Qiquan Zhang
Artificial Intelligence · 2020–2022
A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 39 citations into it
- Natural Language Processing — 29 citations into it
- Evaluation & Benchmarks — 23 citations into it
- Signal Processing — 19 citations into it
- Computational Mechanics — 9 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
- Cognitive Neuroscience — 7 citations into it
Whom Qiquan Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rainer Martin
- Israel Cohen
- Jimmy Ba
- Diederik P. Kingma
- Geoffrey E. Hinton
- Cees H. Taal
- Vinod Nair
- Richard Christian Hendriks
- Timo Gerkmann
- Sundarrajan Rangachari
Who trusts Qiquan Zhang overall
Papers from Qiquan Zhang's perspective
Ordered by how strongly the researchers Qiquan Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- FineD-Eval: Fine-grained Automatic Dialogue-Level Evaluation (2022) — 24 citations
- DeepMMSE: A Deep Learning Approach to MMSE-Based Noise Power Spectral Density Estimation (2020) — 131 citations