Chenwei Zhang

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 8 papers; trusts 145 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 97 citations into it; #29,147 of 35,345 by trust here, #15,866 by citations
• Computer Vision and Pattern Recognition — 41 citations into it; #18,009 of 21,575 by trust here, #12,689 by citations
• Natural Language Processing — 39 citations into it
• Representation & Self-Supervised Learning — 30 citations into it
• Model Architectures — 20 citations into it
• Optimization & Training — 12 citations into it
• Meta & Continual Learning — 9 citations into it
• Information Systems — 8 citations into it

Whom Chenwei Zhang trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Alex Krizhevsky
4. Jimmy Ba
5. Yoshua Bengio
6. Ilya Sutskever
7. Yann LeCun
8. Sepp Hochreiter
9. J. Urgen Schmidhuber
10. Oriol Vinyals

Who trusts Chenwei Zhang overall

1. Subendhu Rongali
2. Congying Xia
3. Wenpeng Yin
4. Georgios K. Papageorgiou
5. Luca Soldaini

Papers from Chenwei Zhang's perspective

Ordered by how strongly the researchers Chenwei 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. 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection (2020) — 48 citations
• Semantic Matching and Aggregation Network for Few-shot Intent Detection (2020) — 29 citations
• Semi-supervised Relation Extraction via Incremental Meta Self-Training (2020) — 89 citations
• Zero-shot User Intent Detection via Capsule Neural Networks (2018) — 224 citations
• Generative Discovery of Relational Medical Entity Pairs (2018)
• Deep Co-Investment Network Learning for Financial Assets (2018) — 6 citations
• Joint Slot Filling and Intent Detection via Capsule Neural Networks (2018) — 253 citations
• Direction-of-Arrival Estimation Based on Deep Neural Networks With Robustness to Array Imperfections (2018) — 482 citations