Guoqiang Mao
Electrical and Electronic Engineering · 2007–2019
A researcher in the Science corpus: 6 papers; trusts 78 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 126 citations into it; #7,603 of 16,539 by trust here, #8,489 by citations
- Computer Networks and Communications — 109 citations into it; #5,526 of 9,886 by trust here, #3,753 by citations
- Ocean Engineering — 37 citations into it; #1,470 of 3,193 by trust here, #1,422 by citations
- Artificial Intelligence — 29 citations into it
- Signal Processing — 26 citations into it
- Aerospace Engineering — 21 citations into it
- Computer Vision and Pattern Recognition — 11 citations into it
Whom Guoqiang Mao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Neal Patwari
- Paramvir Victor Bahl
- Yi Shang
- Lance Doherty
- Mark J. Coates
- Shotaro Akaho
- V. Padmanabhan
- Parameshwaran Krishnan
- Ralph E. Hudson
- Xiang Ji
Who trusts Guoqiang Mao overall
- Henk Wymeersch
- Melike Erol-Kantarci
- C. Laoudias
- Jaime Lien
- Hussein T. Mouftah
- Adriano J. C. Moreira
- Raghavendra V. Kulkarni
- Isaac Amundson
- Guangjie Han
Papers from Guoqiang Mao's perspective
Ordered by how strongly the researchers Guoqiang Mao trusts endorse each paper. Same corpus, a different order for every researcher.
- RADAR: an in-building RF-based user location and tracking system (Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064))
- Convex position estimation in wireless sensor networks (Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213))
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Dynamic fine-grained localization in Ad-Hoc networks of sensors (ACM/IEEE International Conference on Mobile Computing and Networking)
- GPS-less low-cost outdoor localization for very small devices (IEEE wireless communications)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
Their papers
- Wireless sensor network localization techniques (2007) — 2,008 citations
- 5G Ultra-Dense Cellular Networks (2015) — 1,036 citations
- New Multi-Hop Clustering Algorithm for Vehicular Ad Hoc Networks (2019) — 318 citations
- Direction-of-Arrival Estimation for Coprime Array via Virtual Array Interpolation (2018) — 550 citations
- Localization Algorithms and Strategies for Wireless Sensor Networks: Monitoring and Surveillance Techniques for Target Tracking (2009) — 322 citations
- Relay technologies for WiMax and LTE-advanced mobile systems (2009) — 672 citations