1 citations · 1 across the 4 of their papers we have counts for
4 papers
A Survey on World Models Grounded in Acoustic Physical Information
Xiaoliang Chen, Le Chang, Xin Yu +2
This survey provides a comprehensive overview of the emerging field of world models grounded in the foundation of acoustic physical information. It examines the theoretical underpi…
A Synergistic Framework of Nonlinear Acoustic Computing and Reinforcement Learning for Real-World Human-Robot Interaction
Xiaoliang Chen, Xin Yu, Le Chang +8
This paper introduces a novel framework integrating nonlinear acoustic computing and reinforcement learning to enhance advanced human-robot interaction under complex noise and reve…
Memory-Inspired Temporal Prompt Interaction for Text-Image Classification
Xinyao Yu, Hao Sun, Ziwei Niu +4
In recent years, large-scale pre-trained multimodal models (LMM) generally emerge to integrate the vision and language modalities, achieving considerable success in various natural…
Modality-invariant and Specific Prompting for Multimodal Human Perception Understanding
Hao Sun, Ziwei Niu, Xinyao Yu +3
Understanding human perceptions presents a formidable multimodal challenge for computers, encompassing aspects such as sentiment tendencies and sense of humor. While various method…