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11/29/2022
Towards Generalized Open Information Extraction
Open Information Extraction (OpenIE) facilitates the open-domain discove...
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10/25/2022
Computing Medial Axis Transform with Feature Preservation via Restricted Power Diagram
We propose a novel framework for computing the medial axis transform of ...
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10/17/2022
PTDE: Personalized Training with Distillated Execution for Multi-Agent Reinforcement Learning
Centralized Training with Decentralized Execution (CTDE) has been a very...
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10/03/2022
Two new classes of exponential Runge-Kutta integrators for efficiently solving stiff systems or highly oscillatory problems
We study two new classes of exponential Runge-Kutta (ERK) integrators fo...
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09/30/2022
Point Normal Orientation and Surface Reconstruction by Incorporating Isovalue Constraints to Poisson Equation
Oriented normals are common pre-requisites for many geometric algorithms...
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08/19/2022
GreenKGC: A Lightweight Knowledge Graph Completion Method
Knowledge graph completion (KGC) aims to discover missing relationships ...
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05/17/2022
Unified Interactive Image Matting
Recent image matting studies are developing towards proposing trimap-fre...
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12/27/2021
ViR:the Vision Reservoir
The most recent year has witnessed the success of applying the Vision Tr...
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12/04/2020
Few-Shot Event Detection with Prototypical Amortized Conditional Random Field
Event Detection, a fundamental task of Information Extraction, tends to ...
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11/17/2020
Electric Vehicle Charging Infrastructure Planning: A Scalable Computational Framework
The optimal charging infrastructure planning problem over a large geospa...
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07/28/2020
Admissible ways of merging p-values under arbitrary dependence
Methods of merging several p-values into a single p-value are important ...
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05/23/2020
MeshODE: A Robust and Scalable Framework for Mesh Deformation
We present MeshODE, a scalable and robust framework for pairwise CAD mod...
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09/03/2019
Learning Elastic Constitutive Material and Damping Models
The fidelity of a deformation simulation is highly dependent upon the un...
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12/22/2018
Deep Uncertainty Learning: A Machine Learning Approach for Weather Forecasting
This paper uses the weather forecasting as an application background to ...
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10/31/2018
