Qipeng Guo
Artificial Intelligence · 2019–2024
A researcher in the Science corpus: 8 papers; trusts 177 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 193 citations into it; #23,635 of 35,345 by trust here, #6,193 by citations
- Natural Language Processing — 148 citations into it
- Computer Vision and Pattern Recognition — 46 citations into it
- Model Architectures — 44 citations into it
- Representation & Self-Supervised Learning — 31 citations into it
- Large Language Models — 24 citations into it
- Evaluation & Benchmarks — 21 citations into it
- Management Science and Operations Research — 12 citations into it
Whom Qipeng Guo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Richard Socher
- Jimmy Ba
- Ilya Sutskever
- Alex Krizhevsky
- Christopher D. Manning
- Yann LeCun
- Alex Graves
Who trusts Qipeng Guo overall
- Yi Tay
- J. Ainslie
- Luca Soldaini
- Chulhee Yun
- Xipeng Qiu
- Hang Yan
- Tianyang Lin
- Jiezhong Qiu
- Linyang Li
- Dara Bahri
Papers from Qipeng Guo's perspective
Ordered by how strongly the researchers Qipeng Guo 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
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs (2019) — 884 citations
- Star-Transformer (2019) — 292 citations
- BERT-ATTACK: Adversarial Attack against BERT Using BERT (2020) — 900 citations
- CoLAKE: Contextualized Language and Knowledge Embedding (2020) — 223 citations
- Joint Parsing and Generation for Abstractive Summarization (2019) — 30 citations
- BP-Transformer: Modelling Long-Range Context via Binary Partitioning (2019) — 85 citations
- InternLM2 Technical Report (2024) — 416 citations
- A Unified Generative Framework for Various NER Subtasks (2021) — 366 citations