11,712 Result(s)
within
Conference Paper
**zu Wang
Information Systems Applications (incl. Internet)
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Chapter and Conference Paper
Crowd Intelligence Driven Design Framework Based on Perception-Retrieval Cognitive Mechanism
Currently, the use of crowd intelligence in which the knowledge from different disciplines is integrated for complex product design has attracted increasing attention from both academia and industry. However, ...
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Chapter and Conference Paper
InDNI: An Infection Time Independent Method for Diffusion Network Inference
Diffusion network inference aims to reveal the message propagation process among users and has attracted many research interests due to the fundamental role it plays in some real applications, such as rumor-sp...
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Chapter and Conference Paper
PVT-COV19D: COVID-19 Detection Through Medical Image Classification Based on Pyramid Vision Transformer
With the outbreak of COVID-19, a large number of relevant studies have emerged in recent years. We propose an automatic COVID-19 diagnosis model based on PVTv2 and the multiple voting mechanism. To accommodate...
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Chapter and Conference Paper
EIMDC: A New Model for Designing Digital Twin Applications
With the development of communications and big data, digital twin as a novel paradigm has been received insentive attentions. However, there are some huge challenges in designing digital twins due to the compl...
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Chapter and Conference Paper
An Effective Approach for Step**-Stone Intrusion Detection Using Packet Crossover
An effective approach for step**-stone intrusion detection (SSID) is to estimate the length of a connection chain, which is referred to as the network-based detection approach. In this paper, we propose an e...
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Chapter and Conference Paper
Natural-Annotation-Based Malay Multiword Expressions Extraction and Clustering
Multiword expression (MWE) is an optimal granularity of language reuse. However, no explicit boundaries between MWEs and other words causes a serious problem on automatic identification of MWEs for some less c...
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Chapter and Conference Paper
Facilitating Construction Scene Understanding Knowledge Sharing and Reuse via Lifelong Site Object Detection
Automatically recognizing diverse construction resources (e.g., workers and equipment) from construction scenes supports efficient and intelligent workplace management. Previous studies have focused on identifyin...
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Chapter and Conference Paper
Parallel Skyline Query Processing of Massive Incomplete Activity-Trajectories Data
The big spatial temporal data captured from technology tools produce massive amount of trajectories data collected from GPS devices. The top-k query was proposed by many researchers, on which they used distanc...
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Chapter and Conference Paper
TransPatch: A Transformer-based Generator for Accelerating Transferable Patch Generation in Adversarial Attacks Against Object Detection Models
Patch-based adversarial attack shows the possibility to black-box physical attacks on state-of-the-art object detection models through hiding the occurrence of the objects, which causes a high risk in automate...
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Chapter and Conference Paper
Spline-Based Dense Medial Descriptors for Image Simplification Using Saliency Maps
Medial descriptors have attracted increasing interest in image representation, simplification, and compression. Recently, such descriptors have been separately used to (a) increase the local quality of represe...
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Chapter and Conference Paper
Lane Change Classification and Prediction with Action Recognition Networks
Anticipating lane change intentions of surrounding vehicles is crucial for efficient and safe driving decision making in an autonomous driving system. Previous works often adopt physical variables such as driv...
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Chapter and Conference Paper
SimpleTrack: Understanding and Rethinking 3D Multi-object Tracking
3D multi-object tracking (MOT) has witnessed numerous novel benchmarks and approaches in recent years, especially those under the “tracking-by-detection” paradigm. Despite their progress and usefulness, an in-...
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Chapter and Conference Paper
When CNN Meet with ViT: Towards Semi-supervised Learning for Multi-class Medical Image Semantic Segmentation
Due to the lack of quality annotation in medical imaging community, semi-supervised learning methods are highly valued in image semantic segmentation tasks. In this paper, an advanced consistency-aware pseudo-...
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Chapter and Conference Paper
CMC_v2: Towards More Accurate COVID-19 Detection with Discriminative Video Priors
This paper presents our solution for the 2nd COVID-19 Competition, occurring in the framework of the AIMIA Workshop at the European Conference on Computer Vision (ECCV 2022). In our approach, we employ the win...
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Chapter and Conference Paper
A Deep Wavelet Network for High-Resolution Microscopy Hyperspectral Image Reconstruction
Microscopy hyperspectral imaging (MHSI) integrates conventional imaging with spectroscopy to capture images through numbers of narrow spectral bands, and has attracted much attention in histopathology image an...
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Chapter and Conference Paper
Network Risk Assessment Method Based on Residual Risk Analysis
The existing network security theory usually believes that “residual risks” are acceptable to a certain degree. However, the reality is that most attackers can enter the network by using the residual risks. Th...
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Chapter and Conference Paper
Recognition of Blinding Diseases from Ocular OCT Images Based on Deep Learning
Age-Related Macular Degeneration (AMD) and Diabetes Macular Edema (DME) are eye diseases with the highest blinding rate. Optical Coherence Tomography (OCT) is widely used to diagnose different eye diseases. Ho...
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Chapter and Conference Paper
Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations
Few-shot learning (FSL) aims to recognize novel queries with only a few support samples through leveraging prior knowledge from a base dataset. In this paper, we consider the domain shift problem in FSL and ai...
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Chapter and Conference Paper
Prevention of GAN-Based Privacy Inferring Attacks Towards Federated Learning
With the increasing amount of data, data privacy has drawn great concern in machine learning among the public. Federated Learning, which is a new kind of distributed learning framework, enables data providers ...
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Chapter and Conference Paper
Trajectory Optimization in UAV Communication System Based on User-QoS
Due to the mobility and flexibility of unmanned aerial vehicles (UAVs), the UAV communication networks can effectively support information transmission in the cellular networks. The purpose of this paper is to...
