Yue Ling
Orcid: 0000-0001-9504-8020
According to our database1,
Yue Ling
authored at least 17 papers
between 2019 and 2025.
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Bibliography
2025
Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models.
CoRR, August, 2025
Artemis: Contour-Guided 3-D Sensing and Localization With mmWave Radar for Infrastructure-Assisted Autonomous Vehicles.
IEEE Internet Things J., June, 2025
G<sup>3</sup>R: Generating Rich and Fine-Grained mmWave Radar Data From 2D Videos for Generalized Gesture Recognition.
IEEE Trans. Mob. Comput., April, 2025
CoRR, January, 2025
OCTOPUS: Across-social network user identification via multi-category spatio-temporal trajectories.
J. King Saud Univ. Comput. Inf. Sci., 2025
C<sup>2</sup>F: Enabling Context-Aware Edge-Cloud Collaborative Inference for Foundation Models.
Proceedings of the IEEE INFOCOM 2025, 2025
2024
Uranus: Empowering Generalized Gesture Recognition with Mobility through Generating Large-scale mmWave Radar Data.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., November, 2024
G3R: Generating Rich and Fine-grained mmWave Radar Data from 2D Videos for Generalized Gesture Recognition.
CoRR, 2024
LengthPath: The Length Reward of Knowledge Graph Reasoning Based on Deep Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024
2023
Joint learning networks of low-level and high-level features for multi-label ship recognition in complex backgrounds.
Appl. Intell., October, 2023
Vision Transformer With Enhanced Self-Attention for Few-Shot Ship Target Recognition in Complex Environments.
IEEE Trans. Instrum. Meas., 2023
Bio+Clinical BERT, BERT Base, and CNN Performance Comparison for Predicting Drug-Review Satisfaction.
CoRR, 2023
2022
Fine-Grained Ship Recognition for Complex Background Based on Global to Local and Progressive Learning.
IEEE Geosci. Remote. Sens. Lett., 2022
2021
2019