Haokai Ma

Orcid: 0000-0002-4621-5213

According to our database1, Haokai Ma authored at least 14 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Skeleton-based multi-stream adaptive-attentional sub-graph convolution network for action recognition.
Multim. Tools Appl., January, 2024

Plug-In Diffusion Model for Sequential Recommendation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Triple Sequence Learning for Cross-domain Recommendation.
CoRR, 2023

Exploring False Hard Negative Sample in Cross-Domain Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Cross-Modal Content Inference and Feature Enrichment for Cold-Start Recommendation.
Proceedings of the International Joint Conference on Neural Networks, 2023

Unsupervised Segmentation of Haze Regions as Hard Attention for Haze Classification.
Proceedings of the Image and Graphics - 12th International Conference, 2023

2022
Unsupervised Contrastive Masking for Visual Haze Classification.
Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

A Visually-Aware Food Analysis System for Diet Management.
Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2022

VAFA: A Visually-Aware Food Analysis System for Socially-Engaged Diet Management.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

Causal Inference with Sample Balancing for Out-of-Distribution Detection in Visual Classification.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

Prompt Learning with Cross-Modal Feature Alignment for Visual Domain Adaptation.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021
Exploring the effect of virtual reality relaxation environment on white coat hypertension in blood pressure measurement.
J. Biomed. Informatics, 2021

Comparative Study of Adversarial Training Methods for Cold-Start Recommendation.
Proceedings of the ADVM '21: Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia, 2021

Comparative Study of Adversarial Training Methods for Long-tailed Classification.
Proceedings of the ADVM '21: Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia, 2021


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