Pengjie Ren
Artificial Intelligence · 2017–2023
A researcher in the Science corpus: 5 papers; trusts 149 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 127 citations into it; #22,575 of 35,345 by trust here, #9,465 by citations
- Natural Language Processing — 73 citations into it; #5,204 of 5,688 by trust here, #4,983 by citations
- Computer Vision and Pattern Recognition — 51 citations into it
- Information Systems — 46 citations into it; #6,076 of 8,771 by trust here, #1,542 by citations
- Recommender Systems — 23 citations into it
- Model Architectures — 20 citations into it
- Safety, Robustness & Interpretability — 16 citations into it
- Large Language Models — 14 citations into it
Whom Pengjie Ren trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Alex Krizhevsky
- Yann LeCun
- Ilya Sutskever
- Kaiming He
- Ruslan Salakhutdinov
- Alex Graves
- Tomas Mikolov
Who trusts Pengjie Ren overall
- Xiangnan He
- Emily Dinan
- Tianwen Chen
- Fei Sun
- Fei Mi
- Yupeng Hou
- Deng Jiawen
- Jun Xu
- Wayne Xin Zhao
- Chen Ma
Papers from Pengjie Ren's perspective
Ordered by how strongly the researchers Pengjie Ren 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)
- 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)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent (2023) — 576 citations
- Detecting and Classifying Malevolent Dialogue Responses: Taxonomy, Data and Methodology (2020) — 12 citations
- Neural Attentive Session-based Recommendation (2017) — 1,622 citations
- A taxonomy, data set, and benchmark for detecting and classifying malevolent dialogue responses (2021) — 14 citations
- Explainable Outfit Recommendation with Joint Outfit Matching and Comment Generation (2018) — 118 citations