350 citations · 868 across the 59 of their papers we have counts for
13 papers · 1 filter
SIRI: Spatial Relation Induced Network For Spatial Description Resolution
Peiyao Wang, Weixin Luo, Yanyu Xu +4
Spatial Description Resolution, as a language-guided localization task, is proposed for target location in a panoramic street view, given corresponding language descriptions. Expli…
Energy-Efficient NOMA Multicasting System for 5G Cellular V2X Communications with Imperfect CSI
Asim Ihsan, Wen Chen, Shunqing Zhang +1
Vehicle-to-everything (V2X) is a modern vehicular technology that improves conventional vehicle systems in traffic and communications. V2X communications demand energyefficient and…
Finding Action Tubes with a Sparse-to-Dense Framework
Yuxi Li, Weiyao Lin, Tao Wang +5
The task of spatial-temporal action detection has attracted increasing attention among researchers. Existing dominant methods solve this problem by relying on short-term informatio…
Joint Visual and Wireless Signal Feature based Approach for High-Precision Indoor Localization
Yu Wang, Guangbing Zhou, Chenlu Xiang +2
The existing localization systems for indoor applications basically rely on wireless signal. With the massive deployment of low-cost cameras, the visual image based localization be…
CFAD: Coarse-to-Fine Action Detector for Spatiotemporal Action Localization
Yuxi Li, Weiyao Lin, John See +4
Most current pipelines for spatio-temporal action localization connect frame-wise or clip-wise detection results to generate action proposals, where only local information is explo…
High Accurate Time-of-Arrival Estimation with Fine-Grained Feature Generation for Internet-of-Things Applications
Guangjin Pan, Tao Wang, Shunqing Zhang +1
Conventional schemes often require extra reference signals or more complicated algorithms to improve the time-of-arrival (TOA) estimation accuracy. However, in this letter, we prop…
An Analytical Framework for Delay Optimal Mobile Edge Deployment in Wireless Networks
Tao Yu, Shunqing Zhang, Xiaojing Chen +1
The emerging edge caching provides an effective way to reduce service delay for mobile users. However, due to high deployment cost of edge hosts, a practical problem is how to achi…
Learning Frame Level Attention for Environmental Sound Classification
Zhichao Zhang, Shugong Xu, Shunqing Zhang +2
Environmental sound classification (ESC) is a challenging problem due to the complexity of sounds. The classification performance is heavily dependent on the effectiveness of repre…
Cooling-Aware Resource Allocation and Load Management for Mobile Edge Computing Systems
Xiaojing Chen, Zhouyu Lu, Wei Ni +4
Driven by explosive computation demands of Internet of Things (IoT), mobile edge computing (MEC) provides a promising technique to enhance the computation capability for mobile use…
6G: Connecting Everything by 1000 Times Price Reduction
Shunqing Zhang, Chenlu Xiang, Shugong Xu
The commercial deployment of 5G communication networks makes the industry and academia to seriously consider the possible solutions for the next generation. Although the convention…
Deep Reinforcement Learning-Based Beam Tracking for Low-Latency Services in Vehicular Networks
Yan Liu, Zhiyuan Jiang, Shunqing Zhang +1
Ultra-Reliable and Low-Latency Communications (URLLC) services in vehicular networks on millimeter-wave bands present a significant challenge, considering the necessity of constant…
Revealing Much While Saying Less: Predictive Wireless for Status Update
Zhiyuan Jiang, Zixu Cao, Siyu Fu +4
Wireless communications for status update are becoming increasingly important, especially for machine-type control applications. Existing work has been mainly focused on Age of Inf…
Age of Information Optimized MAC in V2X Sidelink via Piggyback-Based Collaboration
Fei Peng, Zhiyuan Jiang, Shunqing Zhang +1
Real-time status update in future vehicular networks is vital to enable control-level cooperative autonomous driving. Cellular Vehicle-to-Everything (C-V2X), as one of the most pro…