1 code implementation • COLING 2022 • Xinyi Mou, Zhongyu Wei, Changjian Jiang, Jiajie Peng
Frame detection aims to automatically analyze framing strategy.
no code implementations • 24 Apr 2024 • Shujian Jiao, Bingxuan Li, Lei Wang, Xiaojin Zhang, Wei Chen, Jiajie Peng, Zhongyu Wei
Proteins are essential to life's processes, underpinning evolution and diversity.
1 code implementation • 28 Aug 2023 • Zhijie Bao, Wei Chen, Shengze Xiao, Kuang Ren, Jiaao Wu, Cheng Zhong, Jiajie Peng, Xuanjing Huang, Zhongyu Wei
We propose DISC-MedLLM, a comprehensive solution that leverages Large Language Models (LLMs) to provide accurate and truthful medical response in end-to-end conversational healthcare services.
1 code implementation • 8 May 2022 • Wei Chen, Cheng Zhong, Jiajie Peng, Zhongyu Wei
Diagnosis-oriented dialogue system queries the patient's health condition and makes predictions about possible diseases through continuous interaction with the patient.
1 code implementation • 19 Apr 2022 • Wei Chen, Zhiwei Li, Hongyi Fang, Qianyuan Yao, Cheng Zhong, Jianye Hao, Qi Zhang, Xuanjing Huang, Jiajie Peng, Zhongyu Wei
In recent years, interest has arisen in using machine learning to improve the efficiency of automatic medical consultation and enhance patient experience.
no code implementations • NeurIPS 2021 • Jiwen Zhang, Zhongyu Wei, Jianqing Fan, Jiajie Peng
Vision-and-Language Navigation (VLN) is a task where an agent navigates in an embodied indoor environment under human instructions.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Yanjian Zhang, Qin Chen, Yiteng Zhang, Zhongyu Wei, Yixu Gao, Jiajie Peng, Zengfeng Huang, Weijian Sun, Xuanjing Huang
Terms contained in Gene Ontology (GO) have been widely used in biology and bio-medicine.
4 code implementations • 29 Apr 2020 • Cheng Zhong, Kangenbei Liao, Wei Chen, Qianlong Liu, Baolin Peng, Xuanjing Huang, Jiajie Peng, Zhongyu Wei
Existing approaches usually employ a flat policy structure that treat all symptoms and diseases equally for action making.
Hierarchical Reinforcement Learning reinforcement-learning +1
1 code implementation • 19 Feb 2020 • Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Cheng, Changjie Fan, Weixun Wang, Wulong Liu, Zhaodong Wang, Jiajie Peng
Transfer Learning (TL) has shown great potential to accelerate Reinforcement Learning (RL) by leveraging prior knowledge from past learned policies of relevant tasks.
no code implementations • 7 Sep 2018 • Hansheng Xue, Jiajie Peng, Xuequn Shang
Network Embedding, aiming to learn non-linear and low-dimensional feature representation based on network topology, has been proved to be helpful on tasks of network analysis, especially node classification.