Ente Lin — accepted AI-conference papers

2026

AssemMate: Graph-Based LLM for Robotic Assembly Assistance

Qi Zheng, Chaoran Zhang, Zijian Liang, Ente Lin, Shubo Cui, Qinghongbing Xie +2

ICRA 2026poster

Large Language Model (LLM)-based robotic assembly assistance has gained significant research attention. It requires the injection of domain-specific knowledge to guide the assembly process through natural language interaction with humans. Despite some progress, existing methods represent knowledge i…

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗

2025

DreamFit: Garment-Centric Human Generation via a Lightweight Anything-Dressing Encoder

Ente Lin, Xujie Zhang, Fuwei Zhao, Yuxuan Luo, Xin Dong, Long Zeng +1

AAAI 2025technical

Diffusion models for garment-centric human generation from text or image prompts have garnered emerging attention for their great application potential. However, existing methods often face a dilemma: lightweight approaches, such as adapters, are prone to generate inconsistent textures; while finetu…

Cited by 2 Source ↗PDF ↗Scholar ↗