2025
Learning Latent and Changing Dynamics in Real Non-Stationary Environments.
IEEE Trans. Knowl. Data Eng., April, 2025
Global-Local Decomposition of Contextual Representations in Meta-Reinforcement Learning.
IEEE Trans. Cybern., March, 2025
SFSWTS: A spatial-frequency shifted windows and time self-attention network for EEG emotion recognition.
Neurocomputing, 2025
Bridging the Gap between Variational Inference and Stochastic Gradient MCMC in Function Space.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
2024
Graph Convolutional Neural Networks With Diverse Negative Samples via Decomposed Determinant Point Processes.
IEEE Trans. Neural Networks Learn. Syst., December, 2024
Deep Reinforcement Learning in Nonstationary Environments With Unknown Change Points.
IEEE Trans. Cybern., September, 2024
Layer-diverse Negative Sampling for Graph Neural Networks.
Trans. Mach. Learn. Res., 2024
Trust region policy optimization via entropy regularization for Kullback-Leibler divergence constraint.
Neurocomputing, 2024
A Non-Monolithic Policy Approach of Offline-to-Online Reinforcement Learning.
CoRR, 2024
Functional Stochastic Gradient MCMC for Bayesian Neural Networks.
CoRR, 2024
Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learning.
CoRR, 2024
Functional Wasserstein Variational Policy Optimization.
Proceedings of the Uncertainty in Artificial Intelligence, 2024
Functional Wasserstein Bridge Inference for Bayesian Deep Learning.
Proceedings of the Uncertainty in Artificial Intelligence, 2024
Improving the Factuality of Abstractive Text Summarization with Syntactic Structure-Aware Latent Semantic Space.
Proceedings of the International Joint Conference on Neural Networks, 2024
Decoupling Exploration and Exploitation for Unsupervised Pre-training with Successor Features.
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.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
LSTM Autoencoder-Based Deep Neural Networks for Barley Genotype-to-Phenotype Prediction.
Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024
2023
Concept Drift Detection Delay Index.
IEEE Trans. Knowl. Data Eng., May, 2023
Direct Learning With Multi-Task Neural Networks for Treatment Effect Estimation.
IEEE Trans. Knowl. Data Eng., March, 2023
DAFS: a domain aware few shot generative model for event detection.
Mach. Learn., March, 2023
Improving proximal policy optimization with alpha divergence.
Neurocomputing, 2023
A Determinantal Point Process Based Novel Sampling Method of Abstractive Text Summarization.
Proceedings of the International Joint Conference on Neural Networks, 2023
An Autonomous Non-monolithic Agent with Multi-mode Exploration based on Options Framework.
Proceedings of the International Joint Conference on Neural Networks, 2023
Mitigating Intrinsic Named Entity-Related Hallucinations of Abstractive Text Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Transformed Successor Features for Transfer Reinforcement Learning.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023
2022
Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Open Set Domain Adaptation: Theoretical Bound and Algorithm.
IEEE Trans. Neural Networks Learn. Syst., 2021
Bayesian Nonparametric Unsupervised Concept Drift Detection for Data Stream Mining.
ACM Trans. Intell. Syst. Technol., 2021
A Fuzzy Word Similarity Measure for Selecting Top-$k$ Similar Words in Query Expansion.
IEEE Trans. Fuzzy Syst., 2021
Special issue on intelligent computing methodologies in machine learning for IoT applications.
Neural Comput. Appl., 2021
Bayesian Transfer Learning: An Overview of Probabilistic Graphical Models for Transfer Learning.
CoRR, 2021
Deep Bayesian Estimation for Dynamic Treatment Regimes with a Long Follow-up Time.
CoRR, 2021
Hierarchical Reinforcement Learning with Optimal Level Synchronization based on a Deep Generative Model.
CoRR, 2021
Negative Samples-enhanced Graph Convolutional Neural Networks.
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.
World Wide Web, 2020
A Causal Dirichlet Mixture Model for Causal Inference from Observational Data.
ACM Trans. Intell. Syst. Technol., 2020
Path Integral Based Convolution and Pooling for Graph Neural Networks.
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.
ACM Comput. Surv., 2019
Cooperative hierarchical Dirichlet processes: Superposition vs. maximization.
Artif. Intell., 2019
One-Stage Deep Instrumental Variable Method for Causal Inference from Observational Data.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
2018
Doubly Nonparametric Sparse Nonnegative Matrix Factorization Based on Dependent Indian Buffet Processes.
IEEE Trans. Neural Networks Learn. Syst., 2018
Structural property-aware multilayer network embedding for latent factor analysis.
Pattern Recognit., 2018
Bayesian Deep Reinforcement Learning via Deep Kernel Learning.
Int. J. Comput. Intell. Syst., 2018
Semantic Structure-Based Word Embedding by Incorporating Concept Convergence and Word Divergence.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Bayesian Nonparametric Relational Topic Model through Dependent Gamma Processes.
IEEE Trans. Knowl. Data Eng., 2017
Crowdsourcing based social media data analysis of urban emergency events.
Multim. Tools Appl., 2017
A Bayesian nonparametric model for multi-label learning.
Mach. Learn., 2017
Discover Semantic Topics in Patents within a Specific Domain.
J. Web Eng., 2017
Association Link Network Based Semantic Coherence Measurement for Short Texts of Web Events.
J. Web Eng., 2017
Building spatial temporal relation graph of concepts pair using web repository.
Inf. Syst. Frontiers, 2017
Explicitly and implicitly exploiting the hierarchical structure for mining website interests on news events.
Inf. Sci., 2017
Crowdsourcing-based timeline description of urban emergency events using social media.
Int. J. Ad Hoc Ubiquitous Comput., 2017
Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization.
CoRR, 2017
Sentiment Computing for the News Event Based on the Social Media Big Data.
IEEE Access, 2017
2016
Bayesian nonparametric learning for complicated text mining
PhD thesis, 2016
Uncertainty Analysis for the Keyword System of Web Events.
IEEE Trans. Syst. Man Cybern. Syst., 2016
Measuring the Semantic Uncertainty of News Events for Evolution Potential Estimation.
ACM Trans. Inf. Syst., 2016
Cognitive memory-inspired sentence ordering model.
Knowl. Based Syst., 2016
Discovering the core semantics of event from social media.
Future Gener. Comput. Syst., 2016
Building knowledge base of urban emergency events based on crowdsourcing of social media.
Concurr. Comput. Pract. Exp., 2016
2015
Topic Model for Graph Mining.
IEEE Trans. Cybern., 2015
Bayesian Based Type Discrimination of Web Events.
J. Web Eng., 2015
Nonparametric Relational Topic Models through Dependent Gamma Processes.
CoRR, 2015
Nonnegative Multi-level Network Factorization for Latent Factor Analysis.
CoRR, 2015
Online hot event discovery based on Association Link Network.
Concurr. Comput. Pract. Exp., 2015
Temporal Learning of Semantic Relations between Concepts Using Web Repository.
Proceedings of the 11th International Conference on Semantics, Knowledge and Grids, 2015
Infinite Author Topic Model Based on Mixed Gamma-Negative Binomial Process.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
2014
Discovering small-world in association link networks for association learning.
World Wide Web, 2014
Web Event State Prediction Model: Combining Prior Knowledge with Real Time Data.
J. Web Eng., 2014
Website Interaction Network.
J. Organ. Comput. Electron. Commer., 2014
Extension of similarity measures in VSM: From orthogonal coordinate system to affine coordinate system.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Cognition-Based Semantic Annotation for Web Images.
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.
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.
Proceedings of the IEEE Ninth International Conference on Dependable, 2011