Xiaoming Shi

Artificial Intelligence · 2023–2024

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 59 citations into it
• Signal Processing — 52 citations into it
• Model Architectures — 19 citations into it
• Hardware and Architecture — 5 citations into it

Whom Xiaoming Shi trusts overall

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

1. Noam Shazeer
2. Ashish Vaswani
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Diederik P. Kingma
6. Haixu Wu
7. Biao Zhang
8. Alex Krizhevsky
9. Ilya Sutskever
10. Kaiming He

Papers from Xiaoming Shi's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Long Short-Term Memory
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Learning Multiple Layers of Features from Tiny Images

Their papers

• TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting (2024) — 722 citations
• Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts (2024) — 314 citations
• Time-LLM: Time Series Forecasting by Reprogramming Large Language Models (2023) — 1,070 citations