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ORCIDLin Zheng 0003
Person information
- affiliation: Shantou University, Department of Computer Science, China
- affiliation: Hong Kong Baptist University, Department of Computer Science, Hong Kong
- affiliation (PhD 2017): Wuhan University, Computer School, China
Other persons with the same name
- Lin Zheng — disambiguation page
- Lin Zheng 0001
![[0000-0003-2918-6067]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-2918-6067")
— Guilin University of Electronic Technology, Key Laboratory of Wireless Wideband Communications and Signal Processing, China (and 2 more) - Lin Zheng 0002 — University of Waterloo, Department of Electrical and Computer Engineering, Ontario, Canada (and 1 more)
- Lin Zheng 0004 — University of California at San Diego, Department of Mathematics, CA, USA (and 1 more)
- Lin Zheng 0005 — Air Force Engineering University, Department of Basic Sciences, China (and 1 more)
- Lin Zheng 0006 — Shanghai University, Department of Mathematics, China
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2020 – today
- 2024
[j13]Cheng Liu, Rui Li, Sentao Chen, Lin Zheng, Dazhi Jiang:
Adaptive dual graph regularization for clustered multi-task learning. Neurocomputing 574: 127259 (2024)- [j12]Lisheng Wen, Sentao Chen, Mengying Xie, Cheng Liu, Lin Zheng:
Training multi-source domain adaptation network by mutual information estimation and minimization. Neural Networks 171: 353-361 (2024) - 2023
- [j11]Jianzhen Chen, Lin Zheng, Sentao Chen:
User view dynamic graph-driven sequential recommendation. Knowl. Inf. Syst. 65(6): 2541-2569 (2023) - [j10]Sentao Chen, Lin Zheng, Hanrui Wu:
Riemannian representation learning for multi-source domain adaptation. Pattern Recognit. 137: 109271 (2023) - [j9]Naicheng Guo, Xiaolei Liu, Shaoshuai Li, Qiongxu Ma, Kaixin Gao, Bing Han, Lin Zheng, Sheng Guo, Xiaobo Guo:
Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation. ACM Trans. Inf. Syst. 41(3): 63:1-63:26 (2023) - 2022
- [j8]Geng Tu, Jintao Wen, Hao Liu, Sentao Chen, Lin Zheng, Dazhi Jiang:
Exploration meets exploitation: Multitask learning for emotion recognition based on discrete and dimensional models. Knowl. Based Syst. 235: 107598 (2022) - [i2]Naicheng Guo, Xiaolei Liu, Shaoshuai Li, Qiongxu Ma, Kai-Xin Gao, Bing Han, Lin Zheng, Xiaobo Guo:
Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation. CoRR abs/2205.11233 (2022) - 2021
- [j7]Dongmin Huang, Sentao Chen, Cheng Liu, Lin Zheng, Zhihang Tian, Dazhi Jiang:
Differences first in asymmetric brain: A bi-hemisphere discrepancy convolutional neural network for EEG emotion recognition. Neurocomputing 448: 140-151 (2021) - [j6]Guorong Xiao, Geng Tu, Lin Zheng, Teng Zhou, Xin Li, Syed Hassan Ahmed, Dazhi Jiang:
Multimodality Sentiment Analysis in Social Internet of Things Based on Hierarchical Attentions and CSAT-TCN With MBM Network. IEEE Internet Things J. 8(16): 12748-12757 (2021) - [j5]Dazhi Jiang, Geng Tu, Donghui Jin, Kaichao Wu, Cheng Liu, Lin Zheng, Teng Zhou:
A hybrid intelligent model for acute hypotensive episode prediction with large-scale data. Inf. Sci. 546: 787-802 (2021) - [c3]Dazhi Jiang, Runguo Wei, Hao Liu, Jintao Wen, Geng Tu, Lin Zheng, Erik Cambria:
A Multitask Learning Framework for Multimodal Sentiment Analysis. ICDM (Workshops) 2021: 151-157 - [i1]Naicheng Guo, Xiaolei Liu, Shaoshuai Li, Qiongxu Ma, Yunan Zhao, Bing Han, Lin Zheng, Kai-Xin Gao, Xiaobo Guo:
HCGR: Hyperbolic Contrastive Graph Representation Learning for Session-based Recommendation. CoRR abs/2107.05366 (2021) - 2020
- [j4]Dazhi Jiang, Zhichao Liu, Lin Zheng, Jianwei Chen:
Factorization Meets Neural Networks: A Scalable and Efficient Recommender for Solving the New User Problem. IEEE Access 8: 18350-18361 (2020) - [j3]Lin Zheng, Naicheng Guo, Jin Yu, Dazhi Jiang:
Memory Reorganization: A Symmetric Memory Network for Reorganizing Neighbors and Topics to Complete Rating Prediction. IEEE Access 8: 81876-81886 (2020) - [c2]Lin Zheng, Naicheng Guo, Weihao Chen, Jin Yu, Dazhi Jiang:
Sentiment-guided Sequential Recommendation. SIGIR 2020: 1957-1960
2010 – 2019
- 2017
- [j2]Lin Zheng, Fuxi Zhu, Alshahrani Mohammed:
Attribute and Global Boosting: A Rating Prediction Method in Context-Aware Recommendation. Comput. J. 60(7): 957-968 (2017) - [j1]Lin Zheng, Fuxi Zhu, Sheng Huang, Jin Xie:
Context Neighbor Recommender: Integrating contexts via neighbors for recommendations. Inf. Sci. 414: 1-18 (2017) - [c1]Lin Zheng, Fuxi Zhu:
Preference Integration in Context-Aware Recommendation. DASFAA (1) 2017: 475-489
Coauthor Index
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last updated on 2024-06-03 02:32 CEST by the dblp team
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