35 citations · 61 across the 10 of their papers we have counts for
6 papers · 1 filter
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction
Xili Dai, Shengbang Tong, Mingyang Li +8
This work proposes a new computational framework for learning a structured generative model for real-world datasets. In particular, we propose to learn a closed-loop transcription…
Location Information Assisted Beamforming Design for Reconfigurable Intelligent Surface Aided Communication Systems
Zhe Xing, Rui Wang, Xiaojun Yuan +1
In reconfigurable intelligent surface (RIS) aided millimeter-wave (mmWave) communication systems, in order to overcome the limitation of the conventional channel state information…
Reconfigurable Intelligent Surface Empowered Over-the-Air Federated Edge Learning
Hang Liu, Zehong Lin, Xiaojun Yuan +1
Federated edge learning (FEEL) has emerged as a revolutionary paradigm to develop AI services at the edge of 6G wireless networks as it supports collaborative model training at a m…
Frequency Reflection Modulation for Reconfigurable Intelligent Surface Aided OFDM Systems
Wenjing Yan, Xiaojun Yuan, Xuanyu Cao
Reconfigurable intelligent surface (RIS) based reflection modulation has been considered as a promising information delivery mechanism, and has the potential to realize passive inf…
Fully Convolutional Line Parsing
Xili Dai, Haigang Gong, Shuai Wu +2
We present a one-stage Fully Convolutional Line Parsing network (F-Clip) that detects line segments from images. The proposed network is very simple and flexible with variations th…
Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image
Cheng Yang, Jia Zheng, Xili Dai +3
Single-image room layout reconstruction aims to reconstruct the enclosed 3D structure of a room from a single image. Most previous work relies on the cuboid-shape prior. This paper…