most citedNeural Topic Modeling with Bidirectional Adversarial Training

6 citations · 13 across the 6 of their papers we have counts for

collaborators

8 papers

cs.IT20201 cited

Optimal Wireless Streaming of Multi-Quality 360 VR Video by Exploiting Natural, Relative Smoothness-enabled and Transcoding-enabled Multicast Opportunities

Kaixuan Long, Ying Cui, Chencheng Ye +1

In this paper, we would like to investigate optimal wireless streaming of a multi-quality tiled 360 virtual reality (VR) video from a server to multiple users. To this end, we prop…

cs.CL20206 cited

Neural Topic Modeling with Bidirectional Adversarial Training

Rui Wang, Xuemeng Hu, Deyu Zhou +4

Recent years have witnessed a surge of interests of using neural topic models for automatic topic extraction from text, since they avoid the complicated mathematical derivations fo…

cs.IT20205 cited

Rate Splitting for Multi-Antenna Downlink: Precoder Design and Practical Implementation

Zheng Li, Chencheng Ye, Ying Cui +2

Rate splitting (RS) is a potentially powerful and flexible technique for multi-antenna downlink transmission. In this paper, we address several technical challenges towards its pra…

cs.IT2020

Analysis and Optimization of an Intelligent Reflecting Surface-assisted System with Interference

Yuhang Jia, Chencheng Ye, Ying Cui

In this paper, we study an intelligent reflecting surface (IRS)-assisted system where a multi-antenna base station (BS) serves a single-antenna user with the help of a multi-elemen…

cs.IT2020

Optimal Transmission of Multi-Quality Tiled 360 VR Video by Exploiting Multicast Opportunities

Kaixuan Long, Ying Cui, Chencheng Ye +1

In this paper, we would like to investigate fundamental impacts of multicast opportunities on efficient transmission of a 360 VR video to multiple users in the cases with and witho…

cs.IT2019

Stochastic Successive Convex Approximation for General Stochastic Optimization Problems

Chencheng Ye, Ying Cui

One key challenge for solving a general stochastic optimization problem with expectations in the objective and constraint functions using ordinary stochastic iterative methods lies…