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08/24/2023
Try with Simpler – An Evaluation of Improved Principal Component Analysis in Log-based Anomaly Detection
The rapid growth of deep learning (DL) has spurred interest in enhancing...
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08/22/2023
Exploring Unsupervised Cell Recognition with Prior Self-activation Maps
The success of supervised deep learning models on cell recognition tasks...
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08/15/2023
AttMOT: Improving Multiple-Object Tracking by Introducing Auxiliary Pedestrian Attributes
Multi-object tracking (MOT) is a fundamental problem in computer vision ...
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08/08/2023
Cooperative Multi-agent Bandits: Distributed Algorithms with Optimal Individual Regret and Constant Communication Costs
Recently, there has been extensive study of cooperative multi-agent mult...
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07/10/2023
Legal Decision-making for Highway Automated Driving
Compliance with traffic laws is a fundamental requirement for human driv...
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06/25/2023
Masked conditional variational autoencoders for chromosome straightening
Karyotyping is of importance for detecting chromosomal aberrations in hu...
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06/19/2023
Least Square Value Iteration is Robust Under Locally Bounded Misspecification Error
The success of reinforcement learning heavily relies on the function app...
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06/15/2023
Low-Switching Policy Gradient with Exploration via Online Sensitivity Sampling
Policy optimization methods are powerful algorithms in Reinforcement Lea...
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06/14/2023
Semi-supervised Cell Recognition under Point Supervision
Cell recognition is a fundamental task in digital histopathology image a...
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05/24/2023
PathAsst: Redefining Pathology through Generative Foundation AI Assistant for Pathology
As advances in large language models (LLMs) and multimodal techniques co...
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04/25/2023
MEDNC: Multi-ensemble deep neural network for COVID-19 diagnosis
Coronavirus disease 2019 (COVID-19) has spread all over the world for th...
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03/15/2023
Task-specific Fine-tuning via Variational Information Bottleneck for Weakly-supervised Pathology Whole Slide Image Classification
While Multiple Instance Learning (MIL) has shown promising results in di...
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03/05/2023
Deformable Proposal-Aware P2PNet: A Universal Network for Cell Recognition under Point Supervision
Point-based cell recognition, which aims to localize and classify cells ...
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02/15/2023
On-Demand Communication for Asynchronous Multi-Agent Bandits
This paper studies a cooperative multi-agent multi-armed stochastic band...
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01/01/2023
Semantic Data Sourcing for 6G Edge Intelligence
As a new function of 6G networks, edge intelligence refers to the ubiqui...
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12/25/2022
3-D Markerless Tracking of Human Gait by Geometric Trilateration of Multiple Kinects
In this paper, we develop an integrated markerless gait tracking system ...
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12/25/2022
Evaluating and Improving the Depth Accuracy of Kinect for Windows v2
Microsoft Kinect sensor has been widely used in many applications since ...
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11/22/2022
The weak Galerkin finite element method for Stokes interface problems with curved interface
In this paper, we develop a new weak Galerkin finite element scheme for ...
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11/04/2022
GARNet: Global-Aware Multi-View 3D Reconstruction Network and the Cost-Performance Tradeoff
Deep learning technology has made great progress in multi-view 3D recons...
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10/14/2022
Unsupervised Dense Nuclei Detection and Segmentation with Prior Self-activation Map For Histology Images
The success of supervised deep learning models in medical image segmenta...
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10/14/2022
LeVoice ASR Systems for the ISCSLP 2022 Intelligent Cockpit Speech Recognition Challenge
This paper describes LeVoice automatic speech recognition systems to tra...
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10/05/2022
TC-SKNet with GridMask for Low-complexity Classification of Acoustic scene
Convolution neural networks (CNNs) have good performance in low-complexi...
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09/24/2022
From Local to Global: Spectral-Inspired Graph Neural Networks
Graph Neural Networks (GNNs) are powerful deep learning methods for Non-...
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09/24/2022
The Online Knapsack Problem with Departures
The online knapsack problem is a classic online resource allocation prob...
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07/24/2022
Adaptive Decision Making at the Intersection for Autonomous Vehicles Based on Skill Discovery
In urban environments, the complex and uncertain intersection scenarios ...
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07/01/2022
Constraining Model Uncertainty in Plasma Equation-of-State Models with a Physics-Constrained Gaussian Process
Equation-of-state (EOS) models underpin numerical simulations at the cor...
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07/01/2022
End-to-end cell recognition by point annotation
Reliable quantitative analysis of immunohistochemical staining images re...
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07/01/2022
ChrSNet: Chromosome Straightening using Self-attention Guided Networks
Karyotyping is an important procedure to assess the possible existence o...
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06/30/2022
Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology
When designing a diagnostic model for a clinical application, it is cruc...
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06/11/2022
Model-based Offline Imitation Learning with Non-expert Data
Although Behavioral Cloning (BC) in theory suffers compounding errors, i...
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05/05/2022
Invariant Content Synergistic Learning for Domain Generalization of Medical Image Segmentation
While achieving remarkable success for medical image segmentation, deep ...
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03/29/2022
Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis
Synthesizing a subject-specific pathology-free image from a pathological...
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03/19/2022
Mechanism, measurement, and quantification of stress in decision process: a model based systematic-review protocol
Every human action begins with decision-making. Stress is a significant ...
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02/27/2022
Weakly Supervised Learning for cell recognition in immunohistochemical cytoplasm staining images
Cell classification and counting in immunohistochemical cytoplasm staini...
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01/23/2022
Distributed Bandits with Heterogeneous Agents
This paper tackles a multi-agent bandit setting where M agents cooperate...
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12/31/2021
Modelling matrix time series via a tensor CP-decomposition
We propose to model matrix time series based on a tensor CP-decompositio...
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12/22/2021
Hybrid Curriculum Learning for Emotion Recognition in Conversation
Emotion recognition in conversation (ERC) aims to detect the emotion lab...
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11/27/2021
Online Speaker Diarization with Graph-based Label Generation
This paper introduces an online speaker diarization system that can hand...
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10/09/2021
Towards Lightweight Applications: Asymmetric Enroll-Verify Structure for Speaker Verification
With the development of deep learning, automatic speaker verification ha...
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09/05/2021
The DKU-DukeECE-Lenovo System for the Diarization Task of the 2021 VoxCeleb Speaker Recognition Challenge
This report describes the submission of the DKU-DukeECE-Lenovo team to t...
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08/24/2021
Image-based Insider Threat Detection via Geometric Transformation
Insider threat detection has been a challenging task over decades, exist...
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08/20/2021
A Quantitative Framework for Network Resilience Evaluation using Dynamic Bayesian Network
Measuring and evaluating network resilience has become an important aspe...
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07/10/2021
Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation
A large labeled dataset is a key to the success of supervised deep learn...
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07/06/2021
Generalizing Nucleus Recognition Model in Multi-source Images via Pruning
Ki67 is a significant biomarker in the diagnosis and prognosis of cancer...
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06/28/2021
Sparsely Overlapped Speech Training in the Time Domain: Joint Learning of Target Speech Separation and Personal VAD Benefits
Target speech separation is the process of filtering a certain speaker's...
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06/07/2021
High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning
We introduce a method based on deep metric learning to perform Bayesian ...
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04/29/2021
A comparative study of neural network techniques for automatic software vulnerability detection
Software vulnerabilities are usually caused by design flaws or implement...
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04/12/2021
Software-Hardware Co-design for Fast and Scalable Training of Deep Learning Recommendation Models
Deep learning recommendation models (DLRMs) are used across many busines...
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04/04/2021
TransfoRNN: Capturing the Sequential Information in Self-Attention Representations for Language Modeling
In this paper, we describe the use of recurrent neural networks to captu...
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02/06/2021