Junyu Xuan

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 63

Top Topics

Reinforcement Learning

Hierarchical Dirichlet Process

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Jaeyoon Kim, Junyu Xuan, Christy Jie Liang, Farookh Khadeer Hussain
Decoupling Exploration and Exploitation for Unsupervised Pre-training with Successor Features. CoRR (2024)
Wei Duan, Jie Lu, Yu Guang Wang, Junyu Xuan
Layer-diverse Negative Sampling for Graph Neural Networks. Trans. Mach. Learn. Res. 2024 (2024)
Haotian Xu, Junyu Xuan, Guangquan Zhang, Jie Lu
Trust region policy optimization via entropy regularization for Kullback-Leibler divergence constraint. Neurocomputing 589 (2024)
Wei Duan, Jie Lu, Junyu Xuan
Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning. CoRR (2024)
Wei Duan, Jie Lu, Junyu Xuan
Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learning. CoRR (2024)
Zihe Liu, Jie Lu, Guangquan Zhang, Junyu Xuan
A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points. CoRR (2024)
Wei Duan, Jie Lu, Yu Guang Wang, Junyu Xuan
Layer-diverse Negative Sampling for Graph Neural Networks. CoRR (2024)
Guanjin Wang, Junyu Xuan, Penghao Wang, Chengdao Li, Jie Lu
LSTM Autoencoder-based Deep Neural Networks for Barley Genotype-to-Phenotype Prediction. CoRR (2024)
Kiyoshige Garcés, Junyu Xuan, Hua Zuo
Transformed Successor Features for Transfer Reinforcement Learning. AI (2) (2023)
Fujin Zhu, Jie Lu, Adi Lin, Junyu Xuan, Guangquan Zhang
Direct Learning With Multi-Task Neural Networks for Treatment Effect Estimation. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Nan Xia, Hang Yu, Yin Wang, Junyu Xuan, Xiangfeng Luo
DAFS: a domain aware few shot generative model for event detection. Mach. Learn. 112 (3) (2023)
Jaeyoon Kim, Junyu Xuan, Christy Jie Liang, Farookh Hussain
An Autonomous Non-monolithic Agent with Multi-mode Exploration based on Options Framework. CoRR (2023)
Jaeyoon Kim, Junyu Xuan, Christy Jie Liang, Farookh Hussain
An Autonomous Non-monolithic Agent with Multi-mode Exploration based on Options Framework. IJCNN (2023)
Haotian Xu, Zheng Yan, Junyu Xuan, Guangquan Zhang, Jie Lu
Improving proximal policy optimization with alpha divergence. Neurocomputing 534 (2023)
Jianbin Shen, Junyu Xuan, Christy Jie Liang
A Determinantal Point Process Based Novel Sampling Method of Abstractive Text Summarization. IJCNN (2023)
Jianbin Shen, Junyu Xuan, Christy Jie Liang
Mitigating Intrinsic Named Entity-Related Hallucinations of Abstractive Text Summarization. EMNLP (Findings) (2023)
Anjin Liu, Jie Lu, Yiliao Song, Junyu Xuan, Guangquan Zhang
Concept Drift Detection Delay Index. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu
Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples. AAAI (2022)
Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu
Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples. CoRR (2022)
Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu
Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point Processes. CoRR (2022)
Jinghua Zhao, Junyu Xuan
Special issue on intelligent computing methodologies in machine learning for IoT applications. Neural Comput. Appl. 33 (14) (2021)
Wei Duan, Junyu Xuan, Jie Lu
Negative Samples-enhanced Graph Convolutional Neural Networks. ISKE (2021)
Qian Liu, Heyan Huang, Junyu Xuan, Guangquan Zhang, Yang Gao, Jie Lu
A Fuzzy Word Similarity Measure for Selecting Top-$k$ Similar Words in Query Expansion. IEEE Trans. Fuzzy Syst. 29 (8) (2021)
Adi Lin, Jie Lu, Junyu Xuan, Fujin Zhu, Guangquan Zhang
Deep Bayesian Estimation for Dynamic Treatment Regimes with a Long Follow-up Time. CoRR (2021)
Jaeyoon Kim, Junyu Xuan, Christy Liang, Farookh Hussain
Hierarchical Reinforcement Learning with Optimal Level Synchronization based on a Deep Generative Model. CoRR (2021)
Junyu Xuan, Jie Lu, Guangquan Zhang
Bayesian Nonparametric Unsupervised Concept Drift Detection for Data Stream Mining. ACM Trans. Intell. Syst. Technol. 12 (1) (2021)
Zhen Fang, Jie Lu, Feng Liu, Junyu Xuan, Guangquan Zhang
Open Set Domain Adaptation: Theoretical Bound and Algorithm. IEEE Trans. Neural Networks Learn. Syst. 32 (10) (2021)
Junyu Xuan, Jie Lu, Guangquan Zhang
Bayesian Transfer Learning: An Overview of Probabilistic Graphical Models for Transfer Learning. CoRR (2021)
Junyu Xuan, Xiangfeng Luo, Jie Lu, Guangquan Zhang
Web event evolution trend prediction based on its computational social context. World Wide Web 23 (3) (2020)
Zheng Ma, Junyu Xuan, Yu Guang Wang, Ming Li, Pietro Liò
Path Integral Based Convolution and Pooling for Graph Neural Networks. NeurIPS (2020)
Adi Lin, Jie Lu, Junyu Xuan, Fujin Zhu, Guangquan Zhang
A Causal Dirichlet Mixture Model for Causal Inference from Observational Data. ACM Trans. Intell. Syst. Technol. 11 (3) (2020)
Zheng Ma, Junyu Xuan, Yu Guang Wang, Ming Li, Pietro Lió
Path Integral Based Convolution and Pooling for Graph Neural Networks. CoRR (2020)
Junyu Xuan, Jie Lu, Guangquan Zhang
Cooperative hierarchical Dirichlet processes: Superposition vs. maximization. Artif. Intell. 271 (2019)
Zhen Fang, Jie Lu, Feng Liu, Junyu Xuan, Guangquan Zhang
Open Set Domain Adaptation: Theoretical Bound and Algorithm. CoRR (2019)
Adi Lin, Jie Lu, Junyu Xuan, Fujin Zhu, Guangquan Zhang
One-Stage Deep Instrumental Variable Method for Causal Inference from Observational Data. ICDM (2019)
Junyu Xuan, Jie Lu, Guangquan Zhang
A Survey on Bayesian Nonparametric Learning. ACM Comput. Surv. 52 (1) (2019)
Qian Liu, Heyan Huang, Guangquan Zhang, Yang Gao, Junyu Xuan, Jie Lu
Semantic Structure-Based Word Embedding by Incorporating Concept Convergence and Word Divergence. AAAI (2018)
Junyu Xuan, Jie Lu, Zheng Yan, Guangquan Zhang
Bayesian Deep Reinforcement Learning via Deep Kernel Learning. Int. J. Comput. Intell. Syst. 12 (1) (2018)
Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo
Doubly Nonparametric Sparse Nonnegative Matrix Factorization Based on Dependent Indian Buffet Processes. IEEE Trans. Neural Networks Learn. Syst. 29 (5) (2018)
Jie Lu, Junyu Xuan, Guangquan Zhang, Xiangfeng Luo
Structural property-aware multilayer network embedding for latent factor analysis. Pattern Recognit. 76 (2018)
Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu
Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization. CoRR (2017)
Wen Ma, Xiangfeng Luo, Junyu Xuan, Ruirong Xue
Discover Semantic Topics in Patents within a Specific Domain. J. Web Eng. 16 (7&8) (2017)
Weidong Liu, Xiangfeng Luo, Junyu Xuan, Dandan Jiang, Zheng Xu
Association Link Network Based Semantic Coherence Measurement for Short Texts of Web Events. J. Web Eng. 16 (1&2) (2017)
Zheng Xu, Junyu Xuan, Yunhuai Liu, Kim-Kwang Raymond Choo, Lin Mei, Chuanping Hu
Building spatial temporal relation graph of concepts pair using web repository. Inf. Syst. Frontiers 19 (5) (2017)
Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo
Bayesian Nonparametric Relational Topic Model through Dependent Gamma Processes. IEEE Trans. Knowl. Data Eng. 29 (7) (2017)
Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo
A Bayesian nonparametric model for multi-label learning. Mach. Learn. 106 (11) (2017)
Dandan Jiang, Xiangfeng Luo, Junyu Xuan, Zheng Xu
Sentiment Computing for the News Event Based on the Social Media Big Data. IEEE Access 5 (2017)
Junyu Xuan, Xiangfeng Luo, Jie Lu, Guangquan Zhang
Explicitly and implicitly exploiting the hierarchical structure for mining website interests on news events. Inf. Sci. 420 (2017)
Zheng Xu, Hui Zhang, Chuanping Hu, Yunhuai Liu, Junyu Xuan, Lin Mei
Crowdsourcing-based timeline description of urban emergency events using social media. Int. J. Ad Hoc Ubiquitous Comput. 25 (1/2) (2017)
Zheng Xu, Yunhuai Liu, Junyu Xuan, Haiyan Chen, Lin Mei
Crowdsourcing based social media data analysis of urban emergency events. Multim. Tools Appl. 76 (9) (2017)
Weidong Liu, Xiangfeng Luo, Zhiguo Gong, Junyu Xuan, Ngai Meng Kou, Zheng Xu
Discovering the core semantics of event from social media. Future Gener. Comput. Syst. 64 (2016)
Weidong Liu, Xiangfeng Luo, Junyu Xuan, Zheng Xu, Dandan Jiang
Cognitive memory-inspired sentence ordering model. Knowl. Based Syst. 104 (2016)
Xiangfeng Luo, Junyu Xuan, Jie Lu, Guangquan Zhang
Measuring the Semantic Uncertainty of News Events for Evolution Potential Estimation. ACM Trans. Inf. Syst. 34 (4) (2016)
Zheng Xu, Hui Zhang, Chuanping Hu, Lin Mei, Junyu Xuan, Kim-Kwang Raymond Choo, Vijayan Sugumaran, Yiwei Zhu
Building knowledge base of urban emergency events based on crowdsourcing of social media. Concurr. Comput. Pract. Exp. 28 (15) (2016)
Junyu Xuan, Xiangfeng Luo, Guangquan Zhang, Jie Lu, Zheng Xu
Uncertainty Analysis for the Keyword System of Web Events. IEEE Trans. Syst. Man Cybern. Syst. 46 (6) (2016)
Junyu Xuan, Jie Lu, Guangquan Zhang, Xiangfeng Luo
Topic Model for Graph Mining. IEEE Trans. Cybern. 45 (12) (2015)
Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo
Nonparametric Relational Topic Models through Dependent Gamma Processes. CoRR (2015)
Qichen Ma, Xiangfeng Luo, Junyu Xuan, Huimin Liu
Bayesian Based Type Discrimination of Web Events. J. Web Eng. 14 (5&6) (2015)
Zheng Xu, Junyu Xuan
Temporal Learning of Semantic Relations between Concepts Using Web Repository. SKG (2015)
Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo
Infinite Author Topic Model based on Mixed Gamma-Negative Binomial Process. CoRR (2015)
Yang Liu, Xiangfeng Luo, Junyu Xuan
Online hot event discovery based on Association Link Network. Concurr. Comput. Pract. Exp. 27 (15) (2015)
Junyu Xuan, Jie Lu, Xiangfeng Luo, Guangquan Zhang
Nonnegative Multi-level Network Factorization for Latent Factor Analysis. CoRR (2015)
Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo
Infinite Author Topic Model Based on Mixed Gamma-Negative Binomial Process. ICDM (2015)
Xiangfeng Luo, Huimin Liu, Junyu Xuan
Website Interaction Network. J. Organ. Comput. Electron. Commer. 24 (2-3) (2014)
Xiangfeng Luo, Junyu Xuan, Huimin Liu
Web Event State Prediction Model: Combining Prior Knowledge with Real Time Data. J. Web Eng. 13 (5&6) (2014)
Jinbiao Jing, Xiangfeng Luo, Junyu Xuan, Weidong Liu
Cognition-Based Semantic Annotation for Web Images. BDCloud (2014)
Junyu Xuan, Jie Lu, Guangquan Zhang, Xiangfeng Luo
Extension of similarity measures in VSM: From orthogonal coordinate system to affine coordinate system. IJCNN (2014)
Shunxiang Zhang, Xiangfeng Luo, Junyu Xuan, Xue Chen, Weimin Xu
Discovering small-world in association link networks for association learning. World Wide Web 17 (2) (2014)
Junyu Xuan, Xiangfeng Luo, Jie Lu
Mining Websites Preferences on Web Events in Big Data Environment. CSE (2013)
Junyu Xuan, Xiangfeng Luo, Shunxiang Zhang, Zheng Xu, Huimin Liu, Feiyue Ye
Building Hierarchical Keyword Level Association Link Networks for Web Events Semantic Analysis. DASC (2011)