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- short-paperJune 2024
WiP: Efficient LLM Prefilling with Mobile NPU
EdgeFM '24: Proceedings of the Workshop on Edge and Mobile Foundation ModelsJune 2024, Pages 33–35https://doi.org/10.1145/3662006.3662066Large language models (LLMs) play a crucial role in various Natural Language Processing (NLP) tasks, prompting their deployment on mobile devices for inference. However, a significant challenge arises due to high waiting latency, especially for long ...
- review-articleFebruary 2024
Multi-Time Scale Aware Host Task Preferred Learning for WEEE return prediction
Expert Systems with Applications: An International Journal (EXWA), Volume 238, Issue PEMar 2024https://doi.org/10.1016/j.eswa.2023.122160AbstractRecently, with the improvement of per-capita income, the number of waste electronic and electrical equipment (WEEE) has increased significantly. The WEEE return prediction is an essential part of reverse logistics (RL) due to its helpfulness in ...
Highlights- The relationships among various types of WEEE are used for RL return prediction.
- Multi-time scale features and multi-task common features are extracted collaboratively.
- Polling host-task learning strategy is proposed to achieve ...
- research-articleDecember 2023
A multi-constraint transfer approach with additional auxiliary domains for IoT intrusion detection under unbalanced samples distribution
Applied Intelligence (KLU-APIN), Volume 54, Issue 1Jan 2024, Pages 1179–1217https://doi.org/10.1007/s10489-023-05176-1AbstractThe Internet of Things (IoT) refers to a vast and interconnected network comprising smart objects with comprehensive capabilities. Unfortunately, the vulnerabilities of IoT device awareness layer nodes are vulnerable to network intrusion. ...
- review-articleOctober 2023
The quantum internet: A synergy of quantum information technologies and 6G networks
- Georgi Gary Rozenman,
- Neel Kanth Kundu,
- Ruiqi Liu,
- Leyi Zhang,
- Alona Maslennikov,
- Yuval Reches,
- Heung Youl Youm
IET Quantum Communication (QTC2), Volume 4, Issue 4December 2023, Pages 147–166https://doi.org/10.1049/qtc2.12069AbstractThe quantum internet is a cutting‐edge paradigm that uses the unique characteristics of quantum technology to radically alter communication networks. This new network type is expected to collaborate with 6G networks, creating a synergy that will ...
This review paper includes a comprehensive overview of the recently established quantum internet and 6G technologies, as well as a comprehensive introduction to the fundamental principles in these domains. image image
- opinionOctober 2023
Beginning of the Journey Toward 6G: Vision and Framework
IEEE Communications Magazine (COMAG), Volume 61, Issue 10October 2023, Pages 8–9https://doi.org/10.1109/MCOM.2023.10298069The sixth generation (6G) mobile telecommunication will become a reality around 2030. Several research initiatives have started preliminary and conceptual work worldwide. Similarly to previous mobile communication generations, the Radiocommunication ...
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- research-articleSeptember 2023
An unsupervised domain adaptation approach with enhanced transferability and discriminability for bearing fault diagnosis under few-shot samples
Expert Systems with Applications: An International Journal (EXWA), Volume 225, Issue CSep 2023https://doi.org/10.1016/j.eswa.2023.120084AbstractAs a key component widely used in electric multiple units (EMU), fault diagnosis of EMU bearing is an important link. Typically, labeled data from different conditions provides the most usable domain knowledge. However, many devices face the ...
- research-articleJuly 2023
Distributed adaptive nearest neighbor classifier: algorithm and theory
Statistics and Computing (KLU-STCO), Volume 33, Issue 5Oct 2023https://doi.org/10.1007/s11222-023-10267-7AbstractWhen data is of an extraordinarily large size or physically stored in different locations, the distributed nearest neighbor (NN) classifier is an attractive tool for classification. We propose a novel distributed adaptive NN classifier for which ...
- research-articleJune 2023
Deep feature screening: Feature selection for ultra high-dimensional data via deep neural networks
AbstractThe applications of traditional statistical feature selection methods to high-dimension, low-sample-size data often struggle and encounter challenging problems, such as overfitting, curse of dimensionality, computational infeasibility, ...
- research-articleJune 2023
An adversarial domain adaptation approach combining dual domain pairing strategy for IoT intrusion detection under few-shot samples
Information Sciences: an International Journal (ISCI), Volume 629, Issue CJun 2023, Pages 719–745https://doi.org/10.1016/j.ins.2023.02.031Highlights- Two new data augmentation algorithms is designed to improve overfitting.
- A LEFE-...
The security of the Internet of Things (IoT) is an integral research topic to support its applicability. With the rapid development of IoT technology, security threats have become increasingly serious. Attackers turn their attention to ...
- research-articleJune 2023
A collaborative central domain adaptation approach with multi-order graph embedding for bearing fault diagnosis under few-shot samples
Applied Soft Computing (APSC), Volume 140, Issue CJun 2023https://doi.org/10.1016/j.asoc.2023.110243AbstractEffective fault diagnosis is a prerequisite for ensuring the safe, stable and long-term operation of many rotating machinery. With the rapid development of measurement, sensor and computing technologies, measurement data presents a ...
Highlights- Bearing fault diagnosis is achieved under the few-shot sample scenario.
- An MGE-...
- research-articleOctober 2022
Unbalanced network attack traffic detection based on feature extraction and GFDA-WGAN
Computer Networks: The International Journal of Computer and Telecommunications Networking (CNTW), Volume 216, Issue COct 2022https://doi.org/10.1016/j.comnet.2022.109283AbstractDetecting various types of attack traffic is critical to computer network security. The current detection methods require massive amounts of data to detect attack traffic. However, in most cases, the attack traffic samples are ...
- research-articleOctober 2022
LDoS attack traffic detection based on feature optimization extraction and DPSA-WGAN
Applied Intelligence (KLU-APIN), Volume 53, Issue 11Jun 2023, Pages 13924–13955https://doi.org/10.1007/s10489-022-04171-2AbstractLow-rate Denial of Service (LDoS) attacks cause severe destructiveness to network security. Moreover, they are more difficult to detect because they are more hidden and lack distinguishing features. Consequently, packets belonging to legitimate ...
- research-articleSeptember 2022
Online statistical inference for parameters estimation with linear-equality constraints
Journal of Multivariate Analysis (JMUL), Volume 191, Issue CSep 2022https://doi.org/10.1016/j.jmva.2022.105017AbstractStochastic gradient descent (SGD) and projected stochastic gradient descent (PSGD) are scalable algorithms to compute model parameters in unconstrained and constrained optimization problems. In comparison with SGD, PSGD forces its ...
- research-articleJune 2022
Towards the industrialisation of quantum key distribution in communication networks: A short survey
IET Quantum Communication (QTC2), Volume 3, Issue 3September 2022, Pages 151–163https://doi.org/10.1049/qtc2.12044AbstractQuantum information and communication technology will lead us to the new era of ultra‐fast and absolute‐secure networks. With the emergence of quantum supremacy on the horizon, the security of various classical encryption systems soon may be ...
- research-articleAugust 2022
Empirical Analysis on Financing Efficiency Measurement and Development Strategy of Leading Industries in Tianjin Based on DEA Tobit Model
ICEMC '22: Proceedings of the 2022 International Conference on E-business and Mobile CommerceMay 2022, Pages 97–102https://doi.org/10.1145/3543106.3543123The development in the new era and new stage must be high-quality development. To take the road of high-quality development, Tianjin must comprehensively improve the financing efficiency of leading industries, so as to speed up the cultivation of new ...
- research-articleFebruary 2022
CN-Celeb: Multi-genre speaker recognition
- Lantian Li,
- Ruiqi Liu,
- Jiawen Kang,
- Yue Fan,
- Hao Cui,
- Yunqi Cai,
- Ravichander Vipperla,
- Thomas Fang Zheng,
- Dong Wang
Speech Communication (SPCO), Volume 137, Issue CFeb 2022, Pages 77–91https://doi.org/10.1016/j.specom.2022.01.002AbstractResearch on speaker recognition is extending to address the vulnerability in the wild conditions, among which genre mismatch is perhaps the most challenging, for instance, enrollment with reading speech while testing with ...
Highlights- We publish a large-scale multi-genre speaker recognition corpus, CN-Celeb.
- We ...
- research-articleOctober 2021
Enhancing human indoor cognitive map development and wayfinding performance with immersive augmented reality-based navigation systems
Advanced Engineering Informatics (ADEI), Volume 50, Issue COct 2021https://doi.org/10.1016/j.aei.2021.101432AbstractAugmented reality (AR) is an interactive experience where computer-generated perceptual information is superimposed into the real-world environment. Most existing research in AR-based wayfinding has focused on the technological aspects ...
- research-articleAugust 2021
Real-time recognition system of soybean seed full-surface defects based on deep learning
Computers and Electronics in Agriculture (COEA), Volume 187, Issue CAug 2021https://doi.org/10.1016/j.compag.2021.106230Highlights- Method of combining alternate circumrotating mechanisms and deep learning.
- ...
Accurately sorting high-quality soybean seeds is a key task in increasing soybean yield in the breeding industry. At present, sorting systems based on machine vision focus on the recognition of only one side surface. This paper designs ...
- research-articleMarch 2021
Multi-target Detection by Distributed Passive Radar Systems without Reference Signals
2021 IEEE Wireless Communications and Networking Conference (WCNC)Mar 2021, Pages 1–5https://doi.org/10.1109/WCNC49053.2021.9417324In this paper we consider a passive radar system which doesn’t rely on the reception of reference signals from direct paths. A blind channel estimation based method is derived by exploring the relationship among the transmitted signal, the channel ...
- research-articleMarch 2021
Statistical QoS Guarantee for Power-Efficient Downlink NOMA with Statistical CSI
2021 IEEE Wireless Communications and Networking Conference (WCNC)Mar 2021, Pages 1–6https://doi.org/10.1109/WCNC49053.2021.9417311This paper investigates statistical quality of service (QoS) guarantee in a downlink non-orthogonal multiple access (NOMA) system with statistical channel state information (CSI). The statistical QoS requirements are based on the theory of effective ...