Ziqi Liu
Artificial Intelligence · with Li · 2018–2020
A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 44 citations into it
- Graph Learning — 35 citations into it
- Representation & Self-Supervised Learning — 16 citations into it
- Computer Vision and Pattern Recognition — 14 citations into it
- Molecular Biology — 7 citations into it
- Optimization & Training — 7 citations into it
Whom Ziqi Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- William L. Hamilton
- Diederik P. Kingma
- Geoffrey E. Hinton
- Thomas Kipf
- Jimmy Ba
- Kaiming He
- Yoshua Bengio
- Max Welling
- Jure Leskovec
- Alex Krizhevsky
Who trusts Ziqi Liu overall
- Yingtong Dou
- Hongwei Wang
- Zhiwei Liu
- Huan Zhao
- Ming Chen
- Yang Gao
- Xiao Wang
- Wei-Lin Chiang
- Daixin Wang
- Jure Leskovec
Papers from Ziqi Liu's perspective
Ordered by how strongly the researchers Ziqi Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- GeniePath: Graph Neural Networks with Adaptive Receptive Paths (2018) — 350 citations
- Bandit Samplers for Training Graph Neural Networks (2020) — 54 citations
- Heterogeneous Graph Neural Networks for Malicious Account Detection (2018) — 415 citations