Liang Xiao
Electrical and Electronic Engineering · IEEE Transactions on Wireless Communications · 2008–2020
A researcher in the Science corpus: 4 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 42 citations into it
- Computer Networks and Communications — 36 citations into it
- Artificial Intelligence — 14 citations into it
- Reinforcement Learning — 5 citations into it
Whom Liang Xiao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Murat Demirbas
- Anna L. Buczak
- Suzhi Bi
- Sinno Jialin Pan
- Yuzhe Li
- Mohammad Abu Alsheikh
- Volodymyr Mnih
- Richard S. Sutton
- Mete Ozay
- Youngwhan Song
Who trusts Liang Xiao overall
- Shalitha Wijethilaka
- Shree Krishna Sharma
- Thanh Thi Nguyen
- Ansam Khraisat
- Vikas Hassija
- Mohammed Ali Al-Garadi
- Xianbin Wang
- Vijay Janappa Reddi
- Madhusanka Liyanage
- Liang Huang
Papers from Liang Xiao's perspective
Ordered by how strongly the researchers Liang Xiao trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Human-level control through deep reinforcement learning
- Reinforcement Learning: An Introduction
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Prioritized Experience Replay
- A Survey on Transfer Learning
Their papers
- Deep Reinforcement Learning-Based Intelligent Reflecting Surface for Secure Wireless Communications (2020) — 410 citations
- Learning-Based Computation Offloading for IoT Devices With Energy Harvesting (2017) — 493 citations
- Using the physical layer for wireless authentication in time-variant channels (2008) — 393 citations
- IoT Security Techniques Based on Machine Learning: How Do IoT Devices Use AI to Enhance Security? (2018) — 628 citations