activity
20202022
most citedS^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization

765 citations · 832 across the 11 of their papers we have counts for

collaborators

13 papers

cs.CL2022

The RoyalFlush System for the WMT 2022 Efficiency Task

Bo Qin, Aixin Jia, Qiang Wang +4

This paper describes the submission of the RoyalFlush neural machine translation system for the WMT 2022 translation efficiency task. Unlike the commonly used autoregressive transl…

eess.IV20211 cited

A Deep Variational Bayesian Framework for Blind Image Deblurring

Hui Wang, Zongsheng Yue, Qian Zhao +1

Blind image deblurring is an important yet very challenging problem in low-level vision. Traditional optimization based methods generally formulate this task as a maximum-a-posteri…

cs.CR20212 cited

Cyber Intrusion Detection by Using Deep Neural Networks with Attack-sharing Loss

Boxiang Dong, Hui, Wang +5

Cyber attacks pose crucial threats to computer system security, and put digital treasuries at excessive risks. This leads to an urgent call for an effective intrusion detection sys…

cs.CV20215 cited

Unsupervised Domain Adaptation for Image Classification via Structure-Conditioned Adversarial Learning

Hui Wang, Jian Tian, Songyuan Li +4

Unsupervised domain adaptation (UDA) typically carries out knowledge transfer from a label-rich source domain to an unlabeled target domain by adversarial learning. In principle, e…

cs.NI20212 cited

Stable Online Computation Offloading via Lyapunov-guided Deep Reinforcement Learning

Suzhi Bi, Liang Huang, Hui Wang +1

In this paper, we consider a multi-user mobile-edge computing (MEC) network with time-varying wireless channels and stochastic user task data arrivals in sequential time frames. In…

cs.NI2020

Joint Beamforming and Power Control for Throughput Maximization in IRS-assisted MISO WPCNs

Yuan Zheng, Suzhi Bi, Ying-Jun Angela Zhang +2

Intelligent reflecting surface (IRS) is an emerging technology to enhance the energy- and spectrum-efficiency of wireless powered communication networks (WPCNs). In this paper, we…