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2020 – today
- 2026
[j3]Philipp Dahlinger, Niklas Freymuth, Tai Hoang, Tobias Würth, Michael Volpp, Luise Kärger, Gerhard Neumann:
Context-aware Learned Mesh-based Simulation via Trajectory-Level Meta-Learning. Trans. Mach. Learn. Res. 2026 (2026)- [i12]Markus Walker, Marcel Reith-Braun, Tai Hoang, Gerhard Neumann, Uwe D. Hanebeck:
Smooth Sampling-Based Model Predictive Control Using Deterministic Samples. CoRR abs/2601.03893 (2026) - 2025
- [j2]Huy Le
, Tai Hoang, Miroslav Gabriel, Gerhard Neumann, Ngo Anh Vien:
Enhancing Exploration With Diffusion Policies in Hybrid Off-Policy RL: Application to Non-Prehensile Manipulation. IEEE Robotics Autom. Lett. 10(6): 6143-6150 (2025) - [c3]Tai Hoang, Huy Le, Philipp Becker, Ngo Anh Vien, Gerhard Neumann:
Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects. ICLR 2025 - [i11]Tai Hoang, Huy Le, Philipp Becker, Ngo Anh Vien, Gerhard Neumann:
Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects. CoRR abs/2502.07005 (2025) - [i10]Niklas Freymuth, Tobias Würth, Nicolas Schreiber, Balázs Gyenes, Andreas Boltres, Johannes Mitsch, Aleksandar Taranovic, Tai Hoang, Philipp Dahlinger, Philipp Becker, Luise Kärger, Gerhard Neumann:
AMBER: Adaptive Mesh Generation by Iterative Mesh Resolution Prediction. CoRR abs/2505.23663 (2025) - [i9]Philipp Dahlinger, Tai Hoang, Denis Blessing, Niklas Freymuth, Gerhard Neumann:
MaNGO - Adaptable Graph Network Simulators via Meta-Learning. CoRR abs/2510.05874 (2025) - [i8]Philipp Dahlinger, Niklas Freymuth, Tai Hoang, Tobias Würth, Michael Volpp, Luise Kärger, Gerhard Neumann:
Context-aware Learned Mesh-based Simulation via Trajectory-Level Meta-Learning. CoRR abs/2511.05234 (2025) - [i7]Tai Hoang, Alessandro Trenta, Alessio Gravina, Niklas Freymuth, Philipp Becker, Davide Bacciu, Gerhard Neumann:
Improving Long-Range Interactions in Graph Neural Simulators via Hamiltonian Dynamics. CoRR abs/2511.08185 (2025) - 2024
- [i6]Huy Le, Miroslav Gabriel, Tai Hoang, Gerhard Neumann, Ngo Anh Vien:
Enhancing Exploration with Diffusion Policies in Hybrid Off-Policy RL: Application to Non-Prehensile Manipulation. CoRR abs/2411.14913 (2024) - 2023
- [i5]Philipp Dahlinger, Niklas Freymuth, Michael Volpp, Tai Hoang, Gerhard Neumann:
Latent Task-Specific Graph Network Simulators. CoRR abs/2311.05256 (2023) - 2022
- [c2]Tai Hoang, Alona Kharchenko, Simon Trendel, Rafael Hostettler:
Ball-and-Socket Joint Pose Estimation Using Magnetic Field. ISRR 2022: 321-334 - [i4]Tai Hoang:
Autonomous soft hand grasping - Literature review. CoRR abs/2203.04762 (2022) - [i3]Tai Hoang, Alona Kharchenko, Simon Trendel, Rafael Hostettler:
Ball-and-socket joint pose estimation using magnetic field. CoRR abs/2210.03984 (2022) - 2020
- [c1]Tai Hoang, Ngo Anh Vien:
Graph-Based Motion Planning Networks. ECML/PKDD (2) 2020: 557-573 - [i2]Tai Hoang, Ngo Anh Vien:
Bayes-Adaptive Deep Model-Based Policy Optimisation. CoRR abs/2010.15948 (2020)
2010 – 2019
- 2019
- [j1]Tai Hoang, Huy Le, Tho Quan:
Towards Autoencoding Variational Inference for Aspect-Based Opinion Summary. Appl. Artif. Intell. 33(9): 796-816 (2019) - [i1]Tai Hoang, Huy Le, Tho Quan:
Towards Autoencoding Variational Inference for Aspect-based Opinion Summary. CoRR abs/1902.02507 (2019)
Coauthor Index
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