Guoliang Li
Artificial Intelligence · SIGMOD Conference · 2008–2021
A researcher in the Science corpus: 6 papers; trusts 64 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 66 citations into it
- Signal Processing — 50 citations into it
- Transportation — 33 citations into it
- Computer Science Applications — 32 citations into it
- Computer Networks and Communications — 31 citations into it
- Management Science and Operations Research — 30 citations into it
- Building and Construction — 29 citations into it
- Information Systems — 25 citations into it
Whom Guoliang Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Yu Zheng
- Geoffrey E. Hinton
- Judea Pearl
- Adam Marcus
- Kaiming He
- Vagelis Hristidis
- Ilya Sutskever
- Qiang Liu
- Radford M. Neal
Who trusts Guoliang Li overall
Papers from Guoliang Li's perspective
Ordered by how strongly the researchers Guoliang Li trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Interactive and Deterministic Data Cleaning (2016) — 80 citations
- Truth Inference in Crowdsourcing: Is the Problem Solved? (2017) — 478 citations
- A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation (2021) — 372 citations
- An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning (2019) — 372 citations
- Crowdsourced Data Management: A Survey (2016) — 303 citations
- EASE: an effective 3-in-1 keyword search method for unstructured, semi-structured and structured data (2008) — 449 citations