Junyu Xuan

发表

Dependent Indian Buffet Process-based Sparse Nonparametric Nonnegative Matrix Factorization

Jie Lu, Xiangfeng Luo, Richard Yi Da Xu, 2015, 1507.03176.

Qian Liu, Heyan Huang, Jie Lu, 2021, IEEE Transactions on Fuzzy Systems.

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

Maoying Qiao, Junyu Xuan, Wei Duan, 2022, AAAI.

Crowdsourcing-based timeline description of urban emergency events using social media

Yunhuai Liu, Zheng Xu, Junyu Xuan, 2017, Int. J. Ad Hoc Ubiquitous Comput..

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

Maoying Qiao, Junyu Xuan, Wei Duan, 2022, ArXiv.

Explicitly and implicitly exploiting the hierarchical structure for mining website interests on news events

Jie Lu, Guangquan Zhang, Xiangfeng Luo, 2017, Inf. Sci..

Mining Websites Preferences on Web Events in Big Data Environment

Jie Lu, Xiangfeng Luo, Junyu Xuan, 2013, 2013 IEEE 16th International Conference on Computational Science and Engineering.

Bayesian Nonparametric Relational Topic Model through Dependent Gamma Processes

Jie Lu, Guangquan Zhang, Xiangfeng Luo, 2017, IEEE Transactions on Knowledge and Data Engineering.

Discovering the core semantics of event from social media

Xiangfeng Luo, Zhiguo Gong, Zheng Xu, 2016, Future Gener. Comput. Syst..

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

Jie Lu, Junyu Xuan, Guangquan Zhang, 2021, ArXiv.

A Survey on Bayesian Nonparametric Learning

Jie Lu, Guangquan Zhang, Junyu Xuan, 2019, ACM Comput. Surv..

Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization

Guangquan Zhang, Jie Lu, Richard Yi Da Xu, 2017, Artif. Intell..

Doubly Nonparametric Sparse Nonnegative Matrix Factorization Based on Dependent Indian Buffet Processes

Guangquan Zhang, Xiangfeng Luo, Richard Yi Da Xu, 2018, IEEE Transactions on Neural Networks and Learning Systems.

A Bayesian nonparametric model for multi-label learning

Jie Lu, Guangquan Zhang, Xiangfeng Luo, 2017, Machine Learning.

Bayesian nonparametric learning for complicated text mining

Junyu Xuan, Junyu Xuan, 2016 .

Nonparametric Relational Topic Models through Dependent Gamma Processes pdf

Jie Lu, Guangquan Zhang, Xiangfeng Luo, 2015, ArXiv.

Concept Drift Detection Delay Index

Jie Lu, Guangquan Zhang, Yiliao Song, 2023, IEEE Transactions on Knowledge and Data Engineering.

Building spatial temporal relation graph of concepts pair using web repository

Kim-Kwang Raymond Choo, Yunhuai Liu, Zheng Xu, 2016, Information Systems Frontiers.

Sentiment Computing for the News Event Based on the Social Media Big Data

Xiangfeng Luo, Zheng Xu, Junyu Xuan, 2017, IEEE Access.

Building knowledge base of urban emergency events based on crowdsourcing of social media

Vijayan Sugumaran, Kim-Kwang Raymond Choo, Hui Zhang, 2016, Concurr. Comput. Pract. Exp..

Path integral based convolution and pooling for graph neural networks pdf

Ming Li, Pietro Lio, Yu Guang Wang, 2020, NeurIPS.

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

Maoying Qiao, Junyu Xuan, Wei Duan, 2022, ArXiv.

Discovering small-world in association link networks for association learning

Xue Chen, Shunxiang Zhang, Xiangfeng Luo, 2012, World Wide Web.

Open Set Domain Adaptation: Theoretical Bound and Algorithm

Feng Liu, Jie Lu, Guangquan Zhang, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Website Interaction Network

Xiangfeng Luo, Huimin Liu, Junyu Xuan, 2014, J. Organ. Comput. Electron. Commer..

Building spatial temporal relation graph of concepts pair using web repository

Yunhuai Liu, Zheng Xu, K. Choo, 2016, Information Systems Frontiers.

Temporal Learning of Semantic Relations between Concepts Using Web Repository

Zheng Xu, Junyu Xuan, Junyu Xuan, 2015, 2015 11th International Conference on Semantics, Knowledge and Grids (SKG).

Bayesian Nonparametric Unsupervised Concept Drift Detection for Data Stream Mining

Jie Lu, Guangquan Zhang, Jie Lu, 2020, ACM Trans. Intell. Syst. Technol..

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

F. Hussain, Junyu Xuan, Jaeyoon Kim, 2023, 2023 International Joint Conference on Neural Networks (IJCNN).

Web event evolution trend prediction based on its computational social context

Xiangfeng Luo, Jie Lu, Guangquan Zhang, 2020, World Wide Web.

Cognitive memory-inspired sentence ordering model

Xiangfeng Luo, Zheng Xu, Dandan Jiang, 2016, Knowl. Based Syst..

Structural property-aware multilayer network embedding for latent factor analysis

Jie Lu, Guangquan Zhang, Xiangfeng Luo, 2018, Pattern Recognit..

Special issue on intelligent computing methodologies in machine learning for IoT applications

Junyu Xuan, Jinghua Zhao, Junyu Xuan, 2021, Neural Computing and Applications.

Topic Model for Graph Mining

Xiangfeng Luo, Jie Lu, Guangquan Zhang, 2015, IEEE Transactions on Cybernetics.

Direct Learning With Multi-Task Neural Networks for Treatment Effect Estimation

Jie Lu, Guangquan Zhang, Junyu Xuan, 2023, IEEE Transactions on Knowledge and Data Engineering.

A Causal Dirichlet Mixture Model for Causal Inference from Observational Data

Guangquan Zhang, Jie Lu, Adi Lin, 2020, ACM Trans. Intell. Syst. Technol..

One-Stage Deep Instrumental Variable Method for Causal Inference from Observational Data

Guangquan Zhang, Jie Lu, Adi Lin, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

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

Jie Lu, Fujin Zhu, Adi Lin, 2021, ArXiv.

A Determinantal Point Process Based Novel Sampling Method of Abstractive Text Summarization

Junyu Xuan, Christy Jie Liang, Jianbin Shen, 2023, IEEE International Joint Conference on Neural Network.

DAFS: a domain aware few shot generative model for event detection

Xiangfeng Luo, Junyu Xuan, Hang Yu, 2022, Machine Learning.

Uncertainty Analysis for the Keyword System of Web Events

Guangquan Zhang, Xiangfeng Luo, Zheng Xu, 2016, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Crowdsourcing based social media data analysis of urban emergency events

Yunhuai Liu, Haiyan Chen, Zheng Xu, 2017, Multimedia Tools and Applications.

Measuring the Semantic Uncertainty of News Events for Evolution Potential Estimation

Jie Lu, Guangquan Zhang, Xiangfeng Luo, 2016, ACM Trans. Inf. Syst..

Nonnegative Multi-level Network Factorization for Latent Factor Analysis pdf

Jie Lu, Guangquan Zhang, Xiangfeng Luo, 2015, ArXiv.

Improving proximal policy optimization with alpha divergence

Jie Lu, Guangquan Zhang, Haotian Xu, 2023, Neurocomputing.

Semantic Structure-Based Word Embedding by Incorporating Concept Convergence and Word Divergence

Qian Liu, Heyan Huang, Jie Lu, 2018, AAAI.

Discovering small-world in association link networks for association learning

Xiangfeng Luo, Shunxiang Zhang, Weimin Xu, 2014, World Wide Web.

Measuring the Semantic Uncertainty of News Events for Evolution Potential Estimation

Xiangfeng Luo, Jie Lu, Guangquan Zhang, 2016, ACM Trans. Inf. Syst..

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

Jie Lu, Guangquan Zhang, Xiangfeng Luo, 2015, 2015 IEEE International Conference on Data Mining.

Release ‘Bag-of-Words’ Assumption of Latent Dirichlet Allocation

Xiangfeng Luo, Jie Lu, Guangquan Zhang, 2014 .

Building the Profile of Web Events Based on Website Measurement

Zheng Xu, Junyu Xuan, Yiwei Zhu, 2016 .

Discover Semantic Topics in Patents within a Specific Domain

Xiangfeng Luo, Wen Ma, Junyu Xuan, 2017, J. Web Eng..

A Bayesian nonparametric model for multi-label learning

Xiangfeng Luo, Guangquan Zhang, R. Xu, 2017, Machine Learning.

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

Junyu Xuan, Farookh Hussain, JaeYoon Kim, 2021, ArXiv.