Jing Zhao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Knowledge graph relation reasoning with variational reinforcement network.

[BibT_eX]

[DOI]

Inf. Fusion, December, 2023

Fair Transfer Learning with Factor Variational Auto-Encoder.

[BibT_eX]

[DOI]

Shaofan Liu

Neural Process. Lett., June, 2023

Concept Drift Adaptation for Time Series Anomaly Detection via Transformer.

[BibT_eX]

[DOI]

Neural Process. Lett., June, 2023

Variational Hybrid Monte Carlo for Efficient Multi-Modal Data Sampling.

[BibT_eX]

[DOI]

Entropy, April, 2023

Knowledge enhanced zero-resource machine translation using image-pivoting.

[BibT_eX]

[DOI]

Appl. Intell., April, 2023

Multi-modal policy fusion for end-to-end autonomous driving.

[BibT_eX]

[DOI]

Inf. Fusion, 2023

MST-GAT: A multimodal spatial-temporal graph attention network for time series anomaly detection.

[BibT_eX]

[DOI]

Inf. Fusion, 2023

Effective Domain Adaptation for Robust Dysarthric Speech Recognition.

[BibT_eX]

[DOI]

Shanhu Wang

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

Conditional Random Fields for Multiview Sequential Data Modeling.

[BibT_eX]

[DOI]

Ziang Dong

IEEE Trans. Neural Networks Learn. Syst., 2022

MFIALane: Multiscale Feature Information Aggregator Network for Lane Detection.

[BibT_eX]

[DOI]

Zengyu Qiu

IEEE Trans. Intell. Transp. Syst., 2022

Multi-view multi-label active learning with conditional Bernoulli mixtures.

[BibT_eX]

[DOI]

Zengyu Qiu

Int. J. Mach. Learn. Cybern., 2022

Diverse Machine Translation with Translation Memory.

[BibT_eX]

[DOI]

Yi Zhang

Proceedings of the International Joint Conference on Neural Networks, 2022

Robust Cross-Modal Retrieval by Adversarial Training.

[BibT_eX]

[DOI]

Tao Zhang

Proceedings of the International Joint Conference on Neural Networks, 2022

Multi-Modal Adversarial Example Detection with Transformer.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

TiRGN: Time-Guided Recurrent Graph Network with Local-Global Historical Patterns for Temporal Knowledge Graph Reasoning.

[BibT_eX]

[DOI]

Yujia Li

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Enhancing Unsupervised Domain Adaptation via Semantic Similarity Constraint for Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Stick-Breaking Dependent Beta Processes with Variational Inference.

[BibT_eX]

[DOI]

Zehui Cao

Neural Process. Lett., 2021

Variational multimodal machine translation with underlying semantic alignment.

[BibT_eX]

[DOI]

Inf. Fusion, 2021

Variational Beta Process Hidden Markov Models with Shared Hidden States for Trajectory Recognition.

[BibT_eX]

[DOI]

Entropy, 2021

Resilient Abstractive Summarization Model with Adaptively Weighted Training Loss.

[BibT_eX]

[DOI]

Shiqi Guo

Proceedings of the International Joint Conference on Neural Networks, 2021

A Sequential Contrastive Learning Framework for Robust Dysarthric Speech Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Multi-Task Transformer with Input Feature Reconstruction for Dysarthric Speech Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

ASHF-Net: Adaptive Sampling and Hierarchical Folding Network for Robust Point Cloud Completion.

[BibT_eX]

[DOI]

Daoming Zong

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A Survey of Optimization Methods From a Machine Learning Perspective.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2020

Attentive multi-view reinforcement learning.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2020

Promoting active learning with mixtures of Gaussian processes.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Probabilistic inference of Bayesian neural networks with generalized expectation propagation.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Multi-view Deep Gaussian Process with a Pre-training Acceleration Technique.

[BibT_eX]

[DOI]

Han Zhu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Bayesian Adversarial Attack on Graph Neural Networks (Student Abstract).

[BibT_eX]

[DOI]

Xiao Liu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Multi-View Deep Attention Network for Reinforcement Learning (Student Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A Variant of Gaussian Process Dynamical Systems.

[BibT_eX]

[DOI]

Jingjing Fei

CoRR, 2019

A Conditional Random Fields Based Framework for Multiview Sequential Data Modeling.

[BibT_eX]

[DOI]

Ziang Dong

Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018

Multi-label Active Learning with Conditional Bernoulli Mixtures.

[BibT_eX]

[DOI]

Junyu Chen

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Intelligent Educational Data Analysis with Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Active Learning Methods with Deep Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

Multi-view learning overview: Recent progress and new challenges.

[BibT_eX]

[DOI]

Inf. Fusion, 2017

Educational and Non-educational Text Classification Based on Deep Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Variational hidden conditional random fields with beta processes.

[BibT_eX]

[DOI]

Chen Luo

Proceedings of the 13th International Conference on Natural Computation, 2017

2016

High-Order Gaussian Process Dynamical Models for Traffic Flow Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2016

Variational Dependent Multi-output Gaussian Process Dynamical Systems.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2016

Key Course Selection for Academic Early Warning Based on Gaussian Processes.

[BibT_eX]

[DOI]

Min Yin

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016

2015

Modeling and recognizing human trajectories with beta process hidden Markov models.

[BibT_eX]

[DOI]

Qingbin Gao

Pattern Recognit., 2015

A review of Nyström methods for large-scale machine learning.

[BibT_eX]

[DOI]

Jiang Zhu

Inf. Fusion, 2015

Revisiting Gaussian Process Dynamical Models.

[BibT_eX]

[DOI]