14 citations · 52 across the 13 of their papers we have counts for
7 papers · 1 filter
User Fairness Non-orthogonal Multiple Access (NOMA) for 5G Millimeter-Wave Communications with Analog Beamforming
Zhenyu Xiao, Lipeng Zhu, Zhen Gao +2
The integration of non-orthogonal multiple access in millimeter-Wave communications (mmWave-NOMA) can significantly improve the spectrum efficiency and increase the number of users…
Joint Tx-Rx Beamforming and Power Allocation for 5G Millimeter-Wave Non-Orthogonal Multiple Access (MmWave-NOMA) Networks
Lipeng Zhu, Jun Zhang, Zhenyu Xiao +3
In this paper, we investigate the combination of non-orthogonal multiple access and millimeter-Wave communications (mmWave-NOMA). A downlink cellular system is considered, where an…
Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation
Qiuyuan Huang, Zhe Gan, Asli Celikyilmaz +3
We propose a hierarchically structured reinforcement learning approach to address the challenges of planning for generating coherent multi-sentence stories for the visual storytell…
Turbo Learning for Captionbot and Drawingbot
Qiuyuan Huang, Pengchuan Zhang, Dapeng Wu +1
We study in this paper the problems of both image captioning and text-to-image generation, and present a novel turbo learning approach to jointly training an image-to-text generato…
Millimeter-Wave Propagation Modeling and Measurement
Zhijian Lin, Xiaojiang Du, Hsiao-Hwa Chen +3
Millimeter wave (mmWave) communication is one of the most promising technologies in fifth generation (5G) mobile networks due to its access to a large amount of available spectrum…
Attentive Tensor Product Learning
Qiuyuan Huang, Li Deng, Dapeng Wu +2
This paper proposes a new architecture - Attentive Tensor Product Learning (ATPL) - to represent grammatical structures in deep learning models. ATPL is a new architecture to bridg…