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06/23/2023
Analysis of a mixed finite element method for stochastic Cahn-Hilliard equation with multiplicative noise
This paper proposes and analyzes a novel fully discrete finite element s...
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03/24/2023
Higher order time discretization method for a class of semilinear stochastic partial differential equations with multiplicative noise
In this paper, we consider a new approach for semi-discretization in tim...
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11/19/2022
NVDiff: Graph Generation through the Diffusion of Node Vectors
Learning to generate graphs is challenging as a graph is a set of pairwi...
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10/02/2022
Fully discrete finite element methods for nonlinear stochastic elastic wave equations with multiplicative noise
This paper is concerned with fully discrete finite element methods for a...
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07/27/2021
Transferable Knowledge-Based Multi-Granularity Aggregation Network for Temporal Action Localization: Submission to ActivityNet Challenge 2021
This technical report presents an overview of our solution used in the s...
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06/28/2021
Finite Element Approximations of a Class of Nonlinear Stochastic Wave Equation with Multiplicative Noise
Wave propagation problems have many applications in physics and engineer...
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06/07/2021
Pre-trained Language Model for Web-scale Retrieval in Baidu Search
Retrieval is a crucial stage in web search that identifies a small set o...
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01/26/2020
ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation
Current pre-training works in natural language generation pay little att...
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08/26/2019
Some algorithms for the mean curvature flow under topological changes
This paper considers and proposes some algorithms to compute the mean cu...
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07/29/2019
ERNIE 2.0: A Continual Pre-training Framework for Language Understanding
Recently, pre-trained models have achieved state-of-the-art results in v...
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04/19/2019