Ying Sheng

Artificial Intelligence · with Li · 2023–2024

A researcher in the Science corpus: 7 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 221 citations into it
• Computer Vision and Pattern Recognition — 89 citations into it
• Large Language Models — 86 citations into it
• Efficiency & Compression — 83 citations into it
• Model Architectures — 30 citations into it

Whom Ying Sheng trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Krizhevsky
4. Ilya Sutskever
5. Diederik P. Kingma
6. Elias Frantar
7. Kaiming He
8. Yann LeCun
9. Noam Shazeer
10. Jimmy Ba

Who trusts Ying Sheng overall

1. Lianmin Zheng
2. Artyom Eliseev
3. Zirui Liu
4. Zeyu Han
5. Coleman Hooper
6. Bill Yuchen Lin

Papers from Ying Sheng's perspective

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

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

Their papers

• Judging LLM-as-a-judge with MT-Bench and Chatbot Arena (2023) — 9,887 citations
• LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset (2023) — 484 citations
• Efficient Memory Management for Large Language Model Serving with PagedAttention (2023) — 7,142 citations
• High-throughput Generative Inference of Large Language Models with a Single GPU (2023) — 797 citations
• Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference (2024) — 1,398 citations
• H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models (2023) — 817 citations
• AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving