Lin Zheng

21 papers A* 1Journal 18Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Open-Set Domain Adaptation by Joint Distribution Alignment and Unknown Risk Minimization.
Pattern Recognit.
Lisheng Wen, Sentao Chen, Lin Zheng, Ping Xuan
2025 J jnl
Recurrent-optimized user association representation for multi-target cross-domain sequential recommendation.
Knowl. Inf. Syst.
Nuo Chen, Lin Zheng, Sentao Chen
2024 J jnl
Adaptive dual graph regularization for clustered multi-task learning.
Neurocomputing
Cheng Liu, Rui Li, Sentao Chen, Lin Zheng, Dazhi Jiang
2024 J jnl
Maximum likelihood weight estimation for partial domain adaptation.
Inf. Sci.
Lisheng Wen, Sentao Chen, Zijie Hong, Lin Zheng
2024 J jnl
Training multi-source domain adaptation network by mutual information estimation and minimization.
Neural Networks
Lisheng Wen, Sentao Chen, Mengying Xie, Cheng Liu, Lin Zheng
2023 J jnl
Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation.
ACM Trans. Inf. Syst.
Naicheng Guo, Xiaolei Liu, Shaoshuai Li, Qiongxu Ma, Kaixin Gao, Bing Han, Lin Zheng, Sheng Guo, Xiaobo Guo
2023 J jnl
Riemannian representation learning for multi-source domain adaptation.
Pattern Recognit.
Sentao Chen, Lin Zheng, Hanrui Wu
2023 J jnl
User view dynamic graph-driven sequential recommendation.
Knowl. Inf. Syst.
Jianzhen Chen, Lin Zheng, Sentao Chen
2022 J jnl
Exploration meets exploitation: Multitask learning for emotion recognition based on discrete and dimensional models.
Knowl. Based Syst.
Geng Tu, Jintao Wen, Hao Liu, Sentao Chen, Lin Zheng, Dazhi Jiang
2022 J jnl
Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation.
CoRR
Naicheng Guo, Xiaolei Liu, Shaoshuai Li, Qiongxu Ma, Kai-Xin Gao, Bing Han, Lin Zheng, Xiaobo Guo
2021 — conf
A Multitask Learning Framework for Multimodal Sentiment Analysis.
ICDM (Workshops)
Dazhi Jiang, Runguo Wei, Hao Liu, Jintao Wen, Geng Tu, Lin Zheng, Erik Cambria
2021 J jnl
A hybrid intelligent model for acute hypotensive episode prediction with large-scale data.
Inf. Sci.
Dazhi Jiang, Geng Tu, Donghui Jin, Kaichao Wu, Cheng Liu, Lin Zheng, Teng Zhou
2021 J jnl
Differences first in asymmetric brain: A bi-hemisphere discrepancy convolutional neural network for EEG emotion recognition.
Neurocomputing
Dongmin Huang, Sentao Chen, Cheng Liu, Lin Zheng, Zhihang Tian, Dazhi Jiang
2021 J jnl
HCGR: Hyperbolic Contrastive Graph Representation Learning for Session-based Recommendation.
CoRR
Naicheng Guo, Xiaolei Liu, Shaoshuai Li, Qiongxu Ma, Yunan Zhao, Bing Han, Lin Zheng, Kai-Xin Gao, Xiaobo Guo
2021 J jnl
Multimodality Sentiment Analysis in Social Internet of Things Based on Hierarchical Attentions and CSAT-TCN With MBM Network.
IEEE Internet Things J.
Guorong Xiao, Geng Tu, Lin Zheng, Teng Zhou, Xin Li, Syed Hassan Ahmed, Dazhi Jiang
2020 J jnl
Factorization Meets Neural Networks: A Scalable and Efficient Recommender for Solving the New User Problem.
IEEE Access
Dazhi Jiang, Zhichao Liu, Lin Zheng, Jianwei Chen
2020 J jnl
Memory Reorganization: A Symmetric Memory Network for Reorganizing Neighbors and Topics to Complete Rating Prediction.
IEEE Access
Lin Zheng, Naicheng Guo, Jin Yu, Dazhi Jiang
2020 A* conf
Sentiment-guided Sequential Recommendation.
SIGIR
Lin Zheng, Naicheng Guo, Weihao Chen, Jin Yu, Dazhi Jiang
2017 J jnl
Attribute and Global Boosting: A Rating Prediction Method in Context-Aware Recommendation.
Comput. J.
Lin Zheng, Fuxi Zhu, Alshahrani Mohammed
2017 J jnl
Context Neighbor Recommender: Integrating contexts via neighbors for recommendations.
Inf. Sci.
Lin Zheng, Fuxi Zhu, Sheng Huang, Jin Xie
2017 — conf
Preference Integration in Context-Aware Recommendation.
DASFAA (1)
Lin Zheng, Fuxi Zhu