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09/15/2023
OccupancyDETR: Making Semantic Scene Completion as Straightforward as Object Detection
Visual-based 3D semantic occupancy perception (also known as 3D semantic...
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05/29/2023
Convergence analysis of an explicit method and its random batch approximation for the McKean-Vlasov equations with non-globally Lipschitz conditions
In this paper, we present a numerical approach to solve the McKean-Vlaso...
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05/25/2023
BUCA: A Binary Classification Approach to Unsupervised Commonsense Question Answering
Unsupervised commonsense reasoning (UCR) is becoming increasingly popula...
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12/02/2022
CLeBPI: Contrastive Learning for Bug Priority Inference
Automated bug priority inference can reduce the time overhead of bug tri...
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09/10/2022
An explicit Euler method for McKean-Vlasov SDEs driven by fractional Brownian motion
In this paper, we establish the theory of chaos propagation and propose ...
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07/27/2022
JDRec: Practical Actor-Critic Framework for Online Combinatorial Recommender System
A combinatorial recommender (CR) system feeds a list of items to a user ...
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04/08/2022
IA-GCN: Interactive Graph Convolutional Network for Recommendation
Recently, Graph Convolutional Network (GCN) has become a novel state-of-...
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12/21/2021
The truncated θ-Milstein method for nonautonomous and highly nonlinear stochastic differential delay equations
This paper focuses on the strong convergence of the truncated θ-Milstein...
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09/21/2021
From English to Signal Temporal Logic
Formal methods provide very powerful tools and techniques for the design...
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10/25/2019
A Gegenbauer Neural Network with Regularized Weights Direct Determination for Classification
Single-hidden layer feed forward neural networks (SLFNs) are widely used...
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02/19/2019
Joint Optimization of Tree-based Index and Deep Model for Recommender Systems
Large-scale industrial recommender systems are usually confronted with c...
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06/30/2018
Classification of lung nodules in CT images based on Wasserstein distance in differential geometry
Lung nodules are commonly detected in screening for patients with a risk...
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06/08/2018
Estimation of marginal model with subgroup auxiliary information
Marginal model is a popular instrument for studying longitudinal data an...
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01/08/2018
Learning Tree-based Deep Model for Recommender Systems
We propose a novel recommendation method based on tree. With user behavi...
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12/14/2017