4 citations · 9 across the 10 of their papers we have counts for
5 papers · 1 filter
SLICE: SLO-Driven Scheduling for LLM Inference on Edge Computing Devices
Will Chow
Large Language Models (LLMs), as the foundational architecture for next-generation interactive AI applications, not only power intelligent dialogue systems but also drive the evolu…
SSS: Semi-Supervised SAM-2 with Efficient Prompting for Medical Imaging Segmentation
Hongjie Zhu, Xiwei Liu, Rundong Xue +5
In the era of information explosion, efficiently leveraging large-scale unlabeled data while minimizing the reliance on high-quality pixel-level annotations remains a critical chal…
Dynamic Domain Adaptation-Driven Physics-Informed Graph Representation Learning for AC-OPF
Hongjie Zhu, Zezheng Zhang, Zeyu Zhang +6
Alternating Current Optimal Power Flow (AC-OPF) aims to optimize generator power outputs by utilizing the non-linear relationships between voltage magnitudes and phase angles in a…
DOEI: Dual Optimization of Embedding Information for Attention-Enhanced Class Activation Maps
Hongjie Zhu, Zeyu Zhang, Guansong Pang +6
Weakly supervised semantic segmentation (WSSS) typically utilizes limited semantic annotations to obtain initial Class Activation Maps (CAMs). However, due to the inadequate coupli…
SegKAN: High-Resolution Medical Image Segmentation with Long-Distance Dependencies
Shengbo Tan, Rundong Xue, Shipeng Luo +7
Hepatic vessels in computed tomography scans often suffer from image fragmentation and noise interference, making it difficult to maintain vessel integrity and posing significant c…