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06/03/2023
Accelerating Personalized PageRank Vector Computation
Personalized PageRank Vectors are widely used as fundamental graph-learn...
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03/08/2023
PL-UNeXt: Per-stage Edge Detail and Line Feature Guided Segmentation for Power Line Detection
Power line detection is a critical inspection task for electricity compa...
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11/25/2022
Designing Neural Networks for Hyperbolic Conservation Laws
We propose a new data-driven method to learn the dynamics of an unknown ...
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11/23/2022
Mutual Information Learned Regressor: an Information-theoretic Viewpoint of Training Regression Systems
As one of the central tasks in machine learning, regression finds lots o...
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10/10/2022
Improving Continual Relation Extraction through Prototypical Contrastive Learning
Continual relation extraction (CRE) aims to extract relations towards th...
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10/06/2022
Neural Volumetric Mesh Generator
Deep generative models have shown success in generating 3D shapes with d...
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09/21/2022
Mutual Information Learned Classifiers: an Information-theoretic Viewpoint of Training Deep Learning Classification Systems
Deep learning systems have been reported to achieve state-of-the-art per...
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07/24/2022
Tighter Bound Estimation for Efficient Biquadratic Optimization Over Unit Spheres
Bi-quadratic programming over unit spheres is a fundamental problem in q...
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03/07/2022
Robust Modeling of Unknown Dynamical Systems via Ensemble Averaged Learning
Recent work has focused on data-driven learning of the evolution of unkn...
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10/24/2021
Exploring Gradient Flow Based Saliency for DNN Model Compression
Model pruning aims to reduce the deep neural network (DNN) model size or...
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10/01/2021
Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning
Nowadays, deep learning methods with large-scale datasets can produce cl...
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07/22/2021
Flexible Distributed Matrix Multiplication
The distributed matrix multiplication problem with an unknown number of ...
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06/07/2021
Deep Neural Network Modeling of Unknown Partial Differential Equations in Nodal Space
We present a numerical framework for deep neural network (DNN) modeling ...
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05/18/2021
Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising
In most real-world large-scale online applications (e.g., e-commerce or ...
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08/09/2020
Socially-Aware Conference Participant Recommendation with Personality Traits
As a result of the importance of academic collaboration at smart confere...
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06/02/2020
Data-driven learning of non-autonomous systems
We present a numerical framework for recovering unknown non-autonomous d...
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03/05/2020
Methods to Recover Unknown Processes in Partial Differential Equations Using Data
We study the problem of identifying unknown processes embedded in time-d...
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02/18/2020
GCSA Codes with Noise Alignment for Secure Coded Multi-Party Batch Matrix Multiplication
A secure multi-party batch matrix multiplication problem (SMBMM) is cons...
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01/23/2020
On generalized residue network for deep learning of unknown dynamical systems
We present a general numerical approach for learning unknown dynamical s...
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01/12/2020
Complementary Network with Adaptive Receptive Fields for Melanoma Segmentation
Automatic melanoma segmentation in dermoscopic images is essential in co...
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10/15/2019
A neural network approach for uncertainty quantification for time-dependent problems with random parameters
In this work we propose a numerical framework for uncertainty quantifica...
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11/12/2018
Parameterized Synthetic Image Data Set for Fisheye Lens
Based on different projection geometry, a fisheye image can be presented...
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06/10/2018
Analysis of Nederlof's algorithm for subset sum
In 2017, J. Nederlof proposed an algorithm [Information Processing Lette...
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04/24/2018
Half-Space Power Diagrams and Discrete Surface Offsets
We present a novel algorithm to compute offset surfaces of shapes discre...
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02/03/2018
Deep Learning Framework for Multi-class Breast Cancer Histology Image Classification
In this work, we present a deep learning framework for multi-class breas...
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01/12/2018
The Asymptotic Capacity of Private Search
The private search problem is introduced, where a dataset comprised of L...
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08/27/2017
Capital flow constrained lot sizing problem with loss of goodwill and loan
We introduce capital flow constraints, loss of good will and loan to the...
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06/18/2017