40 citations · 278 across the 25 of their papers we have counts for
8 papers · 1 filter
Energy Efficient Massive MIMO through Distributed Precoder Design
Shuai Zhang, Lu Liu, Yu Cheng +4
This paper presents an energy-efficient downlink precoding scheme with the objective of maximizing system energy efficiency in a multi-cell massive MIMO system. The proposed precod…
Sequential Attention GAN for Interactive Image Editing
Yu Cheng, Zhe Gan, Yitong Li +2
Most existing text-to-image synthesis tasks are static single-turn generation, based on pre-defined textual descriptions of images. To explore more practical and interactive real-l…
StoryGAN: A Sequential Conditional GAN for Story Visualization
Yitong Li, Zhe Gan, Yelong Shen +6
We propose a new task, called Story Visualization. Given a multi-sentence paragraph, the story is visualized by generating a sequence of images, one for each sentence. In contrast…
Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling
Haoran You, Yu Cheng, Tianheng Cheng +2
Recent techniques built on Generative Adversarial Networks (GANs), such as Cycle-Consistent GANs, are able to learn mappings among different domains built from unpaired datasets, t…
Spatial-Temporal Synergic Residual Learning for Video Person Re-Identification
Xinxing Su, Yingtian Zou, Yu Cheng +3
We tackle the problem of person re-identification in video setting in this paper, which has been viewed as a crucial task in many applications. Meanwhile, it is very challenging si…
Diverse Few-Shot Text Classification with Multiple Metrics
Mo Yu, Xiaoxiao Guo, Jinfeng Yi +6
We study few-shot learning in natural language domains. Compared to many existing works that apply either metric-based or optimization-based meta-learning to image domain with low…