Wei Zhao
Artificial Intelligence · Nucleic Acids Res. · 2007–2021
A researcher in the Science corpus: 10 papers; trusts 214 researchers and is trusted by 33 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 139 citations into it; #6,763 of 35,345 by trust here, #6,378 by citations
- Natural Language Processing — 118 citations into it; #2,590 of 5,688 by trust here, #2,106 by citations
- Computer Vision and Pattern Recognition — 50 citations into it
- Evaluation & Benchmarks — 49 citations into it; #1,076 of 3,147 by trust here, #1,277 by citations
- Molecular Biology — 25 citations into it
- Representation & Self-Supervised Learning — 24 citations into it
- Model Architectures — 16 citations into it
- Information Systems — 10 citations into it; #6,460 of 8,771 by trust here, #4,341 by citations
Whom Wei Zhao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Yann LeCun
- Ilya Sutskever
- Diederik P. Kingma
- Kaiming He
- Richard Socher
- Tomas Mikolov
- Alex Graves
Who trusts Wei Zhao overall
- Pierre Colombo
- Yixin Liu
- Ananya B. Sai
- Daniel Deutsch
- Tanya Goyal
- Manik Bhandari
- Marvin Kaster
- Steffen Eger
- Thibault Sellam
- Yang Gao
Papers from Wei Zhao's perspective
Ordered by how strongly the researchers Wei Zhao trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance (2019) — 732 citations
- SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization (2020) — 142 citations
- Fast dynamic routing based on weighted kernel density estimation (2018) — 67 citations
- Personalized Response Generation via Domain adaptation (2017) — 72 citations
- Investigating Capsule Networks with Dynamic Routing for Text Classification (2018) — 384 citations
- Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications (2019) — 130 citations
- Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2022 (2021) — 890 citations
- Global Explainability of BERT-Based Evaluation Metrics by Disentangling along Linguistic Factors (2021) — 32 citations
- Genome-wide analysis identifies 12 loci influencing human reproductive behavior (2016) — 129 citations
- Overview of the development of a visual based automated bio -micromanipulation system (2007) — 92 citations