Liyuan Huang

According to our database, Liyuan Huang authored at least 12 papers between 2018 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Leveraging Transfer Learning and Chemical Principles toward Interpretable Materials Properties.

Liyuan Huang, Chen Ling

J. Chem. Inf. Model., 2021

A quasi fractional order gradient descent method with adaptive stepsize and its application in system identification.

Jianjun Liu, Rui Zhai, Yuhan Liu, Wenliang Li, Bingzhe Wang, Liyuan Huang

Appl. Math. Comput., 2021

Formal verification of special vehicle priority traffic signal light control system based on TPN and Z.

Liyuan Huang, Yang Liu, Darong Huang

Proceedings of the CAA Symposium on Fault Detection, 2021

2020

Variance Analysis and Handling of Clinical Pathway: An Overview of the State of Knowledge.

Gang Du, Liyuan Huang, Mengwei Zhou

IEEE Access, 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

Mining Potentially Unreported Effects from Twitter Posts through Relational Similarity: A Case for Opioids.

Keyuan Jiang, Liyuan Huang, Tingyu Chen, Gelareh Karbaschi, Dingkai Zhang, Gordon R. Bernard

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Semantic Similarity of Side Effect and Indication Relations of Drugs Inferred from Neural Embedding.

Keyuan Jiang, Tingyu Chen, Liyuan Huang, Gelareh Karbaschi, Gordon R. Bernard

Proceedings of the 4th International Workshop on Semantics-Powered Data Mining and Analytics co-located with the 18th International Semantic Web Conference (ISWC 2019), 2019

An Explainable Approach of Inferring Potential Medication Effects from Social Media Data.

Keyuan Jiang, Tingyu Chen, Liyuan Huang, Ravish Gupta, Ricardo A. Calix, Gordon R. Bernard

Proceedings of the Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems, 2019

Structural Parameters Identification Based on Extended Kalman Filter.

Bin Zeng, Liyuan Huang, Lei Zhao, Qing Xu, Yanchao Shao, Bo Wen, Chunfeng Wan

Proceedings of the International Conference on Artificial Intelligence and Advanced Manufacturing, 2019

2018

Parameter identification for structural health monitoring based on Monte Carlo method and likelihood estimate.

Songtao Xue, Bo Wen, Rui Huang, Liyuan Huang, Tadanobu Sato, Liyu Xie, Hesheng Tang, Chunfeng Wan

Int. J. Distributed Sens. Networks, 2018

A Data-Driven Method of Discovering Misspellings of Medication Names on Twitter.

Keyuan Jiang, Tingyu Chen, Liyuan Huang, Ricardo A. Calix, Gordon R. Bernard

Proceedings of the Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth, 2018

Detecting Overlapping Communities in Knowledge Graphs: A Density Optimization Based Approach.

Zunying Qin, Liyuan Huang, Bo She, Qiang Wang, Jingru Cui, Guodong Li

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018