Shizhu He
Artificial Intelligence · 2015–2023
A researcher in the Science corpus: 10 papers; trusts 185 researchers and is trusted by 31 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 229 citations into it; #6,546 of 35,345 by trust here, #4,466 by citations
- Natural Language Processing — 133 citations into it
- Computer Vision and Pattern Recognition — 60 citations into it; #12,102 of 21,575 by trust here, #7,584 by citations
- Representation & Self-Supervised Learning — 52 citations into it
- Large Language Models — 47 citations into it
- Graph Learning — 26 citations into it; #406 of 693 by trust here, #279 by citations
- Model Architectures — 17 citations into it
- Optimization & Training — 16 citations into it
Whom Shizhu He trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Antoine Bordes
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Tomas Mikolov
- Jason Aaron Edward Weston
- Richard Socher
- Diederik P. Kingma
- Alex Krizhevsky
- Yann LeCun
Who trusts Shizhu He overall
- Aleksandar Bojchevski
- Han Xiao
- Liang Yao
- Minlie Huang
- Stephan Günnemann
- Cheng Guo
- Xu Han
- Guoliang Ji
- Avishek Joey Bose
- Bassem Makni
Papers from Shizhu He's perspective
Ordered by how strongly the researchers Shizhu He 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
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Knowledge Graph Embedding via Dynamic Mapping Matrix (2015) — 1,714 citations
- Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism (2018) — 476 citations
- An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge (2017) — 370 citations
- Learning to Represent Knowledge Graphs with Gaussian Embedding (2015) — 431 citations
- A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development (2023) — 1,248 citations
- Large Language Models are Better Reasoners with Self-Verification (2022) — 424 citations
- Lifelong Intent Detection via Multi-Strategy Rebalancing (2021) — 17 citations
- Distant Supervision for Relation Extraction with Sentence-Level Attention and Entity Descriptions (2017) — 386 citations
- Knowledge Graph Completion with Adaptive Sparse Transfer Matrix (2016) — 467 citations
- How to Generate a Good Word Embedding (2015) — 368 citations