Duantengchuan Li

According to our database, Duantengchuan Li authored at least 17 papers between 2021 and 2024.

Collaborative distances:

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

2024

FHCPL: An Intelligent Fixed-Horizon Constrained Policy Learning System for Risk-Sensitive Industrial Scenario.

Ke Lin, Duantengchuan Li, Yanjie Li, Shiyu Chen, Xindong Wu

IEEE Trans. Ind. Informatics, April, 2024

Attention-Based Deep Reinforcement Learning for Edge User Allocation.

Jiaxin Chang, Jian Wang, Bing Li, Yuqi Zhao, Duantengchuan Li

IEEE Trans. Netw. Serv. Manag., February, 2024

Motion Planner With Fixed-Horizon Constrained Reinforcement Learning for Complex Autonomous Driving Scenarios.

Ke Lin, Yanjie Li, Shiyu Chen, Duantengchuan Li, Xinyu Wu

IEEE Trans. Intell. Veh., January, 2024

DADL: Double Asymmetric Distribution Learning for head pose estimation in wisdom museum.

Wanli Zhao, Shutong Wang, Xiaoguang Wang, Duantengchuan Li, Jing Wang, Chenghang Lai, Xiaoxue Li

J. King Saud Univ. Comput. Inf. Sci., January, 2024

PBScaler: A Bottleneck-Aware Autoscaling Framework for Microservice-Based Applications.

Shuaiyu Xie, Jian Wang, Bing Li, Zekun Zhang, Duantengchuan Li, Patrick C. K. Hung

IEEE Trans. Serv. Comput., 2024

2023

GCANet: Geometry cues-aware facial expression recognition based on graph convolutional networks.

Shutong Wang, Anran Zhao, Chenghang Lai, Qi Zhang, Duantengchuan Li, Yihua Gao, Liangshan Dong, Xiaoguang Wang

J. King Saud Univ. Comput. Inf. Sci., July, 2023

BGCL: Bi-subgraph network based on graph contrastive learning for cold-start QoS prediction.

Jiangyuan Zhu, Bing Li, Jian Wang, Duantengchuan Li, Yongqiang Liu, Zhen Zhang

Knowl. Based Syst., March, 2023

Knowledge graph embedding model with attention-based high-low level features interaction convolutional network.

Jingxiong Wang, Qi Zhang, Fobo Shi, Duantengchuan Li, Yuefeng Cai, Jian Wang, Bing Li, Xiaoguang Wang, Zhen Zhang, Chao Zheng

Inf. Process. Manag., 2023

Knowledge graph representation learning with simplifying hierarchical feature propagation.

Zhifei Li, Qi Zhang, Fangfang Zhu, Duantengchuan Li, Chao Zheng, Yan Zhang

Inf. Process. Manag., 2023

A Deep Reinforcement Learning-Based Pointer Scoring Network for Edge Task Scheduling.

Yuqi Zhao, Delun Jiang, Bing Li, Lei Fu, Jian Wang, Duantengchuan Li

Proceedings of the IEEE International Conference on Web Services, 2023

2022

MFDNet: Collaborative Poses Perception and Matrix Fisher Distribution for Head Pose Estimation.

Hai Liu, Shuai Fang, Zhaoli Zhang, Duantengchuan Li, Ke Lin, Jiazhang Wang

IEEE Trans. Multim., 2022

EDMF: Efficient Deep Matrix Factorization With Review Feature Learning for Industrial Recommender System.

Hai Liu, Chao Zheng, Duantengchuan Li, Xiaoxuan Shen, Ke Lin, Jiazhang Wang, Zhen Zhang, Zhaoli Zhang, Neal N. Xiong

IEEE Trans. Ind. Informatics, 2022

Integrating deep reinforcement learning with pointer networks for service request scheduling in edge computing.

Yuqi Zhao, Bing Li, Jian Wang, Delun Jiang, Duantengchuan Li

Knowl. Based Syst., 2022

Multi-perspective social recommendation method with graph representation learning.

Hai Liu, Chao Zheng, Duantengchuan Li, Zhaoli Zhang, Ke Lin, Xiaoxuan Shen, Neal N. Xiong, Jiazhang Wang

Neurocomputing, 2022

Multi-information fusion based few-shot Web service classification.

Yongqiang Liu, Bing Li, Jian Wang, Duantengchuan Li, Yutao Ma

Future Gener. Comput. Syst., 2022

2021

CARM: Confidence-aware recommender model via review representation learning and historical rating behavior in the online platforms.

Duantengchuan Li, Hai Liu, Zhaoli Zhang, Ke Lin, Shuai Fang, Zhifei Li, Neal N. Xiong

Neurocomputing, 2021

Efficient Nodes Representation Learning with Residual Feature Propagation.

Fan Wu, Duantengchuan Li, Ke Lin, Huawei Zhang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021