Guoliang Xue
Computer Networks and Communications · IEEE Communications Surveys and Tutorials · 2003–2017
A researcher in the Science corpus: 9 papers; trusts 64 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 110 citations into it; #4,167 of 9,886 by trust here, #3,318 by citations
- Electrical and Electronic Engineering — 93 citations into it; #11,880 of 16,539 by trust here, #11,977 by citations
- Control and Systems Engineering — 28 citations into it
- Artificial Intelligence — 21 citations into it
- Computer Vision and Pattern Recognition — 20 citations into it
- Computer Science Applications — 18 citations into it; #1,535 of 1,855 by trust here, #991 by citations
- Management Science and Operations Research — 13 citations into it; #10,656 of 11,946 by trust here, #5,787 by citations
- Transportation — 13 citations into it
Whom Guoliang Xue trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Roger B. Myerson
- Ashish Raniwala
- Yaron Singer
- Deborah Estrin
- Martin A. Dufwenberg
- Chieh-Yih Wan
- Prashanth Mohan
- Pradeep Kyasanur
- Andreas Savvides
- John S. Heidemann
Who trusts Guoliang Xue overall
- Iordanis Koutsopoulos
- Guowang Miao
- Shengdong Xie
- Ian F. Akyildiz
- Anand Prabhu Subramanian
- Mohamed F. Younis
Papers from Guoliang Xue's perspective
Ordered by how strongly the researchers Guoliang Xue trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Directed diffusion: a scalable and robust communication paradigm for sensor networks (ACM/IEEE International Conference on Mobile Computing and Networking)
- Next century challenges: scalable coordination in sensor networks
- An energy-efficient MAC protocol for wireless sensor networks (Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- A transmission control scheme for media access in sensor networks (ACM/IEEE International Conference on Mobile Computing and Networking)
- ImageNet classification with deep convolutional neural networks
- Learning Deep Architectures for AI
- System architecture directions for networked sensors (SIGP)
- Energy-efficient communication protocol for wireless microsensor networks (Proceedings of the Annual Hawaii International Conference on System Sciences)
Their papers
- Crowdsourcing to smartphones: incentive mechanism design for mobile phone sensing (2012) — 1,031 citations
- TPS: a time-based positioning scheme for outdoor wireless sensor networks (2004) — 362 citations
- Aggregation tree construction in sensor networks (2003) — 307 citations
- Incentive Mechanisms for Crowdsensing: Crowdsourcing With Smartphones (2016) — 404 citations
- Spatiotemporal modeling and prediction in cellular networks: A big data enabled deep learning approach (2017) — 353 citations
- Smart Grid — The New and Improved Power Grid: A Survey (2012) — 355 citations
- Relay Node Placement in Wireless Sensor Networks (2011) — 431 citations
- A survey of multimedia streaming in wireless sensor networks (2008) — 435 citations
- Interference-aware topology control and QoS routing in multi-channel wireless mesh networks (2005) — 585 citations