Ruichuan Chen
Artificial Intelligence · 2012–2021
A researcher in the Science corpus: 5 papers; trusts 17 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 74 citations into it; #29,538 of 35,345 by trust here, #25,809 by citations
- Privacy & Security — 34 citations into it; #570 of 709 by trust here, #512 by citations
- Computer Vision and Pattern Recognition — 25 citations into it
- Optimization & Training — 18 citations into it
- Computer Networks and Communications — 15 citations into it
- ML Systems & Hardware — 11 citations into it
- Sociology and Political Science — 11 citations into it; #18,957 of 22,756 by trust here, #18,468 by citations
- Safety, Robustness & Interpretability — 9 citations into it
Whom Ruichuan Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Cynthia Dwork
- Shafi Goldwasser
- Frank McSherry
- Silvio Micali
- Vibhor Rastogi
- Pascal Paillier
- Latanya Sweeney
- Elaine Shi
- Johannes Gehrke
- Alexandre V. Evfimievski
Who trusts Ruichuan Chen overall
- Arjun Narayan
- Fabienne Eigner
- Matteo Maffei
- Istemi Ekin Akkus
- Henry Corrigan-Gibbs
- Ú. Erlingsson
- Luca Melis
- Paul Francis
- Dan Boneh
- Antonis Papadimitriou
Papers from Ruichuan Chen's perspective
Ordered by how strongly the researchers Ruichuan Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Calibrating Noise to Sensitivity in Private Data Analysis
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Gradient-based learning applied to document recognition
- Differential Privacy
- 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)
Their papers
- Non-tracking web analytics (2012) — 71 citations
- Gradient Compression Supercharged High-Performance Data Parallel DNN Training (2021) — 60 citations
- SAND: Towards High-Performance Serverless Computing (2018) — 479 citations
- SplitX: high-performance private analytics (2013) — 63 citations
- Towards Statistical Queries over Distributed Private User Data (2012) — 130 citations