Hang Yin

57 papers A* 8A 8B 2Journal 35Unranked 4
YearRankTypeTitle / Venue / Authors
2025 A conf
Towards Safe Reinforcement Learning with Reduced Conservativeness: A Case Study on Drone Flight Control.
IROS
Loizos Hadjiloizou, Michael C. Welle, Hang Yin, Danica Kragic
2025 J jnl
Unfolding the Literature: A Review of Robotic Cloth Manipulation.
Annu. Rev. Control. Robotics Auton. Syst.
Alberta Longhini, Yufei Wang, Irene Garcia-Camacho, David Blanco-Mulero, Marco Moletta, Michael C. Welle, Guillem Alenyà, Hang Yin, Zackory Erickson, David Held, Júlia Borràs, Danica Kragic
2024 J jnl
ADAPT: AI-Driven Artefact Purging Technique for IMU Based Motion Capture.
Comput. Graph. Forum
Paul Schreiner, Rasmus Netterstrøm, Hang Yin, Sune Darkner, Kenny Erleben
2024 J jnl
Goal-Conditioned Offline Reinforcement Learning via Metric Learning.
CoRR
Alfredo Reichlin, Miguel Vasco, Hang Yin, Danica Kragic
2024 J jnl
Interactive Perception for Deformable Object Manipulation.
CoRR
Zehang Weng, Peng Zhou, Hang Yin, Alexander Kravberg, Anastasiia Varava, David Navarro-Alarcon, Danica Kragic
2024 J jnl
Interactive Perception for Deformable Object Manipulation.
IEEE Robotics Autom. Lett.
Zehang Weng, Peng Zhou, Hang Yin, Alexander Kravberg, Anastasiia Varava, David Navarro-Alarcon, Danica Kragic
2024 J jnl
LM2D: Lyrics- and Music-Driven Dance Synthesis.
CoRR
Wenjie Yin, Xuejiao Zhao, Yi Yu, Hang Yin, Danica Kragic, Mårten Björkman
2024 J jnl
Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasks.
CoRR
Alfredo Reichlin, Gustaf Tegnér, Miguel Vasco, Hang Yin, Mårten Björkman, Danica Kragic
2024 J jnl
Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasks.
Trans. Mach. Learn. Res.
Alfredo Reichlin, Gustaf Tegnér, Miguel Vasco, Hang Yin, Mårten Björkman, Danica Kragic
2024 A* conf
Scalable Motion Style Transfer with Constrained Diffusion Generation.
AAAI
Wenjie Yin, Yi Yu, Hang Yin, Danica Kragic, Mårten Björkman
2024 J jnl
Unfolding the Literature: A Review of Robotic Cloth Manipulation.
CoRR
Alberta Longhini, Yufei Wang, Irene Garcia-Camacho, David Blanco-Mulero, Marco Moletta, Michael C. Welle, Guillem Alenyà, Hang Yin, Zackory Erickson, David Held, Júlia Borràs, Danica Kragic
2023 B conf
Controllable Motion Synthesis and Reconstruction with Autoregressive Diffusion Models.
RO-MAN
Wenjie Yin, Ruibo Tu, Hang Yin, Danica Kragic, Hedvig Kjellström, Mårten Björkman
2023 J jnl
Controllable Motion Synthesis and Reconstruction with Autoregressive Diffusion Models.
CoRR
Wenjie Yin, Ruibo Tu, Hang Yin, Danica Kragic, Hedvig Kjellström, Mårten Björkman
2023 A conf
Dance Style Transfer with Cross-modal Transformer.
WACV
Wenjie Yin, Hang Yin, Kim Baraka, Danica Kragic, Mårten Björkman
2023 J jnl
Enabling Visual Action Planning for Object Manipulation Through Latent Space Roadmap.
IEEE Trans. Robotics
Martina Lippi, Petra Poklukar, Michael C. Welle, Anastasia Varava, Hang Yin, Alessandro Marino, Danica Kragic
2023 — conf
Learning Geometric Representations of Objects via Interaction.
ECML/PKDD (4)
Alfredo Reichlin, Giovanni Luca Marchetti, Hang Yin, Anastasiia Varava, Danica Kragic
2023 J jnl
Learning Geometric Representations of Objects via Interaction.
CoRR
Alfredo Reichlin, Giovanni Luca Marchetti, Hang Yin, Anastasiia Varava, Danica Kragic
2023 J jnl
Multimodal dance style transfer.
Mach. Vis. Appl.
Wenjie Yin, Hang Yin, Kim Baraka, Danica Kragic, Mårten Björkman
2023 J jnl
Music- and Lyrics-driven Dance Synthesis.
CoRR
Wenjie Yin, Qingyuan Yao, Yi Yu, Hang Yin, Danica Kragic, Mårten Björkman
2023 J jnl
Scalable Motion Style Transfer with Constrained Diffusion Generation.
CoRR
Wenjie Yin, Yi Yu, Hang Yin, Danica Kragic, Mårten Björkman
2022 A conf
Back to the Manifold: Recovering from Out-of-Distribution States.
IROS
Alfredo Reichlin, Giovanni Luca Marchetti, Hang Yin, Ali Ghadirzadeh, Danica Kragic
2022 J jnl
Back to the Manifold: Recovering from Out-of-Distribution States.
CoRR
Alfredo Reichlin, Giovanni Luca Marchetti, Hang Yin, Ali Ghadirzadeh, Danica Kragic
2022 A conf
Consensus-based Normalizing-Flow Control: A Case Study in Learning Dual-Arm Coordination.
IROS
Hang Yin, Christos K. Verginis, Danica Kragic
2022 J jnl
Dance Style Transfer with Cross-modal Transformer.
CoRR
Wenjie Yin, Hang Yin, Kim Baraka, Danica Kragic, Mårten Björkman
2022 A conf
Embedding Koopman Optimal Control in Robot Policy Learning.
IROS
Hang Yin, Michael C. Welle, Danica Kragic
2022 J jnl
GMC - Geometric Multimodal Contrastive Representation Learning.
CoRR
Petra Poklukar, Miguel Vasco, Hang Yin, Francisco S. Melo, Ana Paiva, Danica Kragic
2022 A* conf
Geometric Multimodal Contrastive Representation Learning.
ICML
Petra Poklukar, Miguel Vasco, Hang Yin, Francisco S. Melo, Ana Paiva, Danica Kragic
2022 J jnl
Leveraging hierarchy in multimodal generative models for effective cross-modality inference.
Neural Networks
Miguel Vasco, Hang Yin, Francisco S. Melo, Ana Paiva
2022 J jnl
On the Subspace Structure of Gradient-Based Meta-Learning.
CoRR
Gustaf Tegnér, Alfredo Reichlin, Hang Yin, Mårten Björkman, Danica Kragic
2021 — conf
Dynamic Environments with Deformable Objects.
NeurIPS Datasets and Benchmarks
Rika Antonova, Peiyang Shi, Hang Yin, Zehang Weng, Danica Kragic
2021 J jnl
Enabling Visual Action Planning for Object Manipulation through Latent Space Roadmap.
CoRR
Martina Lippi, Petra Poklukar, Michael C. Welle, Anastasiia Varava, Hang Yin, Alessandro Marino, Danica Kragic
2021 B conf
Graph-based Normalizing Flow for Human Motion Generation and Reconstruction.
RO-MAN
Wenjie Yin, Hang Yin, Danica Kragic, Mårten Björkman
2021 J jnl
Graph-based Normalizing Flow for Human Motion Generation and Reconstruction.
CoRR
Wenjie Yin, Hang Yin, Danica Kragic, Mårten Björkman
2021 A conf
Graph-based Task-specific Prediction Models for Interactions between Deformable and Rigid Objects.
IROS
Zehang Weng, Fabian Paus, Anastasiia Varava, Hang Yin, Tamim Asfour, Danica Kragic
2021 J jnl
Graph-based Task-specific Prediction Models for Interactions between Deformable and Rigid Objects.
CoRR
Zehang Weng, Fabian Paus, Anastasiia Varava, Hang Yin, Tamim Asfour, Danica Kragic
2021 J jnl
How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents.
CoRR
Miguel Vasco, Hang Yin, Francisco S. Melo, Ana Paiva
2021 J jnl
Learning Deep Energy Shaping Policies for Stability-Guaranteed Manipulation.
IEEE Robotics Autom. Lett.
Shahbaz Abdul Khader, Hang Yin, Pietro Falco, Danica Kragic
2021 J jnl
Learning Deep Neural Policies with Stability Guarantees.
CoRR
Shahbaz Abdul Khader, Hang Yin, Pietro Falco, Danica Kragic
2021 A* conf
Learning Stable Normalizing-Flow Control for Robotic Manipulation.
ICRA
Shahbaz Abdul Khader, Hang Yin, Pietro Falco, Danica Kragic
2021 J jnl
Modeling, learning, perception, and control methods for deformable object manipulation.
Sci. Robotics
Hang Yin, Anastasia Varava, Danica Kragic
2021 J jnl
Stability-Guaranteed Reinforcement Learning for Contact-Rich Manipulation.
IEEE Robotics Autom. Lett.
Shahbaz Abdul Khader, Hang Yin, Pietro Falco, Danica Kragic
2020 J jnl
Benchmarking Bimanual Cloth Manipulation.
IEEE Robotics Autom. Lett.
Irene Garcia-Camacho, Guillem Alenyà, Danica Kragic, Martina Lippi, Michael C. Welle, Hang Yin, Rika Antonova, Anastasiia Varava, Júlia Borràs Sol, Carme Torras, Alessandro Marino
2020 J jnl
Data-Efficient Model Learning and Prediction for Contact-Rich Manipulation Tasks.
IEEE Robotics Autom. Lett.
Shahbaz Abdul Khader, Hang Yin, Pietro Falco, Danica Kragic
2020 A* conf
In-Hand Manipulation of Objects with Unknown Shapes.
ICRA
Silvia Cruciani, Hang Yin, Danica Kragic
2020 A conf
Latent Space Roadmap for Visual Action Planning of Deformable and Rigid Object Manipulation.
IROS
Martina Lippi, Petra Poklukar, Michael C. Welle, Anastasiia Varava, Hang Yin, Alessandro Marino, Danica Kragic
2020 J jnl
Latent Space Roadmap for Visual Action Planning of Deformable and Rigid Object Manipulation.
CoRR
Martina Lippi, Petra Poklukar, Michael C. Welle, Anastasiia Varava, Hang Yin, Alessandro Marino, Danica Kragic
2020 J jnl
Learning Stable Normalizing-Flow Control for Robotic Manipulation.
CoRR
Shahbaz Abdul Khader, Hang Yin, Pietro Falco, Danica Kragic
2020 J jnl
Stability-Guaranteed Reinforcement Learning for Contact-rich Manipulation.
CoRR
Shahbaz Abdul Khader, Hang Yin, Pietro Falco, Danica Kragic
2019 J jnl
An ensemble inverse optimal control approach for robotic task learning and adaptation.
Auton. Robots
Hang Yin, Francisco S. Melo, Ana Paiva, Aude Billard
2019 J jnl
Probabilistic Model Learning and Long-term Prediction for Contact-rich Manipulation Tasks.
CoRR
Shahbaz Abdul Khader, Hang Yin, Pietro Falco, Danica Kragic
2018 A* conf
Do Children Perceive Whether a Robotic Peer is Learning or Not?
HRI
Shruti Chandra, Raul Benites Paradeda, Hang Yin, Pierre Dillenbourg, Rui Prada, Ana Paiva
2017 A conf
Affect of Robot's Competencies on Children's Perception.
AAMAS
Shruti Chandra, Raul Benites Paradeda, Hang Yin, Pierre Dillenbourg, Rui Prada, Ana Paiva
2017 A* conf
Associate Latent Encodings in Learning from Demonstrations.
AAAI
Hang Yin, Francisco S. Melo, Aude Billard, Ana Paiva
2016 A* conf
Synthesizing Robotic Handwriting Motion by Learning from Human Demonstrations.
IJCAI
Hang Yin, Patrícia Alves-Oliveira, Francisco S. Melo, Aude Billard, Ana Paiva
2015 — conf
Bidirectional Learning of Handwriting Skill in Human-Robot Interaction.
HRI (Extended Abstracts)
Hang Yin, Aude Billard, Ana Paiva
2014 — conf
Learning cost function and trajectory for robotic writing motion.
Humanoids
Hang Yin, Ana Paiva, Aude Billard
2014 A* conf
Learning object-level impedance control for robust grasping and dexterous manipulation.
ICRA
Miao Li, Hang Yin, Kenji Tahara, Aude Billard