Hantian Ding

Molecular Biology · 2020–2024

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 52 citations into it
• Computational Biology & Bioinformatics — 28 citations into it

Whom Hantian Ding trusts overall

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

1. Kevin Kaichuang Yang
2. Frances H. Arnold
3. Tunca Dogan
4. Zachary Wu
5. Adam J. Riesselman

Papers from Hantian Ding's perspective

Ordered by how strongly the researchers Hantian Ding trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Dropout: a simple way to prevent neural networks from overfitting
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. ImageNet classification with deep convolutional neural networks
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. WordNet: A Lexical Database for English
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Multi-lingual Evaluation of Code Generation Models (2022) — 247 citations
• Code Representation Learning At Scale (2024)
• Evolutionary context-integrated deep sequence modeling for protein engineering (2020) — 12 citations