Lin Zheng

Orcid: 0000-0002-1376-075X

Affiliations:
  • Shantou University, Department of Computer Science, China
  • Hong Kong Baptist University, Department of Computer Science, Hong Kong
  • Wuhan University, Computer School, China (PhD 2017)


According to our database1, Lin Zheng authored at least 19 papers between 2017 and 2024.

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Timeline

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Bibliography

2024
Adaptive dual graph regularization for clustered multi-task learning.
Neurocomputing, March, 2024

Training multi-source domain adaptation network by mutual information estimation and minimization.
Neural Networks, 2024

Maximum likelihood weight estimation for partial domain adaptation.
Inf. Sci., 2024

2023
User view dynamic graph-driven sequential recommendation.
Knowl. Inf. Syst., June, 2023

Riemannian representation learning for multi-source domain adaptation.
Pattern Recognit., May, 2023

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

2022
Exploration meets exploitation: Multitask learning for emotion recognition based on discrete and dimensional models.
Knowl. Based Syst., 2022

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

2021
A hybrid intelligent model for acute hypotensive episode prediction with large-scale data.
Inf. Sci., 2021

Multimodality Sentiment Analysis in Social Internet of Things Based on Hierarchical Attentions and CSAT-TCN With MBM Network.
IEEE Internet Things J., 2021

Differences first in asymmetric brain: A bi-hemisphere discrepancy convolutional neural network for EEG emotion recognition.
Neurocomputing, 2021

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

A Multitask Learning Framework for Multimodal Sentiment Analysis.
Proceedings of the 2021 International Conference on Data Mining, 2021

2020
Memory Reorganization: A Symmetric Memory Network for Reorganizing Neighbors and Topics to Complete Rating Prediction.
IEEE Access, 2020

Factorization Meets Neural Networks: A Scalable and Efficient Recommender for Solving the New User Problem.
IEEE Access, 2020

Sentiment-guided Sequential Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

2017
Context Neighbor Recommender: Integrating contexts via neighbors for recommendations.
Inf. Sci., 2017

Attribute and Global Boosting: A Rating Prediction Method in Context-Aware Recommendation.
Comput. J., 2017

Preference Integration in Context-Aware Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2017


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