1 code implementation • Findings (NAACL) 2022 • Junwei Yang, Zequn Liu, Ming Zhang, Sheng Wang
Collectively, we envision our method will become an important benchmark for evaluating Graph2Text methods and advance biomedical research for complex diseases.
no code implementations • 5 Mar 2024 • Kangjie Zheng, Siyu Long, Tianyu Lu, Junwei Yang, Xinyu Dai, Ming Zhang, Zaiqing Nie, Wei-Ying Ma, Hao Zhou
Protein language models have demonstrated significant potential in the field of protein engineering.
no code implementations • 1 Dec 2023 • Junwei Yang, Pietro Liò
In recent studies on MRI reconstruction, advances have shown significant promise for further accelerating the MRI acquisition.
no code implementations • 1 Dec 2023 • Junwei Yang, Pietro Liò
We also compare the reconstruction performance with existing deep learning-based methods using a dataset of brain MRI scans.
no code implementations • 11 Apr 2023 • Wei Ju, Zheng Fang, Yiyang Gu, Zequn Liu, Qingqing Long, Ziyue Qiao, Yifang Qin, Jianhao Shen, Fang Sun, Zhiping Xiao, Junwei Yang, Jingyang Yuan, Yusheng Zhao, Yifan Wang, Xiao Luo, Ming Zhang
Graph representation learning aims to effectively encode high-dimensional sparse graph-structured data into low-dimensional dense vectors, which is a fundamental task that has been widely studied in a range of fields, including machine learning and data mining.
1 code implementation • 14 Oct 2022 • Zequn Liu, Kefei Duan, Junwei Yang, Hanwen Xu, Ming Zhang, Sheng Wang
Meta-path, a sequence of node types and edge types, is the core technique to embed HINs.
no code implementations • 21 May 2022 • Wei Ju, Junwei Yang, Meng Qu, Weiping Song, Jianhao Shen, Ming Zhang
This problem is typically solved by using graph neural networks (GNNs), which yet rely on a large number of labeled graphs for training and are unable to leverage unlabeled graphs.
no code implementations • 15 Mar 2022 • Junwei Yang, Ke Zhang, Zhaolin Cui, Jinming Su, Junfeng Luo, Xiaolin Wei
On the other hand, InsCon introduces the pull and push of cell-instance, which utilizes cell consistency to enhance fine-grained feature representation for precise boundary localization.
no code implementations • 11 Nov 2021 • Junwei Yang, Xiao-Xin Li, Feihong Liu, Dong Nie, Pietro Lio, Haikun Qi, Dinggang Shen
Recent studies on T1-assisted MRI reconstruction for under-sampled images of other modalities have demonstrated the potential of further accelerating MRI acquisition of other modalities.
1 code implementation • 22 May 2021 • Jin Zhu, Chuan Tan, Junwei Yang, Guang Yang, Pietro Lio'
We also employ transfer learning to enable MIASSR to tackle SR tasks of new medical modalities, such as cardiac MR images (ACDC) and chest computed tomography images (COVID-CT).
no code implementations • 13 May 2019 • Ashwini Pokle, Roberto Martín-Martín, Patrick Goebel, Vincent Chow, Hans M. Ewald, Junwei Yang, Zhenkai Wang, Amir Sadeghian, Dorsa Sadigh, Silvio Savarese, Marynel Vázquez
We present a navigation system that combines ideas from hierarchical planning and machine learning.