Shaoshuai Li

Orcid: 0000-0003-2949-668X

According to our database1, Shaoshuai Li authored at least 20 papers between 2012 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Multi-Task Learning with Sequential Dependence Toward Industrial Applications: A Systematic Formulation.
ACM Trans. Knowl. Discov. Data, June, 2024

Semi-Supervised Heterogeneous Graph Learning with Multi-Level Data Augmentation.
ACM Trans. Knowl. Discov. Data, February, 2024

HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk Prediction.
ACM Trans. Knowl. Discov. Data, January, 2024

Deep learning in cropland field identification: A review.
Comput. Electron. Agric., 2024

2023
Disentangled Representations Learning for Multi-target Cross-domain Recommendation.
ACM Trans. Inf. Syst., October, 2023

Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation.
ACM Trans. Inf. Syst., 2023

Towards Universal Cross-Domain Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Neural Node Matching for Multi-Target Cross Domain Recommendation.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

MHSCNET: A Multimodal Hierarchical Shot-Aware Convolutional Network for Video Summarization.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Semi-Supervised Heterogeneous Graph Learning with Multi-level Data Augmentation.
CoRR, 2022

Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation.
CoRR, 2022

MHSCNet: A Multimodal Hierarchical Shot-aware Convolutional Network for Video Summarization.
CoRR, 2022

A Hybrid Model for Power-on Time Prediction in LF Based on Deep Neural Network and Metallurgical Mechanism.
Proceedings of the 15th International Symposium on Computational Intelligence and Design, 2022

2021
Stiffness optimisation of graded microstructal configurations using asymptotic analysis and machine learning.
CoRR, 2021

HCGR: Hyperbolic Contrastive Graph Representation Learning for Session-based Recommendation.
CoRR, 2021

Optimisation of spatially varying orthotropic porous structures based on conformal mapping.
CoRR, 2021

2019
On speeding up an asymptotic-analysis-based homogenisation scheme for designing gradient porous structured materials using a zoning strategy.
CoRR, 2019

SVNet: A Single View Network for 3D Shape Recognition.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

2018
Research of Science and Technology Strategic Base on the International Technology Roadmap for Semiconductors.
Proceedings of the International Conference on Electronics and Electrical Engineering Technology, 2018

2012
Ontology-based modeling of manufacturing information and its semantic retrieval.
Proceedings of the IEEE 16th International Conference on Computer Supported Cooperative Work in Design, 2012


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