Jianxiang Feng

29 papers A* 2A 3C 1Misc 2Journal 19Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SPIRIT: Perceptive Shared Autonomy for Robust Robotic Manipulation under Deep Learning Uncertainty. CoRR Jongseok Lee, Ribin Balachandran, Harsimran Singh, Jianxiang Feng, Hrishik Mishra, Marco De Stefano, Rudolph Triebel, Alin Albu-Schäffer, Konstantin Kondak
2025	A*	`conf`	Language-Guided Object-Centric Diffusion Policy for Generalizable and Collision-Aware Manipulation. ICRA Hang Li, Qian Feng, Zhi Zheng, Jianxiang Feng, Zhaopeng Chen, Alois Knoll
2025	A	`conf`	LensDFF: Language-enhanced Sparse Feature Distillation for Efficient Few-Shot Dexterous Manipulation. IROS Qian Feng, Alois Knoll, David S. Martinez Lema, Zhaopeng Chen, Jianxiang Feng
2025	J	`jnl`	LensDFF: Language-enhanced Sparse Feature Distillation for Efficient Few-Shot Dexterous Manipulation. CoRR Qian Feng, David S. Martinez Lema, Jianxiang Feng, Zhaopeng Chen, Alois Knoll
2024	—	`conf`	DexGANGrasp: Dexterous Generative Adversarial Grasping Synthesis for Task-Oriented Manipulation. Humanoids Qian Feng, David S. Martinez Lema, Mohammadhossein Malmir, Hang Li, Jianxiang Feng, Zhaopeng Chen, Alois Knoll
2024	J	`jnl`	DexGANGrasp: Dexterous Generative Adversarial Grasping Synthesis for Task-Oriented Manipulation. CoRR Qian Feng, David S. Martinez Lema, Mohammadhossein Malmir, Hang Li, Jianxiang Feng, Zhaopeng Chen, Alois Knoll
2024	J	`jnl`	Evaluating Uncertainty-based Failure Detection for Closed-Loop LLM Planners. CoRR Zhi Zheng, Qian Feng, Hang Li, Alois Knoll, Jianxiang Feng
2024	J	`jnl`	FFHFlow: A Flow-based Variational Approach for Multi-fingered Grasp Synthesis in Real Time. CoRR Qian Feng, Jianxiang Feng, Zhaopeng Chen, Rudolph Triebel, Alois Knoll
2024	J	`jnl`	Language-Guided Object-Centric Diffusion Policy for Collision-Aware Robotic Manipulation. CoRR Hang Li, Qian Feng, Zhi Zheng, Jianxiang Feng, Alois Knoll
2024	—	`conf`	Multi-fingered Dynamic Grasping for Unknown Objects. Humanoids Yannick Burkhardt, Qian Feng, Jianxiang Feng, Karan Sharma, Zhaopeng Chen, Alois Knoll
2023	J	`jnl`	A survey of uncertainty in deep neural networks. Artif. Intell. Rev. Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, Jongseok Lee, Matthias Humt, Jianxiang Feng, Anna M. Kruspe, Rudolph Triebel, Peter Jung, Ribana Roscher, Muhammad Shahzad, Wen Yang, Richard Bamler, Xiaoxiang Zhu
2023	J	`jnl`	Density-based Feasibility Learning with Normalizing Flows for Introspective Robotic Assembly. CoRR Jianxiang Feng, Matan Atad, Ismael Rodríguez, Maximilian Durner, Stephan Günnemann, Rudolph Triebel
2023	A	`conf`	Efficient and Feasible Robotic Assembly Sequence Planning via Graph Representation Learning. IROS Matan Atad, Jianxiang Feng, Ismael Rodríguez, Maximilian Durner, Rudolph Triebel
2023	J	`jnl`	Efficient and Feasible Robotic Assembly Sequence Planning via Graph Representation Learning. CoRR Matan Atad, Jianxiang Feng, Ismael Rodríguez, Maximilian Durner, Rudolph Triebel
2023	J	`jnl`	Reliability analysis and optimization of multi-phased spaceflight with backup missions and mixed redundancy strategy. Reliab. Eng. Syst. Saf. Xiang-Yu Li, Xiaopeng Li, Jianxiang Feng, Congming Li, Xiaoyan Xiong, Hong-Zhong Huang
2023	Misc	`conf`	Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning. CoRL Jianxiang Feng, Jongseok Lee, Simon Geisler, Stephan Günnemann, Rudolph Triebel
2023	J	`jnl`	Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning. CoRR Jianxiang Feng, Jongseok Lee, Simon Geisler, Stephan Günnemann, Rudolph Triebel
2023	J	`jnl`	Virtual Reality via Object Pose Estimation and Active Learning: Realizing Telepresence Robots with Aerial Manipulation Capabilities. Field Robotics Jongseok Lee, Ribin Balachandran, Konstantin Kondak, Andre Coelho, Marco De Stefano, Matthias Humt, Jianxiang Feng, Tamim Asfour, Rudolph Triebel
2022	A	`conf`	Bayesian Active Learning for Sim-to-Real Robotic Perception. IROS Jianxiang Feng, Jongseok Lee, Maximilian Durner, Rudolph Triebel
2022	J	`jnl`	Virtual Reality via Object Poses and Active Learning: Realizing Telepresence Robots with Aerial Manipulation Capabilities. CoRR Jongseok Lee, Ribin Balachandran, Konstantin Kondak, Andre Coelho, Marco De Stefano, Matthias Humt, Jianxiang Feng, Tamim Asfour, Rudolph Triebel
2021	J	`jnl`	A Survey of Uncertainty in Deep Neural Networks. CoRR Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, Jongseok Lee, Matthias Humt, Jianxiang Feng, Anna M. Kruspe, Rudolph Triebel, Peter Jung, Ribana Roscher, Muhammad Shahzad, Wen Yang, Richard Bamler, Xiao Xiang Zhu
2021	J	`jnl`	An accurate and easy deployment array gain-phase error calibration method for DoA estimation in Wi-Fi network. Ad Hoc Networks Zhian Deng, Jianxiang Feng, Shengao Wang, Zhiyu Qu, Jiahao Zhang, Weijian Si
2021	J	`jnl`	Bridging the Last Mile in Sim-to-Real Robot Perception via Bayesian Active Learning. CoRR Jianxiang Feng, Jongseok Lee, Maximilian Durner, Rudolph Triebel
2021	J	`jnl`	Introspective Robot Perception using Smoothed Predictions from Bayesian Neural Networks. CoRR Jianxiang Feng, Maximilian Durner, Zoltan-Csaba Marton, Ferenc Balint-Benczedi, Rudolph Triebel
2021	Misc	`conf`	Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes. CoRL Jongseok Lee, Jianxiang Feng, Matthias Humt, Marcus Gerhard Müller, Rudolph Triebel
2021	J	`jnl`	Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes. CoRR Jongseok Lee, Jianxiang Feng, Matthias Humt, Marcus Gerhard Müller, Rudolph Triebel
2020	A*	`conf`	Estimating Model Uncertainty of Neural Networks in Sparse Information Form. ICML Jongseok Lee, Matthias Humt, Jianxiang Feng, Rudolph Triebel
2020	J	`jnl`	Estimating Model Uncertainty of Neural Networks in Sparse Information Form. CoRR Jongseok Lee, Matthias Humt, Jianxiang Feng, Rudolph Triebel
2019	C	`conf`	Introspective Robot Perception Using Smoothed Predictions from Bayesian Neural Networks. ISRR Jianxiang Feng, Maximilian Durner, Zoltán-Csaba Márton, Ferenc Bálint-Benczédi, Rudolph Triebel