Le Thanh Huong

Associate Prof. Huong Thanh LE,
Vice Dean of Faculty of Computer Science

School of Information and Communication Technology
Hanoi University of Science and Technology

Ph.D. (Computer Science, Middlesex University, United Kingdom, 2004)
M.S. (Computer Science, Vrije Universiteit Brussel, 2001)
B.S. (Informatics, Hanoi University of Science and Technology, 1997)

Email: huonglt@soict.hust.edu.vn

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

• Artificial Intelligence Applications
• Natural Language Processing
• Machine Learning & Deep Learning

• Natural Language Processing: syntactics, discourse analysis, information extraction, question answering, text summarization, machine translation, spelling and grammar correction, plagiarism checking, sentiment analysis…
• Applications of Artificial Intelligence: recommender systems, expert systems, …

Huong Thanh Le is an Associate Professor of Computer Science. She works at the School of Information and Communication Technology, Hust. She received her Ph.D. in computer science in 2004 from Middlesex University, UK. Her current research interests include information extraction, question answering, text summarization, machine translation, spelling and grammar correction, plagiarism checking, sentiment analysis, and recommendation systems, … She is the Vice Dean of Faculty of Computer Science, and the leader of the Natural Language Processing group at the International Research Center for Artificial Intelligence (BK.AI)

• Thai Nguyen Quoc, Huong Le Thanh, Hanh Pham Van (2023). Khmer-Vietnamese Neural Machine Translation Improvement Using Data Augmentation Strategies. Informatica (Slovenia). https://doi.org/10.31449/inf.v47i3.4761
• Tuan Luu Minh, Huong Le Thanh, Tan Hoang Minh (2021). A hybrid model using the pre-trained BERT and deep neural networks with rich feature for extractive text summarization. Journal of Computer Scienceand Cybernetics. Volume 37, No.2, pp. 123-143.
• Nguyen Van Son, Le Thanh Huong, Nguyen Chi Thanh (2021). A two-phase plagiarism detection system based on multi-layer LSTM Networks. IAES International Journal of Artificial Intelligence.
• Minh-Tuan Luu, Thanh-Huong Le, Minh-Tan Hoang (2021). An effective deep learning approach for extractive text summarization. Indian Journal of Computer Science and Engineering. Vol. 12, No. 2, 2021, e-ISSN:0976-5166, p-ISSN:2231-3850, pp.434-444.
• Anh Pham Duy, Huong Le Thanh (2023). A Question-Answering System for Vietnamese Public Administrative Services. SOICT ’23: Proceedings of the 12th International Symposium on Information and Communication Technology. https://doi.org/10.1145/3628797.3628965
• Quang Nhat Nguyen and Huong Thanh Le (2023). Building an Efficient Retriever System with Limited Resources. Advances in Information and Communication Technology. ICTA 2023. Lecture Notes in Networks and Systems, vol 847. Springer, Cham. https://doi.org/10.1007/978-3-031-49529-8_5
• Vinh Van Nguyen, Ha Nguyen, Huong Thanh Le, Thai Phuong Nguyen, Tan Van Bui, Luan Nghia Pham, Anh Tuan Phan, Cong Hoang-Minh Nguyen, Viet Hong Tran and Anh Huu Tran (2022). KC4MT: A High-Quality Corpus for Multilingual Machine Translation. The 13th Language Resources and Evaluation Conference.
• Huong T. Le, Dung T. Cao, Trung H. Bui, Long T. Luong and Huy Q. Nguyen (2021). Improve Quora Question Pair Dataset for Question Similarity Task. RIVF 2021.
• Huong T. Le, Que X. Bui (2021). Keyphrase Extraction Using PageRank and Word Features. RIVF 2021.
• Viet Nguyen Quoc, Huong Le Thanh and Tuan Luu Minh (2019). Abstractive Text Summarization using LSTMs with Rich Features. In: Nguyen LM., Phan XH., Hasida K., Tojo S. (eds) Computational Linguistics. PACLING 2019. Communications in Computer and Information Science, vol 1215., pp. 28-40. Springer, Singapore. https://doi.org/10.1007/978-981-15-6168-9_3

• 2012 Golden Globe Award

• IT3160 Introduction to Artficial Intelligence
• IT4772 Natural Language Processing
• IT2000 Introduction to Information and Communication Technology