219 citations · 747 across the 35 of their papers we have counts for
12 papers · 1 filter
ACFNet: Attentional Class Feature Network for Semantic Segmentation
Fan Zhang, Yanqin Chen, Zhihang Li +5
Recent works have made great progress in semantic segmentation by exploiting richer context, most of which are designed from a spatial perspective. In contrast to previous works, w…
Learning-Guided Network Fuzzing for Testing Cyber-Physical System Defences
Yuqi Chen, Christopher M. Poskitt, Jun Sun +2
The threat of attack faced by cyber-physical systems (CPSs), especially when they play a critical role in automating public infrastructure, has motivated research into a wide varie…
DECO: Liberating Web Data Using Decentralized Oracles for TLS
Fan Zhang, Sai Krishna Deepak Maram, Harjasleen Malvai +2
Thanks to the widespread deployment of TLS, users can access private data over channels with end-to-end confidentiality and integrity. What they cannot do, however, is prove to thi…
Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation
Junlin Yang, Nicha C. Dvornek, Fan Zhang +3
A deep learning model trained on some labeled data from a certain source domain generally performs poorly on data from different target domains due to domain shifts. Unsupervised d…
Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation
Junlin Yang, Nicha C. Dvornek, Fan Zhang +4
Domain Adaptation (DA) has the potential to greatly help the generalization of deep learning models. However, the current literature usually assumes to transfer the knowledge from…
Edge AIBench: Towards Comprehensive End-to-end Edge Computing Benchmarking
Tianshu Hao, Yunyou Huang, Xu Wen +8
In edge computing scenarios, the distribution of data and collaboration of workloads on different layers are serious concerns for performance, privacy, and security issues. So for…
Predicting Treatment Initiation from Clinical Time Series Data via Graph-Augmented Time-Sensitive Model
Fan Zhang, Tong Wu, Yunlong Wang +5
Many computational models were proposed to extract temporal patterns from clinical time series for each patient and among patient group for predictive healthcare. However, the comm…
Critical Edge Identification: A K-Truss Based Model
Wenjie Zhu, Mengqi Zhang, Chen Chen +3
In a social network, the strength of relationships between users can significantly affect the stability of the network. In this paper, we use the k-truss model to measure the stabi…
K-Core Maximization through Edge Additions
Zhongxin Zhou, Fan Zhang, Xuemin Lin +2
A popular model to measure the stability of a network is k-core - the maximal induced subgraph in which every vertex has at least k neighbors. Many studies maximize the number of v…
MediaPipe: A Framework for Building Perception Pipelines
Camillo Lugaresi, Jiuqiang Tang, Hadon Nash +11
Building applications that perceive the world around them is challenging. A developer needs to (a) select and develop corresponding machine learning algorithms and models, (b) buil…
GSI: GPU-friendly Subgraph Isomorphism
Li Zeng, Lei Zou, M. Tamer Özsu +2
Subgraph isomorphism is a well-known NP-hard problem that is widely used in many applications, such as social network analysis and query over the knowledge graph. Due to the inhere…
Noise-Tolerant Paradigm for Training Face Recognition CNNs
Wei Hu, Yangyu Huang, Fan Zhang +1
Benefit from large-scale training datasets, deep Convolutional Neural Networks(CNNs) have achieved impressive results in face recognition(FR). However, tremendous scale of datasets…