Lin Zheng

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Adaptive dual graph regularization for clustered multi-task learning.

Cheng Liu, Rui Li, Sentao Chen, Lin Zheng, Dazhi Jiang

Neurocomputing, March, 2024

Training multi-source domain adaptation network by mutual information estimation and minimization.

Lisheng Wen, Sentao Chen, Mengying Xie, Cheng Liu, Lin Zheng

Neural Networks, 2024

Maximum likelihood weight estimation for partial domain adaptation.

Lisheng Wen, Sentao Chen, Zijie Hong, Lin Zheng

Inf. Sci., 2024

2023

User view dynamic graph-driven sequential recommendation.

Jianzhen Chen, Lin Zheng, Sentao Chen

Knowl. Inf. Syst., June, 2023

Riemannian representation learning for multi-source domain adaptation.

Sentao Chen, Lin Zheng, Hanrui Wu

Pattern Recognit., May, 2023

Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation.

Naicheng Guo, Xiaolei Liu, Shaoshuai Li, Qiongxu Ma, Kaixin Gao, Bing Han, Lin Zheng, Sheng Guo, Xiaobo Guo

ACM Trans. Inf. Syst., 2023

2022

Exploration meets exploitation: Multitask learning for emotion recognition based on discrete and dimensional models.

Geng Tu, Jintao Wen, Hao Liu, Sentao Chen, Lin Zheng, Dazhi Jiang

Knowl. Based Syst., 2022

Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation.

Naicheng Guo, Xiaolei Liu, Shaoshuai Li, Qiongxu Ma, Kai-Xin Gao, Bing Han, Lin Zheng, Xiaobo Guo

CoRR, 2022

2021

A hybrid intelligent model for acute hypotensive episode prediction with large-scale data.

Dazhi Jiang, Geng Tu, Donghui Jin, Kaichao Wu, Cheng Liu, Lin Zheng, Teng Zhou

Inf. Sci., 2021

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

Guorong Xiao, Geng Tu, Lin Zheng, Teng Zhou, Xin Li, Syed Hassan Ahmed, Dazhi Jiang

IEEE Internet Things J., 2021

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

Dongmin Huang, Sentao Chen, Cheng Liu, Lin Zheng, Zhihang Tian, Dazhi Jiang

Neurocomputing, 2021

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

Naicheng Guo, Xiaolei Liu, Shaoshuai Li, Qiongxu Ma, Yunan Zhao, Bing Han, Lin Zheng, Kai-Xin Gao, Xiaobo Guo

CoRR, 2021

A Multitask Learning Framework for Multimodal Sentiment Analysis.

Dazhi Jiang, Runguo Wei, Hao Liu, Jintao Wen, Geng Tu, Lin Zheng, Erik Cambria

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.

Lin Zheng, Naicheng Guo, Jin Yu, Dazhi Jiang

IEEE Access, 2020

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

Dazhi Jiang, Zhichao Liu, Lin Zheng, Jianwei Chen

IEEE Access, 2020

Sentiment-guided Sequential Recommendation.

Lin Zheng, Naicheng Guo, Weihao Chen, Jin Yu, Dazhi Jiang

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.

Lin Zheng, Fuxi Zhu, Sheng Huang, Jin Xie

Inf. Sci., 2017

Attribute and Global Boosting: A Rating Prediction Method in Context-Aware Recommendation.

Lin Zheng, Fuxi Zhu, Alshahrani Mohammed

Comput. J., 2017

Preference Integration in Context-Aware Recommendation.

Lin Zheng, Fuxi Zhu

Proceedings of the Database Systems for Advanced Applications, 2017