Duantengchuan Li

Orcid: 0000-0003-3006-6468

According to our database¹, Duantengchuan Li authored at least 28 papers between 2021 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

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On csauthors.net:

Bibliography

2024

TAG: Teacher-Advice Mechanism With Gaussian Process for Reinforcement Learning.

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IEEE Trans. Neural Networks Learn. Syst., September, 2024

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

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IEEE Trans. Ind. Informatics, April, 2024

Integrating user short-term intentions and long-term preferences in heterogeneous hypergraph networks for sequential recommendation.

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Inf. Process. Manag., March, 2024

MDLR: A Multi-Task Disentangled Learning Representations for unsupervised time series domain adaptation.

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Inf. Process. Manag., March, 2024

Joint inter-word and inter-sentence multi-relation modeling for summary-based recommender system.

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Inf. Process. Manag., March, 2024

Attention-Based Deep Reinforcement Learning for Edge User Allocation.

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

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

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IEEE Trans. Intell. Veh., January, 2024

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

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

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

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IEEE Trans. Serv. Comput., 2024

SDFormer: A shallow-to-deep feature interaction for knowledge graph embedding.

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Knowl. Based Syst., 2024

Almost surely safe exploration and exploitation for deep reinforcement learning with state safety estimation.

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Inf. Sci., 2024

Multi-perspective knowledge graph completion with global and interaction features.

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Inf. Sci., 2024

Are LLMs good at structured outputs? A benchmark for evaluating structured output capabilities in LLMs.

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Inf. Process. Manag., 2024

Homogeneous graph neural networks for third-party library recommendation.

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Inf. Process. Manag., 2024

Prompt Space Optimizing Few-shot Reasoning Success with Large Language Models.

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Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Reinforcement Learning-Based Streaming Process Discovery Under Concept Drift.

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Proceedings of the Advanced Information Systems Engineering, 2024

2023

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

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

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

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Knowl. Based Syst., March, 2023

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

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Inf. Process. Manag., 2023

Knowledge graph representation learning with simplifying hierarchical feature propagation.

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Inf. Process. Manag., 2023

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

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Proceedings of the IEEE International Conference on Web Services, 2023

2022

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

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IEEE Trans. Multim., 2022

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

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IEEE Trans. Ind. Informatics, 2022

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

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Knowl. Based Syst., 2022

Multi-perspective social recommendation method with graph representation learning.

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Neurocomputing, 2022

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

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Future Gener. Comput. Syst., 2022

2021

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

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Neurocomputing, 2021

Efficient Nodes Representation Learning with Residual Feature Propagation.

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

Duantengchuan Li

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