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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...
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09/11/2023
Fully-Connected Spatial-Temporal Graph for Multivariate Time Series Data
Multivariate Time-Series (MTS) data is crucial in various application fi...
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09/11/2023
Graph Contextual Contrasting for Multivariate Time Series Classification
Contrastive learning, as a self-supervised learning paradigm, becomes po...
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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...
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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...
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08/18/2023
Unlimited Knowledge Distillation for Action Recognition in the Dark
Dark videos often lose essential information, which causes the knowledge...
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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...
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07/13/2023
AutoHint: Automatic Prompt Optimization with Hint Generation
This paper presents AutoHint, a novel framework for automatic prompt eng...
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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...
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07/06/2023
Revisiting Computer-Aided Tuberculosis Diagnosis
Tuberculosis (TB) is a major global health threat, causing millions of d...
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06/29/2023
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective
Feature transformation aims to reconstruct an effective representation s...
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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-...
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06/09/2023
Incorporating Prior Knowledge in Deep Learning Models via Pathway Activity Autoencoders
Motivation: Despite advances in the computational analysis of high-throu...
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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...
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04/10/2023
ECG-CL: A Comprehensive Electrocardiogram Interpretation Method Based on Continual Learning
Electrocardiogram (ECG) monitoring is one of the most powerful technique...
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03/23/2023
Soy: An Efficient MILP Solver for Piecewise-Affine Systems
Piecewise-affine (PWA) systems are widely used for modeling and control ...
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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...
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03/04/2023
MetaGrad: Adaptive Gradient Quantization with Hypernetworks
A popular track of network compression approach is Quantization aware Tr...
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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...
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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...
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12/27/2022
Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents
Feature transformation for AI is an essential task to boost the effectiv...
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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...
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12/03/2022
CoTMix: Contrastive Domain Adaptation for Time-Series via Temporal Mixup
Unsupervised Domain Adaptation (UDA) has emerged as a powerful solution ...
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12/02/2022
VeriX: Towards Verified Explainability of Deep Neural Networks
We present VeriX, a first step towards verified explainability of machin...
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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...
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09/16/2022
Self-Optimizing Feature Transformation
Feature transformation aims to extract a good representation (feature) s...
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08/30/2022
SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance
Ad relevance modeling plays a critical role in online advertising system...
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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...
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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...
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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....
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06/15/2022
Nebula Graph: An open source distributed graph database
This paper introduces the recent work of Nebula Graph, an open-source, d...
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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 ...
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04/25/2022
Real-time Speech Emotion Recognition Based on Syllable-Level Feature Extraction
Speech emotion recognition systems have high prediction latency because ...
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04/14/2022
RadioSES: mmWave-Based Audioradio Speech Enhancement and Separation System
Speech enhancement and separation have been a long-standing problem, esp...
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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...
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03/22/2022
Root-aligned SMILES for Molecular Retrosynthesis Prediction
Retrosynthesis prediction is a fundamental problem in organic synthesis,...
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03/15/2022
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data
Unsupervised domain adaptation methods aim to generalize well on unlabel...
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03/01/2022
Separable-HoverNet and Instance-YOLO for Colon Nuclei Identification and Counting
Nuclear segmentation, classification and quantification within Haematoxy...
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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...
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12/30/2021
Motif Graph Neural Network
Graphs can model complicated interactions between entities, which natura...
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11/29/2021
Self-supervised Autoregressive Domain Adaptation for Time Series Data
Unsupervised domain adaptation (UDA) has successfully addressed the doma...
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09/21/2021
Multi-Source Video Domain Adaptation with Temporal Attentive Moment Alignment
Multi-Source Domain Adaptation (MSDA) is a more practical domain adaptat...
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07/11/2021
Remote Blood Oxygen Estimation From Videos Using Neural Networks
Blood oxygen saturation (SpO_2) is an essential indicator of respiratory...
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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...
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06/26/2021
Time-Series Representation Learning via Temporal and Contextual Contrasting
Learning decent representations from unlabeled time-series data with tem...
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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...
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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...
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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...
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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...
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07/20/2020