1 citations · 1 across the 5 of their papers we have counts for
5 papers
Learnable Prompting SAM-induced Knowledge Distillation for Semi-supervised Medical Image Segmentation
Kaiwen Huang, Tao Zhou, Huazhu Fu +4
The limited availability of labeled data has driven advancements in semi-supervised learning for medical image segmentation. Modern large-scale models tailored for general segmenta…
Turning Generative Models Degenerate: The Power of Data Poisoning Attacks
Shuli Jiang, Swanand Ravindra Kadhe, Yi Zhou +3
The increasing use of large language models (LLMs) trained by third parties raises significant security concerns. In particular, malicious actors can introduce backdoors through po…
Event-Aided Time-to-Collision Estimation for Autonomous Driving
Jinghang Li, Bangyan Liao, Xiuyuan LU +3
Predicting a potential collision with leading vehicles is an essential functionality of any autonomous/assisted driving system. One bottleneck of existing vision-based solutions is…
Joint Beamforming and Offloading Design for Integrated Sensing, Communication and Computation System
Peng Liu, Zesong Fei, Xinyi Wang +3
Mobile edge computing (MEC) is powerful to alleviate the heavy computing tasks in integrated sensing and communication (ISAC) systems. In this paper, we investigate joint beamformi…
On Weighted MSE Model for MIMO Transceiver Optimization
Chengwen Xing, Yindi Jing, Yiqing Zhou
Mean-squared-error (MSE) is one of the most widely used performance metrics for the designs and analysis of multi-input-multiple-output (MIMO) communications. Weighted MSE minimiza…