activity
20212025
most citedAdapMTL: Adaptive Pruning Framework for Multitask Learning Model

4 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

Unbiased Visual Reasoning with Controlled Visual Inputs

Zhaonan Li, Shijie Lu, Fei Wang +11

End-to-end Vision-language Models (VLMs) often answer visual questions by exploiting spurious correlations instead of causal visual evidence, and can become more shortcut-prone whe…

cs.DC2025

HADIS: A Hybrid Architecture for Query-Aware Diffusion Model Serving

Qizheng Yang, Tung-I Chen, Siyu Zhao +2

Query-aware model serving routes queries through cascades of increasing cost to balance quality and throughput. Existing cascade systems force all queries through the lightweight s…

cs.DC2024

DiffServe: Efficiently Serving Text-to-Image Diffusion Models with Query-Aware Model Scaling

Sohaib Ahmad, Qizheng Yang, Haoliang Wang +2

Text-to-image generation using diffusion models has gained increasing popularity due to their ability to produce high-quality, realistic images based on text prompts. However, effi…

cs.CV2024★ 4 cited

AdapMTL: Adaptive Pruning Framework for Multitask Learning Model

Mingcan Xiang, Steven Jiaxun Tang, Qizheng Yang +2

In the domain of multimedia and multimodal processing, the efficient handling of diverse data streams such as images, video, and sensor data is paramount. Model compression and mul…

cs.LG2021★ 2 cited

Rethinking Hard-Parameter Sharing in Multi-Domain Learning

Lijun Zhang, Qizheng Yang, Xiao Liu +1

Hard parameter sharing in multi-domain learning (MDL) allows domains to share some of the model parameters to reduce storage cost while improving prediction accuracy. One common sh…