Meixia Tao
Computer Networks and Communications · 2012–2017
A researcher in the Science corpus: 4 papers; trusts 9 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 29 citations into it
- Electrical and Electronic Engineering — 26 citations into it; #3,741 of 16,539 by trust here, #9,631 by citations
Whom Meixia Tao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thomas Lipp
- E.J. Candes
- Yuanming Shi
- Eleftherios Karipidis
- Stephen P. Boyd
- N. Sidiropoulos
- Sergiy A. Vorobyov
- Zhi-Quan Tom Luo
- Negin Golrezaei
- Michael B. Wakin
Who trusts Meixia Tao overall
Papers from Meixia Tao's perspective
Ordered by how strongly the researchers Meixia Tao trusts endorse each paper. Same corpus, a different order for every researcher.
- Enhancing Sparsity by Reweighted ℓ1 Minimization
- Transmit beamforming for physical-layer multicasting (IEEE Transactions on Signal Processing)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- The Concave-Convex Procedure
- What Will 5G Be?
- FemtoCaching: Wireless Content Delivery Through Distributed Caching Helpers (IEEE Transactions on Information Theory)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Multi-Cell MIMO Cooperative Networks: A New Look at Interference (IEEE Journal on Selected Areas in Communications)
- On the Convergence of the Concave-Convex Procedure (Neural Information Processing Systems)
Their papers
- Robust Beamforming for Wireless Information and Power Transmission (2012) — 369 citations
- Resource Allocation in Spectrum-Sharing OFDMA Femtocells With Heterogeneous Services (2014) — 391 citations
- Design of Contract-Based Trading Mechanism for a Small-Cell Caching System (2017) — 69 citations
- Content-Centric Sparse Multicast Beamforming for Cache-Enabled Cloud RAN (2015) — 459 citations