Junyu Xuan

According to our database, Junyu Xuan authored at least 68 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Deep Reinforcement Learning in Nonstationary Environments With Unknown Change Points.

Zihe Liu, Jie Lu, Junyu Xuan, Guangquan Zhang

IEEE Trans. Cybern., September, 2024

Layer-diverse Negative Sampling for Graph Neural Networks.

Wei Duan, Jie Lu, Yu Guang Wang, Junyu Xuan

Trans. Mach. Learn. Res., 2024

Trust region policy optimization via entropy regularization for Kullback-Leibler divergence constraint.

Haotian Xu, Junyu Xuan, Guangquan Zhang, Jie Lu

Neurocomputing, 2024

Functional Stochastic Gradient MCMC for Bayesian Neural Networks.

Mengjing Wu, Junyu Xuan, Jie Lu

CoRR, 2024

LSTM Autoencoder-based Deep Neural Networks for Barley Genotype-to-Phenotype Prediction.

Guanjin Wang, Junyu Xuan, Penghao Wang, Chengdao Li, Jie Lu

CoRR, 2024

Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learning.

Wei Duan, Jie Lu, Junyu Xuan

CoRR, 2024

Improving the Factuality of Abstractive Text Summarization with Syntactic Structure-Aware Latent Semantic Space.

Jianbin Shen, Christy Jie Liang, Junyu Xuan

Proceedings of the International Joint Conference on Neural Networks, 2024

Decoupling Exploration and Exploitation for Unsupervised Pre-training with Successor Features.

Jaeyoon Kim, Junyu Xuan, Christy Jie Liang, Farookh Khadeer Hussain

Proceedings of the International Joint Conference on Neural Networks, 2024

A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points.

Zihe Liu, Jie Lu, Guangquan Zhang, Junyu Xuan

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning.

Wei Duan, Jie Lu, Junyu Xuan

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Concept Drift Detection Delay Index.

Anjin Liu, Jie Lu, Yiliao Song, Junyu Xuan, Guangquan Zhang

IEEE Trans. Knowl. Data Eng., May, 2023

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

Fujin Zhu, Jie Lu, Adi Lin, Junyu Xuan, Guangquan Zhang

IEEE Trans. Knowl. Data Eng., March, 2023

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

Nan Xia, Hang Yu, Yin Wang, Junyu Xuan, Xiangfeng Luo

Mach. Learn., March, 2023

Improving proximal policy optimization with alpha divergence.

Haotian Xu, Zheng Yan, Junyu Xuan, Guangquan Zhang, Jie Lu

Neurocomputing, 2023

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

Jianbin Shen, Junyu Xuan, Christy Jie Liang

Proceedings of the International Joint Conference on Neural Networks, 2023

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

Jaeyoon Kim, Junyu Xuan, Christy Jie Liang, Farookh Khadeer Hussain

Proceedings of the International Joint Conference on Neural Networks, 2023

Mitigating Intrinsic Named Entity-Related Hallucinations of Abstractive Text Summarization.

Jianbin Shen, Junyu Xuan, Christy Jie Liang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Transformed Successor Features for Transfer Reinforcement Learning.

Kiyoshige Garcés, Junyu Xuan, Hua Zuo

Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022

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

Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu

CoRR, 2022

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

Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Open Set Domain Adaptation: Theoretical Bound and Algorithm.

Zhen Fang, Jie Lu, Feng Liu, Junyu Xuan, Guangquan Zhang

IEEE Trans. Neural Networks Learn. Syst., 2021

Bayesian Nonparametric Unsupervised Concept Drift Detection for Data Stream Mining.

Junyu Xuan, Jie Lu, Guangquan Zhang

ACM Trans. Intell. Syst. Technol., 2021

A Fuzzy Word Similarity Measure for Selecting Top-$k$ Similar Words in Query Expansion.

Qian Liu, Heyan Huang, Junyu Xuan, Guangquan Zhang, Yang Gao, Jie Lu

IEEE Trans. Fuzzy Syst., 2021

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

Jinghua Zhao, Junyu Xuan

Neural Comput. Appl., 2021

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

Junyu Xuan, Jie Lu, Guangquan Zhang

CoRR, 2021

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

Adi Lin, Jie Lu, Junyu Xuan, Fujin Zhu, Guangquan Zhang

CoRR, 2021

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

Jaeyoon Kim, Junyu Xuan, Christy Jie Liang, Farookh Khadeer Hussain

CoRR, 2021

Negative Samples-enhanced Graph Convolutional Neural Networks.

Wei Duan, Junyu Xuan, Jie Lu

Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021

2020

Web event evolution trend prediction based on its computational social context.

Junyu Xuan, Xiangfeng Luo, Jie Lu, Guangquan Zhang

World Wide Web, 2020

A Causal Dirichlet Mixture Model for Causal Inference from Observational Data.

Adi Lin, Jie Lu, Junyu Xuan, Fujin Zhu, Guangquan Zhang

ACM Trans. Intell. Syst. Technol., 2020

Path Integral Based Convolution and Pooling for Graph Neural Networks.

Zheng Ma, Junyu Xuan, Yu Guang Wang, Ming Li, Pietro Liò

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

A Survey on Bayesian Nonparametric Learning.

Junyu Xuan, Jie Lu, Guangquan Zhang

ACM Comput. Surv., 2019

Cooperative hierarchical Dirichlet processes: Superposition vs. maximization.

Junyu Xuan, Jie Lu, Guangquan Zhang

Artif. Intell., 2019

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

Adi Lin, Jie Lu, Junyu Xuan, Fujin Zhu, Guangquan Zhang

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

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

Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo

IEEE Trans. Neural Networks Learn. Syst., 2018

Structural property-aware multilayer network embedding for latent factor analysis.

Jie Lu, Junyu Xuan, Guangquan Zhang, Xiangfeng Luo

Pattern Recognit., 2018

Bayesian Deep Reinforcement Learning via Deep Kernel Learning.

Junyu Xuan, Jie Lu, Zheng Yan, Guangquan Zhang

Int. J. Comput. Intell. Syst., 2018

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

Qian Liu, Heyan Huang, Guangquan Zhang, Yang Gao, Junyu Xuan, Jie Lu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Bayesian Nonparametric Relational Topic Model through Dependent Gamma Processes.

Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo

IEEE Trans. Knowl. Data Eng., 2017

Crowdsourcing based social media data analysis of urban emergency events.

Zheng Xu, Yunhuai Liu, Junyu Xuan, Haiyan Chen, Lin Mei

Multim. Tools Appl., 2017

A Bayesian nonparametric model for multi-label learning.

Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo

Mach. Learn., 2017

Discover Semantic Topics in Patents within a Specific Domain.

Wen Ma, Xiangfeng Luo, Junyu Xuan, Ruirong Xue

J. Web Eng., 2017

Association Link Network Based Semantic Coherence Measurement for Short Texts of Web Events.

Weidong Liu, Xiangfeng Luo, Junyu Xuan, Dandan Jiang, Zheng Xu

J. Web Eng., 2017

Building spatial temporal relation graph of concepts pair using web repository.

Zheng Xu, Junyu Xuan, Yunhuai Liu, Kim-Kwang Raymond Choo, Lin Mei, Chuanping Hu

Inf. Syst. Frontiers, 2017

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

Junyu Xuan, Xiangfeng Luo, Jie Lu, Guangquan Zhang

Inf. Sci., 2017

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

Zheng Xu, Hui Zhang, Chuanping Hu, Yunhuai Liu, Junyu Xuan, Lin Mei

Int. J. Ad Hoc Ubiquitous Comput., 2017

Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization.

Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu

CoRR, 2017

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

Dandan Jiang, Xiangfeng Luo, Junyu Xuan, Zheng Xu

IEEE Access, 2017

2016

Bayesian nonparametric learning for complicated text mining

Junyu Xuan

PhD thesis, 2016

Uncertainty Analysis for the Keyword System of Web Events.

Junyu Xuan, Xiangfeng Luo, Guangquan Zhang, Jie Lu, Zheng Xu

IEEE Trans. Syst. Man Cybern. Syst., 2016

Measuring the Semantic Uncertainty of News Events for Evolution Potential Estimation.

Xiangfeng Luo, Junyu Xuan, Jie Lu, Guangquan Zhang

ACM Trans. Inf. Syst., 2016

Cognitive memory-inspired sentence ordering model.

Weidong Liu, Xiangfeng Luo, Junyu Xuan, Zheng Xu, Dandan Jiang

Knowl. Based Syst., 2016

Discovering the core semantics of event from social media.

Weidong Liu, Xiangfeng Luo, Zhiguo Gong, Junyu Xuan, Ngai Meng Kou, Zheng Xu

Future Gener. Comput. Syst., 2016

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

Zheng Xu, Hui Zhang, Chuanping Hu, Lin Mei, Junyu Xuan, Kim-Kwang Raymond Choo, Vijayan Sugumaran, Yiwei Zhu

Concurr. Comput. Pract. Exp., 2016

2015

Topic Model for Graph Mining.

Junyu Xuan, Jie Lu, Guangquan Zhang, Xiangfeng Luo

IEEE Trans. Cybern., 2015

Bayesian Based Type Discrimination of Web Events.

Qichen Ma, Xiangfeng Luo, Junyu Xuan, Huimin Liu

J. Web Eng., 2015

Nonparametric Relational Topic Models through Dependent Gamma Processes.

Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo

CoRR, 2015

Nonnegative Multi-level Network Factorization for Latent Factor Analysis.

Junyu Xuan, Jie Lu, Xiangfeng Luo, Guangquan Zhang

CoRR, 2015

Online hot event discovery based on Association Link Network.

Yang Liu, Xiangfeng Luo, Junyu Xuan

Concurr. Comput. Pract. Exp., 2015

Temporal Learning of Semantic Relations between Concepts Using Web Repository.

Zheng Xu, Junyu Xuan

Proceedings of the 11th International Conference on Semantics, Knowledge and Grids, 2015

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

Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014

Discovering small-world in association link networks for association learning.

Shunxiang Zhang, Xiangfeng Luo, Junyu Xuan, Xue Chen, Weimin Xu

World Wide Web, 2014

Web Event State Prediction Model: Combining Prior Knowledge with Real Time Data.

Xiangfeng Luo, Junyu Xuan, Huimin Liu

J. Web Eng., 2014

Website Interaction Network.

Xiangfeng Luo, Huimin Liu, Junyu Xuan

J. Organ. Comput. Electron. Commer., 2014

Extension of similarity measures in VSM: From orthogonal coordinate system to affine coordinate system.

Junyu Xuan, Jie Lu, Guangquan Zhang, Xiangfeng Luo

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Cognition-Based Semantic Annotation for Web Images.

Jinbiao Jing, Xiangfeng Luo, Junyu Xuan, Weidong Liu

Proceedings of the 2014 IEEE Fourth International Conference on Big Data and Cloud Computing, 2014

2013

Mining Websites Preferences on Web Events in Big Data Environment.

Junyu Xuan, Xiangfeng Luo, Jie Lu

Proceedings of the 16th IEEE International Conference on Computational Science and Engineering, 2013

2011

Building Hierarchical Keyword Level Association Link Networks for Web Events Semantic Analysis.

Junyu Xuan, Xiangfeng Luo, Shunxiang Zhang, Zheng Xu, Huimin Liu, Feiyue Ye

Proceedings of the IEEE Ninth International Conference on Dependable, 2011