Minghao Fu

Orcid: 0009-0008-4765-135X

Affiliations:
  • Mohamed Bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE
  • University of Electronic Science and Technology of China, Chengdu, China (former)


According to our database1, Minghao Fu authored at least 13 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Back to Parsimonious Latents: Learning Task-Centric World Models from Visual Foundations.
CoRR, May, 2026

SCAR: Self-Supervised Continuous Action Representation Learning.
CoRR, May, 2026

Ada-Diffuser: Latent-Aware Adaptive Diffusion for Decision-Making.
CoRR, May, 2026

DreamSAC: Learning Hamiltonian World Models via Symmetry Exploration.
CoRR, March, 2026

2025
Towards Identifiability of Hierarchical Temporal Causal Representation Learning.
CoRR, October, 2025

PersonaX: Multimodal Datasets with LLM-Inferred Behavior Traits.
CoRR, September, 2025

Identification of Nonparametric Dynamic Causal Structure and Latent Process in Climate System.
CoRR, January, 2025

Benchmarking Sub-Genre Classification For Mainstage Dance Music.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2025

Online Time Series Forecasting with Theoretical Guarantees.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Infant Cry Detection Using Causal Temporal Representation.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2023
ESTISR: Adapting Efficient Scene Text Image Super-resolution for Real-Scenes.
CoRR, 2023

2022
Wide Feature Projection with Fast and Memory-Economic Attention for Efficient Image Super-Resolution.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2020
Deeply Aligned Adaptation for Cross-domain Object Detection.
CoRR, 2020


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