Building Hierarchical Keyword Level Association Link Networks for Web Events Semantic Analysis. - Junyu Xuan; Xiangfeng Luo; Shunxiang Zhang; Zheng Xu 001; Huimin Liu; Feiyue Ye (DASC, 2011)

Mining Websites Preferences on Web Events in Big Data Environment. - Junyu Xuan; Xiangfeng Luo; Jie Lu 001 (CSE, 2013)

Cognition-Based Semantic Annotation for Web Images. - Jinbiao Jing; Xiangfeng Luo; Junyu Xuan; Weidong Liu 008 (BDCloud, 2014)

Extension of similarity measures in VSM: From orthogonal coordinate system to affine coordinate system. - Junyu Xuan; Jie Lu 001; Guangquan Zhang 001; Xiangfeng Luo (IJCNN, 2014)

Website Interaction Network. - Xiangfeng Luo; Huimin Liu; Junyu Xuan (J. Organ. Comput. Electron. Commer., 2014)

Web Event State Prediction Model: Combining Prior Knowledge with Real Time Data. - Xiangfeng Luo; Junyu Xuan; Huimin Liu (J. Web Eng., 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)

Infinite Author Topic Model Based on Mixed Gamma-Negative Binomial Process. - Junyu Xuan; Jie Lu 001; Guangquan Zhang 001; Richard Yi Da Xu; Xiangfeng Luo (ICDM, 2015)

Temporal Learning of Semantic Relations between Concepts Using Web Repository. - Zheng Xu 001; Junyu Xuan (SKG, 2015)

Online hot event discovery based on Association Link Network. - Yang Liu; Xiangfeng Luo; Junyu Xuan (Concurr. Comput. Pract. Exp., 2015)

Nonnegative Multi-level Network Factorization for Latent Factor Analysis. - Junyu Xuan; Jie Lu 001; Xiangfeng Luo; Guangquan Zhang 001 (CoRR, 2015)

Nonparametric Relational Topic Models through Dependent Gamma Processes. - Junyu Xuan; Jie Lu 001; Guangquan Zhang 001; Richard Yi Da Xu; Xiangfeng Luo (CoRR, 2015)

Bayesian Based Type Discrimination of Web Events. - Qichen Ma; Xiangfeng Luo; Junyu Xuan; Huimin Liu (J. Web Eng., 2015)

Topic Model for Graph Mining. - Junyu Xuan; Jie Lu 001; Guangquan Zhang 001; Xiangfeng Luo (IEEE Trans. Cybern., 2015)

Building knowledge base of urban emergency events based on crowdsourcing of social media. - Zheng Xu 001; Hui Zhang 016; Chuanping Hu; Lin Mei 001; Junyu Xuan; Kim-Kwang Raymond Choo; Vijayan Sugumaran; Yiwei Zhu (Concurr. Comput. Pract. Exp., 2016)

Discovering the core semantics of event from social media. - Weidong Liu 008; Xiangfeng Luo; Zhiguo Gong; Junyu Xuan; Ngai Meng Kou; Zheng Xu 001 (Future Gener. Comput. Syst., 2016)

Cognitive memory-inspired sentence ordering model. - Weidong Liu 008; Xiangfeng Luo; Junyu Xuan; Zheng Xu 001; Dandan Jiang (Knowl. Based Syst., 2016)

Measuring the Semantic Uncertainty of News Events for Evolution Potential Estimation. - Xiangfeng Luo; Junyu Xuan; Jie Lu 001; Guangquan Zhang 001 (ACM Trans. Inf. Syst., 2016)

Uncertainty Analysis for the Keyword System of Web Events. - Junyu Xuan; Xiangfeng Luo; Guangquan Zhang 001; Jie Lu 001; Zheng Xu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2016)

Bayesian nonparametric learning for complicated text mining - Junyu Xuan (2016)

Sentiment Computing for the News Event Based on the Social Media Big Data. - Dandan Jiang; Xiangfeng Luo; Junyu Xuan; Zheng Xu 001 (IEEE Access, 2017)

Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization. - Junyu Xuan; Jie Lu 001; Guangquan Zhang 001; Richard Yi Da Xu (CoRR, 2017)

Crowdsourcing-based timeline description of urban emergency events using social media. - Zheng Xu 001; Hui Zhang 016; Chuanping Hu; Yunhuai Liu; Junyu Xuan; Lin Mei 001 (Int. J. Ad Hoc Ubiquitous Comput., 2017)

Explicitly and implicitly exploiting the hierarchical structure for mining website interests on news events. - Junyu Xuan; Xiangfeng Luo; Jie Lu 001; Guangquan Zhang 001 (Inf. Sci., 2017)

Building spatial temporal relation graph of concepts pair using web repository. - Zheng Xu 001; Junyu Xuan; Yunhuai Liu; Kim-Kwang Raymond Choo; Lin Mei 001; Chuanping Hu (Inf. Syst. Frontiers, 2017)

Association Link Network Based Semantic Coherence Measurement for Short Texts of Web Events. - Weidong Liu 008; Xiangfeng Luo; Junyu Xuan; Dandan Jiang; Zheng Xu 001 (J. Web Eng., 2017)

Discover Semantic Topics in Patents within a Specific Domain. - Wen Ma; Xiangfeng Luo; Junyu Xuan; Ruirong Xue (J. Web Eng., 2017)

A Bayesian nonparametric model for multi-label learning. - Junyu Xuan; Jie Lu 001; Guangquan Zhang 001; Richard Yi Da Xu; Xiangfeng Luo (Mach. Learn., 2017)

Crowdsourcing based social media data analysis of urban emergency events. - Zheng Xu 001; Yunhuai Liu; Junyu Xuan; Haiyan Chen; Lin Mei 001 (Multim. Tools Appl., 2017)

Bayesian Nonparametric Relational Topic Model through Dependent Gamma Processes. - Junyu Xuan; Jie Lu 001; Guangquan Zhang 001; Richard Yi Da Xu; Xiangfeng Luo (IEEE Trans. Knowl. Data Eng., 2017)

Semantic Structure-Based Word Embedding by Incorporating Concept Convergence and Word Divergence. - Qian Liu 012; Heyan Huang; Guangquan Zhang 001; Yang Gao 016; Junyu Xuan; Jie Lu 001 (AAAI, 2018)

Bayesian Deep Reinforcement Learning via Deep Kernel Learning. - Junyu Xuan; Jie Lu 001; Zheng Yan 001; Guangquan Zhang 001 (Int. J. Comput. Intell. Syst., 2018)

Structural property-aware multilayer network embedding for latent factor analysis. - Jie Lu 001; Junyu Xuan; Guangquan Zhang 001; Xiangfeng Luo (Pattern Recognit., 2018)

Doubly Nonparametric Sparse Nonnegative Matrix Factorization Based on Dependent Indian Buffet Processes. - Junyu Xuan; Jie Lu 001; Guangquan Zhang 001; Richard Yi Da Xu; Xiangfeng Luo (IEEE Trans. Neural Networks Learn. Syst., 2018)

One-Stage Deep Instrumental Variable Method for Causal Inference from Observational Data. - Adi Lin; Jie Lu 001; Junyu Xuan; Fujin Zhu; Guangquan Zhang 001 (ICDM, 2019)

Cooperative hierarchical Dirichlet processes: Superposition vs. maximization. - Junyu Xuan; Jie Lu 001; Guangquan Zhang 001 (Artif. Intell., 2019)

A Survey on Bayesian Nonparametric Learning. - Junyu Xuan; Jie Lu 001; Guangquan Zhang 001 (ACM Comput. Surv., 2019)

Path Integral Based Convolution and Pooling for Graph Neural Networks. - Zheng Ma; Junyu Xuan; Yu Guang Wang 001; Ming Li 065; Pietro Liò (NeurIPS, 2020)

A Causal Dirichlet Mixture Model for Causal Inference from Observational Data. - Adi Lin; Jie Lu 001; Junyu Xuan; Fujin Zhu; Guangquan Zhang 001 (ACM Trans. Intell. Syst. Technol., 2020)

Web event evolution trend prediction based on its computational social context. - Junyu Xuan; Xiangfeng Luo; Jie Lu 001; Guangquan Zhang 001 (World Wide Web, 2020)

Negative Samples-enhanced Graph Convolutional Neural Networks. - Wei Duan 003; Junyu Xuan; Jie Lu 001 (ISKE, 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)

Deep Bayesian Estimation for Dynamic Treatment Regimes with a Long Follow-up Time. - Adi Lin; Jie Lu 001; Junyu Xuan; Fujin Zhu; Guangquan Zhang 001 (CoRR, 2021)

Bayesian Transfer Learning: An Overview of Probabilistic Graphical Models for Transfer Learning. - Junyu Xuan; Jie Lu 001; Guangquan Zhang 001 (CoRR, 2021)

Special issue on intelligent computing methodologies in machine learning for IoT applications. - Jinghua Zhao 001; Junyu Xuan (Neural Comput. Appl., 2021)

A Fuzzy Word Similarity Measure for Selecting Top-$k$ Similar Words in Query Expansion. - Qian Liu 012; Heyan Huang; Junyu Xuan; Guangquan Zhang 001; Yang Gao 016; Jie Lu 001 (IEEE Trans. Fuzzy Syst., 2021)

Bayesian Nonparametric Unsupervised Concept Drift Detection for Data Stream Mining. - Junyu Xuan; Jie Lu 001; Guangquan Zhang 001 (ACM Trans. Intell. Syst. Technol., 2021)

Open Set Domain Adaptation: Theoretical Bound and Algorithm. - Zhen Fang 001; Jie Lu 001; Feng Liu 003; Junyu Xuan; Guangquan Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples. - Wei Duan 003; Junyu Xuan; Maoying Qiao; Jie Lu 001 (AAAI, 2022)

Transformed Successor Features for Transfer Reinforcement Learning. - Kiyoshige Garcés; Junyu Xuan; Hua Zuo (AI (2), 2023)

Mitigating Intrinsic Named Entity-Related Hallucinations of Abstractive Text Summarization. - Jianbin Shen; Junyu Xuan; Christy Jie Liang (EMNLP (Findings), 2023)

An Autonomous Non-monolithic Agent with Multi-mode Exploration based on Options Framework. - Jaeyoon Kim; Junyu Xuan; Christy Jie Liang; Farookh Khadeer Hussain (IJCNN, 2023)

A Determinantal Point Process Based Novel Sampling Method of Abstractive Text Summarization. - Jianbin Shen; Junyu Xuan; Christy Jie Liang (IJCNN, 2023)

Improving proximal policy optimization with alpha divergence. - Haotian Xu; Zheng Yan 001; Junyu Xuan; Guangquan Zhang 001; Jie Lu 001 (Neurocomputing, 2023)

DAFS: a domain aware few shot generative model for event detection. - Nan Xia; Hang Yu 006; Yin Wang; Junyu Xuan; Xiangfeng Luo (Mach. Learn., 2023)

Direct Learning With Multi-Task Neural Networks for Treatment Effect Estimation. - Fujin Zhu; Jie Lu 001; Adi Lin; Junyu Xuan; Guangquan Zhang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Concept Drift Detection Delay Index. - Anjin Liu; Jie Lu 001; Yiliao Song; Junyu Xuan; Guangquan Zhang 001 (IEEE Trans. Knowl. Data Eng., 2023)

LSTM Autoencoder-Based Deep Neural Networks for Barley Genotype-to-Phenotype Prediction. - Guanjin Wang; Junyu Xuan; Penghao Wang; Chengdao Li; Jie Lu 001 (AI (1), 2024)

Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning. - Wei Duan 003; Jie Lu 001; Junyu Xuan (IJCAI, 2024)

A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points. - Zihe Liu; Jie Lu 001; Guangquan Zhang 001; Junyu Xuan (IJCAI, 2024)

Decoupling Exploration and Exploitation for Unsupervised Pre-training with Successor Features. - Jaeyoon Kim; Junyu Xuan; Christy Jie Liang; Farookh Khadeer Hussain (IJCNN, 2024)

Improving the Factuality of Abstractive Text Summarization with Syntactic Structure-Aware Latent Semantic Space. - Jianbin Shen; Christy Jie Liang; Junyu Xuan (IJCNN, 2024)

Functional Wasserstein Bridge Inference for Bayesian Deep Learning. - Mengjing Wu; Junyu Xuan; Jie Lu 001 (UAI, 2024)

Functional Wasserstein Variational Policy Optimization. - Junyu Xuan; Mengjing Wu; Zihe Liu; Jie Lu 001 (UAI, 2024)

Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learning. - Wei Duan 003; Jie Lu 001; Junyu Xuan (CoRR, 2024)

A Non-Monolithic Policy Approach of Offline-to-Online Reinforcement Learning. - Jaeyoon Kim; Junyu Xuan; Christy Jie Liang; Farookh Khadeer Hussain (CoRR, 2024)

Trust region policy optimization via entropy regularization for Kullback-Leibler divergence constraint. - Haotian Xu; Junyu Xuan; Guangquan Zhang 001; Jie Lu 001 (Neurocomputing, 2024)

Layer-diverse Negative Sampling for Graph Neural Networks. - Wei Duan 003; Jie Lu 001; Yu Guang Wang 001; Junyu Xuan (Trans. Mach. Learn. Res., 2024)

Deep Reinforcement Learning in Nonstationary Environments With Unknown Change Points. - Zihe Liu; Jie Lu 001; Junyu Xuan; Guangquan Zhang 001 (IEEE Trans. Cybern., 2024)

Graph Convolutional Neural Networks With Diverse Negative Samples via Decomposed Determinant Point Processes. - Wei Duan 003; Junyu Xuan; Maoying Qiao; Jie Lu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Transfer Reinforcement Learning for Self-Regulated Learning Support: An Evaluation Using Successor Representations. - Kiyoshige Garcés; Gloria Milena Fernández Nieto; Mladen Rakovic; Xinyu Li 004; Tongguang Li; Linxuan Zhao; Dragan Gasevic; Junyu Xuan; Hua Zuo (AIED (6), 2025)

Functional Stochastic Gradient MCMC for Bayesian Neural Networks. - Mengjing Wu; Junyu Xuan; Jie Lu 001 (AISTATS, 2025)

Bridging the Gap between Variational Inference and Stochastic Gradient MCMC in Function Space. - Mengjing Wu; Junyu Xuan; Jie Lu 001 (ICLR, 2025)

SFSWTS: A spatial-frequency shifted windows and time self-attention network for EEG emotion recognition. - Weizhi Ma; Ying Li 039; Tianhao Li; Haowei Yang; Zhengping Li; Lijun Wang; Junyu Xuan (Neurocomputing, 2025)

Global-Local Decomposition of Contextual Representations in Meta-Reinforcement Learning. - Nelson Ma; Junyu Xuan; Guangquan Zhang 001; Jie Lu 001 (IEEE Trans. Cybern., 2025)

Learning Latent and Changing Dynamics in Real Non-Stationary Environments. - Zihe Liu; Jie Lu 001; Junyu Xuan; Guangquan Zhang 001 (IEEE Trans. Knowl. Data Eng., 2025)

Twin Trust Region Policy Optimization. - Haotian Xu; Junyu Xuan; Guangquan Zhang 001; Jie Lu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2025)