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08/30/2023
Low-Rank Multitask Learning based on Tensorized SVMs and LSSVMs
Multitask learning (MTL) leverages task-relatedness to enhance performan...
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06/12/2023
Nonlinear SVD with Asymmetric Kernels: feature learning and asymmetric Nyström method
Asymmetric data naturally exist in real life, such as directed graphs. D...
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05/31/2023
Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation
Recently, a new line of works has emerged to understand and improve self...
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03/04/2023
Tensorized LSSVMs for Multitask Regression
Multitask learning (MTL) can utilize the relatedness between multiple ta...
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02/22/2023
Deep Kernel Principal Component Analysis for Multi-level Feature Learning
Principal Component Analysis (PCA) and its nonlinear extension Kernel PC...
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07/25/2022
Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Transformer
The success of Vision Transformer (ViT) in various computer vision tasks...
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07/23/2022
Tensor-based Multi-view Spectral Clustering via Shared Latent Space
Multi-view Spectral Clustering (MvSC) attracts increasing attention due ...
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06/18/2022
Piecewise Linear Neural Networks and Deep Learning
As a powerful modelling method, PieceWise Linear Neural Networks (PWLNNs...
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05/26/2022
Trainable Weight Averaging for Fast Convergence and Better Generalization
Stochastic gradient descent (SGD) and its variants are commonly consider...
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05/24/2022
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks
The score-based query attacks (SQAs) pose practical threats to deep neur...
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05/31/2021
QueryNet: An Efficient Attack Framework with Surrogates Carrying Multiple Identities
Deep Neural Networks (DNNs) are acknowledged as vulnerable to adversaria...
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03/20/2021
Train Deep Neural Networks in 40-D Subspaces
Although there are massive parameters in deep neural networks, the train...
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02/20/2021
Going Far Boosts Attack Transferability, but Do Not Do It
Deep Neural Networks (DNNs) could be easily fooled by Adversarial Exampl...
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09/30/2019
Tensor-based Cooperative Control for Large Scale Multi-intersection Traffic Signal Using Deep Reinforcement Learning and Imitation Learning
Traffic signal control has long been considered as a critical topic in i...
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05/15/2019