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07/20/2023
Transsion TSUP's speech recognition system for ASRU 2023 MADASR Challenge
This paper presents a speech recognition system developed by the Transsi...
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06/04/2023
Sparse Convolution for Approximate Sparse Instance
Computing the convolution A ⋆ B of two vectors of dimension n is one of ...
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06/03/2023
Forgettable Federated Linear Learning with Certified Data Removal
Federated learning (FL) is a trending distributed learning framework tha...
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05/04/2023
Quasi-cyclic perfect codes in Doob graphs and special partitions of Galois rings
The Galois ring GR(4^Δ) is the residue ring Z_4[x]/(h(x)), where h(x) is...
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05/01/2023
Scalable Data Point Valuation in Decentralized Learning
Existing research on data valuation in federated and swarm learning focu...
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04/21/2023
Matching-based Data Valuation for Generative Model
Data valuation is critical in machine learning, as it helps enhance mode...
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04/11/2023
Biological Factor Regulatory Neural Network
Genes are fundamental for analyzing biological systems and many recent w...
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03/30/2023
Rethinking AI Explainability and Plausibility
Setting proper evaluation objectives for explainable artificial intellig...
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03/04/2023
Federated Virtual Learning on Heterogeneous Data with Local-global Distillation
Despite Federated Learning (FL)'s trend for learning machine learning mo...
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03/03/2023
Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation
Maximum mean discrepancy (MMD) is a particularly useful distance metric ...
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01/04/2023
On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations
Mitigating the discrimination of machine learning models has gained incr...
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12/16/2022
SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation
Human organs constantly undergo anatomical changes due to a complex mix ...
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12/13/2022
Robust Split Federated Learning for U-shaped Medical Image Networks
U-shaped networks are widely used in various medical image tasks, such a...
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11/07/2022
A tight upper bound on the number of non-zero weights of a quasi-cyclic code
Let 𝒞 be a quasi-cyclic code of index l(l≥2). Let G be the subgroup of t...
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11/03/2022
A Convergence Theory for Federated Average: Beyond Smoothness
Federated learning enables a large amount of edge computing devices to l...
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10/31/2022
Improving Fairness in Image Classification via Sketching
Fairness is a fundamental requirement for trustworthy and human-centered...
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10/19/2022
Backdoor Attack and Defense in Federated Generative Adversarial Network-based Medical Image Synthesis
Deep Learning-based image synthesis techniques have been applied in heal...
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10/05/2022
FedMT: Federated Learning with Mixed-type Labels
In federated learning (FL), classifiers (e.g., deep networks) are traine...
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09/28/2022
Efficient Medical Image Assessment via Self-supervised Learning
High-performance deep learning methods typically rely on large annotated...
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08/18/2022
Transcending XAI Algorithm Boundaries through End-User-Inspired Design
The boundaries of existing explainable artificial intelligence (XAI) alg...
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08/07/2022
Federated Adversarial Learning: A Framework with Convergence Analysis
Federated learning (FL) is a trending training paradigm to utilize decen...
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08/05/2022
Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection
Image restoration algorithms such as super resolution (SR) are indispens...
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07/26/2022
Rank and pairs of Rank and Dimension of Kernel of ℤ_pℤ_p^2-linear codes
A code C is called ℤ_pℤ_p^2-linear if it is the Gray image of a ℤ_pℤ_p^2...
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07/02/2022
Backdoor Attack is A Devil in Federated GAN-based Medical Image Synthesis
Deep Learning-based image synthesis techniques have been applied in heal...
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06/30/2022
Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis
Human brains lie at the core of complex neurobiological systems, where t...
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06/26/2022
Class Impression for Data-free Incremental Learning
Standard deep learning-based classification approaches require collectin...
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06/08/2022
Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT Imaging
Computed tomography (CT) is of great importance in clinical practice due...
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06/02/2022
MISSU: 3D Medical Image Segmentation via Self-distilling TransUNet
U-Nets have achieved tremendous success in medical image segmentation. N...
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05/27/2022
ℤ_pℤ_p^2-linear codes: rank and kernel
A code C is called _p_p^2-linear if it is the Gray image of a _p_p^2-add...
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04/07/2022
Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients
Supervised federated learning (FL) enables multiple clients to share the...
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03/17/2022
GATE: Graph CCA for Temporal SElf-supervised Learning for Label-efficient fMRI Analysis
In this work, we focus on the challenging task, neuro-disease classifica...
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03/12/2022
Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements?
Being able to explain the prediction to clinical end-users is a necessit...
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02/16/2022
Guidelines and evaluation for clinical explainable AI on medical image analysis
Explainable artificial intelligence (XAI) is essential for enabling clin...
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01/07/2022
RestoreDet: Degradation Equivariant Representation for Object Detection in Low Resolution Images
Image restoration algorithms such as super resolution (SR) are indispens...
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12/19/2021
FedNI: Federated Graph Learning with Network Inpainting for Population-Based Disease Prediction
Graph Convolutional Neural Networks (GCNs) are widely used for graph ana...
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12/02/2021
Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data
The human gaze is a cost-efficient physiological data that reveals human...
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10/18/2021
A Space-time Model for Inferring A Susceptibility Map for An Infectious Disease
Motivated by foot-and-mouth disease (FMD) outbreak data from Turkey, we ...
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10/08/2021
SCaLa: Supervised Contrastive Learning for End-to-End Automatic Speech Recognition
End-to-end Automatic Speech Recognition (ASR) models are usually trained...
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09/24/2021
On the Fairness of Swarm Learning in Skin Lesion Classification
in healthcare. However, the existing AI model may be biased in its decis...
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09/08/2021
EMA: Auditing Data Removal from Trained Models
Data auditing is a process to verify whether certain data have been remo...
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07/11/2021
BrainNNExplainer: An Interpretable Graph Neural Network Framework for Brain Network based Disease Analysis
Interpretable brain network models for disease prediction are of great v...
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07/11/2021
One Map Does Not Fit All: Evaluating Saliency Map Explanation on Multi-Modal Medical Images
Being able to explain the prediction to clinical end-users is a necessit...
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06/25/2021
Subgraph Federated Learning with Missing Neighbor Generation
Graphs have been widely used in data mining and machine learning due to ...
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05/17/2021
Designs, permutations, and transitive groups
A notion of t-designs in the symmetric group on n letters was introduced...
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05/11/2021
FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Convergence Analysis
Federated Learning (FL) is an emerging learning scheme that allows diffe...
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04/15/2021
Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity
Heterogeneous presentation of a neurological disorder suggests potential...
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03/07/2021
Estimating and Improving Fairness with Adversarial Learning
Fairness and accountability are two essential pillars for trustworthy Ar...
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12/09/2020
Automating Document Classification with Distant Supervision to Increase the Efficiency of Systematic Reviews
Objective: Systematic reviews of scholarly documents often provide compl...
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10/22/2020
MixCon: Adjusting the Separability of Data Representations for Harder Data Recovery
To address the issue that deep neural networks (DNNs) are vulnerable to ...
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09/28/2020