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09/09/2023
From Programming Bugs to Multimillion-Dollar Scams: An Analysis of Trapdoor Tokens on Decentralized Exchanges
We investigate in this work a recently emerging type of scam token calle...
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08/31/2023
Improving Robustness and Accuracy of Ponzi Scheme Detection on Ethereum Using Time-Dependent Features
The rapid development of blockchain has led to more and more funding pou...
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04/03/2023
Action Pick-up in Dynamic Action Space Reinforcement Learning
Most reinforcement learning algorithms are based on a key assumption tha...
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12/02/2022
Knowledge Graph Quality Evaluation under Incomplete Information
Utilities of knowledge graphs (KGs) depend on their qualities. A KG that...
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11/26/2022
Enhancing Constraint Programming via Supervised Learning for Job Shop Scheduling
Constraint programming (CP) is an effective technique for solving constr...
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10/31/2022
Adaptive Population-based Simulated Annealing for Uncertain Resource Constrained Job Scheduling
Transporting ore from mines to ports is of significant interest in minin...
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04/30/2022
Taylor, Can You Hear Me Now? A Taylor-Unfolding Framework for Monaural Speech Enhancement
While the deep learning techniques promote the rapid development of the ...
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03/14/2022
TaylorBeamformer: Learning All-Neural Beamformer for Multi-Channel Speech Enhancement from Taylor's Approximation Theory
While existing end-to-end beamformers achieve impressive performance in ...
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03/14/2022
MDNet: Learning Monaural Speech Enhancement from Deep Prior Gradient
While traditional statistical signal processing model-based methods can ...
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02/13/2022
Misspecification Analysis of High-Dimensional Random Effects Models for Estimation of Signal-to-Noise Ratios
Estimation of signal-to-noise ratios and noise variances in high-dimensi...
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02/03/2022
A deep complex network with multi-frame filtering for stereophonic acoustic echo cancellation
In hands-free communication system, the coupling between the loudspeaker...
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01/08/2022
Pseudo-labelling and Meta Reweighting Learning for Image Aesthetic Quality Assessment
In the tasks of image aesthetic quality evaluation, it is difficult to r...
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12/16/2021
EmotionBox: a music-element-driven emotional music generation system using Recurrent Neural Network
With the development of deep neural networks, automatic music compositio...
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12/09/2021
Noise-robust blind reverberation time estimation using noise-aware time-frequency masking
The reverberation time is one of the most important parameters used to c...
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12/08/2021
Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring
Column Generation (CG) is an effective method for solving large-scale op...
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09/01/2021
Embedding and Beamforming: All-neural Causal Beamformer for Multichannel Speech Enhancement
The spatial covariance matrix has been considered to be significant for ...
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08/14/2021
Focusing on Persons: Colorizing Old Images Learning from Modern Historical Movies
In industry, there exist plenty of scenarios where old gray photos need ...
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07/23/2021
Generating Large-scale Dynamic Optimization Problem Instances Using the Generalized Moving Peaks Benchmark
This document describes the generalized moving peaks benchmark (GMPB) an...
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07/22/2021
Linear Polytree Structural Equation Models: Structural Learning and Inverse Correlation Estimation
We are interested in the problem of learning the directed acyclic graph ...
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07/02/2021
Learning Primal Heuristics for Mixed Integer Programs
This paper proposes a novel primal heuristic for Mixed Integer Programs,...
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06/24/2021
A Simultaneous Denoising and Dereverberation Framework with Target Decoupling
Background noise and room reverberation are regarded as two major factor...
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06/22/2021
Glance and Gaze: A Collaborative Learning Framework for Single-channel Speech Enhancement
The capability of the human to pay attention to both coarse and fine-gra...
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06/22/2021
Learning to Inference with Early Exit in the Progressive Speech Enhancement
In real scenarios, it is often necessary and significant to control the ...
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02/08/2021
ICASSP 2021 Deep Noise Suppression Challenge: Decoupling Magnitude and Phase Optimization with a Two-Stage Deep Network
It remains a tough challenge to recover the speech signals contaminated ...
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12/19/2020
Confused Modulo Projection based Somewhat Homomorphic Encryption – Cryptosystem, Library and Applications on Secure Smart Cities
With the development of cloud computing, the storage and processing of m...
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12/18/2020
Instance Space Analysis for the Car Sequencing Problem
In this paper, we investigate an important research question in the car ...
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11/03/2020
Two Heads Are Better Than One: A Two-Stage Approach for Monaural Noise Reduction in the Complex Domain
In low signal-to-noise ratio conditions, it is difficult to effectively ...
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10/26/2020
Distributed Node-Specific Block-Diagonal LCMV Beamforming in Wireless Acoustic Sensor Networks
This paper derives the analytical solution of a novel distributed node-s...
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10/15/2020
A Deep Drift-Diffusion Model for Image Aesthetic Score Distribution Prediction
The task of aesthetic quality assessment is complicated due to its subje...
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07/29/2020
Boosting Ant Colony Optimization via Solution Prediction and Machine Learning
This paper introduces an enhanced meta-heuristic (ML-ACO) that combines ...
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06/13/2020
Dynamic Attention Based Generative Adversarial Network with Phase Post-Processing for Speech Enhancement
The generative adversarial networks (GANs) have facilitated the developm...
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05/12/2020
The IOA System for Deep Noise Suppression Challenge using a Framework Combining Dynamic Attention and Recursive Learning
This technical report describes our system that is submitted to the Deep...
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05/12/2020
Generalization of Machine Learning for Problem Reduction: A Case Study on Travelling Salesman Problems
Combinatorial optimization plays an important role in real-world problem...
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04/30/2020
Consistency of Spectral Clustering on Hierarchical Stochastic Block Models
We propose a generic network model, based on the Stochastic Block Model,...
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03/29/2020
Nonconvex Matrix Completion with Linearly Parameterized Factors
Techniques of matrix completion aim to impute a large portion of missing...
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03/29/2020
A Recursive Network with Dynamic Attention for Monaural Speech Enhancement
A person tends to generate dynamic attention towards speech under compli...
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03/22/2020
A Time-domain Monaural Speech Enhancement with Recursive Learning
In this paper, we propose a type of neural network with recursive learni...
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03/22/2020
Monaural Speech Enhancement with Recursive Learning in the Time Domain
In this paper, we propose a type of neural network with recursive learni...
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12/08/2019
A Supervised Speech enhancement Approach with Residual Noise Control for Voice Communication
For voice communication, it is important to extract the speech from its ...
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08/28/2019
Convolutional Recurrent Neural Network Based Progressive Learning for Monaural Speech Enhancement
Recently, progressive learning has shown its capacity of improving speec...
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07/11/2019
Aesthetic Attributes Assessment of Images
Image aesthetic quality assessment has been a relatively hot topic durin...
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07/08/2019
Facial Makeup Transfer Combining Illumination Transfer
To meet the women appearance needs, we present a novel virtual experienc...
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01/18/2019
Nonconvex Rectangular Matrix Completion via Gradient Descent without ℓ_2,∞ Regularization
The analysis of nonconvex matrix completion has recently attracted much ...
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09/30/2018
Convex Relaxation Methods for Community Detection
This paper surveys recent theoretical advances in convex optimization ap...
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11/06/2017
Memory-efficient Kernel PCA via Partial Matrix Sampling and Nonconvex Optimization: a Model-free Analysis of Local Minima
Kernel PCA is a widely used nonlinear dimension reduction technique in m...
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10/16/2017
When Do Birds of a Feather Flock Together? K-Means, Proximity, and Conic Programming
Given a set of data, one central goal is to group them into clusters bas...
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09/25/2017
3D Textured Model Encryption via 3D Lu Chaotic Mapping
In the coming Virtual/Augmented Reality (VR/AR) era, 3D contents will be...
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08/23/2017
Predicting Aesthetic Score Distribution through Cumulative Jensen-Shannon Divergence
Aesthetic quality prediction is a challenging task in the computer visio...
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08/23/2017
Single Reference Image based Scene Relighting via Material Guided Filtering
Image relighting is to change the illumination of an image to a target i...
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02/27/2017