Zhaochun Ren
Artificial Intelligence · 2017–2023
A researcher in the Science corpus: 7 papers; trusts 198 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 154 citations into it; #11,884 of 35,345 by trust here, #5,317 by citations
- Information Systems — 94 citations into it; #2,657 of 8,771 by trust here, #786 by citations
- Computer Vision and Pattern Recognition — 78 citations into it
- Natural Language Processing — 71 citations into it
- Recommender Systems — 45 citations into it
- Representation & Self-Supervised Learning — 21 citations into it
- Model Architectures — 20 citations into it
- Information Retrieval & Search — 19 citations into it
Whom Zhaochun Ren trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Ruslan Salakhutdinov
- Diederik P. Kingma
- Alex Krizhevsky
- Tomas Mikolov
- Ilya Sutskever
- Kaiming He
- Richard Socher
- Yann LeCun
Who trusts Zhaochun Ren overall
- Xu Chen
- Xiangnan He
- Chong Chen
- Yongfeng Zhang
- Jingyue Gao
- Zhiyong Cheng
- Xiting Wang
- Haekyu Park
- Yujie Lin
- Xiang Wang
Papers from Zhaochun Ren's perspective
Ordered by how strongly the researchers Zhaochun 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
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent (2023) — 576 citations
- Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures (2018) — 349 citations
- Neural Attentive Session-based Recommendation (2017) — 1,622 citations
- LARA: Attribute-to-feature Adversarial Learning for New-item Recommendation (2020) — 61 citations
- Explainable Outfit Recommendation with Joint Outfit Matching and Comment Generation (2018) — 118 citations
- Social Collaborative Viewpoint Regression with Explainable Recommendations (2017) — 146 citations
- Neural Rating Regression with Abstractive Tips Generation for Recommendation (2017) — 338 citations