1 citations · 2 across the 9 of their papers we have counts for
9 papers
PACE: Persona Adaptation through Conversational Elicitation in Human-Robot Interaction
Peizhen Li, Longbing Cao, Megani Rajendran +3
Equipping humanoid robots with coherent and adaptable personas is crucial for fostering natural, engaging, and trustworthy human-robot interaction (HRI). However, existing approach…
MLOW: Interpretable Low-Rank Frequency Magnitude Decomposition of Multiple Effects for Time Series Forecasting
Runze Yang, Longbing Cao, Xiaoming Wu +4
Separating multiple effects in time series is fundamental yet challenging for time-series forecasting (TSF). However, existing TSF models cannot effectively learn interpretable mul…
VividFace: Real-Time and Realistic Facial Expression Shadowing for Humanoid Robots
Peizhen Li, Longbing Cao, Xiao-Ming Wu +1
Humanoid facial expression shadowing enables robots to realistically imitate human facial expressions in real time, which is critical for lifelike, facially expressive humanoid rob…
Learning Physiology-Informed Vocal Spectrotemporal Representations for Speech Emotion Recognition
Xu Zhang, Longbing Cao, Runze Yang +1
Speech emotion recognition (SER) is essential for humanoid robot tasks such as social robotic interactions and robotic psychological diagnosis, where interpretable and efficient mo…
Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting
Runze Yang, Longbing Cao, Xin You +3
The integration of Fourier transform and deep learning opens new avenues for time series forecasting. We reconsider the Fourier transform from a basis functions perspective. Specif…
Modeling enzyme temperature stability from sequence segment perspective
Ziqi Zhang, Shiheng Chen, Runze Yang +10
Developing enzymes with desired thermal properties is crucial for a wide range of industrial and research applications, and determining temperature stability is an essential step i…
Kernel PCA for Out-of-Distribution Detection: Non-Linear Kernel Selection and Approximation
Kun Fang, Qinghua Tao, Mingzhen He +6
Out-of-Distribution (OoD) detection is vital for the reliability of deep neural networks, the key of which lies in effectively characterizing the disparities between OoD and In-Dis…
X2C: A Large-Scale Benchmark for Nuanced Humanoid Facial Expression Imitation
Peizhen Li, Longbing Cao, Xiao-Ming Wu +2
Fine-grained facial expression transfer from humans to humanoid agents presents a unique pattern recognition challenge due to the significant domain gap between biological facial d…
UGotMe: An Embodied System for Affective Human-Robot Interaction
Peizhen Li, Longbing Cao, Xiao-Ming Wu +2
Equipping humanoid robots with the capability to understand emotional states of human interactants and express emotions appropriately according to situations is essential for affec…