Ngo Van Linh

Lecturer, Department Of Computer Science

Ph.D. (Computer Science, Hanoi University of Science and Technology, 2023)
M.S. (Computer Science, Hanoi University of Science and Technology, 2014)
B.S. (Computer Science, Hanoi University of Science and Technology, 2011)

Email: linhnv@soict.hust.edu.vn

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

• Machine Learning
• Data Mining
• Recommender System
• Natural Language Processing

• Topic models
• Variational Bayes
• Stochastic Approximation
• Streaming Learning/ Continual Learning
• Recommender System
• Large Language Models
• Information Extraction

Ngo Van Linh is currently a lecturer at Hanoi University of Science and Technology. He is also a member of the machine learning group at the BKAI center. He received his Ph.D. degree from Hanoi University of Science and Technology in 2023. His research interests include topic models, online learning, continual learning, recommender systems, and natural language processing. Several of his works have been accepted for publication at top conferences (AAAI, ACML, PAKDD, ACL, EMNLP, Coling) and in journals (MLj, TKDE, Neurocomputing, KAIS).

• Hai Nam Le, Trang Nguyen, Ngo Van Linh, Thien Huu Nguyen, and Khoat Than. “Continual variational dropout: a view of auxiliary local variables in continual learning.” Machine Learning 113, no. 1, 281-323, 2024.
• Nguyen Chien, Ngo Van Linh, and Thien Nguyen. “Retrieving relevant context to align representations for cross-lingual event detection.” In Findings of the Association for Computational Linguistics: ACL 2023, pp. 2157-2170. 2023.
• Nguyen, Huy, Chien Nguyen, Ngo Van Linh, Anh Luu, and Thien Nguyen. “A Spectral Viewpoint on Continual Relation Extraction.” In Findings of the Association for Computational Linguistics: EMNLP 2023, pp. 9621-9629. 2023.
• Bach Tran Xuan, Nguyen Duc Anh, Ngo Van Linh, and Khoat Than. “Dynamic transformation of prior knowledge into Bayesian models for data streams.” IEEE Transactions on Knowledge and Data Engineering 35, no. 4, 3742-3750. 2023.
• Nguyen Ha, Hoang Pham, Son Nguyen, Ngo Van Linh, and Khoat Than. “Adaptive infinite dropout for noisy and sparse data streams.” Machine Learning 111, no. 8, 3025-3060, 2022.
• Ngo Van Linh, Nam Le Hai, Hoang Pham, and Khoat Than. “Auxiliary local variables for improving regularization/prior approach in continual learning.” In Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 16-28. Cham: Springer International Publishing, 2022.
• Nguyen Tung, Trung Mai, Nam Nguyen, Ngo Van Linh, and Khoat Than. “Balancing stability and plasticity when learning topic models from short and noisy text streams.” Neurocomputing 505, 30-43, 2022.
• Phan Hoang, Anh Phan Tuan, Son Nguyen, Ngo Van Linh, and Khoat Than. “Reducing catastrophic forgetting in neural networks via gaussian mixture approximation.” In Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 106-117. Cham: Springer International Publishing, 2022.
• Man Hieu, Nghia Trung Ngo, Ngo Van Linh, and Thien Huu Nguyen. “Selecting optimal context sentences for event-event relation extraction.” In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 36, no. 10, pp. 11058-11066. 2022.
• Ngo Van Linh, Tran Xuan Bach, and Khoat Than. “A graph convolutional topic model for short and noisy text streams.” Neurocomputing 468, 345-359, 2022.

• Grants for research: ONRG (2018-2020); AFRL/AFORS/AOARD (2015-2017), NAFOSTED (2015-2017), HUST (2015, 2017).
• Travel grant: NAFOSTED (2017)

• IT3190: Introduction to Machine Learning and Data Mining
• IT3160: Introduction to Artificial Intelligence
• IT4613: Recommender Systems
• IT3220: C Programming (Introduction)
• IT3220: C Programming (Basic)