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08/31/2023
Improving Multiple Sclerosis Lesion Segmentation Across Clinical Sites: A Federated Learning Approach with Noise-Resilient Training
Accurately measuring the evolution of Multiple Sclerosis (MS) with magne...
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08/18/2023
A hybrid Decoder-DeepONet operator regression framework for unaligned observation data
Deep neural operators (DNOs) have been utilized to approximate nonlinear...
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07/19/2023
Are We Ready to Embrace Generative AI for Software Q A?
Stack Overflow, the world's largest software Q A (SQA) website, is fac...
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07/04/2022
VECtor: A Versatile Event-Centric Benchmark for Multi-Sensor SLAM
Event cameras have recently gained in popularity as they hold strong pot...
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07/04/2022
Accurate Instance-Level CAD Model Retrieval in a Large-Scale Database
We present a new solution to the fine-grained retrieval of clean CAD mod...
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05/03/2022
MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning
Federated learning (FL) has been widely employed for medical image analy...
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03/30/2022
DELTA: Dynamically Optimizing GPU Memory beyond Tensor Recomputation
The further development of deep neural networks is hampered by the limit...
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09/27/2021
HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting
The crime forecasting is an important problem as it greatly contributes ...
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04/08/2021
Open Domain Generalization with Domain-Augmented Meta-Learning
Leveraging datasets available to learn a model with high generalization ...
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09/17/2019
Course Concept Expansion in MOOCs with External Knowledge and Interactive Game
As Massive Open Online Courses (MOOCs) become increasingly popular, it i...
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03/21/2017