no code implementations • 8 Feb 2024 • Hengguan Huang, Songtao Wang, Hongfu Liu, Hao Wang, Ye Wang
To construct the ChatCoach system, we developed a dataset and integrated Large Language Models such as ChatGPT and Llama2, aiming to assess their effectiveness in communicative medical coaching tasks.
no code implementations • 1 Jan 2021 • Shangchuan Huang, Songtao Wang, Dan Li, Liwei Jiang
Recent works try to recover the unbiased result by estimating the proportion of positive samples with mixture proportion estimation (MPE) algorithms, but the model performance is still limited and heavy computational cost is introduced (particularly for big datasets).
1 code implementation • ECCV 2020 • Lizhen Wang, Xiaochen Zhao, Tao Yu, Songtao Wang, Yebin Liu
We propose NormalGAN, a fast adversarial learning-based method to reconstruct the complete and detailed 3D human from a single RGB-D image.
no code implementations • 21 Apr 2020 • Liwei Jiang, Dan Li, Qisheng Wang, Shuai Wang, Songtao Wang
Secondly, we propose ProbTagging, a new training method for extremely imbalanced data sets, where the number of unlabeled samples is hundreds or thousands of times that of positive samples.
no code implementations • NeurIPS 2018 • Songtao Wang, Dan Li, Yang Cheng, Jinkun Geng, Yanshu Wang, Shuai Wang, Shu-Tao Xia, Jianping Wu
In distributed machine learning (DML), the network performance between machines significantly impacts the speed of iterative training.