3 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.LG2024
Sub-SA: Strengthen In-context Learning via Submodular Selective Annotation
Jian Qian, Miao Sun, Sifan Zhou +3
In-context learning (ICL) leverages in-context examples as prompts for the predictions of Large Language Models (LLMs). These prompts play a crucial role in achieving strong perfor…
cs.LG2024★ 3 cited
TimeLDM: Latent Diffusion Model for Unconditional Time Series Generation
Jian Qian, Bingyu Xie, Biao Wan +3
Time series generation is a crucial research topic in the area of decision-making systems, which can be particularly important in domains like autonomous driving, healthcare, and,…
cs.CV2024★ 4 cited
LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection
Sifan Zhou, Liang Li, Xinyu Zhang +6
Due to highly constrained computing power and memory, deploying 3D lidar-based detectors on edge devices equipped in autonomous vehicles and robots poses a crucial challenge. Being…