Ying Shen

From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI

Yongheng Zhang, Ziang Liu, Jiaxuan Zhu, et al.

Normalizing Trajectory Models

Jiatao Gu, Tianrong Chen, Ying Shen, et al.

STARFlow2: Bridging Language Models and Normalizing Flows for Unified Multimodal Generation

Ying Shen, Tianrong Chen, Yuan Gao, et al.

DreamPartGen: Semantically Grounded Part-Level 3D Generation via Collaborative Latent Denoising

Tianjiao Yu, Xinzhuo Li, Muntasir Wahed, et al.

DreamPartGen is a new AI system that generates 3D objects from text descriptions while understanding them as meaningful parts (like legs, arms, body), similar to how humans think about objects. Unlike previous methods that just focus on shape, this approach ensures each part's appearance matches the text description and that parts work together coherently, resulting in more realistic and interpretable 3D models.