1 code implementation • 11 Mar 2024 • Yuting Wei, Yuanxing Xu, Xinru Wei, Simin Yang, Yangfu Zhu, Yuqing Li, Di Liu, Bin Wu
Given the importance of ancient Chinese in capturing the essence of rich historical and cultural heritage, the rapid advancements in Large Language Models (LLMs) necessitate benchmarks that can effectively evaluate their understanding of ancient contexts.
no code implementations • 13 Oct 2023 • Zhao Su, Rongxun Liu, Keyin Zhou, Xinru Wei, Ning Wang, Zexin Lin, Yuanchen Xie, Jie Wang, Fei Wang, Shenzhong Zhang, Xizhe Zhang
The relationship between symptom severity and response time was explored, and a machine learning model was developed to predict the presence of insomnia.
1 code implementation • 24 Aug 2023 • Xiao Xu, Yang Wang, Xinru Wei, Fei Wang, Xizhe Zhang
To rectify this, we present the novel Attention-Based Acoustic Feature Fusion Network (ABAFnet) for depression detection.
no code implementations • 31 Jan 2023 • Xinru Wei, Shuai Dong, Zhao Su, Lili Tang, Pengfei Zhao, Chunyu Pan, Fei Wang, Yanqing Tang, Weixiong Zhang, Xizhe Zhang
Subtyping neuropsychiatric disorders like schizophrenia is essential for improving the diagnosis and treatment of complex diseases.
no code implementations • 13 Jun 2022 • Xizhe Zhang, Chunyu Pan, Xinru Wei, Meng Yu, Shuangjie Liu, Jun An, Jieping Yang, Baojun Wei, Wenjun Hao, Yang Yao, Yuyan Zhu, Weixiong Zhang
One of the recent approaches is based on network structural controllability that focuses on finding a control scheme and driver genes that can steer the cell from an arbitrary state to a designated state.
no code implementations • 7 Jun 2022 • Xinru Wei, Chunyu Pan, Xizhe Zhang, Weixiong Zhang
One such approach adopts structural controllability, a theory for controlling a network (the cell).