collaborators

5 papers

cs.MA2026

OptiMAS: Automatically Optimize Multi-Agent System

Yuxin Cheng, Chang Liu, Hanxin Yu +9

Automated evolution of Multi-Agent Systems (MAS) holds significant potential for reducing the manual effort required to design and optimize LLM-based agent architectures. However,…

cs.CV2025

Re-Activating Frozen Primitives for 3D Gaussian Splatting

Yuxin Cheng, Binxiao Huang, Wenyong Zhou +4

3D Gaussian Splatting (3D-GS) achieves real-time photorealistic novel view synthesis, yet struggles with complex scenes due to over-reconstruction artifacts, manifesting as local b…

cs.CV2025

Perspective-aware 3D Gaussian Inpainting with Multi-view Consistency

Yuxin Cheng, Binxiao Huang, Taiqiang Wu +5

3D Gaussian inpainting, a critical technique for numerous applications in virtual reality and multimedia, has made significant progress with pretrained diffusion models. However, e…

cs.MA2025

KG-RAG: Enhancing GUI Agent Decision-Making via Knowledge Graph-Driven Retrieval-Augmented Generation

Ziyi Guan, Jason Chun Lok Li, Zhijian Hou +11

Despite recent progress, Graphic User Interface (GUI) agents powered by Large Language Models (LLMs) struggle with complex mobile tasks due to limited app-specific knowledge. While…

cs.LG2025

LLM-Barber: Block-Aware Rebuilder for Sparsity Mask in One-Shot for Large Language Models

Yupeng Su, Ziyi Guan, Xiaoqun Liu +6

Large language models (LLMs) have seen substantial growth, necessitating efficient model pruning techniques. Existing post-training pruning methods primarily measure weight importa…