b'Yan Sun'

research

∙ 08/25/2023

TriGait: Aligning and Fusing Skeleton and Silhouette Gait Data via a Tri-Branch Network

Gait recognition is a promising biometric technology for identification ...

0 Yan Sun, et al. ∙

research

∙ 08/14/2023

Temporal Sentence Grounding in Streaming Videos

This paper aims to tackle a novel task - Temporal Sentence Grounding in ...

0 Tian Gan, et al. ∙

research

∙ 07/30/2023

Efficient Federated Learning via Local Adaptive Amended Optimizer with Linear Speedup

Adaptive optimization has achieved notable success for distributed learn...

0 Yan Sun, et al. ∙

research

∙ 07/29/2023

GaitASMS: Gait Recognition by Adaptive Structured Spatial Representation and Multi-Scale Temporal Aggregation

Gait recognition is one of the most promising video-based biometric tech...

0 Yan Sun, et al. ∙

research

∙ 06/09/2023

Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization

Federated learning (FL) is a distributed paradigm that coordinates massi...

0 Yan Sun, et al. ∙

research

∙ 05/24/2023

Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training

Personalized federated learning (PFL) aims to produce the greatest perso...

0 Yifan Shi, et al. ∙

research

∙ 05/19/2023

Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape

In federated learning (FL), a cluster of local clients are chaired under...

0 Yan Sun, et al. ∙

research

∙ 04/07/2023

On Efficient Training of Large-Scale Deep Learning Models: A Literature Review

The field of deep learning has witnessed significant progress, particula...

0 Li Shen, et al. ∙

research

∙ 03/27/2023

Demystifying CXL Memory with Genuine CXL-Ready Systems and Devices

The high demand for memory capacity in modern datacenters has led to mul...

0 Yan Sun, et al. ∙

research

∙ 03/15/2023

Visual Prompt Based Personalized Federated Learning

As a popular paradigm of distributed learning, personalized federated le...

0 Guanghao Li, et al. ∙

research

∙ 02/24/2023

Subspace based Federated Unlearning

Federated learning (FL) enables multiple clients to train a machine lear...

0 Guanghao Li, et al. ∙

research

∙ 02/21/2023

Fusion of Global and Local Knowledge for Personalized Federated Learning

Personalized federated learning, as a variant of federated learning, tra...

0 Tiansheng Huang, et al. ∙

research

∙ 02/21/2023

FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy

Federated learning is an emerging distributed machine learning framework...

0 Yan Sun, et al. ∙

research

∙ 02/13/2023

Deep Graph-Level Orthogonal Hypersphere Compression for Anomaly Detection

Graph-level anomaly detection aims to identify anomalous graphs from a c...

0 Yunhe Zhang, et al. ∙

research

∙ 02/08/2023

Improving the Model Consistency of Decentralized Federated Learning

To mitigate the privacy leakages and communication burdens of Federated ...

10 Yifan Shi, et al. ∙

research

∙ 10/09/2022

Nonlinear Sufficient Dimension Reduction with a Stochastic Neural Network

Sufficient dimension reduction is a powerful tool to extract core inform...

0 Siqi Liang, et al. ∙

research

∙ 07/25/2022

Laplacian-based Cluster-Contractive t-SNE for High Dimensional Data Visualization

Dimensionality reduction techniques aim at representing high-dimensional...

0 Yan Sun, et al. ∙

research

∙ 03/16/2022

ORCA: A Network and Architecture Co-design for Offloading us-scale Datacenter Applications

Responding to the "datacenter tax" and "killer microseconds" problems fo...

0 Yifan Yuan, et al. ∙

research

∙ 01/14/2022

A Kernel-Expanded Stochastic Neural Network

The deep neural network suffers from many fundamental issues in machine ...

0 Yan Sun, et al. ∙

research

∙ 01/09/2022

Tree-based Regression for Interval-valued Data

Regression methods for interval-valued data have been increasingly studi...

0 Chih-Ching Yeh, et al. ∙

research

∙ 10/01/2021

Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration

Deep learning has powered recent successes of artificial intelligence (A...

0 Yan Sun, et al. ∙

research

∙ 05/27/2021

Manifold-constrained Gaussian process inference for time-varying parameters in dynamic systems

Identification of parameters in ordinary differential equations (ODEs) i...

0 Yan Sun, et al. ∙

research

∙ 02/25/2021

Consistent Sparse Deep Learning: Theory and Computation

Deep learning has been the engine powering many successes of data scienc...

0 Yan Sun, et al. ∙

research

∙ 07/23/2020

Deep Learning Based Equalizer for MIMO-OFDM Systems with Insufficient Cyclic Prefix

In this paper, we study the equalization design for multiple-input multi...

0 Yan Sun, et al. ∙

research

∙ 03/16/2020

Resource Allocation for IRS-assisted Full-Duplex Cognitive Radio Systems

In this paper, we investigate the resource allocation design for intelli...

0 Dongfang Xu, et al. ∙

research

∙ 02/07/2020

Extended Stochastic Gradient MCMC for Large-Scale Bayesian Variable Selection

Stochastic gradient Markov chain Monte Carlo (MCMC) algorithms have rece...

0 Qifan Song, et al. ∙

research

∙ 11/21/2019

Interval-Valued Kriging Models for Geostatistical Mapping with Imprecise Inputs

Many geosciences data are imprecise due to various limitations and uncer...

0 Brennan Bean, et al. ∙

research

∙ 10/20/2019

Learning-based real-time method to looking through scattering medium oriented to practical application

Strong scattering media brings great difficulties to optical imaging, wh...

41 Enlai Guo, et al. ∙

research

∙ 10/14/2019

Resource Allocation for Multi-User Downlink MISO OFDMA-URLLC Systems

This paper considers the resource allocation algorithm design for downli...

0 Walid R. Ghanem, et al. ∙

research

∙ 07/06/2019

Resource Allocation for Secure IRS-assisted Multiuser MISO Systems

In this paper, we study resource allocation design for secure communicat...

0 Dongfang Xu, et al. ∙

research

∙ 05/26/2019

Multiuser MISO UAV Communications in Uncertain Environments with No-fly Zones: Robust Trajectory and Resource Allocation Design

In this paper, we investigate robust resource allocation algorithm desig...

0 Dongfang Xu, et al. ∙

research

∙ 01/17/2019

Resource Allocation for Multi-User Downlink URLLC-OFDMA Systems

In this paper, we study resource allocation for downlink orthogonal freq...

0 Walid R. Ghanem, et al. ∙

research

∙ 01/09/2019

An interval-valued GARCH model for range-measured return processes

Range-measured return contains more information than the traditional sca...

0 Yan Sun, et al. ∙

research

∙ 09/11/2018

Robust Resource Allocation for UAV Systems with UAV Jittering and User Location Uncertainty

In this paper, we investigate resource allocation algorithm design for m...

0 Dongfang Xu, et al. ∙

research

∙ 07/31/2018

Optimal 3D-Trajectory Design and Resource Allocation for Solar-Powered UAV Communication Systems

In this paper, we investigate the resource allocation algorithm design f...

0 Yan Sun, et al. ∙

research

∙ 01/22/2018

Resource Allocation for Solar Powered UAV Communication Systems

In this paper, we investigate the resource allocation design for multica...

0 Yan Sun, et al. ∙

Yan Sun

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