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 38 papers between 2018 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Survey of Vision-Language-Action Models for Embodied Manipulation.
CoRR, August, 2025

CL3R: 3D Reconstruction and Contrastive Learning for Enhanced Robotic Manipulation Representations.
CoRR, July, 2025

NeuronsGym: A Hybrid Framework and Benchmark for Robot Navigation With Sim2Real Policy Learning.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2025

ArenaSim: A High-Performance Simulation Platform for Multi-Robot Self-Play Learning.
IEEE Robotics Autom. Lett., June, 2025

Cross-Domain Random Pretraining With Prototypes for Reinforcement Learning.
IEEE Trans. Syst. Man Cybern. Syst., May, 2025

Balancing State Exploration and Skill Diversity in Unsupervised Skill Discovery.
IEEE Trans. Cybern., May, 2025

TeViR: Text-to-Video Reward with Diffusion Models for Efficient Reinforcement Learning.
CoRR, May, 2025

FetchBot: Object Fetching in Cluttered Shelves via Zero-Shot Sim2Real.
CoRR, February, 2025

ConRFT: A Reinforced Fine-tuning Method for VLA Models via Consistency Policy.
CoRR, February, 2025

Consistency Policy with Categorical Critic for Autonomous Driving.
Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Unsupervised Zero-Shot Reinforcement Learning via Dual-Value Forward-Backward Representation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Game.
IEEE Trans. Emerg. Top. Comput. Intell., December, 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

CPEG: Leveraging Consistency Policy with Consensus Guidance for Multi-agent Exploration.
CoRR, 2024

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

Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

ATV3D: 3D Object Detection from Attention-based Three-view Representation.
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


  Loading...