papers

Publications (7)

cs.SE2026

RESOURCE2SKILL: Distilling Executable Agent Skills from Human-Created Multimodal Resources

Yijia Fan, Zonglin Di, Zimo Wen +8

The paper introduces RESOURCE2SKILL, a framework that converts multimodal human-created resources such as tutorial videos, code repositories, and articles into executable skills or…

#skill distillation#multimodal learning#agent programming#knowledge bases
cs.CV2026

3D-Agent:Tri-Modal Multi-Agent Collaboration for Scalable 3D Object Annotation

Jusheng Zhang, Yijia Fan, Zimo Wen +2

Driven by applications in autonomous driving robotics and augmented reality 3D object annotation presents challenges beyond 2D annotation including spatial complexity occlusion and…

cs.LG2025

PAST: A Primary-Auxiliary Spatio-Temporal Network for Traffic Time Series Imputation

Hanwen Hu, Zimo Wen, Shiyou Qian +1

Traffic time series imputation is crucial for the safety and reliability of intelligent transportation systems, while diverse types of missing data, including random, fiber, and bl…

cs.RO2026

Never Too Late for Force: Accelerating VLA Post-Training with Reactive Force Injection

Yi Wang, Wendi Chen, Zimo Wen +8

The paper introduces LIFT, a post‑training method that adds reactive force feedback to pretrained vision‑language‑action policies, enabling them to handle contact‑rich manipulation…

#vision-language-action#force feedback#post-training#contact-rich manipulation
cs.CV2026

Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing

Xinjie Zhang, Peng Zhang, Shicheng Zheng +21

Large-scale visual generators are increasingly capable but costly to train, fine-tune, and deploy. We introduce Mage-Flow, a compact 4B-scale generative stack for efficient text-to…

cs.AI2026

Argus: A General-Purpose Agentic Reasoning Runtime for Long-Horizon Tasks

Boxiu Li, Zimo Wen, Yijia Fan +24

Long-horizon reasoning requires an agentic runtime that can persist when evidence supports its current approach and pivot when measurements reveal failure, hidden constraints, or a…

cs.CV2026

UniG2U-Bench: Do Unified Models Advance Multimodal Understanding?

Zimo Wen, Boxiu Li, Wanbo Zhang +11

Unified multimodal models have recently demonstrated strong generative capabilities, yet whether and when generation improves understanding remains unclear. Existing benchmarks lac…