1 citations · 2 across the 4 of their papers we have counts for
6 papers
Can We Trust the Teacher? Decoupled Credit Direction-Magnitude for Self-Distillation
Yugu Li, Zehong Cao, Peizhen Li +3
RLVR provides reliable trajectory-level credit, while OPSD offers dense supervision for token-level credit. This exposes a fundamental coupling when updating step-level credit dire…
REALM: A Coarse-to-Fine Generative Framework for Embodied Reactive Listening
Peizhen Li, Longbing Cao, Yang Zhang
Generating responsive listener facial motion is an important task for embodied conversational AI. Two modeling challenges are central: accounting for the timing of speaker cues whi…
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…
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…
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…