b'Min Wu'

research

∙ 09/21/2023

Information Forensics and Security: A quarter-century-long journey

Information Forensics and Security (IFS) is an active R D area whose g...

0 Mauro Barni, et al. ∙

research

∙ 09/11/2023

Fully-Connected Spatial-Temporal Graph for Multivariate Time Series Data

Multivariate Time-Series (MTS) data is crucial in various application fi...

0 Yucheng Wang, et al. ∙

research

∙ 09/11/2023

Graph Contextual Contrasting for Multivariate Time Series Classification

Contrastive learning, as a self-supervised learning paradigm, becomes po...

0 Yucheng Wang, et al. ∙

research

∙ 09/04/2023

Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation

The objective of topic inference in research proposals aims to obtain th...

0 Meng Xiao, et al. ∙

research

∙ 08/21/2023

Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks

In this paper, we propose a novel layer-adaptive weight-pruning approach...

0 Kaixin Xu, et al. ∙

research

∙ 08/18/2023

Unlimited Knowledge Distillation for Action Recognition in the Dark

Dark videos often lose essential information, which causes the knowledge...

0 Ruibing Jin, et al. ∙

research

∙ 07/14/2023

Source-Free Domain Adaptation with Temporal Imputation for Time Series Data

Source-free domain adaptation (SFDA) aims to adapt a pretrained model fr...

0 Mohamed Ragab, et al. ∙

research

∙ 07/13/2023

AutoHint: Automatic Prompt Optimization with Hint Generation

This paper presents AutoHint, a novel framework for automatic prompt eng...

0 Hong Sun, et al. ∙

research

∙ 07/07/2023

Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data

For many real-world time series tasks, the computational complexity of p...

0 Qing Xu, et al. ∙

research

∙ 07/06/2023

Revisiting Computer-Aided Tuberculosis Diagnosis

Tuberculosis (TB) is a major global health threat, causing millions of d...

0 Yun Liu, et al. ∙

research

∙ 06/29/2023

Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective

Feature transformation aims to reconstruct an effective representation s...

0 Meng Xiao, et al. ∙

research

∙ 06/28/2023

A Cascaded Approach for ultraly High Performance Lesion Detection and False Positive Removal in Liver CT Scans

Liver cancer has high morbidity and mortality rates in the world. Multi-...

0 Fakai Wang, et al. ∙

research

∙ 06/09/2023

Incorporating Prior Knowledge in Deep Learning Models via Pathway Activity Autoencoders

Motivation: Despite advances in the computational analysis of high-throu...

0 Pedro Henrique da Costa Avelar, et al. ∙

research

∙ 04/12/2023

Adaptive Gated Graph Convolutional Network for Explainable Diagnosis of Alzheimer's Disease using EEG Data

Graph neural network (GNN) models are increasingly being used for the cl...

0 Dominik Klepl, et al. ∙

research

∙ 04/10/2023

ECG-CL: A Comprehensive Electrocardiogram Interpretation Method Based on Continual Learning

Electrocardiogram (ECG) monitoring is one of the most powerful technique...

0 Hongxiang Gao, et al. ∙

research

∙ 03/23/2023

Soy: An Efficient MILP Solver for Piecewise-Affine Systems

Piecewise-affine (PWA) systems are widely used for modeling and control ...

0 Haoze Wu, et al. ∙

research

∙ 03/18/2023

Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation

For video models to be transferred and applied seamlessly across video t...

0 Yuecong Xu, et al. ∙

research

∙ 03/04/2023

MetaGrad: Adaptive Gradient Quantization with Hypernetworks

A popular track of network compression approach is Quantization aware Tr...

0 Kaixin Xu, et al. ∙

research

∙ 03/03/2023

Convex Bounds on the Softmax Function with Applications to Robustness Verification

The softmax function is a ubiquitous component at the output of neural n...

0 Dennis Wei, et al. ∙

research

∙ 02/13/2023

Label-efficient Time Series Representation Learning: A Review

The scarcity of labeled data is one of the main challenges of applying d...

0 Emadeldeen Eldele, et al. ∙

research

∙ 12/27/2022

Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents

Feature transformation for AI is an essential task to boost the effectiv...

0 Meng Xiao, et al. ∙

research

∙ 12/14/2022

On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach

Explainability of Graph Neural Networks (GNNs) is critical to various GN...

0 Ruichu Cai, et al. ∙

research

∙ 12/03/2022

CoTMix: Contrastive Domain Adaptation for Time-Series via Temporal Mixup

Unsupervised Domain Adaptation (UDA) has emerged as a powerful solution ...

0 Emadeldeen Eldele, et al. ∙

research

∙ 12/02/2022

VeriX: Towards Verified Explainability of Deep Neural Networks

We present VeriX, a first step towards verified explainability of machin...

0 Min Wu, et al. ∙

research

∙ 09/28/2022

Hierarchical MixUp Multi-label Classification with Imbalanced Interdisciplinary Research Proposals

Funding agencies are largely relied on a topic matching between domain e...

10 Meng Xiao, et al. ∙

research

∙ 09/16/2022

Self-Optimizing Feature Transformation

Feature transformation aims to extract a good representation (feature) s...

6 Meng Xiao, et al. ∙

research

∙ 08/30/2022

SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance

Ad relevance modeling plays a critical role in online advertising system...

6 Li Lyna Zhang, et al. ∙

research

∙ 08/13/2022

Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification

Learning time-series representations when only unlabeled data or few lab...

0 Emadeldeen Eldele, et al. ∙

research

∙ 08/10/2022

EXTERN: Leveraging Endo-Temporal Regularization for Black-box Video Domain Adaptation

To enable video models to be applied seamlessly across video tasks in di...

0 Yuecong Xu, et al. ∙

research

∙ 06/21/2022

Multi-Omic Data Integration and Feature Selection for Survival-based Patient Stratification via Supervised Concrete Autoencoders

Cancer is a complex disease with significant social and economic impact....

0 Pedro Henrique da Costa Avelar, et al. ∙

research

∙ 06/15/2022

Nebula Graph: An open source distributed graph database

This paper introduces the recent work of Nebula Graph, an open-source, d...

0 Min Wu, et al. ∙

research

∙ 05/08/2022

A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges

Artificial Intelligence (AI) is a fast-growing research and development ...

0 Zhenghua Chen, et al. ∙

research

∙ 04/25/2022

Real-time Speech Emotion Recognition Based on Syllable-Level Feature Extraction

Speech emotion recognition systems have high prediction latency because ...

0 Abdul Rehman, et al. ∙

research

∙ 04/14/2022

RadioSES: mmWave-Based Audioradio Speech Enhancement and Separation System

Speech enhancement and separation have been a long-standing problem, esp...

0 Muhammed Zahid Ozturk, et al. ∙

research

∙ 04/13/2022

WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma

Lung cancer is the leading cause of cancer death worldwide, and adenocar...

1 Chu Han, et al. ∙

research

∙ 03/22/2022

Root-aligned SMILES for Molecular Retrosynthesis Prediction

Retrosynthesis prediction is a fundamental problem in organic synthesis,...

0 Zipeng Zhong, et al. ∙

research

∙ 03/15/2022

ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data

Unsupervised domain adaptation methods aim to generalize well on unlabel...

0 Mohamed Ragab, et al. ∙

research

∙ 03/01/2022

Separable-HoverNet and Instance-YOLO for Colon Nuclei Identification and Counting

Nuclear segmentation, classification and quantification within Haematoxy...

0 Chunhui Lin, et al. ∙

research

∙ 01/05/2022

Lumbar Bone Mineral Density Estimation from Chest X-ray Images: Anatomy-aware Attentive Multi-ROI Modeling

Osteoporosis is a common chronic metabolic bone disease that is often un...

0 Fakai Wang, et al. ∙

research

∙ 12/30/2021

Motif Graph Neural Network

Graphs can model complicated interactions between entities, which natura...

0 Xuexin Chen, et al. ∙

research

∙ 11/29/2021

Self-supervised Autoregressive Domain Adaptation for Time Series Data

Unsupervised domain adaptation (UDA) has successfully addressed the doma...

0 Mohamed Ragab, et al. ∙

research

∙ 09/21/2021

Multi-Source Video Domain Adaptation with Temporal Attentive Moment Alignment

Multi-Source Domain Adaptation (MSDA) is a more practical domain adaptat...

7 Yuecong Xu, et al. ∙

research

∙ 07/11/2021

Remote Blood Oxygen Estimation From Videos Using Neural Networks

Blood oxygen saturation (SpO_2) is an essential indicator of respiratory...

0 Joshua Mathew, et al. ∙

research

∙ 07/09/2021

Adversarial Domain Adaptation with Self-Training for EEG-based Sleep Stage Classification

Sleep staging is of great importance in the diagnosis and treatment of s...

0 Emadeldeen Eldele, et al. ∙

research

∙ 06/26/2021

Time-Series Representation Learning via Temporal and Contextual Contrasting

Learning decent representations from unlabeled time-series data with tem...

0 Emadeldeen Eldele, et al. ∙

research

∙ 04/05/2021

Opportunistic Screening of Osteoporosis Using Plain Film Chest X-ray

Osteoporosis is a common chronic metabolic bone disease that is often un...

0 Fakai Wang, et al. ∙

research

∙ 02/19/2021

Characterising Alzheimer's Disease with EEG-based Energy Landscape Analysis

Alzheimer's disease (AD) is one of the most common neurodegenerative dis...

0 Dominik Klepl, et al. ∙

research

∙ 12/14/2020

Automatic Vertebra Localization and Identification in CT by Spine Rectification and Anatomically-constrained Optimization

Accurate vertebra localization and identification are required in many c...

0 Fakai Wang, et al. ∙

research

∙ 10/01/2020

Assessing Robustness of Text Classification through Maximal Safe Radius Computation

Neural network NLP models are vulnerable to small modifications of the i...

11 Emanuele La Malfa, et al. ∙

research

∙ 07/20/2020

Attention Sequence to Sequence Model for Machine Remaining Useful Life Prediction

Accurate estimation of remaining useful life (RUL) of industrial equipme...

18 Mohamed Ragab, et al. ∙

Min Wu

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