Shaoan Xie
Artificial Intelligence · 2017–2022
A researcher in the Science corpus: 5 papers; trusts 126 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 79 citations into it
- Information Systems — 58 citations into it; #7,798 of 8,771 by trust here, #627 by citations
- Computer Vision and Pattern Recognition — 55 citations into it
- Generative Models — 21 citations into it
- Representation & Self-Supervised Learning — 21 citations into it; #2,320 of 3,145 by trust here, #1,982 by citations
- Computer Networks and Communications — 20 citations into it; #9,048 of 9,886 by trust here, #731 by citations
- Privacy & Security — 7 citations into it
- Statistical and Nonlinear Physics — 7 citations into it
Whom Shaoan Xie trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yann LeCun
- Yoshua Bengio
- Jonathan Ho
- Ilya Sutskever
- Diederik P. Kingma
- Mingsheng Long
- Kaiming He
- Kuniaki Saito
Who trusts Shaoan Xie overall
- Umberto Michieli
- Hyeonseob Nam
- Marco Toldo
- Qiming Zhang
- Zhijie Deng
- Pietro Zanuttigh
- Chaoqi Chen
- Xu Yang
- Jaemin Na
- Yabin Zhang
Papers from Shaoan Xie's perspective
Ordered by how strongly the researchers Shaoan Xie 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)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- GENERATIVE ADVERSARIAL NETS
Their papers
- SmartBrush: Text and Shape Guided Object Inpainting with Diffusion Model (2022) — 379 citations
- An Overview on Smart Contracts: Challenges, Advances and Platforms (2019) — 979 citations
- Learning Semantic Representations for Unsupervised Domain Adaptation (2018) — 535 citations
- Blockchain challenges and opportunities: a survey (2018) — 3,354 citations
- An Overview of Blockchain Technology: Architecture, Consensus, and Future Trends (2017) — 3,510 citations