Tianrui Li

Artificial Intelligence · 2015–2023

A researcher in the Science corpus: 9 papers; trusts 314 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 118 citations into it
• Computer Vision and Pattern Recognition — 118 citations into it
• Multimodal Learning — 52 citations into it
• Management Science and Operations Research — 38 citations into it
• Model Architectures — 36 citations into it
• Natural Language Processing — 36 citations into it
• Signal Processing — 36 citations into it
• Building and Construction — 26 citations into it

Whom Tianrui Li trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Diederik P. Kingma
4. Ilya Sutskever
5. Alex Graves
6. Kaiming He
7. Yoshua Bengio
8. J. Urgen Schmidhuber
9. Yann LeCun
10. Yu Zheng

Who trusts Tianrui Li overall

1. Yu Zheng

Papers from Tianrui Li's perspective

Ordered by how strongly the researchers Tianrui Li 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• UniViLM: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation (2020) — 412 citations
• CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval (2021) — 1,161 citations
• Long sequence time-series forecasting with deep learning: A survey (2023) — 322 citations
• Multivariate time series forecasting via attention-based encoder-decoder framework (2020) — 412 citations
• Deep Air Quality Forecasting Using Hybrid Deep Learning Framework (2018) — 423 citations
• Deep Distributed Fusion Network for Air Quality Prediction (2018) — 328 citations
• Predicting Citywide Crowd Flows Using Deep Spatio-Temporal Residual Networks (2017) — 492 citations
• ST-MVL: Filling Missing Values in Geo-Sensory Time Series Data (2016) — 214 citations
• Forecasting Fine-Grained Air Quality Based on Big Data (2015) — 519 citations