no code implementations • 4 Feb 2024 • Jincao Yao, Yunpeng Wang, Zhikai Lei, Kai Wang, Xiaoxian Li, Jianhua Zhou, Xiang Hao, Jiafei Shen, Zhenping Wang, Rongrong Ru, Yaqing Chen, Yahan Zhou, Chen Chen, YanMing Zhang, Ping Liang, Dong Xu
After training, ThyGPT could automatically evaluate thyroid nodule and engage in effective communication with physicians through human-computer interaction.
no code implementations • 18 Oct 2023 • Lei Wei, S. Travis Waller, Yu Mei, Yunpeng Wang, Meng Wang
The link transmission model (LTM) is an efficient and widely used macro-level approach for simulating traffic flow.
1 code implementation • 10 Mar 2023 • Tong Nie, Guoyang Qin, Yunpeng Wang, Jian Sun
Traffic volume is an indispensable ingredient to provide fine-grained information for traffic management and control.
1 code implementation • 21 Oct 2022 • Tong Nie, Guoyang Qin, Yunpeng Wang, Jian Sun
In addition, sensors are prone to error or missing data due to various kinds of reasons, speeds from these sensors can become highly noisy.
no code implementations • 31 Mar 2022 • Qichao Zhang, Yinfeng Gao, Yikang Zhang, Youtian Guo, Dawei Ding, Yunpeng Wang, Peng Sun, Dongbin Zhao
In particular, TrajGen consists of the multi-modal trajectory prediction stage and the reinforcement learning based trajectory modification stage.
1 code implementation • 16 Mar 2022 • Nevin L. Zhang, Weiyan Xie, Zhi Lin, Guanfang Dong, Xiao-Hui Li, Caleb Chen Cao, Yunpeng Wang
Some examples are easier for humans to classify than others.
no code implementations • 13 Nov 2020 • Guanwen Qiu, Xiaobing Yu, Baolin Sun, Yunpeng Wang, Lipei Zhang
Using histopathological images to automatically classify cancer is a difficult task for accurately detecting cancer, especially to identify metastatic cancer in small image patches obtained from larger digital pathology scans.
1 code implementation • 28 Oct 2020 • Jun Ma, Yao Zhang, Song Gu, Cheng Zhu, Cheng Ge, Yichi Zhang, Xingle An, Congcong Wang, Qiyuan Wang, Xin Liu, Shucheng Cao, Qi Zhang, Shangqing Liu, Yunpeng Wang, Yuhui Li, Jian He, Xiaoping Yang
With the unprecedented developments in deep learning, automatic segmentation of main abdominal organs seems to be a solved problem as state-of-the-art (SOTA) methods have achieved comparable results with inter-rater variability on many benchmark datasets.
no code implementations • 12 Apr 2020 • Ao Liu, Yunpeng Wang, Tao Li
In this paper, we propose a novel unknown attack detection method based on Intra Categories Generation in Embedding Space, namely SFE-GACN, which might be the solution of few-shot problem.
2 code implementations • MIDL 2019 • Jun Ma, Zhan Wei, Yiwen Zhang, Yixin Wang, Rongfei Lv, Cheng Zhu, Gaoxiang Chen, Jianan Liu, Chao Peng, Lei Wang, Yunpeng Wang, Jianan Chen
The \emph{second contribution} is that we systematically evaluated five benchmark methods on two representative public datasets.
no code implementations • 7 May 2017 • Haiyang Yu, Zhihai Wu, Shuqin Wang, Yunpeng Wang, Xiaolei Ma
Inspired by the domain knowledge of motion prediction, in which the future motion of an object can be predicted based on previous scenes, we propose a network grid representation method that can retain the fine-scale structure of a transportation network.
no code implementations • 16 Jan 2017 • Xiaolei Ma, Zhuang Dai, Zhengbing He, Jihui Na, Yong Wang, Yunpeng Wang
This paper proposes a convolutional neural network (CNN)-based method that learns traffic as images and predicts large-scale, network-wide traffic speed with a high accuracy.