Tianying Wang

Orcid: 0000-0002-2826-5364

According to our database1, Tianying Wang authored at least 15 papers between 2019 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
MAFNet: Multimodal Asymmetric Fusion Network for Radar Echo Extrapolation.
Remote. Sens., October, 2024

500-kHz Bandwidth Feedback for Scanning Ion Conductance Microscopy With Nanoresolution.
IEEE Trans. Ind. Electron., February, 2024

MPFNet: Multiproduct Fusion Network for Radar Echo Extrapolation.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
Extreme value modeling with errors-in-variables in detection and attribution of changes in climate extremes.
Stat. Comput., December, 2023

Energy-efficient task allocation for reliable parallel computation of cluster-based wireless sensor network in edge computing.
Digit. Commun. Networks, April, 2023

Gaussian Processes with Errors in Variables: Theory and Computation.
J. Mach. Learn. Res., 2023

Action and Trajectory Planning for Urban Autonomous Driving with Hierarchical Reinforcement Learning.
CoRR, 2023

2022
End-to-end Reinforcement Learning of Robotic Manipulation with Robust Keypoints Representation.
CoRR, 2022

Testing microbiome association using integrated quantile regression models.
Bioinform., 2022

2021
Path Planning for Autonomous Underwater Vehicles Under the Influence of Ocean Currents Based on a Fusion Heuristic Algorithm.
IEEE Trans. Veh. Technol., 2021

2020
Deep N-ary Error Correcting Output Codes.
CoRR, 2020

RoboCoDraw: Robotic Avatar Drawing with GAN-Based Style Transfer and Time-Efficient Path Optimization.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Sparse quadratic classification rules via linear dimension reduction.
J. Multivar. Anal., 2019

Efficient Robotic Task Generalization Using Deep Model Fusion Reinforcement Learning.
Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019

Rapid Identification of Pathogens based on MIE Light Scattering and Machine Learning Approach.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2019


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