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07/25/2023
Modify Training Directions in Function Space to Reduce Generalization Error
We propose theoretical analyses of a modified natural gradient descent m...
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07/15/2023
ExposureDiffusion: Learning to Expose for Low-light Image Enhancement
Previous raw image-based low-light image enhancement methods predominant...
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06/27/2023
Multilayer random dot product graphs: Estimation and online change point detection
We study the multilayer random dot product graph (MRDPG) model, an exten...
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06/21/2023
Beyond Learned Metadata-based Raw Image Reconstruction
While raw images have distinct advantages over sRGB images, e.g., linear...
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06/01/2023
Pursuing Equilibrium of Medical Resources via Data Empowerment in Parallel Healthcare System
The imbalance between the supply and demand of healthcare resources is a...
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05/30/2023
Robust mean change point testing in high-dimensional data with heavy tails
We study a mean change point testing problem for high-dimensional data, ...
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05/08/2023
SWDPM: A Social Welfare-Optimized Data Pricing Mechanism
Data trading has been hindered by privacy concerns associated with user-...
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04/10/2023
H2RBox-v2: Boosting HBox-supervised Oriented Object Detection via Symmetric Learning
With the increasing demand for oriented object detection e.g. in autonom...
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03/23/2023
Frame-Level Multi-Label Playing Technique Detection Using Multi-Scale Network and Self-Attention Mechanism
Instrument playing technique (IPT) is a key element of musical presentat...
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03/14/2023
High-Dimensional Dynamic Pricing under Non-Stationarity: Learning and Earning with Change-Point Detection
We consider a high-dimensional dynamic pricing problem under non-station...
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02/28/2023
Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger
Recent deep-learning-based compression methods have achieved superior pe...
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02/25/2023
Raw Image Reconstruction with Learned Compact Metadata
While raw images exhibit advantages over sRGB images (e.g., linearity an...
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01/27/2023
Change point detection and inference in multivariable nonparametric models under mixing conditions
This paper studies multivariate nonparametric change point localization ...
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11/11/2022
Phase-Shifting Coder: Predicting Accurate Orientation in Oriented Object Detection
With the vigorous development of computer vision, oriented object detect...
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10/27/2022
Quasi-Monte Carlo finite element approximation of the Navier-Stokes equations with initial data modeled by log-normal random fields
In this paper, we analyze the numerical approximation of the Navier-Stok...
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10/03/2022
Dual Gradient Descent EMF-Aware MU-MIMO Beamforming in RIS-Aided 6G Networks
Reconfigurable Intelligent Surface (RIS) is one of the key technologies ...
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09/29/2022
EMF-Aware MU-MIMO Beamforming in RIS-Aided Cellular Networks
Reconfigurable Intelligent Surfaces (RISs) are one of the key emerging 6...
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09/19/2022
Playing Technique Detection by Fusing Note Onset Information in Guzheng Performance
The Guzheng is a kind of traditional Chinese instruments with diverse pl...
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08/30/2022
HPPNet: Modeling the Harmonic Structure and Pitch Invariance in Piano Transcription
While neural network models are making significant progress in piano tra...
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07/25/2022
Change point inference in high-dimensional regression models under temporal dependence
This paper concerns about the limiting distributions of change point est...
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06/25/2022
Design and Analysis of Robust Resilient Diffusion over Multi-Task Networks Against Byzantine Attacks
This paper studies distributed diffusion adaptation over clustered multi...
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06/18/2022
Dynamic and heterogeneous treatment effects with abrupt changes
From personalised medicine to targeted advertising, it is an inherent ta...
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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...
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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...
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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...
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05/14/2022
Network change point localisation under local differential privacy
Network data are ubiquitous in our daily life, containing rich but often...
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05/02/2022
HarmoF0: Logarithmic Scale Dilated Convolution For Pitch Estimation
Sounds, especially music, contain various harmonic components scattered ...
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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...
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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...
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03/19/2022
Conjugate Gradient Adaptive Learning with Tukey's Biweight M-Estimate
We propose a novel M-estimate conjugate gradient (CG) algorithm, termed ...
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02/28/2022
Recent Advances and Challenges in Deep Audio-Visual Correlation Learning
Audio-visual correlation learning aims to capture essential corresponden...
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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...
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01/03/2022
On robustness and local differential privacy
It is of soaring demand to develop statistical analysis tools that are r...
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12/16/2021
Feature Distillation Interaction Weighting Network for Lightweight Image Super-Resolution
Convolutional neural networks based single-image super-resolution (SISR)...
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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 ...
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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...
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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...
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10/21/2021
Optimal partition recovery in general graphs
We consider a novel graph-structured change point problem. We observe a ...
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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...
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10/13/2021
Online network change point detection with missing values
In this paper we study online change point detection in dynamic networks...
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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...
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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...
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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...
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08/06/2021
Interpretable Visual Understanding with Cognitive Attention Network
While image understanding on recognition-level has achieved remarkable a...
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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...
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05/27/2021
Lattice partition recovery with dyadic CART
We study piece-wise constant signals corrupted by additive Gaussian nois...
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05/22/2021
Locally private online change point detection
We study online change point detection problems under the constraint of ...
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05/21/2021
Adversarially Robust Change Point Detection
Change point detection is becoming increasingly popular in many applicat...
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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...
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03/26/2021