4 papers
Embedded Graph Flows for Categorical Graph Generation
Ethan Ma, Zihan Wang, Chris Siu Yeung Chow +5
Generating categorical graphs requires choosing node and edge types that form a coherent structure without depending on node order. Many graph generators encode categories as fixed…
Variational Feature Compression for Model-Specific Representations
Zinan Guo, Zihan Wang, Chuan Yan +3
As deep learning inference is increasingly deployed in shared and cloud-based settings, a growing concern is input repurposing, in which data submitted for one task is reused by un…
GENSERVE: Efficient Co-Serving of Heterogeneous Diffusion Model Workloads
Fanjiang Ye, Zhangke Li, Xinrui Zhong +10
Diffusion models have emerged as the prevailing approach for text-to-image (T2I) and text-to-video (T2V) generation, yet production platforms must increasingly serve both modalitie…
AI Model Modulation with Logits Redistribution
Zihan Wang, Zhongkui Ma, Xinguo Feng +5
Large-scale models are typically adapted to meet the diverse requirements of model owners and users. However, maintaining multiple specialized versions of the model is inefficient.…