activity
20172026
most citedA Hyperbolic-to-Hyperbolic Graph Convolutional Network

5 citations · 22 across the 35 of their papers we have counts for

collaborators

40 papers

cs.RO2026

One-shot Human Video-Guided Adaptation for Vision-Language-Action Models

Qi Chen, Yuwei Wu, Quan Chen +5

Vision-language-action (VLA) models have recently achieved remarkable progress by leveraging large-scale robot datasets and foundation models for general-purpose robot manipulation…

cs.LG2026

Beyond the Capability Boundary: Zeroth-Order Optimization for Self-Evolving LLM Agents

Bingzhen Liu, Xiaomeng Fan, Yuwei Wu +4

Self-evolving methods improve the capabilities of LLM agents by sampling trajectories from the underlying LLMs and learning from these trajectories. However, these methods struggle…

cs.AI2026

Interactive Reward Agent: GUI Task Evaluation via Environment-State Verification

Chenrui Shi, Yuwei Wu, Yang Liu +5

Graphical user interface task evaluation aims to determine whether a GUI agent has successfully completed a user instruction. Automated GUI task evaluation has received increasing…

cs.RO2026

A Causality-aware Infer-diagnose-refine Framework for Test-time Modality Adaptation in VLA Models

Haoyu Zhang, Yuwei Wu, Jin Chen +6

Vision-language-action (VLA) models predict sequential actions to execute tasks specified by language instructions, conditioned on visual observations and proprioceptive states. Ho…

cs.CV2026

Reliability-Prioritized Fine-Grained Generation in Multimodal Large

Xiaomeng Fan, Wei Wu, Yuwei Wu +9

Multimodal large language models (MLLMs) are increasingly expected to generate fine-grained descriptions of visual content. However, we observe and theoretically show that generati…

cs.CV2026

Facial Expression Generation Aligned with Human Preference for Natural Dyadic Interaction

Xu Chen, Rui Gao, Xinjie Zhang +5

Achieving natural dyadic interaction requires generating facial expressions that are emotionally appropriate and socially aligned with human preference. Human feedback offers a com…