Shichao Feng

According to our database, Shichao Feng authored at least 8 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

An active-learning method based on hierarchical Kriging model for multi-fidelity reliability analysis.

Shichao Feng, Lei Wang, Haibo Dong, Yanqing Li, Zhengquan Wan, Carlos Guedes Soares

Reliab. Eng. Syst. Saf., 2026

2024

SEMQuant: Extending Sipros-Ensemble with Match-Between-Runs for Comprehensive Quantitative Metaproteomics.

Bailu Zhang, Shichao Feng, Manushi Parajuli, Yi Xiong, Chongle Pan, Xuan Guo

Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024

2022

MetaLP: An integrative linear programming method for protein inference in metaproteomics.

Shichao Feng, Hong-Long Ji, Huan Wang, Bailu Zhang, Ryan Sterzenbach, Chongle Pan, Xuan Guo

PLoS Comput. Biol., October, 2022

FineFDR: Fine-grained Taxonomy-specific False Discovery Rates Control in Metaproteomics.

Shengze Wang, Shichao Feng, Chongle Pan, Xuan Guo

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2020

Assessment of Word Embedding Techniques for Identification of Personal Experience Tweets Pertaining to Medication Uses.

Keyuan Jiang, Shichao Feng, Ricardo A. Calix, Gordon R. Bernard

Proceedings of the Precision Health and Medicine - A Digital Revolution in Healthcare, 2020

Mining Potential Effects of HUMIRA in Twitter Posts Through Relational Similarity.

Keyuan Jiang, Shichao Feng, Liyuan Huang, Tingyu Chen, Gordon R. Bernard

Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

2018

Identifying tweets of personal health experience through word embedding and LSTM neural network.

Keyuan Jiang, Shichao Feng, Qunhao Song, Ricardo A. Calix, Matrika Gupta, Gordon R. Bernard

BMC Bioinform., 2018

Detecting Personal Experience Tweets for Health Surveillance Using Unsupervised Feature Learning and Recurrent Neural Networks.

Shichao Feng, Keyuan Jiang, Jiyun Li, Ricardo A. Calix, Matrika Gupta

Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018