42 citations · 98 across the 14 of their papers we have counts for
14 papers
Segment Any Vehicle: Semantic and Visual Context Driven SAM and A Benchmark
Xiao Wang, Ziwen Wang, Wentao Wu +4
With the rapid advancement of autonomous driving, vehicle perception, particularly detection and segmentation, has placed increasingly higher demands on algorithmic performance. Pr…
Open Set Dandelion Network for IoT Intrusion Detection
Jiashu Wu, Hao Dai, Kenneth B. Kent +3
As IoT devices become widely, it is crucial to protect them from malicious intrusions. However, the data scarcity of IoT limits the applicability of traditional intrusion detection…
Adaptive Bi-Recommendation and Self-Improving Network for Heterogeneous Domain Adaptation-Assisted IoT Intrusion Detection
Jiashu Wu, Yang Wang, Hao Dai +2
As Internet of Things devices become prevalent, using intrusion detection to protect IoT from malicious intrusions is of vital importance. However, the data scarcity of IoT hinders…
How does SSD Cluster Perform for Distributed File Systems: An Empirical Study
Jiashu Wu, Yang Wang, Jinpeng Wang +2
As the capacity of Solid-State Drives (SSDs) is constantly being optimised and boosted with gradually reduced cost, the SSD cluster is now widely deployed as part of the hybrid sto…
Heterogeneous Domain Adaptation for IoT Intrusion Detection: A Geometric Graph Alignment Approach
Jiashu Wu, Hao Dai, Yang Wang +2
Data scarcity hinders the usability of data-dependent algorithms when tackling IoT intrusion detection (IID). To address this, we utilise the data rich network intrusion detection…
Multi-Scenario Bimetric-Balanced IoT Resource Allocation: An Evolutionary Approach
Jiashu Wu, Hao Dai, Yang Wang +1
In this paper, we allocate IoT devices as resources for smart services with time-constrained resource requirements. The allocation method named as BRAD can work under multiple reso…
Joint Semantic Transfer Network for IoT Intrusion Detection
Jiashu Wu, Yang Wang, Binhui Xie +4
In this paper, we propose a Joint Semantic Transfer Network (JSTN) towards effective intrusion detection for large-scale scarcely labelled IoT domain. As a multi-source heterogeneo…
Learning to Rank with Small Set of Ground Truth Data
Jiashu Wu
Over the past decades, researchers had put lots of effort investigating ranking techniques used to rank query results retrieved during information retrieval, or to rank the recomme…
PECCO: A Profit and Cost-oriented Computation Offloading Scheme in Edge-Cloud Environment with Improved Moth-flame Optimisation
Jiashu Wu, Hao Dai, Yang Wang +2
With the fast growing quantity of data generated by smart devices and the exponential surge of processing demand in the Internet of Things (IoT) era, the resource-rich cloud centre…
A self-contained and self-explanatory DNA storage system
Min Li, Jiashu Wu, Junbiao Dai +4
Current research on DNA storage usually focuses on the improvement of storage density by developing effective encoding and decoding schemes while lacking the consideration on the u…
MIX-RS: A Multi-indexing System based on HDFS for Remote Sensing Data Storage
Jiashu Wu, Jingpan Xiong, Hao Dai +2
A large volume of remote sensing (RS) data has been generated with the deployment of satellite technologies. The data facilitates research in ecological monitoring, land management…
Towards Fast Theta-join: A Prefiltering and Amalgamated Partitioning Approach
Jiashu Wu, Yang Wang, Xiaopeng Fan +2
As one of the most useful online processing techniques, the theta-join operation has been utilized by many applications to fully excavate the relationships between data streams in…
PackCache: An Online Cost-driven Data Caching Algorithm in the Cloud
Jiashu Wu, Hao Dai, Yang Wang +3
In this paper, we study a data caching problem in the cloud environment, where multiple frequently co-utilised data items could be packed as a single item being transferred to serv…
Simultaneous Semantic Alignment Network for Heterogeneous Domain Adaptation
Shuang Li, Binhui Xie, Jiashu Wu +3
Heterogeneous domain adaptation (HDA) transfers knowledge across source and target domains that present heterogeneities e.g., distinct domain distributions and difference in featur…