collaborators

5 papers

cs.RO2026

HumanTracker: Towards Comprehensive and Human-Aligned Motion Tracking Benchmark

Dairu Liu, Zekun Qi, Jiayu Zeng +11

Humanoid motion tracking is central to teleoperation and whole-body imitation, yet evaluation often disagrees with what people perceive in videos. Kinematic errors average per-fram…

cs.RO2026

Learning Athletic Humanoid Tennis Skills from Imperfect Human Motion Data

Zhikai Zhang, Haofei Lu, Yunrui Lian +12

Human athletes demonstrate versatile and highly-dynamic tennis skills to successfully conduct competitive rallies with a high-speed tennis ball. However, reproducing such behaviors…

cs.IR2026

PAMAS: Self-Adaptive Multi-Agent System with Perspective Aggregation for Misinformation Detection

Zongwei Wang, Min Gao, Junliang Yu +2

Misinformation on social media poses a critical threat to information credibility, as its diverse and context-dependent nature complicates detection. Large language model-empowered…

cs.AI2026

When Agents See Humans as the Outgroup: Belief-Dependent Bias in LLM-Powered Agents

Zongwei Wang, Bincheng Gu, Hongyu Yu +5

This paper reveals that LLM-powered agents exhibit not only demographic bias (e.g., gender, religion) but also intergroup bias under minimal "us" versus "them" cues. When such grou…

cs.RO2025

Track Any Motions under Any Disturbances

Zhikai Zhang, Jun Guo, Chao Chen +10

A foundational humanoid motion tracker is expected to be able to track diverse, highly dynamic, and contact-rich motions. More importantly, it needs to operate stably in real-world…