Ngo Anh Vien - RankMe

100 papers A* 15A 6C 4Misc 3Journal 55Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	StructSAM: Structure- and Spectrum-Preserving Token Merging for Segment Anything Models. CoRR Duy M. H. Nguyen, Tuan A. Tran, Duong Nguyen, Siwei Xie, Trung Q. Nguyen, Mai T. N. Truong, Daniel Palenicek, An T. Le, Michael Barz, TrungTin Nguyen, Tuan Dam, Ngan Le, Minh Vu, Khoa D. Doan, Ngo Anh Vien, Pengtao Xie, James Zou, Daniel Sonntag, Jan Peters, Mathias Niepert
2025	J	`jnl`	Diffusion for Multi-Embodiment Grasping. IEEE Robotics Autom. Lett. Roman Freiberg, Alexander Qualmann, Ngo Anh Vien, Gerhard Neumann
2025	A*	`conf`	Efficient Off-Policy Learning for High-Dimensional Action Spaces. ICLR Fabian Otto, Philipp Becker, Ngo Anh Vien, Gerhard Neumann
2025	J	`jnl`	Enhancing Exploration With Diffusion Policies in Hybrid Off-Policy RL: Application to Non-Prehensile Manipulation. IEEE Robotics Autom. Lett. Huy Le, Tai Hoang, Miroslav Gabriel, Gerhard Neumann, Ngo Anh Vien
2025	J	`jnl`	GaussianBlender: Instant Stylization of 3D Gaussians with Disentangled Latent Spaces. CoRR Basak Melis Öcal, Xiaoyan Xing, Yue Li, Ngo Anh Vien, Sezer Karaoglu, Theo Gevers
2025	A*	`conf`	Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects. ICLR Tai Hoang, Huy Le, Philipp Becker, Ngo Anh Vien, Gerhard Neumann
2025	J	`jnl`	Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects. CoRR Tai Hoang, Huy Le, Philipp Becker, Ngo Anh Vien, Gerhard Neumann
2025	J	`jnl`	How Many Tokens Do 3D Point Cloud Transformer Architectures Really Need? CoRR Tuan Anh Tran, Duy M. H. Nguyen, Hoai-Chau Tran, Michael Barz, Khoa D. Doan, Roger Wattenhofer, Ngo Anh Vien, Mathias Niepert, Daniel Sonntag, Paul Swoboda
2025	J	`jnl`	TD-GRPC: Temporal Difference Learning with Group Relative Policy Constraint for Humanoid Locomotion. CoRR Khang Nguyen, Khai Nguyen, An T. Le, Jan Peters, Manfred Huber, Ngo Anh Vien, Minh Nhat Vu
2025	J	`jnl`	Towards a Multi-Embodied Grasping Agent. CoRR Roman Freiberg, Alexander Qualmann, Ngo Anh Vien, Gerhard Neumann
2024	J	`jnl`	Diffusion for Multi-Embodiment Grasping. CoRR Roman Freiberg, Alexander Qualmann, Ngo Anh Vien, Gerhard Neumann
2024	A*	`conf`	Efficient End-to-End Detection of 6-DoF Grasps for Robotic Bin Picking. ICRA Yushi Liu, Alexander Qualmann, Zehao Yu, Miroslav Gabriel, Philipp Schillinger, Markus Spies, Ngo Anh Vien, Andreas Geiger
2024	J	`jnl`	Efficient End-to-End Detection of 6-DoF Grasps for Robotic Bin Picking. CoRR Yushi Liu, Alexander Qualmann, Zehao Yu, Miroslav Gabriel, Philipp Schillinger, Markus Spies, Ngo Anh Vien, Andreas Geiger
2024	J	`jnl`	Enhancing Exploration with Diffusion Policies in Hybrid Off-Policy RL: Application to Non-Prehensile Manipulation. CoRR Huy Le, Miroslav Gabriel, Tai Hoang, Gerhard Neumann, Ngo Anh Vien
2024	A*	`conf`	Pseudo Labeling and Contextual Curriculum Learning for Online Grasp Learning in Robotic Bin Picking. ICRA Huy Le, Philipp Schillinger, Miroslav Gabriel, Alexander Qualmann, Ngo Anh Vien
2024	J	`jnl`	Pseudo-Labeling and Contextual Curriculum Learning for Online Grasp Learning in Robotic Bin Picking. CoRR Huy Le, Philipp Schillinger, Miroslav Gabriel, Alexander Qualmann, Ngo Anh Vien
2024	A*	`conf`	Uncertainty-driven Exploration Strategies for Online Grasp Learning. ICRA Yitian Shi, Philipp Schillinger, Miroslav Gabriel, Alexander Qualmann, Zohar Feldman, Hanna Ziesche, Ngo Anh Vien
2024	J	`jnl`	Vlearn: Off-Policy Learning with Efficient State-Value Function Estimation. CoRR Fabian Otto, Philipp Becker, Ngo Anh Vien, Gerhard Neumann
2023	J	`jnl`	DMFC-GraspNet: Differentiable Multi-Fingered Robotic Grasp Generation in Cluttered Scenes. CoRR Philipp Blättner, Johannes Brand, Gerhard Neumann, Ngo Anh Vien
2023	A	`conf`	Model-Free Grasping with Multi-Suction Cup Grippers for Robotic Bin Picking. IROS Philipp Schillinger, Miroslav Gabriel, Alexander Kuss, Hanna Ziesche, Ngo Anh Vien
2023	J	`jnl`	Model-free Grasping with Multi-Suction Cup Grippers for Robotic Bin Picking. CoRR Philipp Schillinger, Miroslav Gabriel, Alexander Kuss, Hanna Ziesche, Ngo Anh Vien
2023	Misc	`conf`	SA6D: Self-Adaptive Few-Shot 6D Pose Estimator for Novel and Occluded Objects. CoRL Ning Gao, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann
2023	J	`jnl`	SA6D: Self-Adaptive Few-Shot 6D Pose Estimator for Novel and Occluded Objects. CoRR Ning Gao, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann
2023	J	`jnl`	SyMFM6D: Symmetry-Aware Multi-Directional Fusion for Multi-View 6D Object Pose Estimation. IEEE Robotics Autom. Lett. Fabian Duffhauss, Sebastian Koch, Hanna Ziesche, Ngo Anh Vien, Gerhard Neumann
2023	J	`jnl`	SyMFM6D: Symmetry-aware Multi-directional Fusion for Multi-View 6D Object Pose Estimation. CoRR Fabian Duffhauss, Sebastian Koch, Hanna Ziesche, Ngo Anh Vien, Gerhard Neumann
2023	J	`jnl`	Uncertainty-driven Exploration Strategies for Online Grasp Learning. CoRR Yitian Shi, Philipp Schillinger, Miroslav Gabriel, Alexander Kuss, Zohar Feldman, Hanna Ziesche, Ngo Anh Vien
2022	A*	`conf`	A Hybrid Approach for Learning to Shift and Grasp with Elaborate Motion Primitives. ICRA Zohar Feldman, Hanna Ziesche, Ngo Anh Vien, Dotan Di Castro
2022	Misc	`conf`	Deep Black-Box Reinforcement Learning with Movement Primitives. CoRL Fabian Otto, Onur Celik, Hongyi Zhou, Hanna Ziesche, Ngo Anh Vien, Gerhard Neumann
2022	J	`jnl`	Deep Black-Box Reinforcement Learning with Movement Primitives. CoRR Fabian Otto, Onur Celik, Hongyi Zhou, Hanna Ziesche, Ngo Anh Vien, Gerhard Neumann
2022	—	`conf`	FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion. ECCV (39) Fabian Duffhauss, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann
2022	J	`jnl`	FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion. CoRR Fabian Duffhauss, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann
2022	A*	`conf`	Hierarchical Policy Learning for Mechanical Search. ICRA Oussama Zenkri, Ngo Anh Vien, Gerhard Neumann
2022	J	`jnl`	Hierarchical Policy Learning for Mechanical Search. CoRR Oussama Zenkri, Ngo Anh Vien, Gerhard Neumann
2022	J	`jnl`	Meta-Learning Regrasping Strategies for Physical-Agnostic Objects. CoRR Ruijie Chen, Ning Gao, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann
2022	J	`jnl`	Multi-Arm Bin-Picking in Real-Time: A Combined Task and Motion Planning Approach. CoRR Ilyes Toumi, Andreas Orthey, Alexander von Rohr, Ngo Anh Vien
2022	A*	`conf`	What Matters For Meta-Learning Vision Regression Tasks? CVPR Ning Gao, Hanna Ziesche, Ngo Anh Vien, Michael Volpp, Gerhard Neumann
2022	J	`jnl`	What Matters For Meta-Learning Vision Regression Tasks? CoRR Ning Gao, Hanna Ziesche, Ngo Anh Vien, Michael Volpp, Gerhard Neumann
2021	J	`jnl`	A Hybrid Approach for Learning to Shift and Grasp with Elaborate Motion Primitives. CoRR Zohar Feldman, Hanna Ziesche, Ngo Anh Vien, Dotan Di Castro
2021	J	`jnl`	Constrained representation learning for recurrent policy optimisation under uncertainty. Adapt. Behav. Viet-Hung Dang, Ngo Anh Vien, TaeChoong Chung
2021	J	`jnl`	Deep Learning-Aided Multicarrier Systems. IEEE Trans. Wirel. Commun. Thien Van Luong, Youngwook Ko, Michail Matthaiou, Ngo Anh Vien, Minh-Tuan Le, Vu-Duc Ngo
2021	J	`jnl`	Differentiable Robust LQR Layers. CoRR Ngo Anh Vien, Gerhard Neumann
2021	A*	`conf`	Differentiable Trust Region Layers for Deep Reinforcement Learning. ICLR Fabian Otto, Philipp Becker, Ngo Anh Vien, Hanna Carolin Maria Ziesche, Gerhard Neumann
2021	J	`jnl`	Differentiable Trust Region Layers for Deep Reinforcement Learning. CoRR Fabian Otto, Philipp Becker, Ngo Anh Vien, Hanna Carolin Ziesche, Gerhard Neumann
2021	A	`conf`	Non-local Graph Convolutional Network for joint Activity Recognition and Motion Prediction. IROS Dianhao Zhang, Ngo Anh Vien, Mien Van, Seán F. McLoone
2021	J	`jnl`	Non-local Graph Convolutional Network for joint Activity Recognition and Motion Prediction. CoRR Dianhao Zhang, Ngo Anh Vien, Mien Van, Seán F. McLoone
2021	J	`jnl`	Real-Time Energy Harvesting Aided Scheduling in UAV-Assisted D2D Networks Relying on Deep Reinforcement Learning. IEEE Access Khoi Khac Nguyen, Ngo Anh Vien, Long Dinh Nguyen, Minh-Tuan Le, Lajos Hanzo, Trung Q. Duong
2021	A	`conf`	Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty. IROS Alireza Ranjbar, Ngo Anh Vien, Hanna Ziesche, Joschka Boedecker, Gerhard Neumann
2021	J	`jnl`	Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty. CoRR Alireza Ranjbar, Ngo Anh Vien, Hanna Ziesche, Joschka Boedecker, Gerhard Neumann
2020	J	`jnl`	Asynchronous framework with Reptile+ algorithm to meta learn partially observable Markov decision process. Appl. Intell. Dang Quang Nguyen, Ngo Anh Vien, Viet-Hung Dang, TaeChoong Chung
2020	J	`jnl`	Bayes-Adaptive Deep Model-Based Policy Optimisation. CoRR Tai Hoang, Ngo Anh Vien
2020	J	`jnl`	Deep Energy Autoencoder for Noncoherent Multicarrier MU-SIMO Systems. CoRR Thien Van Luong, Youngwook Ko, Ngo Anh Vien, Michail Matthaiou, Hien Quoc Ngo
2020	J	`jnl`	Deep Energy Autoencoder for Noncoherent Multicarrier MU-SIMO Systems. IEEE Trans. Wirel. Commun. Thien Van Luong, Youngwook Ko, Ngo Anh Vien, Michail Matthaiou, Hien Quoc Ngo
2020	C	`conf`	Fast Analysis and Prediction in Large Scale Virtual Machines Resource Utilisation. CLOSER Abdullahi Abubakar, Sakil Barbhuiya, Peter Kilpatrick, Ngo Anh Vien, Dimitrios S. Nikolopoulos
2020	—	`conf`	Graph-Based Motion Planning Networks. ECML/PKDD (2) Tai Hoang, Ngo Anh Vien
2020	J	`jnl`	Improving Path Planning Methods in 2D Grid Maps. J. Comput. Viet-Hung Dang, Hoang Huu Viet, Nguyen Duc Thang, Ngo Anh Vien, Le Anh Tuan
2019	J	`jnl`	A covariance matrix adaptation evolution strategy in reproducing kernel Hilbert space. Genet. Program. Evolvable Mach. Viet-Hung Dang, Ngo Anh Vien, TaeChoong Chung
2019	J	`jnl`	Deep Learning-Based Detector for OFDM-IM. IEEE Wirel. Commun. Lett. Thien Van Luong, Youngwook Ko, Ngo Anh Vien, Duy H. N. Nguyen, Michail Matthaiou
2019	J	`jnl`	Distributed Deep Deterministic Policy Gradient for Power Allocation Control in D2D-Based V2V Communications. IEEE Access Khoi Khac Nguyen, Trung Q. Duong, Ngo Anh Vien, Nhien-An Le-Khac, Long Dinh Nguyen
2019	J	`jnl`	Importance sampling policy gradient algorithms in reproducing kernel Hilbert space. Artif. Intell. Rev. Tuyen Pham Le, Ngo Anh Vien, P. Marlith Jaramillo, TaeChoong Chung
2019	J	`jnl`	Non-Cooperative Energy Efficient Power Allocation Game in D2D Communication: A Multi-Agent Deep Reinforcement Learning Approach. IEEE Access Khoi Khac Nguyen, Trung Quang Duong, Ngo Anh Vien, Nhien-An Le-Khac, Minh-Nghia Nguyen
2018	J	`jnl`	A Deep Hierarchical Reinforcement Learning Algorithm in Partially Observable Markov Decision Processes. IEEE Access Tuyen Pham Le, Ngo Anh Vien, TaeChoong Chung
2018	A*	`conf`	Bayesian Functional Optimization. AAAI Ngo Anh Vien, Heiko Zimmermann, Marc Toussaint
2018	J	`jnl`	Deep Hierarchical Reinforcement Learning Algorithm in Partially Observable Markov Decision Processes. CoRR Le Pham Tuyen, Ngo Anh Vien, Md. Abu Layek, TaeChoong Chung
2018	—	`conf`	Scalable and Interpretable One-Class SVMs with Deep Learning and Random Fourier Features. ECML/PKDD (1) Minh-Nghia Nguyen, Ngo Anh Vien
2018	J	`jnl`	Scalable and Interpretable One-class SVMs with Deep Learning and Random Fourier features. CoRR Minh-Nghia Nguyen, Ngo Anh Vien
2017	C	`conf`	A Covariance Matrix Adaptation Evolution Strategy for Direct Policy Search in Reproducing Kernel Hilbert Space. ACML Ngo Anh Vien, Viet-Hung Dang, TaeChoong Chung
2017	—	`conf`	A Functional Optimization Method for Continuous Domains. INISCOM Viet-Hung Dang, Ngo Anh Vien, Pham Le-Tuyen, TaeChoong Chung
2017	—	`conf`	Deep reinforcement learning algorithms for steering an underactuated ship. MFI Le Pham Tuyen, Md. Abu Layek, Ngo Anh Vien, TaeChoong Chung
2017	J	`jnl`	Inverse KKT: Learning cost functions of manipulation tasks from demonstrations. Int. J. Robotics Res. Peter Englert, Ngo Anh Vien, Marc Toussaint
2016	J	`jnl`	Bayes-adaptive hierarchical MDPs. Appl. Intell. Ngo Anh Vien, Seunggwan Lee, TaeChoong Chung
2016	A*	`conf`	Policy Search in Reproducing Kernel Hilbert Space. IJCAI Ngo Anh Vien, Peter Englert, Marc Toussaint
2016	A*	`conf`	Relational activity processes for modeling concurrent cooperation. ICRA Marc Toussaint, Thibaut Munzer, Yoan Mollard, Li Yang Wu, Ngo Anh Vien, Manuel Lopes
2015	A*	`conf`	Hierarchical Monte-Carlo Planning. AAAI Ngo Anh Vien, Marc Toussaint
2015	A	`conf`	POMDP manipulation via trajectory optimization. IROS Ngo Anh Vien, Marc Toussaint
2015	—	`conf`	Touch based POMDP manipulation via sequential submodular optimization. Humanoids Ngo Anh Vien, Marc Toussaint
2014	J	`jnl`	Approximate planning for bayesian hierarchical reinforcement learning. Appl. Intell. Ngo Anh Vien, Hung Quoc Ngo, Sungyoung Lee, TaeChoong Chung
2014	J	`jnl`	Efficient Interactive Multiclass Learning from Binary Feedback. ACM Trans. Interact. Intell. Syst. Hung Quoc Ngo, Matthew D. Luciw, Jawad Nagi, Alexander Förster, Jürgen Schmidhuber, Ngo Anh Vien
2014	A*	`conf`	Model-Based Relational RL When Object Existence is Partially Observable. ICML Ngo Anh Vien, Marc Toussaint
2014	A	`conf`	Monte carlo bayesian hierarchical reinforcement learning. AAMAS Ngo Anh Vien, Hung Quoc Ngo, Wolfgang Ertel
2013	J	`jnl`	Learning via human feedback in continuous state and action spaces. Appl. Intell. Ngo Anh Vien, Wolfgang Ertel, TaeChoong Chung
2013	J	`jnl`	Monte-Carlo tree search for Bayesian reinforcement learning. Appl. Intell. Ngo Anh Vien, Wolfgang Ertel, Viet-Hung Dang, TaeChoong Chung
2013	—	`conf`	Reasoning with Uncertainties Over Existence of Objects. AAAI Fall Symposia Ngo Anh Vien, Marc Toussaint
2013	A*	`conf`	Upper Confidence Weighted Learning for Efficient Exploration in Multiclass Prediction with Binary Feedback. IJCAI Hung Quoc Ngo, Matthew David Luciw, Ngo Anh Vien, Jürgen Schmidhuber
2012	—	`conf`	Learning via Human Feedback in Continuous State and Action Spaces. AAAI Fall Symposium: Robots Learning Interactively from Human Teachers Ngo Anh Vien, Wolfgang Ertel
2012	—	`conf`	Monte Carlo Tree Search for Bayesian Reinforcement Learning. ICMLA (1) Ngo Anh Vien, Wolfgang Ertel
2012	—	`conf`	Reinforcement learning combined with human feedback in continuous state and action spaces. ICDL-EPIROB Ngo Anh Vien, Wolfgang Ertel
2011	J	`jnl`	Hessian matrix distribution for Bayesian policy gradient reinforcement learning. Inf. Sci. Ngo Anh Vien, Hwanjo Yu, TaeChoong Chung
2011	—	`conf`	Nomogram Visualization for Ranking Support Vector Machine. ISNN (2) Nguyen Thi Thanh Thuy, Nguyen Thi Ngoc Vinh, Ngo Anh Vien
2010	C	`conf`	Monte Carlo Value Iteration for Continuous-State POMDPs. WAFR Haoyu Bai, David Hsu, Wee Sun Lee, Ngo Anh Vien
2010	J	`jnl`	Policy Gradient Based Semi-Markov Decision Problems: Approximation and Estimation Errors. IEICE Trans. Inf. Syst. Ngo Anh Vien, Seunggwan Lee, TaeChoong Chung
2009	J	`jnl`	Policy Gradient SMDP for Resource Allocation and Routing in Integrated Services Networks. IEICE Trans. Commun. Ngo Anh Vien, Nguyen Hoang Viet, Seunggwan Lee, TaeChoong Chung
2009	—	`conf`	Probabilistic Ranking Support Vector Machine. ISNN (2) Nguyen Thi Thanh Thuy, Ngo Anh Vien, Nguyen Hoang Viet, TaeChoong Chung
2009	A	`conf`	VRIFA: a nonlinear SVM visualization tool using nomogram and localized radial basis function (LRBF) kernels. CIKM Ngo Anh Vien, Nguyen Hoang Viet, TaeChoong Chung, Hwanjo Yu, Sungchul Kim, Baek Hwan Cho
2008	—	`conf`	Efficient Distributed Sensor Dispatch in Mobile Sensor Network. AINA Workshops Nguyen Hoang Viet, Ngo Anh Vien, Seunggwan Lee, TaeChoong Chung
2008	C	`conf`	Obstacle Avoidance Path Planning for Mobile Robot Based on Multi Colony Ant Algorithm. ACHI Nguyen Hoang Viet, Ngo Anh Vien, Seunggwan Lee, TaeChoong Chung
2008	—	`conf`	Policy Gradient SMDP for Resource Allocation and Routing in Integrated Services Networks. ICNSC Nguyen Hoang Viet, Ngo Anh Vien, TaeChoong Chung
2008	—	`conf`	Policy Gradient Semi-markov Decision Process. ICTAI (2) Ngo Anh Vien, TaeChoong Chung
2007	Misc	`conf`	Heuristic Search Based Exploration in Reinforcement Learning. IWANN Ngo Anh Vien, Nguyen Hoang Viet, Seunggwan Lee, TaeChoong Chung
2007	—	`conf`	Natural Gradient Policy for Average Cost SMDP Problem. ICTAI (1) Ngo Anh Vien, TaeChoong Chung
2007	—	`conf`	Obstacle Avoidance Path Planning for Mobile Robot Based on Ant-Q Reinforcement Learning Algorithm. ISNN (1) Ngo Anh Vien, Nguyen Hoang Viet, Seunggwan Lee, TaeChoong Chung