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Jingda Wu

Showing results (1-10 of 17) with videos related to

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Scientific Reports|March 8, 2017
Ultrathin (<1 μm) Substrate-Free Flexible Photodetector on Quantum Dot-Nanocellulose PaperJingda Wu, Lih Y Lin
IEEE Transactions on Neural Networks and Learning Systems|January 26, 2022
Efficient Deep Reinforcement Learning With Imitative Expert Priors for Autonomous DrivingZhiyu Huang, Jingda Wu, Chen Lv
IEEE Transactions on Neural Networks and Learning Systems|June 10, 2022
Prioritized Experience-Based Reinforcement Learning With Human Guidance for Autonomous DrivingJingda Wu, Zhiyu Huang, Wenhui Huang, et al.
IEEE Transactions on Neural Networks and Learning Systems|June 19, 2023
Differentiable Integrated Motion Prediction and Planning With Learnable Cost Function for Autonomous DrivingZhiyu Huang, Haochen Liu, Jingda Wu, et al.
Nature Communications|March 23, 2025
Data-driven energy management for electric vehicles using offline reinforcement learningYong Wang, Jingda Wu, Hongwen He, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 13, 2023
Human-Guided Reinforcement Learning With Sim-to-Real Transfer for Autonomous NavigationJingda Wu, Yanxin Zhou, Haohan Yang, et al.
Physical Review Letters|February 10, 2023
Polaritonic Chern Insulators in Monolayer SemiconductorsLi He, Jingda Wu, Jicheng Jin, et al.
IEEE Transactions on Neural Networks and Learning Systems|October 3, 2023
Sampling Efficient Deep Reinforcement Learning Through Preference-Guided Stochastic ExplorationWenhui Huang, Cong Zhang, Jingda Wu, et al.
Optics Express|March 29, 2012
Transmission-grating-photomasked transient spin grating and its application to measurement of electron-spin ambipolar diffusion in (110) GaAs quantum wellsKe Chen, Wenfang Wang, Jingda Wu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 6, 2023
Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous DrivingXiangkun He, Jingda Wu, Zhiyu Huang, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Scientific Reports|March 8, 2017
Ultrathin (<1 μm) Substrate-Free Flexible Photodetector on Quantum Dot-Nanocellulose PaperJingda Wu, Lih Y Lin
IEEE Transactions on Neural Networks and Learning Systems|January 26, 2022
Efficient Deep Reinforcement Learning With Imitative Expert Priors for Autonomous DrivingZhiyu Huang, Jingda Wu, Chen Lv
IEEE Transactions on Neural Networks and Learning Systems|June 10, 2022
Prioritized Experience-Based Reinforcement Learning With Human Guidance for Autonomous DrivingJingda Wu, Zhiyu Huang, Wenhui Huang, et al.
IEEE Transactions on Neural Networks and Learning Systems|June 19, 2023
Differentiable Integrated Motion Prediction and Planning With Learnable Cost Function for Autonomous DrivingZhiyu Huang, Haochen Liu, Jingda Wu, et al.
Nature Communications|March 23, 2025
Data-driven energy management for electric vehicles using offline reinforcement learningYong Wang, Jingda Wu, Hongwen He, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 13, 2023
Human-Guided Reinforcement Learning With Sim-to-Real Transfer for Autonomous NavigationJingda Wu, Yanxin Zhou, Haohan Yang, et al.
Physical Review Letters|February 10, 2023
Polaritonic Chern Insulators in Monolayer SemiconductorsLi He, Jingda Wu, Jicheng Jin, et al.
IEEE Transactions on Neural Networks and Learning Systems|October 3, 2023
Sampling Efficient Deep Reinforcement Learning Through Preference-Guided Stochastic ExplorationWenhui Huang, Cong Zhang, Jingda Wu, et al.
Optics Express|March 29, 2012
Transmission-grating-photomasked transient spin grating and its application to measurement of electron-spin ambipolar diffusion in (110) GaAs quantum wellsKe Chen, Wenfang Wang, Jingda Wu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 6, 2023
Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous DrivingXiangkun He, Jingda Wu, Zhiyu Huang, et al.
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