3 citations · 5 across the 6 of their papers we have counts for
6 papers
SmartMage: Dynamic Modality Orchestration for 3D Scene Understanding
Yue Zhang, Yingzhao Jian, Yunqiu Xu +2
Understanding 3D scenes is fundamental to embodied intelligence, requiring joint reasoning over heterogeneous information from multiple modalities, including visual and geometric c…
Uni-OPD: Unifying On-Policy Distillation with a Dual-Perspective Recipe
Wenjin Hou, Shangpin Peng, Weinong Wang +13
On-policy distillation (OPD) has recently emerged as an effective post-training paradigm for consolidating the capabilities of specialized expert models into a single student model…
Uni3D-MoE: Scalable Multimodal 3D Scene Understanding via Mixture of Experts
Yue Zhang, Yingzhao Jian, Hehe Fan +2
Recent advancements in multimodal large language models (MLLMs) have demonstrated considerable potential for comprehensive 3D scene understanding. However, existing approaches typi…
CktGen: Automated Analog Circuit Design with Generative Artificial Intelligence
Yuxuan Hou, Hehe Fan, Jianrong Zhang +6
The automatic synthesis of analog circuits presents significant challenges. Most existing approaches formulate the problem as a single-objective optimization task, overlooking that…
Prompt-Aware Adapter: Towards Learning Adaptive Visual Tokens for Multimodal Large Language Models
Yue Zhang, Hehe Fan, Yi Yang
To bridge the gap between vision and language modalities, Multimodal Large Language Models (MLLMs) usually learn an adapter that converts visual inputs to understandable tokens for…
Prompting through Prototype: A Prototype-based Prompt Learning on Pretrained Vision-Language Models
Yue Zhang, Hongliang Fei, Dingcheng Li +2
Prompt learning is a new learning paradigm which reformulates downstream tasks as similar pretraining tasks on pretrained models by leveraging textual prompts. Recent works have de…