Huan Zhao
Artificial Intelligence · with Huang · 2017–2020
A researcher in the Science corpus: 5 papers; trusts 43 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 77 citations into it; #32,920 of 35,345 by trust here, #13,544 by citations
- Information Systems — 42 citations into it
- Computer Vision and Pattern Recognition — 35 citations into it; #20,374 of 21,575 by trust here, #11,498 by citations
- Graph Learning — 22 citations into it
- Recommender Systems — 17 citations into it
- Representation & Self-Supervised Learning — 17 citations into it
- Model Architectures — 12 citations into it
- Management Science and Operations Research — 9 citations into it
Whom Huan Zhao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Steffen Rendle
- Yoshua Bengio
- Ruslan Salakhutdinov
- Barret Zoph
- Quoc V. Le
- Diederik P. Kingma
- Kaiming He
- Alex Krizhevsky
- Yehuda Koren
Who trusts Huan Zhao overall
- Hongwei Wang
- Chuan Shi
- Yuhui Ding
- Lan Wei
- Quanming Yao
- Yuhao Yang
- Shaohua Fan
- Qingyu Guo
- Huan Zhao
- Binbin Hu
Papers from Huan Zhao's perspective
Ordered by how strongly the researchers Huan Zhao 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
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Behavior sequence transformer for e-commerce recommendation in Alibaba (2019) — 507 citations
- Simplifying Architecture Search for Graph Neural Network (2020) — 59 citations
- Multi-Interest Network with Dynamic Routing for Recommendation at Tmall (2019) — 508 citations
- Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba (2018) — 569 citations
- Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks (2017) — 562 citations