Yuanpei Chen

Orcid: 0000-0002-4674-553X

According to our database1, Yuanpei Chen authored at least 32 papers between 2015 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Bi-DexHands: Towards Human-Level Bimanual Dexterous Manipulation.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

NeuroCLIP: Neuromorphic Data Understanding by CLIP and SNN.
IEEE Signal Process. Lett., 2024

Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks.
CoRR, 2024

Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Joint A-SNN: Joint training of artificial and spiking neural networks via self-Distillation and weight factorization.
Pattern Recognit., October, 2023

Safe multi-agent reinforcement learning for multi-robot control.
Artif. Intell., June, 2023

Zero-shot sim-to-real transfer of reinforcement learning framework for robotics manipulation with demonstration and force feedback.
Robotica, March, 2023

Dynamic Handover: Throw and Catch with Bimanual Hands.
CoRR, 2023

Reducing Information Loss for Spiking Neural Networks.
CoRR, 2023

NeuroCLIP: Neuromorphic Data Understanding by CLIP and SNN.
CoRR, 2023

Learning a Universal Human Prior for Dexterous Manipulation from Human Preference.
CoRR, 2023

Spiking PointNet: Spiking Neural Networks for Point Clouds.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

RLAfford: End-to-End Affordance Learning for Robotic Manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Membrane Potential Batch Normalization for Spiking Neural Networks.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PeakConv: Learning Peak Receptive Field for Radar Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Deep Dive into Gradients: Better Optimization for 3D Object Detection with Gradient-Corrected IoU Supervision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Dynamic Handover: Throw and Catch with Bimanual Hands.
Proceedings of the Conference on Robot Learning, 2023

Sequential Dexterity: Chaining Dexterous Policies for Long-Horizon Manipulation.
Proceedings of the Conference on Robot Learning, 2023

2022
Active SLAM With Prior Topo-Metric Graph Starting At Uncertain Position.
IEEE Robotics Autom. Lett., 2022

End-to-End Affordance Learning for Robotic Manipulation.
CoRR, 2022

Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning.
CoRR, 2022

IM-Loss: Information Maximization Loss for Spiking Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks.
Proceedings of the Computer Vision - ECCV 2022, 2022

Reducing Information Loss for Spiking Neural Networks.
Proceedings of the Computer Vision - ECCV 2022, 2022

RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training Spiking Neural Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

2019
Event Observation of Date-time Stamps for ADS Reconstruction.
Proceedings of the 21st International Conference on Advanced Communication Technology, 2019

2018
Reconstructing ADS data hiding in windows NTFS: A temporal analysis.
Digit. Investig., 2018

2015
Parametric modeling and comparative finite element analysis of spiral triangular strand and simple straight strand.
Adv. Eng. Softw., 2015


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