4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Task-Aware Parameter-Efficient Fine-Tuning of Large Pre-Trained Models at the Edge
Senkang Hu, Yanan Ma, Yihang Tao +5
Large language models (LLMs) have achieved remarkable success in various tasks, such as decision-making, reasoning, and question answering. They have been widely used in edge devic…
cs.CV2024
When Video Coding Meets Multimodal Large Language Models: A Unified Paradigm for Video Coding
Pingping Zhang, Jinlong Li, Kecheng Chen +6
Existing codecs are designed to eliminate intrinsic redundancies to create a compact representation for compression. However, strong external priors from Multimodal Large Language…
cs.CV2023★ 4 cited
Towards Full-scene Domain Generalization in Multi-agent Collaborative Bird's Eye View Segmentation for Connected and Autonomous Driving
Senkang Hu, Zhengru Fang, Yiqin Deng +3
Collaborative perception has recently gained significant attention in autonomous driving, improving perception quality by enabling the exchange of additional information among vehi…