Meng Shen
Artificial Intelligence · IEEE Transactions on Industrial Informatics · 2018–2021
A researcher in the Science corpus: 6 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 39 citations into it
- Computer Networks and Communications — 21 citations into it
- Privacy & Security — 9 citations into it
Whom Meng Shen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ran Canetti
- Payman Mohassel
- Marco Iansiti
- Raphael Bost
- Mihir Bellare
- Thore Graepel
- Pierre-Alain Fouque
- Yehuda Lindell
- Martín Abadi
- Martine De Cock
Who trusts Meng Shen overall
Papers from Meng Shen's perspective
Ordered by how strongly the researchers Meng Shen 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)
- Gradient-based learning applied to document recognition
- Deep Learning with Differential Privacy
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Privacy-preserving deep learning
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Security and Composition of Multiparty Cryptographic Protocols (Journal of Cryptology)
- How to share a secret
Their papers
- Accurate Decentralized Application Identification via Encrypted Traffic Analysis Using Graph Neural Networks (2021) — 325 citations
- Secure SVM Training Over Vertically-Partitioned Datasets Using Consortium Blockchain for Vehicular Social Networks (2020) — 71 citations
- Blockchain-Assisted Secure Device Authentication for Cross-Domain Industrial IoT (2020) — 327 citations
- Privacy-Preserving Energy Trading Using Consortium Blockchain in Smart Grid (2019) — 474 citations
- Privacy-Preserving Support Vector Machine Training Over Blockchain-Based Encrypted IoT Data in Smart Cities (2019) — 359 citations
- Blockchain-Based Data Preservation System for Medical Data (2018) — 300 citations