b'Yi Yu'

research

∙ 05/19/2022

Change-point Detection for Sparse and Dense Functional Data in General Dimensions

We study the problem of change-point detection and localisation for func...

Carlos Misael Madrid Padilla, et al. ∙

research

∙ 05/16/2022

Chemical transformer compression for accelerating both training and inference of molecular modeling

Transformer models have been developed in molecular science with excelle...

Yi Yu, et al. ∙

research

∙ 05/15/2022

Sparsity-Aware Robust Normalized Subband Adaptive Filtering algorithms based on Alternating Optimization

This paper proposes a unified sparsity-aware robust normalized subband a...

Yi Yu, et al. ∙

research

∙ 05/14/2022

Network change point localisation under local differential privacy

Network data are ubiquitous in our daily life, containing rich but often...

Mengchu Li, et al. ∙

research

∙ 05/02/2022

HarmoF0: Logarithmic Scale Dilated Convolution For Pitch Estimation

Sounds, especially music, contain various harmonic components scattered ...

Weixing Wei, et al. ∙

research

∙ 04/28/2022

Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive Transformer

Single-image super-resolution (SISR) has achieved significant breakthrou...

Guangwei Gao, et al. ∙

research

∙ 03/31/2022

Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyond

Rain removal aims to remove rain streaks from images/videos and reduce t...

Yi Yu, et al. ∙

research

∙ 03/19/2022

Conjugate Gradient Adaptive Learning with Tukey's Biweight M-Estimate

We propose a novel M-estimate conjugate gradient (CG) algorithm, termed ...

Lu Lu, et al. ∙

research

∙ 02/28/2022

Recent Advances and Challenges in Deep Audio-Visual Correlation Learning

Audio-visual correlation learning aims to capture essential corresponden...

Luís Vilaça, et al. ∙

research

∙ 02/13/2022

DEEPCHORUS: A Hybrid Model of Multi-scale Convolution and Self-attention for Chorus Detection

Chorus detection is a challenging problem in musical signal processing a...

Qiqi He, et al. ∙

research

∙ 01/03/2022

On robustness and local differential privacy

It is of soaring demand to develop statistical analysis tools that are r...

Mengchu Li, et al. ∙

research

∙ 12/16/2021

Feature Distillation Interaction Weighting Network for Lightweight Image Super-Resolution

Convolutional neural networks based single-image super-resolution (SISR)...

Guangwei Gao, et al. ∙

research

∙ 12/05/2021

Variational Autoencoder with CCA for Audio-Visual Cross-Modal Retrieval

Cross-modal retrieval is to utilize one modality as a query to retrieve ...

Jiwei Zhang, et al. ∙

research

∙ 10/27/2021

Denoising and change point localisation in piecewise-constant high-dimensional regression coefficients

We study the theoretical properties of the fused lasso procedure origina...

Fan Wang, et al. ∙

research

∙ 10/26/2021

Learning Explicit and Implicit Latent Common Spaces for Audio-Visual Cross-Modal Retrieval

Learning common subspace is prevalent way in cross-modal retrieval to so...

Donghuo Zeng, et al. ∙

research

∙ 10/21/2021

Optimal partition recovery in general graphs

We consider a novel graph-structured change point problem. We observe a ...

Yi Yu, et al. ∙

research

∙ 10/19/2021

A survey on active noise control techniques – Part II: Nonlinear systems

Part I of this paper reviewed the development of the linear active noise...

Lu Lu, et al. ∙

research

∙ 10/13/2021

Online network change point detection with missing values

In this paper we study online change point detection in dynamic networks...

Paromita Dubey, et al. ∙

research

∙ 10/01/2021

A survey on active noise control techniques – Part I: Linear systems

Active noise control (ANC) is an effective way for reducing the noise le...

Lu Lu, et al. ∙

research

∙ 09/07/2021

CRNNTL: convolutional recurrent neural network and transfer learning for QSAR modelling

In this study, we propose the convolutional recurrent neural network and...

YaQin Li, et al. ∙

research

∙ 09/02/2021

FBSNet: A Fast Bilateral Symmetrical Network for Real-Time Semantic Segmentation

Real-time semantic segmentation, which can be visually understood as the...

Guangwei Gao, et al. ∙

research

∙ 08/06/2021

Interpretable Visual Understanding with Cognitive Attention Network

While image understanding on recognition-level has achieved remarkable a...

Xuejiao Tang, et al. ∙

research

∙ 07/30/2021

Enhancing Social Relation Inference with Concise Interaction Graph and Discriminative Scene Representation

There has been a recent surge of research interest in attacking the prob...

Xiaotian Yu, et al. ∙

research

∙ 05/27/2021

Lattice partition recovery with dyadic CART

We study piece-wise constant signals corrupted by additive Gaussian nois...

Oscar Hernan Madrid Padilla, et al. ∙

research

∙ 05/22/2021

Locally private online change point detection

We study online change point detection problems under the constraint of ...

Thomas Berrett, et al. ∙

research

∙ 05/21/2021

Adversarially Robust Change Point Detection

Change point detection is becoming increasingly popular in many applicat...

Mengchu Li, et al. ∙

research

∙ 03/31/2021

Few-Data Guided Learning Upon End-to-End Point Cloud Network for 3D Face Recognition

3D face recognition has shown its potential in many application scenario...

Yi Yu, et al. ∙

research

∙ 03/26/2021

Leaning Compact and Representative Features for Cross-Modality Person Re-Identification

This paper pays close attention to the cross-modality visible-infrared p...

Guangwei Gao, et al. ∙

research

∙ 03/25/2021

Hierarchical Deep CNN Feature Set-Based Representation Learning for Robust Cross-Resolution Face Recognition

Cross-resolution face recognition (CRFR), which is important in intellig...

Guangwei Gao, et al. ∙

research

∙ 03/25/2021

JDSR-GAN: Constructing A Joint and Collaborative Learning Network for Masked Face Super-Resolution

With the growing importance of preventing the COVID-19 virus, face image...

Guangwei Gao, et al. ∙

research

∙ 03/24/2021

MSCFNet: A Lightweight Network With Multi-Scale Context Fusion for Real-Time Semantic Segmentation

In recent years, how to strike a good trade-off between accuracy and inf...

Guangwei Gao, et al. ∙

research

∙ 03/24/2021

Lightweight Image Super-Resolution with Multi-scale Feature Interaction Network

Recently, the single image super-resolution (SISR) approaches with deep ...

Zhengxue Wang, et al. ∙

research

∙ 02/20/2021

Singer Identification Using Deep Timbre Feature Learning with KNN-Net

In this paper, we study the issue of automatic singer identification (SI...

Xulong Zhang, et al. ∙

research

∙ 02/19/2021

Frequency-Temporal Attention Network for Singing Melody Extraction

Musical audio is generally composed of three physical properties: freque...

Shuai Yu, et al. ∙

research

∙ 02/01/2021

Generalized non-stationary bandits

In this paper, we study a non-stationary stochastic bandit problem, whic...

Anne Gael Manegueu, et al. ∙

research

∙ 01/14/2021

Optimal network online change point localisation

We study the problem of online network change point detection. In this s...

Yi Yu, et al. ∙

research

∙ 12/25/2020

From Additive Average Schwarz Methods to Non-overlapping Spectral Additive Schwarz Methods

In this paper, we design and analyze new methods based on Additive Avera...

Yi Yu, et al. ∙

research

∙ 12/01/2020

Functional Linear Regression with Mixed Predictors

We study a functional linear regression model that deals with functional...

Daren Wang, et al. ∙

research

∙ 12/01/2020

MusicTM-Dataset for Joint Representation Learning among Sheet Music, Lyrics, and Musical Audio

This work present a music dataset named MusicTM-Dataset, which is utiliz...

Donghuo Zeng, et al. ∙

research

∙ 11/12/2020

Automatic Neural Lyrics and Melody Composition

In this paper, we propose a technique to address the most challenging as...

Gurunath Reddy Madhumani, et al. ∙

research

∙ 11/03/2020

A review on minimax rates in change point detection and localisation

This paper reviews recent developments in fundamental limits and optimal...

Yi Yu, et al. ∙

research

∙ 10/20/2020

Localizing Changes in High-Dimensional Regression Models

This paper addresses the problem of localizing change points in high-dim...

Alessandro Rinaldo, et al. ∙

research

∙ 09/18/2020

Conditional Hybrid GAN for Sequence Generation

Conditional sequence generation aims to instruct the generation procedur...

Yi Yu, et al. ∙

research

∙ 09/18/2020

Sparsity-Aware SSAF Algorithm with Individual Weighting Factors for Acoustic Echo Cancellation

In this paper, we propose and analyze the sparsity-aware sign subband ad...

Yi Yu, et al. ∙

research

∙ 08/04/2020

PAI-BPR: Personalized Outfit Recommendation Scheme with Attribute-wise Interpretability

Fashion is an important part of human experience. Events such as intervi...

Dikshant Sagar, et al. ∙

research

∙ 07/29/2020

Unsupervised Generative Adversarial Alignment Representation for Sheet music, Audio and Lyrics

Sheet music, audio, and lyrics are three main modalities during writing ...

Donghuo Zeng, et al. ∙

research

∙ 07/20/2020

Localising change points in piecewise polynomials of general degrees

In this paper we are concerned with a sequence of univariate random vari...

Yi Yu, et al. ∙

research

∙ 06/05/2020

Detecting Abrupt Changes in High-Dimensional Self-Exciting Poisson Processes

High-dimensional self-exciting point processes have been widely used in ...

Daren Wang, et al. ∙

research

∙ 06/05/2020

Graph matching beyond perfectly-overlapping Erdős–Rényi random graphs

Graph matching is a fruitful area in terms of both algorithms and theori...

Yaofang Hu, et al. ∙

research

∙ 06/05/2020

A Note on Online Change Point Detection

Online change point detection is originated in sequential analysis, whic...

Yi Yu, et al. ∙

Yi Yu

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