113 citations · 211 across the 9 of their papers we have counts for
9 papers
Video Anomaly Detection By The Duality Of Normality-Granted Optical Flow
Hongyong Wang, Xinjian Zhang, Su Yang +1
Video anomaly detection is a challenging task because of diverse abnormal events. To this task, methods based on reconstruction and prediction are wildly used in recent works, whic…
A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things
Jiehan Zhou, Shouhua Zhang, Qinghua Lu +7
Federated learning (FL) brings collaborative intelligence into industries without centralized training data to accelerate the process of Industry 4.0 on the edge computing level. F…
Risk Prediction on Traffic Accidents using a Compact Neural Model for Multimodal Information Fusion over Urban Big Data
Wenshan Wang, Su Yang, Weishan Zhang
Predicting risk map of traffic accidents is vital for accident prevention and early planning of emergency response. Here, the challenge lies in the multimodal nature of urban big d…
Dynamic Fusion based Federated Learning for COVID-19 Detection
Weishan Zhang, Tao Zhou, Qinghua Lu +6
Medical diagnostic image analysis (e.g., CT scan or X-Ray) using machine learning is an efficient and accurate way to detect COVID-19 infections. However, sharing diagnostic images…
Blockchain-based Federated Learning for Device Failure Detection in Industrial IoT
Weishan Zhang, Qinghua Lu, Qiuyu Yu +6
Device failure detection is one of most essential problems in industrial internet of things (IIoT). However, in conventional IIoT device failure detection, client devices need to u…
uBaaS: A Unified Blockchain as a Service Platform
Qinghua Lu, Xiwei Xu, Yue Liu +3
Blockchain is an innovative distributed ledger technology which has attracted a wide range of interests for building the next generation of applications to address lack-of-trust is…
Enabling the Social Internet of Things and Social Cloud
Weishan Zhang, Qun Jin, Didier El Baz
Social Internet of Things are changing what social patterns can be, and will bring unprecedented online and offline social experiences. Social cloud is an improvement over social n…
Anomaly Detection and Localization in Crowded Scenes by Motion-field Shape Description and Similarity-based Statistical Learning
Xinfeng Zhang, Su Yang, Xinjian Zhang +2
In crowded scenes, detection and localization of abnormal behaviors is challenging in that high-density people make object segmentation and tracking extremely difficult. We associa…
Neural Aesthetic Image Reviewer
Wenshan Wang, Su Yang, Weishan Zhang +1
Recently, there is a rising interest in perceiving image aesthetics. The existing works deal with image aesthetics as a classification or regression problem. To extend the cognitio…