Zhengran Zeng

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 66 citations into it
• Natural Language Processing — 30 citations into it
• Evaluation & Benchmarks — 18 citations into it
• Information Systems — 15 citations into it
• Reinforcement Learning — 8 citations into it

Whom Zhengran Zeng trusts overall

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

1. Chin-Yew Lin
2. Stephen W. Carden
3. Mohit Sewak
4. Nick Craswell
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Xing Hu
8. Diederik P. Kingma
9. Dana Movshovitz-Attias
10. John C. Duchi

Papers from Zhengran Zeng's perspective

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

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

Their papers

• PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization (2023) — 400 citations
• TranS^3: A Transformer-based Framework for Unifying Code Summarization and Code Search (2020) — 40 citations