Yanlong Huang

Orcid: 0000-0001-5544-0722

According to our database1, Yanlong Huang authored at least 37 papers between 2011 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
One-Shot Robust Imitation Learning for Long-Horizon Visuomotor Tasks from Unsegmented Demonstrations.
CoRR, 2024

A Combined Learning and Optimization Framework to Transfer Human Whole-body Loco-manipulation Skills to Mobile Manipulators.
CoRR, 2024

Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-level Anomaly Detection.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Faithful Trip Recommender Using Diffusion Guidance (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Explainable Earnings Call Representation Learning (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Auto-LfD: Towards Closing the Loop for Learning from Demonstrations.
CoRR, 2023

EVA: A Distributed Optimization Architecture for Efficient Video Analytics for Smart Cities.
Proceedings of the 18th Workshop on Mobility in the Evolving Internet Architecture, 2023

CO-Detector: Towards Complex Object Detection with Cross-Part Feature Learning in Remote Sensing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

A Non-parametric Skill Representation with Soft Null Space Projectors for Fast Generalization.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Less Is More: Volatility Forecasting with Contrastive Representation Learning (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Learning Social Influence from Network Structure for Recommender Systems.
Proceedings of the Database Systems for Advanced Applications, 2022

iPLAN: Interactive and Procedural Layout Planning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Toward Orientation Learning and Adaptation in Cartesian Space.
IEEE Trans. Robotics, 2021

A probabilistic framework for learning geometry-based robot manipulation skills.
Robotics Auton. Syst., 2021

EKMP: Generalized Imitation Learning with Adaptation, Nonlinear Hard Constraints and Obstacle Avoidance.
CoRR, 2021

2020
Learning to Avoid Obstacles With Minimal Intervention Control.
Frontiers Robotics AI, 2020

Robust Gait Synthesis Combining Constrained Optimization and Imitation Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

A Linearly Constrained Nonparametric Framework for Imitation Learning.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Optimization of Flocculation Settling Parameters of Whole Tailings Based on Spatial Difference Algorithm.
Symmetry, 2019

Kernelized movement primitives.
Int. J. Robotics Res., 2019

Towards Orientation Learning and Adaptation in Cartesian Space.
CoRR, 2019

Uncertainty-Aware Imitation Learning using Kernelized Movement Primitives.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Learning to Sequence Multiple Tasks with Competing Constraints.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Non-parametric Imitation Learning of Robot Motor Skills.
Proceedings of the International Conference on Robotics and Automation, 2019

Generalized Orientation Learning in Robot Task Space.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Probabilistic Learning of Torque Controllers from Kinematic and Force Constraints.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

An Uncertainty-Aware Minimal Intervention Control Strategy Learned from Demonstrations.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Towards Minimal Intervention Control with Competing Constraints.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Generalized Task-Parameterized Skill Learning.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Hybrid Probabilistic Trajectory Optimization Using Null-Space Exploration.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
A Learning from Demonstration Approach fusing Torque Controllers.
CoRR, 2017

Generalized Task-Parameterized Movement Primitives.
CoRR, 2017

2016
Jointly learning trajectory generation and hitting point prediction in robot table tennis.
Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

2015
Learning optimal striking points for a ping-pong playing robot.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

2014
Vision-Based Alignment Control for Grating Tiling in Petawatt-Class Laser System.
IEEE Trans. Instrum. Meas., 2014

2013
Adding Active Learning to LWR for Ping-Pong Playing Robot.
IEEE Trans. Control. Syst. Technol., 2013

2011
Trajectory prediction of spinning ball for ping-pong player robot.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011


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