Yong-yu Shi

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Signal Processing — 7 citations into it
• Computer Networks and Communications — 6 citations into it
• Generative Models — 5 citations into it

Whom Yong-yu Shi trusts overall

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

1. Weiwei Hu
2. Martín Arjovsky
3. Chih-Fong Tsai
4. Soumith Chintala
5. Ying Tan

Papers from Yong-yu Shi's perspective

Ordered by how strongly the researchers Yong-yu Shi trusts endorse each paper. Same corpus, a different order for every researcher.

1. Wasserstein GAN
2. Wasserstein Generative Adversarial Networks
3. Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods
4. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
5. GENERATIVE ADVERSARIAL NETS
6. A framework for constructing features and models for intrusion detection systems (ACM Transactions on Privacy and Security)
7. PassGAN: A Deep Learning Approach for Password Guessing (International Conference on Applied Cryptography and Network Security)
8. Intrusion detection by machine learning: A review (Expert systems with applications)
9. Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN (International Conference on Data Mining and Big Data)
10. Black-Box Attacks against RNN based Malware Detection Algorithms

Their papers

• IDSGAN: Generative Adversarial Networks for Attack Generation against Intrusion Detection (2018) — 353 citations