Hang Yin

Orcid: 0000-0002-3599-440X

Affiliations:
  • University of Copenhagen, Denmark


According to our database1, Hang Yin authored at least 44 papers between 2014 and 2024.

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

Timeline

2014
2016
2018
2020
2022
2024
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Legend:

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In proceedings 
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Links

On csauthors.net:

Bibliography

2024
ADAPT: AI-Driven Artefact Purging Technique for IMU Based Motion Capture.
Comput. Graph. Forum, December, 2024

Interactive Perception for Deformable Object Manipulation.
IEEE Robotics Autom. Lett., September, 2024

Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasks.
CoRR, 2024

Unfolding the Literature: A Review of Robotic Cloth Manipulation.
CoRR, 2024

LM2D: Lyrics- and Music-Driven Dance Synthesis.
CoRR, 2024

Goal-Conditioned Offline Reinforcement Learning via Metric Learning.
CoRR, 2024

Scalable Motion Style Transfer with Constrained Diffusion Generation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Multimodal dance style transfer.
Mach. Vis. Appl., July, 2023

Enabling Visual Action Planning for Object Manipulation Through Latent Space Roadmap.
IEEE Trans. Robotics, February, 2023

Music- and Lyrics-driven Dance Synthesis.
CoRR, 2023

Dance Style Transfer with Cross-modal Transformer.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Controllable Motion Synthesis and Reconstruction with Autoregressive Diffusion Models.
Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, 2023

Learning Geometric Representations of Objects via Interaction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

2022
Leveraging hierarchy in multimodal generative models for effective cross-modality inference.
Neural Networks, 2022

On the Subspace Structure of Gradient-Based Meta-Learning.
CoRR, 2022

GMC - Geometric Multimodal Contrastive Representation Learning.
CoRR, 2022

Embedding Koopman Optimal Control in Robot Policy Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Consensus-based Normalizing-Flow Control: A Case Study in Learning Dual-Arm Coordination.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Back to the Manifold: Recovering from Out-of-Distribution States.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Geometric Multimodal Contrastive Representation Learning.
Proceedings of the International Conference on Machine Learning, 2022

<i>How to Sense the World: </i> Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021
Modeling, learning, perception, and control methods for deformable object manipulation.
Sci. Robotics, 2021

Learning Deep Energy Shaping Policies for Stability-Guaranteed Manipulation.
IEEE Robotics Autom. Lett., 2021

Stability-Guaranteed Reinforcement Learning for Contact-Rich Manipulation.
IEEE Robotics Autom. Lett., 2021

How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents.
CoRR, 2021

Learning Deep Neural Policies with Stability Guarantees.
CoRR, 2021

Enabling Visual Action Planning for Object Manipulation through Latent Space Roadmap.
CoRR, 2021

Graph-based Normalizing Flow for Human Motion Generation and Reconstruction.
Proceedings of the 30th IEEE International Conference on Robot & Human Interactive Communication, 2021

Dynamic Environments with Deformable Objects.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Graph-based Task-specific Prediction Models for Interactions between Deformable and Rigid Objects.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Learning Stable Normalizing-Flow Control for Robotic Manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Data-Efficient Model Learning and Prediction for Contact-Rich Manipulation Tasks.
IEEE Robotics Autom. Lett., 2020

Benchmarking Bimanual Cloth Manipulation.
IEEE Robotics Autom. Lett., 2020

Latent Space Roadmap for Visual Action Planning of Deformable and Rigid Object Manipulation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

In-Hand Manipulation of Objects with Unknown Shapes.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Probabilistic Model Learning and Long-term Prediction for Contact-rich Manipulation Tasks.
CoRR, 2019

An ensemble inverse optimal control approach for robotic task learning and adaptation.
Auton. Robots, 2019

2018
Do Children Perceive Whether a Robotic Peer is Learning or Not?
Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 2018

2017
Affect of Robot's Competencies on Children's Perception.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

Associate Latent Encodings in Learning from Demonstrations.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Synthesizing Robotic Handwriting Motion by Learning from Human Demonstrations.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Bidirectional Learning of Handwriting Skill in Human-Robot Interaction.
Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction, 2015

2014
Learning object-level impedance control for robust grasping and dexterous manipulation.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Learning cost function and trajectory for robotic writing motion.
Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014


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