Chen-Feng Liu
Electrical and Electronic Engineering · 2017–2019
A researcher in the Science corpus: 6 papers; trusts 21 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 61 citations into it; #2,704 of 16,539 by trust here, #7,892 by citations
- Computer Networks and Communications — 56 citations into it; #5,764 of 9,886 by trust here, #4,277 by citations
- Artificial Intelligence — 17 citations into it
- ML Systems & Hardware — 8 citations into it
- Finance — 7 citations into it
- Automotive Engineering — 5 citations into it; #2,617 of 3,081 by trust here, #2,685 by citations
Whom Chen-Feng Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Medhi Bennis
- Ulrike von Luxburg
- Stuart Coles
- Yuyi Mao
- Laurens de Haan
- Walid Saad
- Yury Polyanskiy
- Merouane Debbah
- Jihong Park
- Senior Member
Who trusts Chen-Feng Liu overall
- Medhi Bennis
- Sumudu Samarakoon
- Mohamed K. Abdel-Aziz
- Umair Yaqub
- Walid Saad
- Merouane Debbah
- Mohammed S. Elbamby
- Khaled Ben Letaief
- Jihong Park
- H. Hua
Papers from Chen-Feng Liu's perspective
Ordered by how strongly the researchers Chen-Feng Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- What Will 5G Be?
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- An Introduction to Statistical Modeling of Extreme Values
- Adaptive Federated Learning in Resource Constrained Edge Computing Systems
- Gradient-based learning applied to document recognition
- Fog and IoT: An Overview of Research Opportunities
Their papers
- Ultra-Reliable and Low-Latency Vehicular Transmission: An Extreme Value Theory Approach (2018) — 71 citations
- Towards low-latency and ultra-reliable vehicle-to-vehicle communication (2017) — 72 citations
- Latency and Reliability-Aware Task Offloading and Resource Allocation for Mobile Edge Computing (2017) — 188 citations
- Ultra-Reliable Low-Latency Vehicular Networks: Taming the Age of Information Tail (2018) — 57 citations
- Dynamic Task Offloading and Resource Allocation for Ultra-Reliable Low-Latency Edge Computing (2018) — 368 citations
- Wireless Edge Computing With Latency and Reliability Guarantees (2019) — 149 citations