Shaochen Wang

Orcid: 0000-0002-6985-240X

According to our database1, Shaochen Wang authored at least 26 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Multi-modal interaction with transformers: bridging robots and human with natural language.
Robotica, February, 2024

2023
Structural Parameter Space Exploration for Reinforcement Learning via a Matrix Variate Distribution.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2023

General Jackknife empirical likelihood and its applications.
Stat. Comput., June, 2023

Mechanism-based deep learning for tray efficiency soft-sensing in distillation process.
Reliab. Eng. Syst. Saf., 2023

New characterizations of the (discrete) Lindley distribution and their applications.
Math. Comput. Simul., 2023

Lightweight Neural Path Planning.
IROS, 2023

A Hierarchical Decoupling Approach for Fast Temporal Logic Motion Planning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

TODE-Trans: Transparent Object Depth Estimation with Transformer.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

The Graphical Programming Software for the High-Throughput Liquid Handling Workstation.
Proceedings of the 8th International Conference on Information Systems Engineering, 2023

What You See is what You Grasp: User-Friendly Grasping Guided by Near-eye-tracking.
Proceedings of the IEEE International Conference on Development and Learning, 2023

A Nested U-Structure for Instrument Segmentation in Robotic Surgery.
Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2023

2022
When Transformer Meets Robotic Grasping: Exploits Context for Efficient Grasp Detection.
IEEE Robotics Autom. Lett., 2022

Statistical inference in massive datasets by empirical likelihood.
Comput. Stat., 2022

A note on parameter asymptotics for weighted Lindley distribution.
Commun. Stat. Simul. Comput., 2022

A Robotic Visual Grasping Design: Rethinking Convolution Neural Network with High-Resolutions.
CoRR, 2022

What You See is What You Grasp: User-Friendly Grasping Guided by Near-eye-tracking.
CoRR, 2022

Unsupervised Representation Learning for Visual Robotics Grasping.
Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022

Contrastive Inductive Bias Controlling Networks for Reinforcement Learning.
Proceedings of the Asian Conference on Machine Learning, 2022

2021
A New Kind of Balancing Circuit With Multiple Equalization Modes for Serially Connected Battery Pack.
IEEE Trans. Ind. Electron., 2021

Testing multivariate quantile by empirical likelihood.
J. Multivar. Anal., 2021

Context-Based Soft Actor Critic for Environments with Non-stationary Dynamics.
CoRR, 2021

Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning.
CoRR, 2021

2020
Social Media Big Data-Based Research on the Influencing Factors of Insomnia and Spatiotemporal Evolution.
IEEE Access, 2020

Latent Context Based Soft Actor-Critic.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Boltzmann Exploration for Deterministic Policy Optimization.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Implicit Posterior Sampling Reinforcement Learning for Continuous Control.
Proceedings of the Neural Information Processing - 27th International Conference, 2020


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