Xin Liu

Representation & Self-Supervised Learning · with Gong · 2001–2003

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 74 researchers here, as inferred from the citation graph.

Subfields

• Representation & Self-Supervised Learning — 5 citations into it

Whom Xin Liu trusts overall

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

1. Daniel D. Lee
2. Jianbo Shi
3. Hongyuan Zha

Who trusts Xin Liu overall

1. Deng Cai
2. Xiaofei He
3. Xianchao Zhang
4. Chris H. Q. Ding
5. Xiaotong Zhang
6. Edo Collins
7. Ju-hong Lee
8. Charu C. Aggarwal
9. John F. Canny
10. Jiawei Han

Papers from Xin Liu's perspective

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

1. Normalized cuts and image segmentation
2. Learning the parts of objects by non-negative matrix factorization
3. Spectral Relaxation for K-means Clustering (Neural Information Processing Systems)
4. Algorithms for Non-negative Matrix Factorization
5. A min-max cut algorithm for graph partitioning and data clustering (Proceedings 2001 IEEE International Conference on Data Mining)
6. Numerical recipes in C++: The art of scientific computing
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Going deeper with convolutions
9. ImageNet classification with deep convolutional neural networks
10. Gradient-based learning applied to document recognition

Their papers

• Document clustering based on non-negative matrix factorization (2003) — 2,153 citations
• Generic text summarization using relevance measure and latent semantic analysis (2001) — 963 citations