Jing Gong

bioRxiv · 2020–2023

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

Whom Jing Gong trusts overall

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

1. Marc-André Zöller

Papers from Jing Gong's perspective

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

1. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
9. Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
10. Gradient-based learning applied to document recognition

Their papers

• Improving Machine Reading Comprehension with Single-choice Decision and Transfer Learning (2020) — 11 citations
• Large Scale Foundation Model on Single-cell Transcriptomics (2023) — 584 citations