research
∙
09/12/2023
On Regularized Sparse Logistic Regression
Sparse logistic regression aims to perform classification and feature se...
share
research
∙
07/28/2023
Uncertainty-aware Unsupervised Multi-Object Tracking
Without manually annotated identities, unsupervised multi-object tracker...
research
∙
04/29/2023
Physics-Guided Graph Neural Networks for Real-time AC/DC Power Flow Analysis
The increasing scale of alternating current and direct current (AC/DC) h...
research
∙
03/23/2023
Pyramid Multi-branch Fusion DCNN with Multi-Head Self-Attention for Mandarin Speech Recognition
As one of the major branches of automatic speech recognition, attention-...
research
∙
03/09/2023
X-SepFormer: End-to-end Speaker Extraction Network with Explicit Optimization on Speaker Confusion
Target speech extraction (TSE) systems are designed to extract target sp...
research
∙
03/07/2023
Adaptive Weighted Multiview Kernel Matrix Factorization with its application in Alzheimer's Disease Analysis – A clustering Perspective
Recent technology and equipment advancements provide with us opportuniti...
research
∙
02/19/2023
EdgeVO: An Efficient and Accurate Edge-based Visual Odometry
Visual odometry is important for plenty of applications such as autonomo...
research
∙
01/25/2023
A Provable Splitting Approach for Symmetric Nonnegative Matrix Factorization
The symmetric Nonnegative Matrix Factorization (NMF), a special but impo...
research
∙
01/16/2023
Improving Target Speaker Extraction with Sparse LDA-transformed Speaker Embeddings
As a practical alternative of speech separation, target speaker extracti...
research
∙
01/07/2023
Randomized Greedy Algorithms and Composable Coreset for k-Center Clustering with Outliers
In this paper, we study the problem of k-center clustering with outliers...
research
∙
01/06/2023
Deep Biological Pathway Informed Pathology-Genomic Multimodal Survival Prediction
The integration of multi-modal data, such as pathological images and gen...
research
∙
01/04/2023
Multi-Task Learning with Prior Information
Multi-task learning aims to boost the generalization performance of mult...
research
∙
10/31/2022
Enabling Digital Twin in Vehicular Edge Computing: A Multi-Agent Multi-Objective Deep Reinforcement Learning Solution
With recent advances in sensing technologies, wireless communications, a...
research
∙
10/07/2022
KAST: Knowledge Aware Adaptive Session Multi-Topic Network for Click-Through Rate Prediction
Capturing the evolving trends of user interest is important for both rec...
research
∙
09/26/2022
Joint Task Offloading and Resource Optimization in NOMA-based Vehicular Edge Computing: A Game-Theoretic DRL Approach
Vehicular edge computing (VEC) becomes a promising paradigm for the deve...
research
∙
09/26/2022
Randomized Rank-Revealing QLP for Low-Rank Matrix Decomposition
The pivoted QLP decomposition is computed through two consecutive pivote...
research
∙
09/25/2022
Cooperative Sensing and Heterogeneous Information Fusion in VCPS: A Multi-agent Deep Reinforcement Learning Approach
Cooperative sensing and heterogeneous information fusion are critical to...
research
∙
09/24/2022
Joint Speech Activity and Overlap Detection with Multi-Exit Architecture
Overlapped speech detection (OSD) is critical for speech applications in...
research
∙
09/24/2022
Speech Enhancement with Perceptually-motivated Optimization and Dual Transformations
To address the monaural speech enhancement problem, numerous research st...
research
∙
09/06/2022
Rethinking Symmetric Matrix Factorization: A More General and Better Clustering Perspective
Nonnegative matrix factorization (NMF) is widely used for clustering wit...
research
∙
08/19/2022
CohortVA: A Visual Analytic System for Interactive Exploration of Cohorts based on Historical Data
In history research, cohort analysis seeks to identify social structures...
research
∙
08/07/2022
Maximum Correntropy Value Decomposition for Multi-agent Deep Reinforcemen Learning
We explore value decomposition solutions for multi-agent deep reinforcem...
research
∙
07/31/2022
Age of View: A New Metric for Evaluating Heterogeneous Information Fusion in Vehicular Cyber-Physical Systems
Heterogeneous information fusion is one of the most critical issues for ...
research
∙
07/01/2022
Weakly-supervised High-fidelity Ultrasound Video Synthesis with Feature Decoupling
Ultrasound (US) is widely used for its advantages of real-time imaging, ...
research
∙
06/04/2022
Occlusion-Resistant Instance Segmentation of Piglets in Farrowing Pens Using Center Clustering Network
Computer vision enables the development of new approaches to monitor the...
research
∙
05/21/2022
Enriched Robust Multi-View Kernel Subspace Clustering
Subspace clustering is to find underlying low-dimensional subspaces and ...
research
∙
04/10/2022
A review of knowledge graph application scenarios in cyber security
Facing the dynamic complex cyber environments, internal and external cyb...
research
∙
03/25/2022
MKQ-BERT: Quantized BERT with 4-bits Weights and Activations
Recently, pre-trained Transformer based language models, such as BERT, h...
research
∙
03/19/2022
Exploring the impact of spatiotemporal granularity on the demand prediction of dynamic ride-hailing
Dynamic demand prediction is a key issue in ride-hailing dispatching. Ma...
research
∙
03/12/2022
Joint CNN and Transformer Network via weakly supervised Learning for efficient crowd counting
Currently, for crowd counting, the fully supervised methods via density ...
research
∙
03/08/2022
Dynamic Group Transformer: A General Vision Transformer Backbone with Dynamic Group Attention
Recently, Transformers have shown promising performance in various visio...
research
∙
11/29/2021
Spherical Matrix Factorization
Matrix Factorization plays an important role in machine learning such as...
research
∙
11/23/2021
Robust Principal Component Analysis: A Construction Error Minimization Perspective
In this paper we propose a novel optimization framework to systematicall...
research
∙
03/14/2021
Exact Sparse Orthogonal Dictionary Learning
Over the past decade, learning a dictionary from input images for sparse...
research
∙
11/25/2020
RRCN: A Reinforced Random Convolutional Network based Reciprocal Recommendation Approach for Online Dating
Recently, the reciprocal recommendation, especially for online dating ap...
research
∙
10/16/2020
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering
In open-domain question answering, dense passage retrieval has become a ...
research
∙
05/23/2020
Vehicular Fog Computing Enabled Real-time Collision Warning via Trajectory Calibration
Vehicular fog computing (VFC) has been envisioned as a promising paradig...
research
∙
05/11/2020
Multi-band MelGAN: Faster Waveform Generation for High-Quality Text-to-Speech
In this paper, we propose multi-band MelGAN, a much faster waveform gene...
research
∙
11/12/2019
Incentivized Exploration for Multi-Armed Bandits under Reward Drift
We study incentivized exploration for the multi-armed bandit (MAB) probl...
research
∙
07/09/2019
Gated Multiple Feedback Network for Image Super-Resolution
The rapid development of deep learning (DL) has driven single image supe...
research
∙
03/16/2019
Spherical Principal Component Analysis
Principal Component Analysis (PCA) is one of the most important methods ...
research
∙
03/04/2019
Early Detection of Influenza outbreaks in the United States
Public health surveillance systems often fail to detect emerging infecti...
research
∙
11/14/2018
Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization
Symmetric nonnegative matrix factorization (NMF), a special but importan...
research
∙
11/11/2018
Deep Item-based Collaborative Filtering for Top-N Recommendation
Item-based Collaborative Filtering(short for ICF) has been widely adopte...
research
∙
06/10/2018
Adaptations of ROUGE and BLEU to Better Evaluate Machine Reading Comprehension Task
Current evaluation metrics to question answering based machine reading c...
research
∙
05/21/2018
VPH+ and MPC Combined Collision Avoidance for Unmanned Ground Vehicle in Unknown Environment
There are many situations for which an unmanned ground vehicle has to wo...
research
∙
05/06/2018
Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification
Machine reading comprehension (MRC) on real web data usually requires th...
research
∙
04/21/2018
Spatial Image Steganography Based on Generative Adversarial Network
With the recent development of deep learning on steganalysis, embedding ...
research
∙
01/30/2018
Asymptotic Analysis for Low-Resolution Massive MIMO Systems with MMSE Receiver
The uplink achievable rate of massive multiple- input-multiple-output (M...
research
∙
11/14/2017