Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Fulfillment-Time-Aware Personalized Ranking for On-Demand Food Recommendation.

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[DOI]

Haishuai Wang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Semi-Discrete Social Recommendation (Student Abstract).

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[DOI]

Fangyuan Luo

Jun Wu

Haishuai Wang

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

2020

Social Recommendation With Evolutionary Opinion Dynamics.

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[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2020

Time-Variant Graph Classification.

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[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2020

Automatic Assessment of Depression From Speech via a Hierarchical Attention Transfer Network and Attention Autoencoders.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2020

Semi-discrete Matrix Factorization.

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[DOI]

IEEE Intell. Syst., 2020

Classification of Lung Nodules Based on Deep Residual Networks and Migration Learning.

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[DOI]

Comput. Intell. Neurosci., 2020

IEEE Access Special Section Editorial: Advanced Data Mining Methods for Social Computing.

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[DOI]

IEEE Access, 2020

Hybrid Network Feature Extraction for Depression Assessment from Speech.

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[DOI]

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Hierarchical Attention Transfer Networks for Depression Assessment from Speech.

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[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification.

[BibT_eX]

[DOI]

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

2019

Learning Shapelet Patterns from Network-Based Time Series.

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[DOI]

IEEE Trans. Ind. Informatics, 2019

Time series feature learning with labeled and unlabeled data.

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[DOI]

Pattern Recognit., 2019

Neural Binary Representation Learning for Large-Scale Collaborative Filtering.

[BibT_eX]

[DOI]

Yujia Zhang

Jun Wu

Haishuai Wang

IEEE Access, 2019

IEEE Access Special Section Editorial: Advanced Data Analytics for Large-Scale Complex Data Environments.

[BibT_eX]

[DOI]

IEEE Access, 2019

Attention-Enhanced Connectionist Temporal Classification for Discrete Speech Emotion Recognition.

[BibT_eX]

[DOI]

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Autism Screening Using Deep Embedding Representation.

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[DOI]

Proceedings of the Computational Science - ICCS 2019, 2019

2018

Predicting Hospital Readmission via Cost-Sensitive Deep Learning.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Binary Collaborative Filtering Ensemble.

[BibT_eX]

[DOI]

Yujia Zhang

Jun Wu

Haishuai Wang

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

Exploring Spatio-Temporal Representations by Integrating Attention-based Bidirectional-LSTM-RNNs and FCNs for Speech Emotion Recognition.

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[DOI]

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

2017

Incremental Subgraph Feature Selection for Graph Classification.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2017

Towards large-scale social networks with online diffusion provenance detection.

[BibT_eX]

[DOI]

Comput. Networks, 2017

A Fast Interactive Item-Based Collaborative Filtering Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Theoretical Computer Science - 35th National Conference, 2017

A Survey of Personalised Image Retrieval and Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Theoretical Computer Science - 35th National Conference, 2017

Universal network representation for heterogeneous information networks.

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[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Clickthrough refinement for improved graph ranking.

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[DOI]

Yu He

Jun Wu

Haishuai Wang

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Boosting for Real-Time Multivariate Time Series Classification.

[BibT_eX]

[DOI]

Haishuai Wang

Jun Wu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Time-variant graph learning and classification

[BibT_eX]

[DOI]

Haishuai Wang

PhD thesis, 2016

Time-Variant Graph Classification.

[BibT_eX]

[DOI]

CoRR, 2016

Mining subcascade features for cascade outbreak prediction in big networks.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Evolutionary lazy learning for Naive Bayes classification.

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[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Locally Weighted Learning: How and When Does it Work in Bayesian Networks?

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[DOI]

Int. J. Comput. Intell. Syst., 2015

Online diffusion source detection in social networks.

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[DOI]

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Mining Top-k Minimal Redundancy Frequent Patterns over Uncertain Databases.

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[DOI]

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Defragging Subgraph Features for Graph Classification.

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[DOI]

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

SocialAnalysis: A Real-Time Query and Mining System from Social Media Data Streams.

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[DOI]

Proceedings of the Databases Theory and Applications, 2015

2014

Learning with both unlabeled data and query logs for image search.

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[DOI]

Comput. Electr. Eng., 2014

Haishuai Wang

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