b'Xiaoxiao Li'

research

∙ 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...

0 Xiaoxiao Li, et al. ∙

research

∙ 06/04/2023

Sparse Convolution for Approximate Sparse Instance

Computing the convolution A ⋆ B of two vectors of dimension n is one of ...

0 Xiaoxiao Li, et al. ∙

research

∙ 06/03/2023

Forgettable Federated Linear Learning with Certified Data Removal

Federated learning (FL) is a trending distributed learning framework tha...

1 Ruinan Jin, et al. ∙

research

∙ 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...

0 Minjia Shi, et al. ∙

research

∙ 05/01/2023

Scalable Data Point Valuation in Decentralized Learning

Existing research on data valuation in federated and swarm learning focu...

2 Konstantin D. Pandl, et al. ∙

research

∙ 04/21/2023

Matching-based Data Valuation for Generative Model

Data valuation is critical in machine learning, as it helps enhance mode...

3 Jiaxi Yang, et al. ∙

research

∙ 04/11/2023

Biological Factor Regulatory Neural Network

Genes are fundamental for analyzing biological systems and many recent w...

1 Xinnan Dai, et al. ∙

research

∙ 03/30/2023

Rethinking AI Explainability and Plausibility

Setting proper evaluation objectives for explainable artificial intellig...

2 Weina Jin, et al. ∙

research

∙ 03/04/2023

Federated Virtual Learning on Heterogeneous Data with Local-global Distillation

Despite Federated Learning (FL)'s trend for learning machine learning mo...

9 Chun-Yin Huang, et al. ∙

research

∙ 03/03/2023

Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation

Maximum mean discrepancy (MMD) is a particularly useful distance metric ...

0 Yilin Yang, et al. ∙

research

∙ 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...

18 Wenlong Deng, et al. ∙

research

∙ 12/16/2022

SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation

Human organs constantly undergo anatomical changes due to a complex mix ...

6 Jee Seok Yoon, et al. ∙

research

∙ 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...

20 Ziyuan Yang, et al. ∙

research

∙ 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...

0 Xiaoxiao Li, et al. ∙

research

∙ 11/03/2022

A Convergence Theory for Federated Average: Beyond Smoothness

Federated learning enables a large amount of edge computing devices to l...

5 Xiaoxiao Li, et al. ∙

research

∙ 10/31/2022

Improving Fairness in Image Classification via Sketching

Fairness is a fundamental requirement for trustworthy and human-centered...

12 Ruichen Yao, et al. ∙

research

∙ 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...

18 Ruinan Jin, et al. ∙

research

∙ 10/05/2022

FedMT: Federated Learning with Mixed-type Labels

In federated learning (FL), classifiers (e.g., deep networks) are traine...

4 Qiong Zhang, et al. ∙

research

∙ 09/28/2022

Efficient Medical Image Assessment via Self-supervised Learning

High-performance deep learning methods typically rely on large annotated...

9 Chun-Yin Huang, et al. ∙

research

∙ 08/18/2022

Transcending XAI Algorithm Boundaries through End-User-Inspired Design

The boundaries of existing explainable artificial intelligence (XAI) alg...

5 Weina Jin, et al. ∙

research

∙ 08/07/2022

Federated Adversarial Learning: A Framework with Convergence Analysis

Federated learning (FL) is a trending training paradigm to utilize decen...

5 Xiaoxiao Li, et al. ∙

research

∙ 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...

2 Ziteng Cui, et al. ∙

research

∙ 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...

0 Xiaoxiao Li, et al. ∙

research

∙ 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...

5 Ruinan Jin, et al. ∙

research

∙ 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...

13 Hejie Cui, et al. ∙

research

∙ 06/26/2022

Class Impression for Data-free Incremental Learning

Standard deep learning-based classification approaches require collectin...

22 Sana Ayromlou, et al. ∙

research

∙ 06/08/2022

Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT Imaging

Computed tomography (CT) is of great importance in clinical practice due...

3 Ziyuan Yang, et al. ∙

research

∙ 06/02/2022

MISSU: 3D Medical Image Segmentation via Self-distilling TransUNet

U-Nets have achieved tremendous success in medical image segmentation. N...

13 Nan Wang, et al. ∙

research

∙ 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...

0 Minjia Shi, et al. ∙

research

∙ 04/07/2022

Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients

Supervised federated learning (FL) enables multiple clients to share the...

25 Nan Lu, et al. ∙

research

∙ 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...

10 Liang Peng, et al. ∙

research

∙ 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...

18 Weina Jin, et al. ∙

research

∙ 02/16/2022

Guidelines and evaluation for clinical explainable AI on medical image analysis

Explainable artificial intelligence (XAI) is essential for enabling clin...

11 Weina Jin, et al. ∙

research

∙ 01/07/2022

RestoreDet: Degradation Equivariant Representation for Object Detection in Low Resolution Images

Image restoration algorithms such as super resolution (SR) are indispens...

2 Ziteng Cui, et al. ∙

research

∙ 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...

17 Liang Peng, et al. ∙

research

∙ 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...

15 Yifei Huang, et al. ∙

research

∙ 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 ...

0 Xiaoxiao Li, et al. ∙

research

∙ 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...

7 Li Fu, et al. ∙

research

∙ 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...

6 Di Fan, et al. ∙

research

∙ 09/08/2021

EMA: Auditing Data Removal from Trained Models

Data auditing is a process to verify whether certain data have been remo...

11 Yangsibo Huang, et al. ∙

research

∙ 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...

25 Hejie Cui, et al. ∙

research

∙ 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...

3 Weina Jin, et al. ∙

research

∙ 06/25/2021

Subgraph Federated Learning with Missing Neighbor Generation

Graphs have been widely used in data mining and machine learning due to ...

9 Ke Zhang, et al. ∙

research

∙ 05/17/2021

Designs, permutations, and transitive groups

A notion of t-designs in the symmetric group on n letters was introduced...

0 Minjia Shi, et al. ∙

research

∙ 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...

4 Baihe Huang, et al. ∙

research

∙ 04/15/2021

Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity

Heterogeneous presentation of a neurological disorder suggests potential...

14 Nicha C. Dvornek, et al. ∙

research

∙ 03/07/2021

Estimating and Improving Fairness with Adversarial Learning

Fairness and accountability are two essential pillars for trustworthy Ar...

11 Xiaoxiao Li, et al. ∙

research

∙ 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...

13 Xiaoxiao Li, et al. ∙

research

∙ 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 ...

4 Xiaoxiao Li, et al. ∙

research

∙ 09/28/2020

Texture Memory-Augmented Deep Patch-Based Image Inpainting

Patch-based methods and deep networks have been employed to tackle image...

15 Rui Xu, et al. ∙

Xiaoxiao Li

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