4 citations · 4 across the 8 of their papers we have counts for
8 papers
Local Reference Geometry Residual Augmentation for Imbalanced Time Series Classification
Chuanhang Qiu, Yanran Xu, Yue Wang +1
Imbalanced time series classification is often addressed by changing the training distribution, objective, logits, or final threshold. These interventions address important biases,…
GAFT: Geo-Anchored Fine-Tuning for Hazard Identification from Rare Failures
Yanran Xu, Chuanhang Qiu, Yue Wang +2
Off-road navigation can fail when physical structures induce irrecoverable states such as high-centering or entrapment, requiring human interventions. Identifying these structures…
Batched Differentiable Rigid Body Dynamics in PyTorch for GPU-Accelerated Robot Learning
Yue Wang, Yanran Xu, Wenbo Wu +2
As robot control shifts toward large-scale reinforcement learning with in-loop dynamics computation, the community's reliance on CPU-bound libraries such as Pinocchio creates a thr…
Vision Also You Need: Navigating Out-of-Distribution Detection with Multimodal Large Language Model
Haoran Xu, Yanlin Liu, Zizhao Tong +8
Out-of-Distribution (OOD) detection is a critical task that has garnered significant attention. The emergence of CLIP has spurred extensive research into zero-shot OOD detection, o…
SPARC: Spine with Prismatic And Revolute Compliance for Faster Quadrupedal Bounding
Yue Wang, Yanran Xu
Quadruped mammals coordinate sagittal spinal bending with axial extension and compression during dynamic locomotion. Yet most robotic quadrupeds use rigid trunks, passively complia…
HMCF: A Human-in-the-loop Multi-Robot Collaboration Framework Based on Large Language Models
Zhaoxing Li, Wenbo Wu, Yue Wang +3
Rapid advancements in artificial intelligence (AI) have enabled robots to performcomplex tasks autonomously with increasing precision. However, multi-robot systems (MRSs) face chal…
Blind-Wayfarer: A Minimalist, Probing-Driven Framework for Resilient Navigation in Perception-Degraded Environments
Yanran Xu, Klaus-Peter Zauner, Danesh Tarapore
Navigating autonomous robots through dense forests and rugged terrains is especially daunting when exteroceptive sensors -- such as cameras and LiDAR sensors -- fail under occlusio…
A Survey of Multimodal Large Language Model from A Data-centric Perspective
Tianyi Bai, Hao Liang, Binwang Wan +12
Multimodal large language models (MLLMs) enhance the capabilities of standard large language models by integrating and processing data from multiple modalities, including text, vis…