Hao Tang
5 indexed papers
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LaST-HD: A novel human-to-robot action learning paradigm that aligns human-hand and robot demonstrations in a shared latent reasoning space.
This paper proposes PeakFlow, a framework for dynamic affective trajectory prediction in EEG data using a peak-guided coarse-to-refined approach.
The paper presents GrainGS, a dynamic Gaussian framework for scene reconstruction that balances fine-grained motion modeling, structural stability, and compact representation.
The paper presents CoEvolve, a framework for executable coordination of multi-robot teams.
This paper investigates how audio and text representations are integrated in large audio-language models.
Papers
Uncovering Audio-Text Alignment in Large Audio-Language Models through Cross-Modal Concept Neurons
Tzu-Quan Lin, Chih-Kai Yang, Yi-Cheng Lin, Hao Tang +1 more
This paper investigates how audio and text representations are integrated in large audio-language models.