Joy Ying Zhang

Signal Processing · 2012–2014

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 20 citations into it

Whom Joy Ying Zhang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Adrienne Porter Felt

Papers from Joy Ying Zhang's perspective

Ordered by how strongly the researchers Joy Ying Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. This PDF file includes: Materials and Methods
4. A Fast Learning Algorithm for Deep Belief Nets
5. Learning Deep Architectures for AI
6. On the importance of initialization and momentum in deep learning
7. Object recognition from local scale-invariant features
8. On lightweight mobile phone application certification (Conference on Computer and Communications Security)
9. Fast dropout training
10. PiOS: Detecting Privacy Leaks in iOS Applications (Network and Distributed System Security Symposium)

Their papers

• Convolutional Neural Networks for human activity recognition using mobile sensors (2014) — 898 citations
• Expectation and purpose: understanding users' mental models of mobile app privacy through crowdsourcing (2012) — 559 citations
• ACCessory: password inference using accelerometers on smartphones (2012) — 423 citations