Le Thanh Huong

Associate Professor
Deputy Head, Department of Information Systems

Ph.D. (Computer Science, Middlesex University, UK, 2004)
M.S. (Computer Science, Free University of Brussels, 2001)
B.S. (Hanoi University of Science and Technology, 1997)

Email: huonglt@soict.hust.edu.vn
Web:  https://users.soict.hust.edu.vn/huonglt/

• Artificial intelligence
• Natural language processing and its applications

• Artificial Intelligence
• Natural language processing: syntactic analysis, text and discourse analysis, question answering, natural language generation, text summarization, machine translation, information extraction, virtual assistant, sentiment analysis, …
• Text/web mining
• Machine learning, deep learning and theirs applications

Huong Thanh LE is an Associate Professor of Computer Science at the School of Information and Communication Technology, Hanoi University of Science and Technology (HUST). She received her Ph.D. in computer science in 2004 from Middlesex University, United Kingdom. Her research interests include artificial intelligence, natural language processing and its applications in different domains.

• Huong Thanh Le, Nhan Trong Tran (2018). A Sentiment Analyzer for Informal Text in Social Media. Journal of Science & Technology 131 (2018) , pp. 6-12.
• Pham Minh Chuan, Le Hoang Son, Mumtaz Ali, Tran Dinh Khang, Le Thanh Huong, Nilanjan Dey (2017). Link Prediction in Co-authorship Networks based on Hybrid Content Silarity Metric. Applied Intelligence, ISSN: 0924-669X. doi: 10.1007/s10489-017-1086-x. (SCI, 2016 IF = 1.904, Springer)
• Phạm Minh Chuẩn, Trần Đình Khang, Lê Thanh Hương, Trần Mạnh Tuấn, Lê Hoàng Sơn (2017). Dự đoán liên kết đồng tác giả sử dụng phân cụm bán giám sát mờ. Chuyên san Khoa học Tự nhiên – Kỹ thuật – Công nghệ (Đại học Thái Nguyên), Tập 173, số 13, ISSN 1859-2171, trang 45-50.
• Phạm Minh Chuẩn, Lê Hoàng Sơn, Trần Đình Khang, Lê Thanh Hương (2017). Đề xuất mô hình khuyến nghị cộng tác mới cho mạng đồng tác giả dựa trên chỉ số cộng tác và tương quan. Tạp chí Khoa học và Công nghệ Việt Nam, Tập 22, Số 11, 11.2017, ISSN 1859-4794, trang 9-14.
• Nguyen Thi Thu Trang, Le Thanh Huong, Duong Viet Hung (2017). Enhancing extractive summarization using non-negative matrix factorization with semantic aspects and sentence features. SoICT 2017, pp.78-83
• Huong T. Le, Son V. Nguyen, Lam N. Pham, Duy D. Nguyen and An N. Nguyen. 2016. Semantic Text Alignment based on Topic Modeling. RIVF 2016. (Best runner paper award)
• Huong Le Thanh, Luan Tran Van, Hoai Nguyen Xuan, Hien Nguyen Thi. 2015. Optimizing Genetic Algorithm in Feature Selection for Named Entity Recognition. SoICT 2015.
• Le Thanh Huong, Sam Chanrathany, Nguyen Thanh Thuy, Nguyen Thanh Long, Trinh Minh Dung (2014). Relation extraction in Vietnamese text using label propagation. Journal of Informatics and Cybernetics, Volume 30, No.1, pp. 15-27
• Huong Thanh Le, Tien Manh Le. 2013. An approach to Abstractive Text Summarization. In Procs. of the 5th International Conference of Soft Computing and Pattern Recognition (SoCPaR 2013)
• Huong Thanh Le, Luan Van Tran. 2013. Automatic Feature Selection for Named Entity Recognition Using Genetic Algorithm. In Proceedings of the 4th Symposium on Information and Communication Technology (SoICT 2013).

• Received the Golden Globe Youth Science and Technology Award in 2011

• Algorithms and Programs for Engineers
• Introduction to Information and Communication Technology
• Natural Language Processing
• Artificial Intelligence
• Advanced Artificial Intelligence

• Implement a copy detection system to support studying and research management. Funded by Hanoi University of Sicence and Technology.
• A system for storing and checking plagiarism. Funded by Hanoi University of Sicence and Technology.
• Investigate some methods for automatically summarizing text, applying for Vietnamese language. Funded by the Ministry of Education and Training.