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08/14/2023
Bayesian Inference of Phenotypic Plasticity of Cancer Cells Based on Dynamic Model for Temporal Cell Proportion Data
Mounting evidence underscores the prevalent hierarchical organization of...
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07/31/2023
A Pre-trained Data Deduplication Model based on Active Learning
In the era of big data, the issue of data quality has become increasingl...
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07/21/2023
Persistent Ballistic Entanglement Spreading with Optimal Control in Quantum Spin Chains
Entanglement propagation provides a key routine to understand quantum ma...
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06/14/2023
GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image
The extraordinary ability of generative models to generate photographic ...
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06/11/2023
Augmenting Greybox Fuzzing with Generative AI
Real-world programs expecting structured inputs often has a format-parsi...
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05/08/2023
Self-Repellent Random Walks on General Graphs – Achieving Minimal Sampling Variance via Nonlinear Markov Chains
We consider random walks on discrete state spaces, such as general undir...
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03/28/2023
Polar Coded Integrated Data and Energy Networking: A Deep Neural Network Assisted End-to-End Design
Wireless sensors are everywhere. To address their energy supply, we prop...
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03/26/2023
You Only Segment Once: Towards Real-Time Panoptic Segmentation
In this paper, we propose YOSO, a real-time panoptic segmentation framew...
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03/18/2023
EGTSyn: Edge-based Graph Transformer for Anti-Cancer Drug Combination Synergy Prediction
Combination therapy with multiple drugs is a potent therapy strategy for...
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03/13/2023
Bag of Tricks with Quantized Convolutional Neural Networks for image classification
Deep neural networks have been proven effective in a wide range of tasks...
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03/11/2023
A Geometric Statistic for Quantifying Correlation Between Tree-Shaped Datasets
The magnitude of Pearson correlation between two scalar random variables...
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12/15/2022
DCS-RISR: Dynamic Channel Splitting for Efficient Real-world Image Super-Resolution
Real-world image super-resolution (RISR) has received increased focus fo...
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11/06/2022
Prediction of superconducting properties of materials based on machine learning models
The application of superconducting materials is becoming more and more w...
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10/05/2022
Minimizing File Transfer Time in Opportunistic Spectrum Access Model
We study the file transfer problem in opportunistic spectrum access (OSA...
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09/30/2022
Rethinking skip connection model as a learnable Markov chain
Over past few years afterward the birth of ResNet, skip connection has b...
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09/15/2022
Efficiency Ordering of Stochastic Gradient Descent
We consider the stochastic gradient descent (SGD) algorithm driven by a ...
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08/08/2022
Deep Machine Learning Reconstructing Lattice Topology with Strong Thermal Fluctuations
Applying artificial intelligence to scientific problems (namely AI for s...
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06/11/2022
DRAformer: Differentially Reconstructed Attention Transformer for Time-Series Forecasting
Time-series forecasting plays an important role in many real-world scena...
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03/17/2022
Nearest Neighbor Classifier with Margin Penalty for Active Learning
As deep learning becomes the mainstream in the field of natural language...
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02/25/2022
Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting
Accurate traffic forecasting, the foundation of intelligent transportati...
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12/19/2021
Elastic-Link for Binarized Neural Network
Recent work has shown that Binarized Neural Networks (BNNs) are able to ...
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11/15/2021
Patent Data for Engineering Design: A Critical Review and Future Directions
Patent data have long been used for engineering design research because ...
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09/23/2021
Opportunistic Spectrum Access: Does Maximizing Throughput Minimize File Transfer Time?
The Opportunistic Spectrum Access (OSA) model has been developed for the...
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09/20/2021
Prediction of properties of metal alloy materials based on machine learning
Density functional theory and its optimization algorithm are the main me...
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09/19/2021
LODE: Deep Local Deblurring and A New Benchmark
While recent deep deblurring algorithms have achieved remarkable progres...
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09/13/2021
Regression Analysis of Correlations for Correlated Data
Correlated data are ubiquitous in today's data-driven society. A fundame...
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09/06/2021
Information Theory-Guided Heuristic Progressive Multi-View Coding
Multi-view representation learning captures comprehensive information fr...
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08/05/2021
Unifying Nonlocal Blocks for Neural Networks
The nonlocal-based blocks are designed for capturing long-range spatial-...
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06/27/2021
Deep Learning for Technical Document Classification
In large technology companies, the requirements for managing and organiz...
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06/06/2021
Predicting Quantum Potentials by Deep Neural Network and Metropolis Sampling
The hybridizations of machine learning and quantum physics have caused e...
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06/03/2021
Data-Driven Design-by-Analogy: State of the Art and Future Directions
Design-by-Analogy (DbA) is a design methodology wherein new solutions, o...
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05/09/2021
Exploiting Path Information for Anchor Based Graph Neural Network
Learning node representation that incorporating information from graph s...
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05/03/2021
ISTR: End-to-End Instance Segmentation with Transformers
End-to-end paradigms significantly improve the accuracy of various deep-...
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03/19/2021
Learning the Superpixel in a Non-iterative and Lifelong Manner
Superpixel is generated by automatically clustering pixels in an image i...
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03/02/2021
Image-to-image Translation via Hierarchical Style Disentanglement
Recently, image-to-image translation has made significant progress in ac...
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02/13/2021
Performance Analysis and Improvement on DSRC Application for V2V Communication
In this paper, we focus on the performance of vehicle-to-vehicle (V2V) c...
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06/21/2020
A Survey on Machine Reading Comprehension: Tasks, Evaluation Metrics, and Benchmark Datasets
Machine Reading Comprehension (MRC) is a challenging NLP research field ...
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05/29/2020
Energy Self-Sustainability in Full-Spectrum 6G
Full-spectrum ranging from sub 6 GHz to THz and visible light will be ex...
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04/21/2020
Robust Motion Averaging under MaximumCorrentropy Criterion
Recently, the motion averaging method has been introduced as an effectiv...
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03/30/2020
Architecture Disentanglement for Deep Neural Networks
Deep Neural Networks (DNNs) are central to deep learning, and understand...
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03/10/2020
A CNN-based Patent Image Retrieval Method for Design Ideation
The patent database is often used in searches of inspirational stimuli f...
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02/21/2020
H-AP Deployment for Joint Wireless Information and Energy Transfer in Smart Cities
With the wireless communication being more various in the future, it's b...
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01/28/2020
Interpretable Machine Learning Model for Early Prediction of Mortality in Elderly Patients with Multiple Organ Dysfunction Syndrome (MODS): a Multicenter Retrospective Study an
Background: Elderly patients with MODS have high risk of death and poor ...
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06/04/2019
Information Competing Process for Learning Diversified Representations
Learning representations with diversified information remains an open pr...
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04/29/2019
Attribute Guided Unpaired Image-to-Image Translation with Semi-supervised Learning
Unpaired Image-to-Image Translation (UIT) focuses on translating images ...
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04/16/2019
Suction Grasp Region Prediction using Self-supervised Learning for Object Picking in Dense Clutter
This paper focuses on robotic picking tasks in cluttered scenario. Becau...
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04/16/2019
Combining RGB and Points to Predict Grasping Region for Robotic Bin-Picking
This paper focuses on a robotic picking tasks in cluttered scenario. Bec...
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12/03/2018
Towards Visual Feature Translation
Most existing visual search systems are deployed based upon fixed kinds ...
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10/29/2018
Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks
While the use of bottom-up local operators in convolutional neural netwo...
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03/13/2018
