Hao Wang

Orcid: 0000-0001-9492-3807

Affiliations:

Sichuan University (SCU), College of Computer Science, Chengdu, China
Zhejiang Lab, Hangzhou, China (former)
Nanyang Technological University, Singapore (former)
Southwest Jiaotong University, School of Information Science and Technology, Chengdu, China (former, PhD)

According to our database¹, Hao Wang authored at least 36 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Cross-Regional Fraud Detection via Continual Learning With Knowledge Transfer.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2024

CityTrans: Domain-Adversarial Training With Knowledge Transfer for Spatio-Temporal Prediction Across Cities.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., January, 2024

Hi-Core: Hierarchical Knowledge Transfer for Continual Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Overcoming Spatial-Temporal Catastrophic Forgetting for Federated Class-Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Personalized Federated Continual Learning via Multi-Granularity Prompt.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Beyond the Commute: Unlocking the Potential of Electric Vehicles as Future Energy Storage Solutions (Vision Paper).

[BibT_eX]

[DOI]

Muhammad Aamir Cheema

Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024

Learning to Prompt Knowledge Transfer for Open-World Continual Learning.

[BibT_eX]

[DOI]

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

2023

Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries.

[BibT_eX]

[DOI]

Proc. ACM Manag. Data, December, 2023

Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning.

[BibT_eX]

[DOI]

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

Feature Selection With Local Density-Based Fuzzy Rough Set Model for Noisy Data.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., May, 2023

Federated Continual Learning via Knowledge Fusion: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Methods for Acquiring and Incorporating Knowledge into Stock Price Prediction: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Debunking Free Fusion Myth: Online Multi-view Anomaly Detection with Disentangled Product-of-Experts Modeling.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Urban Region Representation Learning with OpenStreetMap Building Footprints.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

CoSaR: Combating Label Noise Using Collaborative Sample Selection and Adversarial Regularization.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2021

Local2Global: Unsupervised multi-view deep graph representation learning with Nearest Neighbor Constraint.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Multi-view clustering via deep concept factorization.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Deep matrix factorization with knowledge transfer for lifelong clustering and semi-supervised clustering.

[BibT_eX]

[DOI]

Inf. Sci., 2021

CMC: A consensus multi-view clustering model for predicting Alzheimer's disease progression.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2021

Multi-city traffic flow forecasting via multi-task learning.

[BibT_eX]

[DOI]

Appl. Intell., 2021

2020

GMC: Graph-Based Multi-View Clustering.

[BibT_eX]

[DOI]

Hao Wang

Yan Yang

Bing Liu

IEEE Trans. Knowl. Data Eng., 2020

Parallel multi-view concept clustering in distributed computing.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2020

Bayes-enhanced Lifelong Attention Networks for Sentiment Classification.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Entity-Aware Dependency-Based Deep Graph Attention Network for Comparative Preference Classification.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

A study of graph-based system for multi-view clustering.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

Consensus Graph Learning for Incomplete Multi-view Clustering.

[BibT_eX]

[DOI]

Wei Zhou

Hao Wang

Yan Yang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Discovering Senile Dementia from Brain MRI Using Ra-DenseNet.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Spectral Perturbation Meets Incomplete Multi-view Data.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Learning with Noisy Labels for Sentence-level Sentiment Classification.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Partially Shared Adversarial Learning For Semi-supervised Multi-platform User Identity Linkage.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Deep Neural Networks with Broad Views for Parkinson's Disease Screening.