Wajih Ul Hassan

Computer Networks and Communications · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 33 citations into it
• Artificial Intelligence — 24 citations into it
• Signal Processing — 24 citations into it

Whom Wajih Ul Hassan trusts overall

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

1. Adam Bates
2. Sadegh M. Milajerdi
3. Samuel T. King
4. Hervé Debar
5. Alfonso Valdes
6. Dave (Jing) Tian
7. Ting-Li Chen
8. Guofei Gu
9. Geoffrey E. Hinton
10. Varun Chandola

Who trusts Wajih Ul Hassan overall

1. Adam Bates
2. Qi Wang

Papers from Wajih Ul Hassan's perspective

Ordered by how strongly the researchers Wajih Ul Hassan trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis (2020) — 312 citations
• Tactical Provenance Analysis for Endpoint Detection and Response Systems (2020) — 346 citations
• NoDoze: Combatting Threat Alert Fatigue with Automated Provenance Triage (2019) — 442 citations