Chang Wang

Artificial Intelligence · 2007–2011

A researcher in the Science corpus: 4 papers; trusts 15 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Reinforcement Learning — 5 citations into it; #1,901 of 2,242 by trust here, #2,201 by citations

Whom Chang Wang trusts overall

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

1. Jihun Ham
2. Hal Daumé Iii
3. John Blitzer
4. Andrew Barto
5. Daniel D. Lee
6. Richard S. Sutton
7. Dimitri P. Bertsekas
8. Daniel Marcu
9. Lawrence K. Saul
10. Partha Niyogi

Who trusts Chang Wang overall

1. Nicolas Courty
2. Qiang Yang
3. Basura Fernando
4. Mingsheng Long
5. Sinno Jialin Pan
6. Garrett Wilson
7. Devis Tuia
8. Rémi Flamary
9. Mei Wang
10. Aditya Mogadala

Papers from Chang Wang's perspective

Ordered by how strongly the researchers Chang Wang 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Heterogeneous Domain Adaptation Using Manifold Alignment (2011) — 457 citations
• Manifold Alignment without Correspondence (2009) — 210 citations
• Manifold alignment using Procrustes analysis (2008) — 308 citations
• Compact Spectral Bases for Value Function Approximation Using Kronecker Factorization (2007) — 16 citations