765 citations · 988 across the 38 of their papers we have counts for
11 papers · 1 filter
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…
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms
Wayne Xin Zhao, Shanlei Mu, Yupeng Hou +16
In recent years, there are a large number of recommendation algorithms proposed in the literature, from traditional collaborative filtering to deep learning algorithms. However, th…
Lyapunov-guided Deep Reinforcement Learning for Stable Online Computation Offloading in Mobile-Edge Computing Networks
Suzhi Bi, Liang Huang, Hui Wang +1
Opportunistic computation offloading is an effective method to improve the computation performance of mobile-edge computing (MEC) networks under dynamic edge environment. In this p…
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization
Kun Zhou, Hui Wang, Wayne Xin Zhao +5
Recently, significant progress has been made in sequential recommendation with deep learning. Existing neural sequential recommendation models usually rely on the item prediction l…
Memory Efficient Class-Incremental Learning for Image Classification
Hanbin Zhao, Hui Wang, Yongjian Fu +2
With the memory-resource-limited constraints, class-incremental learning (CIL) usually suffers from the "catastrophic forgetting" problem when updating the joint classification mod…
Self-supervising Fine-grained Region Similarities for Large-scale Image Localization
Yixiao Ge, Haibo Wang, Feng Zhu +2
The task of large-scale retrieval-based image localization is to estimate the geographical location of a query image by recognizing its nearest reference images from a city-scale d…
What and Where: Learn to Plug Adapters via NAS for Multi-Domain Learning
Hanbin Zhao, Hao Zeng, Xin Qin +4
As an important and challenging problem, multi-domain learning (MDL) typically seeks for a set of effective lightweight domain-specific adapter modules plugged into a common domain…
Warm-Start AlphaZero Self-Play Search Enhancements
Hui Wang, Mike Preuss, Aske Plaat
Recently, AlphaZero has achieved landmark results in deep reinforcement learning, by providing a single self-play architecture that learned three different games at super human lev…
Tracking System for Optical Mobile Communication and the Design Rules
Kehan Zhang, Bingcheng Zhu, Zaichen Zhang +1
Free space optical communication has been applied in many scenarios because of its security, low cost and high rates. In such scenarios, a tracking system is necessary to ensure an…
Iterative Context-Aware Graph Inference for Visual Dialog
Dan Guo, Hui Wang, Hanwang Zhang +2
Visual dialog is a challenging task that requires the comprehension of the semantic dependencies among implicit visual and textual contexts. This task can refer to the relation inf…
Performance of Wireless Optical Communication With Reconfigurable Intelligent Surfaces and Random Obstacles
Haibo Wang, Zaichen Zhang, Bingcheng Zhu +5
It is difficult for free space optical communication to be applied in mobile communication due to the obstruction of obstacles in the environment, which is expected to be solved by…