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09/17/2023
Study of the effects of external imaginary electric field and chiral chemical potential on quark matter
The behavior of quark matter with both external electric field and chira...
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08/31/2023
SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models
Current speech large language models build upon discrete speech represen...
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08/21/2023
MRI Field-transfer Reconstruction with Limited Data: Regularization by Neural Style Transfer
Recent works have demonstrated success in MRI reconstruction using deep ...
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08/08/2023
Real-time Strawberry Detection Based on Improved YOLOv5s Architecture for Robotic Harvesting in open-field environment
This study proposed a YOLOv5-based custom object detection model to dete...
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08/07/2023
Towards General Text Embeddings with Multi-stage Contrastive Learning
We present GTE, a general-purpose text embedding model trained with mult...
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08/02/2023
Particle swarm optimization with state-based adaptive velocity limit strategy
Velocity limit (VL) has been widely adopted in many variants of particle...
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08/01/2023
Artificial-Intelligence-Based Triple Phase Shift Modulation for Dual Active Bridge Converter with Minimized Current Stress
The dual active bridge (DAB) converter has been popular in many applicat...
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08/01/2023
Artificial-Intelligence-Based Hybrid Extended Phase Shift Modulation for the Dual Active Bridge Converter with Full ZVS Range and Optimal Efficiency
Dual active bridge (DAB) converter is the key enabler in many popular ap...
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07/31/2023
Towards Imbalanced Large Scale Multi-label Classification with Partially Annotated Labels
Multi-label classification is a widely encountered problem in daily life...
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07/30/2023
Data-Driven Modeling with Experimental Augmentation for the Modulation Strategy of the Dual-Active-Bridge Converter
For the performance modeling of power converters, the mainstream approac...
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07/25/2023
Holistic Exploration on Universal Decompositional Semantic Parsing: Architecture, Data Augmentation, and LLM Paradigm
In this paper, we conduct a holistic exploration of the Universal Decomp...
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07/22/2023
Collaborative Graph Neural Networks for Attributed Network Embedding
Graph neural networks (GNNs) have shown prominent performance on attribu...
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07/21/2023
Statistical analysis for a penalized EM algorithm in high-dimensional mixture linear regression model
The expectation-maximization (EM) algorithm and its variants are widely ...
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07/20/2023
PPN: Parallel Pointer-based Network for Key Information Extraction with Complex Layouts
Key Information Extraction (KIE) is a challenging multimodal task that a...
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07/19/2023
Joint Service Caching, Communication and Computing Resource Allocation in Collaborative MEC Systems: A DRL-based Two-timescale Approach
Meeting the strict Quality of Service (QoS) requirements of terminals ha...
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07/17/2023
URLLC in IRS-Aided MIMO Systems: Finite Blocklength Analysis and Design
This paper investigates the ultra reliable and low latency communication...
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07/12/2023
Early Autism Diagnosis based on Path Signature and Siamese Unsupervised Feature Compressor
Autism Spectrum Disorder (ASD) has been emerging as a growing public hea...
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06/27/2023
A generic self-supervised learning (SSL) framework for representation learning from spectra-spatial feature of unlabeled remote sensing imagery
Remote sensing data has been widely used for various Earth Observation (...
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06/25/2023
SHISRCNet: Super-resolution And Classification Network For Low-resolution Breast Cancer Histopathology Image
The rapid identification and accurate diagnosis of breast cancer, known ...
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06/23/2023
GICI-LIB: A GNSS/INS/Camera Integrated Navigation Library
Accurate navigation is essential for autonomous robots and vehicles. In ...
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06/21/2023
High-dimensional Tensor Response Regression using the t-Distribution
In recent years, promising statistical modeling approaches to tensor dat...
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06/13/2023
Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model
Text-to-image generative models have attracted rising attention for flex...
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05/30/2023
ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models
We study the domain adaptation problem with label shift in this work. Un...
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05/26/2023
GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks
Relation extraction (RE) tasks show promising performance in extracting ...
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05/18/2023
SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities
Multi-modal large language models are regarded as a crucial step towards...
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05/17/2023
DesignTracking: Track and Replay BIM-based Design Process
Among different phases of the life cycle of a building or facility, desi...
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05/09/2023
Active IRS-Aided MIMO Systems: How Much Gain Can We Get?
Intelligent reflecting surfaces (IRSs) have emerged as a promising techn...
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04/13/2023
Slicing-free Inverse Regression in High-dimensional Sufficient Dimension Reduction
Sliced inverse regression (SIR, Li 1991) is a pioneering work and the mo...
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04/06/2023
RFAConv: Innovating Spatital Attention and Standard Convolutional Operation
Spatial attention has been demonstrated to enable convolutional neural n...
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04/03/2023
D-Score: A White-Box Diagnosis Score for CNNs Based on Mutation Operators
Convolutional neural networks (CNNs) have been widely applied in many sa...
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04/01/2023
Fundamental Limits of Holographic MIMO Channels: Tackling Non-Separable Transceiver Correlation
Holographic MIMO communication was proposed to sufficiently exploit the ...
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03/29/2023
LMDA-Net:A lightweight multi-dimensional attention network for general EEG-based brain-computer interface paradigms and interpretability
EEG-based recognition of activities and states involves the use of prior...
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03/26/2023
A Heterogeneous Parallel Non-von Neumann Architecture System for Accurate and Efficient Machine Learning Molecular Dynamics
This paper proposes a special-purpose system to achieve high-accuracy an...
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03/23/2023
Bayesian Reconstruction of Magnetic Resonance Images using Gaussian Processes
A central goal of modern magnetic resonance imaging (MRI) is to reduce t...
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03/22/2023
Distribution-restrained Softmax Loss for the Model Robustness
Recently, the robustness of deep learning models has received widespread...
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03/20/2023
Machine Learning Automated Approach for Enormous Synchrotron X-Ray Diffraction Data Interpretation
Manual analysis of XRD data is usually laborious and time consuming. The...
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03/15/2023
Design, Modeling, and Redundancy Resolution of Soft Robot for Effective Harvesting
Blackberry harvesting is a labor-intensive and costly process, consuming...
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03/15/2023
Co-Occurrence Matters: Learning Action Relation for Temporal Action Localization
Temporal action localization (TAL) is a prevailing task due to its great...
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03/05/2023
PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities
Recently, min-max optimization problems have received increasing attenti...
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02/25/2023
Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Prediction
Monitoring sustainable development goals requires accurate and timely so...
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02/20/2023
Zero-Shot Information Extraction via Chatting with ChatGPT
Zero-shot information extraction (IE) aims to build IE systems from the ...
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02/17/2023
sMRI-PatchNet: A novel explainable patch-based deep learning network for Alzheimer's disease diagnosis and discriminative atrophy localisation with Structural MRI
Structural magnetic resonance imaging (sMRI) can identify subtle brain c...
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02/13/2023
Robust Extrinsic Self-Calibration of Camera and Solid State LiDAR
This letter proposes an extrinsic calibration approach for a pair of mon...
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01/27/2023
Secrecy Analysis for MISO Broadcast Systems with Regularized Zero-Forcing Precoding
As an effective way to enhance the physical layer security (PLS) for the...
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01/18/2023
How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection
The introduction of ChatGPT has garnered widespread attention in both ac...
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12/23/2022
Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection
Graph neural networks (GNNs) have received remarkable success in link pr...
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12/16/2022
Weakly Supervised Video Anomaly Detection Based on Cross-Batch Clustering Guidance
Weakly supervised video anomaly detection (WSVAD) is a challenging task ...
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11/04/2022
Stutter-TTS: Controlled Synthesis and Improved Recognition of Stuttered Speech
Stuttering is a speech disorder where the natural flow of speech is inte...
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10/24/2022
An Effective Approach for Multi-label Classification with Missing Labels
Compared with multi-class classification, multi-label classification tha...
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10/24/2022