Seraj
3. Yongxin Wang

Papers from Liping Jing's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Robust Unsupervised Cross-modal Hashing for Multimedia Retrieval (2020) — 48 citations
• In2Rec: Influence-based Interpretable Recommendation (2019) — 11 citations
• An Entropy Weighting k-Means Algorithm for Subspace Clustering of High-Dimensional Sparse Data (2007) — 641 citations