Zubair Muhammad Fadlullah

Computer Networks and Communications · 2011–2018

A researcher in the Science corpus: 9 papers; trusts 32 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 115 citations into it; #2,632 of 9,886 by trust here, #604 by citations
• Artificial Intelligence — 76 citations into it; #11,898 of 35,345 by trust here, #5,834 by citations
• Electrical and Electronic Engineering — 47 citations into it
• Computer Vision and Pattern Recognition — 43 citations into it
• Information Systems — 29 citations into it
• Signal Processing — 23 citations into it
• Representation & Self-Supervised Learning — 15 citations into it
• Natural Language Processing — 13 citations into it

Whom Zubair Muhammad Fadlullah trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Ilya Sutskever
4. Ruslan Salakhutdinov
5. Alex Krizhevsky
6. Yann LeCun
7. Richard Socher
8. Ronan Collobert
9. Diederik P. Kingma
10. Andrew Y. Ng

Who trusts Zubair Muhammad Fadlullah overall

1. Nei Kato
2. Fengxiao Tang
3. Hongji Huang
4. Bomin Mao
5. Guan Gui
6. Ivan Stojmenovic
7. William Grant Hatcher
8. M. Bakator
9. Shree Krishna Sharma
10. Chaoyun Zhang

Papers from Zubair Muhammad Fadlullah's perspective

Ordered by how strongly the researchers Zubair Muhammad Fadlullah trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Optimizing Space-Air-Ground Integrated Networks by Artificial Intelligence (2018) — 353 citations
• Toward intelligent machine-to-machine communications in smart grid (2011) — 550 citations
• A Lightweight Message Authentication Scheme for Smart Grid Communications (2011) — 475 citations
• On Removing Routing Protocol from Future Wireless Networks: A Real-time Deep Learning Approach for Intelligent Traffic Control (2018) — 236 citations
• Space-Air-Ground Integrated Network: A Survey (2018) — 1,106 citations
• State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow’s Intelligent Network Traffic Control Systems (2017) — 729 citations
• A Survey on Network Methodologies for Real-Time Analytics of Massive IoT Data and Open Research Issues (2017) — 375 citations
• The Deep Learning Vision for Heterogeneous Network Traffic Control: Proposal, Challenges, and Future Perspective (2017) — 388 citations
• Routing or Computing? The Paradigm Shift Towards Intelligent Computer Network Packet Transmission Based on Deep Learning (2017) — 312 citations