Dell Zhang
Artificial Intelligence · 2003–2018
A researcher in the Science corpus: 5 papers; trusts 62 researchers and is trusted by 29 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 66 citations into it; #6,620 of 35,345 by trust here, #11,192 by citations
- Computer Vision and Pattern Recognition — 31 citations into it; #9,233 of 21,575 by trust here, #12,419 by citations
- Reinforcement Learning — 31 citations into it
- Information Systems — 20 citations into it
- Natural Language Processing — 18 citations into it
- Information Retrieval & Search — 14 citations into it
- Algorithms & Complexity — 7 citations into it
- Evaluation & Benchmarks — 6 citations into it
Whom Dell Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yiming Yang
- Ellen M. Voorhees
- J. Ross Quinlan
- Eugene Charniak
- Ruslan Salakhutdinov
- Robert E. Schapire
- Michael Collins
- Andrew McCallum
- Bernhard Schölkopf
Who trusts Dell Zhang overall
- Alessandro Moschitti
- Jingkuan Song
- Oleksandr Kolomiyets
- Xin Li
- Danilo Croce
- Suthee Chaidaroon
- João Pedro Carlos Gomes da Silva
- Xuchen Yao
- M. A. Carreira-Perpiñán
- Stephan Bloehdorn
Papers from Dell Zhang's perspective
Ordered by how strongly the researchers Dell Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Self-taught hashing for fast similarity search (2010) — 394 citations
- Question classification using support vector machines (2003) — 695 citations
- IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models (2017) — 686 citations
- Factorized Q-learning for large-scale multi-agent systems (2018) — 75 citations
- Variant selection by dislocations during α precipitation in α/β titanium alloys (2015) — 200 citations