Hengbo Ma

Orcid: 0000-0002-7433-3516

According to our database1, Hengbo Ma authored at least 24 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
CMP: Cooperative Motion Prediction with Multi-Agent Communication.
CoRR, 2024

Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation.
CoRR, 2024

2023
SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution.
CoRR, 2023

2022
Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking.
IEEE Trans. Intell. Transp. Syst., 2022

EvolveHypergraph: Group-Aware Dynamic Relational Reasoning for Trajectory Prediction.
CoRR, 2022

Learning Physical Dynamics with Subequivariant Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Cross Domain Robot Imitation with Invariant Representation.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Important Object Identification with Semi-Supervised Learning for Autonomous Driving.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Learning Differentiable Safety-Critical Control using Control Barrier Functions for Generalization to Novel Environments.
Proceedings of the European Control Conference, 2022

Multi-Objective Diverse Human Motion Prediction with Knowledge Distillation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Continual Multi-Agent Interaction Behavior Prediction With Conditional Generative Memory.
IEEE Robotics Autom. Lett., 2021

Speed Planning Using Bezier Polynomials with Trapezoidal Corridors.
CoRR, 2021

Multi-Agent Driving Behavior Prediction across Different Scenarios with Self-Supervised Domain Knowledge.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Spectral Temporal Graph Neural Network for Trajectory Prediction.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Social-WaGDAT: Interaction-aware Trajectory Prediction via Wasserstein Graph Double-Attention Network.
CoRR, 2020

Expressing Diverse Human Driving Behavior with Probabilistic Rewards and Online Inference.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019
Wasserstein Generative Learning with Kinematic Constraints for Probabilistic Interactive Driving Behavior Prediction.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Coordination and Trajectory Prediction for Vehicle Interactions via Bayesian Generative Modeling.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Conditional Generative Neural System for Probabilistic Trajectory Prediction.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Generic Probabilistic Interactive Situation Recognition and Prediction: From Virtual to Real.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Quality Inspection of Remote Radio Unit (RRU) Power Port Using IBVS.
Proceedings of the 2018 IEEE Canadian Conference on Electrical & Computer Engineering, 2018

2017
Tracking the power port of remote radio unit (RRU) using computer vision.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017


  Loading...