Haoran Li

Orcid: 0000-0003-2559-9585

Affiliations:
  • Chinese Academy of Sciences, State Key Laboratory of Management and Control for Complex Systems, Beijing, China
  • University of Chinese Academy of Sciences, School of Artificial Intelligence, Beijing, China
  • Chinese Academy of Sciences, Institute of Automation, Beijing, China (PhD 2020)


According to our database1, Haoran Li authored at least 25 papers between 2018 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Online presence:

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Bibliography

2024
Stabilizing Diffusion Model for Robotic Control With Dynamic Programming and Transition Feasibility.
IEEE Trans. Artif. Intell., September, 2024

MAT: Morphological Adaptive Transformer for Universal Morphology Policy Learning.
IEEE Trans. Cogn. Dev. Syst., August, 2024

SELU: Self-Learning Embodied MLLMs in Unknown Environments.
CoRR, 2024

Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization.
CoRR, 2024

FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Game.
CoRR, 2024

High-quality Synthetic Data is Efficient for Model-based Offline Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024

Boosting Continuous Control with Consistency Policy.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
ABCP: Automatic Blockwise and Channelwise Network Pruning via Joint Search.
IEEE Trans. Cogn. Dev. Syst., September, 2023

Multi-modal Learning based Prediction for Disease.
CoRR, 2023

NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks.
CoRR, 2023

Cross-domain Random Pre-training with Prototypes for Reinforcement Learning.
CoRR, 2023

NeuronsGym: A Hybrid Framework and Benchmark for Robot Tasks with Sim2Real Policy Learning.
CoRR, 2023

NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Boost 3-D Object Detection via Point Clouds Segmentation and Fused 3-D GIoU-L₁ Loss.
IEEE Trans. Neural Networks Learn. Syst., 2022

BiFNet: Bidirectional Fusion Network for Road Segmentation.
IEEE Trans. Cybern., 2022

Neurons Perception Dataset for RoboMaster AI Challenge.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
ABCP: Automatic Block-wise and Channel-wise Network Pruning via Joint Search.
CoRR, 2021

MVM3Det: A Novel Method for Multi-view Monocular 3D Detection.
CoRR, 2021

IA-CNN: A generalised interpretable convolutional neural network with attention mechanism.
Proceedings of the International Joint Conference on Neural Networks, 2021

Vehicle Trajectory Prediction Based on Graph Attention Network.
Proceedings of the Cognitive Systems and Information Processing, 2021

2020
Deep Reinforcement Learning-Based Automatic Exploration for Navigation in Unknown Environment.
IEEE Trans. Neural Networks Learn. Syst., 2020

RailNet: An Information Aggregation Network for Rail Track Segmentation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Deep Kalman Filter with Optical Flow for Multiple Object Tracking.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

2018
A temporal-based deep learning method for multiple objects detection in autonomous driving.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

An Efficient Network for Lane Segmentation.
Proceedings of the Cognitive Systems and Signal Processing - 4th International Conference, 2018


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