Junyu Xuan | DeepAI

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Featured Co-authors

Ming Li
199 publications
Pietro Liò
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Zheng Ma
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Jie Lu
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Richard Yi Da Xu
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Yu Guang Wang
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Guangquan Zhang
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Zhen Fang
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Xiangfeng Luo
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Maoying Qiao
6 publications

∙ 05/02/2023

An Autonomous Non-monolithic Agent with Multi-mode Exploration based on Options Framework

Most exploration research on reinforcement learning (RL) has paid attent...

0 Jaeyoon Kim, et al. ∙

∙ 12/05/2022

Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point Processes

Graph convolutional networks (GCNs) have achieved great success in graph...

0 Wei Duan, et al. ∙

∙ 10/03/2022

Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples

Graph Convolutional Neural Networks (GCNs) has been generally accepted t...

57 Wei Duan, et al. ∙

∙ 09/27/2021

Bayesian Transfer Learning: An Overview of Probabilistic Graphical Models for Transfer Learning

Transfer learning where the behavior of extracting transferable knowledg...

6 Junyu Xuan, et al. ∙

∙ 09/20/2021

Deep Bayesian Estimation for Dynamic Treatment Regimes with a Long Follow-up Time

Causal effect estimation for dynamic treatment regimes (DTRs) contribute...

4 Adi Lin, et al. ∙

∙ 07/17/2021

Hierarchical Reinforcement Learning with Optimal Level Synchronization based on a Deep Generative Model

The high-dimensional or sparse reward task of a reinforcement learning (...

7 Jaeyoon Kim, et al. ∙

∙ 06/29/2020

Path Integral Based Convolution and Pooling for Graph Neural Networks

Graph neural networks (GNNs) extends the functionality of traditional ne...

10 Zheng Ma, et al. ∙

∙ 07/19/2019

Open Set Domain Adaptation: Theoretical Bound and Algorithm

Unsupervised domain adaptation for classification tasks has achieved gre...

2 Zhen Fang, et al. ∙

∙ 07/18/2017

Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization

The cooperative hierarchical structure is a common and significant data ...

0 Junyu Xuan, et al. ∙

∙ 03/30/2015

Nonparametric Relational Topic Models through Dependent Gamma Processes

Traditional Relational Topic Models provide a way to discover the hidden...

0 Junyu Xuan, et al. ∙

∙ 03/30/2015

Infinite Author Topic Model based on Mixed Gamma-Negative Binomial Process

Incorporating the side information of text corpus, i.e., authors, time s...

0 Junyu Xuan, et al. ∙

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