Sicen LIU

Tenure-track Associate Professor of Computer Science and Engineering at Shenzhen MSU-BIT University (SMBU)

劉思岑

深圳北理莫斯科大學(xué)工程系 預(yù)聘副教授

She received her PhD degree from Harbin Institute of Technology in 2023. From 2023 to 2024, she conducted postdoctoral research at the Department of Computer Science and Engineering of the Hong Kong University of Science and Technology, focusing on modeling methods for irregular sampled time series data. From 2019 to 2021, she visited and interned at the Life Singularity Medical Artificial Intelligence Joint Laboratory, engaged in research on Chinese electronic medical record recognition methods based on natural language processing technology. From 2021 to 2023, she visited and interned at the Pengcheng National Laboratory, engaged in research on clinical auxiliary diagnosis and treatment methods based on semantic analysis of electronic medical records. Her research areas mainly focus on medical informatics, natural language processing, bioinformatics, etc. As the first author, she has published several academic papers in top-tier journals.

Research Interests: Medical informatics, Natural Language Processing, Bioinformatics

2023年獲得哈爾濱工業(yè)大學(xué)博士學(xué)位。2023年至2024年在香港科技大學(xué)計(jì)算機(jī)科學(xué)與工程系開(kāi)展博士后研究工作，主要研究不規(guī)則時(shí)序診療數(shù)據(jù)建模方法。2019-2021在生命奇點(diǎn)醫(yī)療人工智能聯(lián)合實(shí)驗(yàn)室訪(fǎng)問(wèn)實(shí)習(xí)，從事基于自然語(yǔ)言處理技術(shù)的中文電子病歷識(shí)別方法研究。2021-2023在鵬城國(guó)家實(shí)驗(yàn)室訪(fǎng)問(wèn)實(shí)習(xí)，從事基于電子病歷語(yǔ)義分析的臨床輔助診療方法研究。她的研究方向主要醫(yī)學(xué)信息學(xué)、自然語(yǔ)言處理、生物信息學(xué)等，以第一作者在國(guó)際知名刊物上發(fā)表多篇學(xué)術(shù)論文。

研究方向：醫(yī)學(xué)信息學(xué)、自然語(yǔ)言處理、生物信息學(xué)

Selected papers:

[1]Sicen Liu, Shutao Chen, Tao Bai, Bin Liu. FusionEncoder: identification of intrinsically disordered regions based on multi-feature fusion. 2025. Bioinformatics.

[2]Sicen Liu, Xiaolong Wang, Jingcheng Du, Yongshuai Hou, Xianbing Zhao, Hui Xu, Hui Wang, Yang Xiang, BuZhou Tang. SHAPE: A Sample-adaptive Hierarchical Prediction Network for Medication Recommendation. 2023. IEEE Journal of Biomedical and Health Informatics.

[3]Sicen Liu, Xiaolong Wang, Yongshuai Hou, Ge Li, Hui Wang, Hui Xu, Yang Xiang, Buzhou Tang. Multimodal Data Matters: Language Model Pre-Training Over Structured and Unstructured Electronic Health Records. 2022. IEEE Journal of Biomedical and Health Informatics.

[4]Sicen Liu, Xiaolong Wang, Yang Xiang, Hui Xu, Hui Wang, Buzhou Tang. CATNet: Cross-event Attention- based Time-aware Network for Medical Event Prediction. 2022. Artificial Intelligence In Medicine.

[5]Sicen Liu, Xiaolong Wang, Yang Xiang, Hui Xu, hui Wang, Buzhou Tang. Multi-channel fusion LSTM for medical event prediction using EHRs. 2022. Journal of Biomedical Informatics.

[6]Sicen Liu, Tao Li, Haoyang Ding, Buzhou Tang, Xiaolong Wang, Qingcai Chen, Jun Yan, Yi Zhou. A hybrid method of recurrent neural network and graph neural network for next-period prescription prediction. 2020. International Journal of Machine Learning and Cybernetics

[7]Sicen Liu, Hao Chen. Knowledge Injected Multimodal Irregular EHRs Model for Medical Prediction.International Workshop on Trustworthy Artificial Intelligence for Healthcare.IJCAI, 2024: 25-39.

[8]Sicen Liu, Xiaolong Wang, Xianbing Zhao, Hao Chen. DKINet: Medication Recommendation via Domain Knowledge Informed Deep Learning. BIBM, 2024

[9]Xianbing Zhao, Yixin Chen, Sicen Liu, Xuan Zang, Yang Xiang, and Buzhou Tang. TMMDA: A New Token Mixup Multimodal Data Augmentation for Multimodal Sentiment Analysis. 2023. In Proceedings of the ACM Web Conference 2023 (WWW).

[10]Xianbing Zhao, Yixin Chen, Sicen Liu, Buzhou Tang. Shared-Private Memory Networks for Multimodal Sentiment Analysis. 2022. IEEE Transactions on Affective Computing.