Mengxian Hu

Orcid: 0009-0004-9844-5768

According to our database1, Mengxian Hu authored at least 14 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Efficient Text-Driven Motion Generation via Latent Consistency Training.
IEEE Trans. Syst. Man Cybern. Syst., March, 2026

Reinforcement Learning-Based Whole-Body Motion Control for Humanoids With Position-Controlled Joints.
IEEE Trans Autom. Sci. Eng., 2026

Representation learning for skeleton-based action recognition from a causal perspective.
Knowl. Based Syst., 2026

2025
CLASH: Collaborative Large-Small Hierarchical Framework for Continuous Vision-and-Language Navigation.
CoRR, December, 2025

Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline.
CoRR, June, 2025

Reinforcement Learning-based Optimization of Humanoid Joint Motion Control via Text-driven Human Motion Mapping.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

2024
DR-Block: Convolutional Dense Reparameterization for CNN Generalization Free Improvement.
IEEE Trans. Circuits Syst. Video Technol., November, 2024

SPGformer: Serial-Parallel Hybrid GCN-Transformer With Graph-Oriented Encoder for 2-D-to-3-D Human Pose Estimation.
IEEE Trans. Instrum. Meas., 2024

Decoupling semantic and localization for semantic segmentation via magnitude-aware and phase-sensitive learning.
Inf. Fusion, 2024

Efficient Text-driven Motion Generation via Latent Consistency Training.
CoRR, 2024

MoTE: Reconciling Generalization with Specialization for Visual-Language to Video Knowledge Transfer.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

SNF-Feat: Semantic-Guided Negative-Sample-Free Representation Learning for Local Feature Extraction.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023
A Geometric Knowledge Oriented Single-Frame 2D-to-3D Human Absolute Pose Estimation Method.
IEEE Trans. Circuits Syst. Video Technol., December, 2023

A Simple yet Effective 2D-3D Lifting Method for Monocular 3D Human Pose Estimation.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023


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