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09/21/2023
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting
This paper studies the problem of traffic flow forecasting, which aims t...
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09/11/2023
When ChatGPT Meets Smart Contract Vulnerability Detection: How Far Are We?
With the development of blockchain technology, smart contracts have beco...
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08/04/2023
A Bi-variant Variational Model for Diffeomorphic Image Registration with Relaxed Jacobian Determinant Constraints
Diffeomorphic registration has become a powerful approach for seeking a ...
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06/08/2023
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification
Although graph neural networks (GNNs) have achieved impressive achieveme...
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05/19/2023
PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction
In this paper, we investigate the challenge of spatio-temporal video pre...
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05/05/2023
Solution existence, uniqueness, and stability of discrete basis sinograms in multispectral CT
This work investigates conditions for quantitative image reconstruction ...
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04/22/2023
SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval
Legal case retrieval, which aims to find relevant cases for a query case...
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03/12/2023
Multi-metrics adaptively identifies backdoors in Federated learning
The decentralized and privacy-preserving nature of federated learning (F...
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11/03/2022
Try to Avoid Attacks: A Federated Data Sanitization Defense for Healthcare IoMT Systems
Healthcare IoMT systems are becoming intelligent, miniaturized, and more...
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07/25/2022
On Mitigating Hard Clusters for Face Clustering
Face clustering is a promising way to scale up face recognition systems ...
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06/26/2022
Towards Representation Alignment and Uniformity in Collaborative Filtering
Collaborative filtering (CF) plays a critical role in the development of...
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04/13/2022
Explicit caching HYB: a new high-performance SpMV framework on GPGPU
Sparse Matrix-Vector Multiplication (SpMV) is a critical operation for t...
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04/05/2022
A Survey on Dropout Methods and Experimental Verification in Recommendation
Overfitting is a common problem in machine learning, which means the mod...
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03/04/2022
Adaptive Cross-Layer Attention for Image Restoration
Non-local attention module has been proven to be crucial for image resto...
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01/18/2022
Recommendation Unlearning
Recommender systems provide essential web services by learning users' pe...
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10/11/2021
Density-Based Clustering with Kernel Diffusion
Finding a suitable density function is essential for density-based clust...
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09/13/2021
ARGO: Modeling Heterogeneity in E-commerce Recommendation
Nowadays, E-commerce is increasingly integrated into our daily lives. Me...
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05/25/2021
Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation
With the increasing scale and diversification of interaction behaviors i...
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05/13/2021
Deep Unsupervised Hashing by Distilled Smooth Guidance
Hashing has been widely used in approximate nearest neighbor search for ...
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04/29/2021
Discriminative-Generative Dual Memory Video Anomaly Detection
Recently, people tried to use a few anomalies for video anomaly detectio...
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04/03/2021
Graph Contrastive Clustering
Recently, some contrastive learning methods have been proposed to simult...
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11/24/2020
Spatiotemporal Imaging with Diffeomorphic Optimal Transportation
We propose a variational model with diffeomorphic optimal transportation...
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10/15/2020
CIMON: Towards High-quality Hash Codes
Recently, hashing is widely-used in approximate nearest neighbor search ...
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10/06/2020
A Novel Neural Network Training Framework with Data Assimilation
In recent years, the prosperity of deep learning has revolutionized the ...
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08/07/2020
Deep Robust Clustering by Contrastive Learning
Recently, many unsupervised deep learning methods have been proposed to ...
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06/01/2020
An Algorithm to Compute the X-ray Transform
The X-ray transform models a forward projection operator of image format...
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12/09/2018
A New Variational Model for Joint Image Reconstruction and Motion Estimation in Spatiotemporal Imaging
We propose a new variational model for joint image reconstruction and mo...
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06/13/2017
