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08/29/2023
Low-bit Quantization for Deep Graph Neural Networks with Smoothness-aware Message Propagation
Graph Neural Network (GNN) training and inference involve significant ch...
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09/26/2022
PearNet: A Pearson Correlation-based Graph Attention Network for Sleep Stage Recognition
Sleep stage recognition is crucial for assessing sleep and diagnosing ch...
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07/23/2022
FastATDC: Fast Anomalous Trajectory Detection and Classification
Automated detection of anomalous trajectories is an important problem wi...
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03/28/2022
Temporal Cascade Model for Analyzing Spread in Evolving Networks with Disease Monitoring Applications
Current approaches for modeling propagation in networks (e.g., spread of...
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12/05/2021
A comment-driven evidence appraisal approach for decision-making when only uncertain evidence available
Purpose: To explore whether comments could be used as an assistant tool ...
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05/07/2021
More Separable and Easier to Segment: A Cluster Alignment Method for Cross-Domain Semantic Segmentation
Feature alignment between domains is one of the mainstream methods for U...
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10/26/2020
PPQ-Trajectory: Spatio-temporal Quantization for Querying in Large Trajectory Repositories
We present PPQ-trajectory, a spatio-temporal quantization based solution...
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05/19/2019
Toward Scalable Fully Homomorphic Encryption Through Light Trusted Computing Assistance
It has been a long standing problem to securely outsource computation ta...
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03/10/2018
Efficient Determination of Equivalence for Encrypted Data
Secure computation of equivalence has fundamental application in many di...
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07/06/2017
Skeleton-based Action Recognition Using LSTM and CNN
Recent methods based on 3D skeleton data have achieved outstanding perfo...
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04/06/2016
