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08/19/2023
ILCAS: Imitation Learning-Based Configuration-Adaptive Streaming for Live Video Analytics with Cross-Camera Collaboration
The high-accuracy and resource-intensive deep neural networks (DNNs) hav...
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08/15/2023
Understanding User Behavior in Volumetric Video Watching: Dataset, Analysis and Prediction
Volumetric video emerges as a new attractive video paradigm in recent ye...
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08/13/2023
A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations
Modern deep neural networks, particularly recent large language models, ...
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08/13/2023
Influence Function Based Second-Order Channel Pruning-Evaluating True Loss Changes For Pruning Is Possible Without Retraining
A challenge of channel pruning is designing efficient and effective crit...
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06/05/2023
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data
Graph condensation, which reduces the size of a large-scale graph by syn...
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05/23/2023
Physics-Assisted Reduced-Order Modeling for Identifying Dominant Features of Transonic Buffet
Transonic buffet is a flow instability phenomenon that arises from the i...
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05/14/2023
SCRNet: a Retinex Structure-based Low-light Enhancement Model Guided by Spatial Consistency
Images captured under low-light conditions are often plagued by several ...
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03/06/2023
Knowledge-embedded meta-learning model for lift coefficient prediction of airfoils
Aerodynamic performance evaluation is an important part of the aircraft ...
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02/24/2023
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation – Extended Version
Due to the sweeping digitalization of processes, increasingly vast amoun...
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02/23/2023
Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs
Graph neural architecture search (NAS) has gained popularity in automati...
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12/08/2022
AutoPINN: When AutoML Meets Physics-Informed Neural Networks
Physics-Informed Neural Networks (PINNs) have recently been proposed to ...
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11/29/2022
Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting
Sensors in cyber-physical systems often capture interconnected processes...
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11/16/2022
Fair contrastive pre-training for geographic images
Contrastive representation learning is widely employed in visual recogni...
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10/09/2022
SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters
Adapter Tuning, which freezes the pretrained language models (PLMs) and ...
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06/21/2022
FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity
Federated Learning (FL) enables training a global model without sharing ...
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05/05/2022
Soft and Hard Constrained Parametric Generative Schemes for Encoding and Synthesizing Airfoils
Traditional airfoil parametric technique has significant limitation in m...
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04/09/2022
Segmenting across places: The need for fair transfer learning with satellite imagery
The increasing availability of high-resolution satellite imagery has ena...
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02/14/2022
Graph Neural Networks for Graphs with Heterophily: A Survey
Recent years have witnessed fast developments of graph neural networks (...
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12/03/2021
MFNet: Multi-filter Directive Network for Weakly Supervised Salient Object Detection
Weakly supervised salient object detection (WSOD) targets to train a CNN...
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11/25/2021
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule
Differentiable Architecture Search (DARTS) has received massive attentio...
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10/30/2021
MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning
In visual recognition tasks, few-shot learning requires the ability to l...
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10/08/2021
Accelerating Multi-Objective Neural Architecture Search by Random-Weight Evaluation
For the goal of automated design of high-performance deep convolutional ...
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09/04/2021
To be Critical: Self-Calibrated Weakly Supervised Learning for Salient Object Detection
Weakly-supervised salient object detection (WSOD) aims to develop salien...
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06/24/2021
Handling Data Heterogeneity with Generative Replay in Collaborative Learning for Medical Imaging
Collaborative learning, which enables collaborative and decentralized tr...
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06/22/2021
Differentiable Architecture Search Without Training Nor Labels: A Pruning Perspective
With leveraging the weight-sharing and continuous relaxation to enable g...
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04/13/2021
Learning Multi-modal Information for Robust Light Field Depth Estimation
Light field data has been demonstrated to facilitate the depth estimatio...
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04/13/2021
Dynamic Fusion Network For Light Field Depth Estimation
Focus based methods have shown promising results for the task of depth e...
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03/31/2021
Iteration complexity analysis of a partial LQP-based alternating direction method of multipliers
In this paper, we consider a prototypical convex optimization problem wi...
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03/17/2021
An Integration Test Order Strategy to Consider Control Coupling
Integration testing is a very important step in software testing. Existi...
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03/12/2021
A Multi-Modal Transformer-based Code Summarization Approach for Smart Contracts
Code comment has been an important part of computer programs, greatly fa...
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01/05/2021
Exploiting Deep Learning for Secure Transmission in an Underlay Cognitive Radio Network
This paper investigates a machine learning-based power allocation design...
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12/30/2020
DUT-LFSaliency: Versatile Dataset and Light Field-to-RGB Saliency Detection
Light field data exhibit favorable characteristics conducive to saliency...
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12/20/2020
Measurement bias: a structural perspective
The causal structure for measurement bias (MB) remains controversial. Ai...
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10/19/2020
The Detection of Thoracic Abnormalities ChestX-Det10 Challenge Results
The detection of thoracic abnormalities challenge is organized by the De...
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07/23/2020
Accurate RGB-D Salient Object Detection via Collaborative Learning
Benefiting from the spatial cues embedded in depth images, recent progre...
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06/02/2020
Real-time Earthquake Early Warning with Deep Learning: Application to the 2016 Central Apennines, Italy Earthquake Sequence
Earthquake early warning systems are required to report earthquake locat...
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04/22/2020
Multi-Domain Learning and Identity Mining for Vehicle Re-Identification
This paper introduces our solution for the Track2 in AI City Challenge 2...
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03/04/2020
Resource Allocation Technique for Hybrid TDMA-NOMA System with Opportunistic Time Assignment
In this paper, we develop a resource allocation technique for a hybrid t...
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08/30/2019
Energy Efficiency Optimization for Secure Transmission in MISO Cognitive Radio Network with Energy Harvesting
In this paper, we investigate different secrecy energy efficiency (SEE) ...
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07/22/2019
Efficient Novelty-Driven Neural Architecture Search
One-Shot Neural architecture search (NAS) attracts broad attention recen...
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07/21/2019
High Dimensional Bayesian Optimization via Supervised Dimension Reduction
Bayesian optimization (BO) has been broadly applied to computational exp...
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01/02/2019
Multi-level CNN for lung nodule classification with Gaussian Process assisted hyperparameter optimization
This paper investigates lung nodule classification by using deep neural ...
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01/02/2019
Ancient Painting to Natural Image: A New Solution for Painting Processing
Collecting a large-scale and well-annotated dataset for image processing...
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09/12/2018
Robust Beamforming for AN Aided MISO SWIPT System with Unknown Eavesdroppers and Non-linear EH Model
This work studies a beamforming design for downlink transmission of a mu...
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11/15/2017
Human and Machine Speaker Recognition Based on Short Trivial Events
Trivial events are ubiquitous in human to human conversations, e.g., cou...
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06/22/2017
Speaker Recognition with Cough, Laugh and "Wei"
This paper proposes a speaker recognition (SRE) task with trivial speech...
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02/24/2017