collaborators

8 papers

cs.GR2026

CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation

Zhenyu Sun, Xiaohan Zhang, Qi Liu +1

Challenges remain in ego-centric 3D scene generation due to limited view overlap and the dominant influence of individual perspectives on scene interpretation. These factors hinder…

cs.CV2026

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention

Wenhu Zhang, Yiming Wu, Huanyu Wang +6

Diffusion Language Models (DLMs) enable globally coherent, bidirectional, and controllable text generation, offering advantages over traditional autoregressive LLMs, while scaling…

cs.SD2026

Whisper-AuT: Domain-Adapted Audio Encoder for Efficient Audio-LLM Training

Jielin Qiu, Ming Zhu, Wenting Zhao +11

Audio-native large language models (audio-LLMs) commonly use Whisper as their audio encoder. However, Whisper was trained exclusively on speech data, producing weak representations…

cs.RO2026

Device-Conditioned Neural Architecture Search for Efficient Robotic Manipulation

Yiming Wu, Huan Wang, Zhenghao Chen +2

The growing complexity of visuomotor policies poses significant challenges for deployment with heterogeneous robotic hardware constraints. However, most existing model-efficient ap…

cs.CV2025

MDP3: A Training-free Approach for List-wise Frame Selection in Video-LLMs

Hui Sun, Shiyin Lu, Huanyu Wang +5

Video large language models (Video-LLMs) have made significant progress in understanding videos. However, processing multiple frames leads to lengthy visual token sequences, presen…

cs.CV2025

Individual Content and Motion Dynamics Preserved Pruning for Video Diffusion Models

Yiming Wu, Zhenghao Chen, Huan Wang +1

The high computational cost and slow inference time are major obstacles to deploying Video Diffusion Models (VDMs). To overcome this, we introduce a new Video Diffusion Model Compr…