40 citations · 105 across the 35 of their papers we have counts for
36 papers
ContextBLIP: Doubly Contextual Alignment for Contrastive Image Retrieval from Linguistically Complex Descriptions
Honglin Lin, Siyu Li, Guoshun Nan +8
Image retrieval from contextual descriptions (IRCD) aims to identify an image within a set of minimally contrastive candidates based on linguistically complex text. Despite the suc…
Uncovering What, Why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly
Hang Du, Sicheng Zhang, Binzhu Xie +16
Video anomaly understanding (VAU) aims to automatically comprehend unusual occurrences in videos, thereby enabling various applications such as traffic surveillance and industrial…
Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks
Chenyang Qiu, Guoshun Nan, Tianyu Xiong +6
Graph convolution networks (GCNs) are extensively utilized in various graph tasks to mine knowledge from spatial data. Our study marks the pioneering attempt to quantitatively inve…
DocMSU: A Comprehensive Benchmark for Document-level Multimodal Sarcasm Understanding
Hang Du, Guoshun Nan, Sicheng Zhang +6
Multimodal Sarcasm Understanding (MSU) has a wide range of applications in the news field such as public opinion analysis and forgery detection. However, existing MSU benchmarks an…
UAV-Aided Lifelong Learning for AoI and Energy Optimization in Non-Stationary IoT Networks
Zhenzhen Gong, Omar Hashash, Yingze Wang +4
In this paper, a novel joint energy and age of information (AoI) optimization framework for IoT devices in a non-stationary environment is presented. In particular, IoT devices tha…
SemProtector: A Unified Framework for Semantic Protection in Deep Learning-based Semantic Communication Systems
Xinghan Liu, Guoshun Nan, Qimei Cui +6
Recently proliferated semantic communications (SC) aim at effectively transmitting the semantics conveyed by the source and accurately interpreting the meaning at the destination.…
Physical-layer Adversarial Robustness for Deep Learning-based Semantic Communications
Guoshun Nan, Zhichun Li, Jinli Zhai +7
End-to-end semantic communications (ESC) rely on deep neural networks (DNN) to boost communication efficiency by only transmitting the semantics of data, showing great potential fo…
Securing Semantic Communications with Physical-layer Semantic Encryption and Obfuscation
Qi Qin, Yankai Rong, Guoshun Nan +4
Deep learning based semantic communication(DLSC) systems have shown great potential of making wireless networks significantly more efficient by only transmitting the semantics of t…
Boosting Physical Layer Black-Box Attacks with Semantic Adversaries in Semantic Communications
Zeju Li, Xinghan Liu, Guoshun Nan +4
End-to-end semantic communication (ESC) system is able to improve communication efficiency by only transmitting the semantics of the input rather than raw bits. Although promising,…
Similarity-based Label Inference Attack against Training and Inference of Split Learning
Junlin Liu, Xinchen Lyu, Qimei Cui +1
Split learning is a promising paradigm for privacy-preserving distributed learning. The learning model can be cut into multiple portions to be collaboratively trained at the partic…
Lifelong Learning for Minimizing Age of Information in Internet of Things Networks
Zhenzhen Gong, Qimei Cui, Christina Chaccour +3
In this paper, a lifelong learning problem is studied for an Internet of Things (IoT) system. In the considered model, each IoT device aims to balance its information freshness and…
Event-triggered Online Proactive Network Association to Mobile Edge Computing for IoT
Jian Zhang, Qimei Cui, Xuefei Zhang +2
Ultra-low latency communication for mobile machines emerges as a critical technology in Internet of Things (IoT). Proactive network association has been suggested to support ultra-…
Game-Theoretic Optimization for Machine-Type Communications Under QoS Guarantee
Yu Gu, Qimei Cui, Qiang Ye +1
Massive machine-type communication (mMTC) is a new focus of services in fifth generation (5G) communication networks. The associated stringent delay requirement of end-to-end (E2E)…
Energy-Efficient Adaptive Transmission in Machine Type Communications with Delay-Outage Constraints
Linlin Zou, Yanzhao Hou, Xiaofeng Tao +2
In this paper, we propose a novel Adaptive Transmission Strategy to improve energy efficiency~(EE) in a wireless point-to-point transmission system with Quality of Service~(QoS) re…
Accurate Energy-Efficient Power Control for Uplink NOMA Systems under Delay Constraint
Bowen Cai, Yu Chen, Qimei Cui +2
Machine-type communications (MTC) devices in 5G will use the Non-orthogonal multiple access (NOMA) technology for massive connections. These devices switch between the transmission…
Distributed Layered Grant-Free Non-Orthogonal Multiple Access for Massive MTC
Hui Jiang, Qimei Cui, Yu Gu +3
Grant-free transmission is considered as a promising technology to support sporadic data transmission in massive machine-type communications (mMTC). Due to the distributed manner,…
Energy-Efficient Transmission of Hybrid Array with Non-Ideal Power Amplifiers and Circuitry
Yuhao Zhang, Qimei Cui, Wei Ni +1
This paper presents a new approach to efficiently maximizing the energy efficiency (EE) of hybrid arrays under a practical setting of non-ideal power amplifiers (PAs) and non-negli…
Effective Capacity Analysis in Ultra-Dense Wireless Networks with Random Interference
Yu Gu, Qimei Cui, Yu Chen +3
Ultra-dense networks (UDNs) provide a promising paradigm to cope with exponentially increasing mobile traffic. However, little work has to date considered unsaturated traffic with…
Use of Two-Mode Circuitry and Optimal Energy-Efficient Power Control Under Target Delay-Outage Constraints
Jinkun Xu, Yu Chen, Hao Chen +2
An accurate energy efficiency analytical model based on a two-mode circuitry was recently proposed; and the model showed that the use of this circuitry can significantly improve a…
User Association for Offloading in Heterogeneous Network Based on Matern Cluster Process
Yuxuan Xie, Xuefei Zhang, Qimei Cui +1
Future mobile networks are converging toward heterogeneous multi-tier networks, where various classes of base stations (BS) are deployed based on user demand. So it is quite necess…
Energy-aware Adaptive Spectrum Access and Power Allocation in LAA Networks via Lyapunov Optimization
Yu Gu, Qimei Cui, Yue Wang +1
To relieve the traffic burden and improve the system capacity, licensed-assisted access (LAA) has been becoming a promising technology to the supplementary utilization of the unlic…
Optimal Scheduling across Heterogeneous Air Interfaces of LTE/WiFi Aggregation
Yu Gu, Qimei Cui, Wei Ni +2
LTE/WiFi Aggregation (LWA) provides a promising approach to relieve data traffic congestion in licensed bands by leveraging unlicensed bands. Critical challenges arise from provisi…
Energy-efficient resource allocation for hybrid bursty services in multi-relay OFDM networks
Yuhao Zhang, Qimei Cui, Ning Wang +2
In this paper, we propose Mapped Two-way Water Filling (MTWF) scheme to maximize Energy Efficiency (EE) for hybrid bursty services with Quality of Services (QoS) requirements in Tw…
Energy Efficiency Maximization of Full-Duplex Two-Way Relay With Non-Ideal Power Amplifiers and Non-Negligible Circuit Power
Qimei Cui, Yuhao Zhang, Wei Ni +2
In this paper, we maximize the energy efficiency (EE) of full-duplex (FD) two-way relay (TWR) systems under non-ideal power amplifiers (PAs) and non-negligible transmission-depende…