Feiyang Wu

Orcid: 0000-0003-3494-4205

According to our database1, Feiyang Wu authored at least 19 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
A tube-based model predictive control method for intelligent vehicles path tracking.
Clust. Comput., November, 2024

vTensor: Flexible Virtual Tensor Management for Efficient LLM Serving.
CoRR, 2024

Learn to Teach: Improve Sample Efficiency in Teacher-student Learning for Sim-to-Real Transfer.
CoRR, 2024

Infer and Adapt: Bipedal Locomotion Reward Learning from Demonstrations via Inverse Reinforcement Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

MovieChat: From Dense Token to Sparse Memory for Long Video Understanding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
MovieChat: From Dense Token to Sparse Memory for Long Video Understanding.
CoRR, 2023

Inverse Reinforcement Learning with the Average Reward Criterion.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Visual Navigation System in Simulation for Autonomous Ground Vehicles in Real World.
Proceedings of the 4th International Conference on Artificial Intelligence in Electronics Engineering, 2023

2022
SAniHead: Sketching Animal-Like 3D Character Heads Using a View-Surface Collaborative Mesh Generative Network.
IEEE Trans. Vis. Comput. Graph., 2022

Weighted Collaborative Sparse and L<sub>1/2</sub> Low-Rank Regularizations With Superpixel Segmentation for Hyperspectral Unmixing.
IEEE Geosci. Remote. Sens. Lett., 2022

Stochastic first-order methods for average-reward Markov decision processes.
CoRR, 2022

2021
Deep hybrid neural-like P systems for multiorgan segmentation in head and neck CT/MR images.
Expert Syst. Appl., 2021

Increasing Quantum Correlations Based on Measurement-Induced Disturbance via a Swapping Procedure with Two-Qubit Mixed States.
Entropy, 2021

PIPArch: Programmable Image Processing Architecture Using Sliding Array.
Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

2020
Weighted Nonlocal Low-Rank Tensor Decomposition Method for Sparse Unmixing of Hyperspectral Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

VR-DANN: Real-Time Video Recognition via Decoder-Assisted Neural Network Acceleration.
Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

DRQ: Dynamic Region-based Quantization for Deep Neural Network Acceleration.
Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

2019
Sparse Unmixing for Hyperspectral Image with Nonlocal Low-Rank Prior.
Remote. Sens., 2019

Sparse Unmixing for Hyperspectral Image with Nonlocal Low-Rank Prior.
Proceedings of the Intelligence Science and Big Data Engineering. Visual Data Engineering, 2019


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