Home » AI Researchs » Research Team » Machine learning

Introduction

“The most important general-purpose technology of our era is Artificial Intelligence, particularly Machine Learning” – Harvard Business Review, 2017/7.

Our research group focuses on some fundamental problems of Machine Learning in general and Deep Learning in particular. We also study to use modern technologies from Machine Learning to other application areas. See the slides here for more detail.

Contact: Assoc. Prof. Than Quang Khoat, Email: khoattq@soict.hust.edu.vn

Research Directions

  • Continual learning: Explore new models and methods that can help a machine to learn continually from tasks to tasks, or when the data may come sequentially and infinitely.
  • Deep generative models: Explore novel models that can generate realistic data (images, videos, music, art, materials,…). Some recent models include Generative Adversarial Nets (GAN), Variational Autoencoders (VAE), Diffusion probabilistic models (DPM).
  • Theoretical foundation of Deep Learning: Explore why deep neural networks often generalize well, why overparameterized models can generalize really well in practice. Explore conditions for high generalization of machine learning models.
  • Representation learning: Explore novel ways to learn a latent representation of data, for which it can boost the performance of different machine learning models in different applications.
  • Recommender system: Explore the efficiency of modern machine learning models in recommender systems.

Some Research Problems

  • Why does catastrophic forgetting appear and how to avoid it when learning continually from tasks to tasks? What is an efficient way to balance different sources of knowledge?
  • Why are noises and sparsity really challenging when working with data streams, for which the data may come sequentially and infinitely? How to overcome those challenges?
  • Explore novel models that can generate realistic data (images, videos, music, art, materials,…).
  • Why can those generative models generalize well although most are unsupervised in nature?
  • Can adversarial models really generalize when different players use different losses?
  • Why do deep neural networks often generalize well?
  • Why do deep neural networks often suffer from adversarial attacks or noises? What are the fundamental roots and how to overcome them?
  • Why can overparameterized models generalize really well in practice?
  • What are the necessary conditions for high generalization of machine learning models?
  • What are the criteria for ensuring that a learnt latent representation of data is good? What are good criteria for learning new latent space?
  • Does self-supervised learning really generalize?
  • Why extreme sparsity is an extreme challenge in recommender systems? How to efficiently deal with sparsity?
  • Can modeling high-order interactions between users and items help improve the effectiveness of recommender systems?
  • Can modeling sequential behaviors of online users help improve the effectiveness of recommender systems?

Team Members

Assoc. Prof. Than Quang Khoat
Team Leader

MS. Ngo Van Linh
Member

Projects and Solutions

[VINIF2019] Human Knowledge in Machine Learning Models for Big Data or Infinite Streams
[ONRG2018] Learning an effective representation for the hidden semantics

Latest Publications

Publications in 2026

  1. Nguyễn Thị Mai Anh. From awareness to action: The role of green consumer identity, marketing signals, and perceived greenwashing in sustainable consumption. Innovative Marketing. 100-114. 29/06/2026
  2. Dao Quoc Phong, Nguyen Hoang Son, Chi Pham Khanh, Van Linh Ngo, Diep Nguyen Thi Ngoc, Nguyen Thien Huu, Le Trung. TALAS: Teacher-Anchored Layer Alignment with Adaptive Sharpness-Aware Minimization for Embedding Distillation. Association for Computational Linguistics. 32705-32723. San Diego, California, United States. 02/07/2026
  3. Tung Tran, Danilo Vasconcellos Vargas, Khoat Than. LCA: LOCAL CLASSIFIER ALIGNMENT FOR CONTINUAL LEARNING. International Conference on Learning Representations. Brazil. 23/04/2026
  4. Kien Tran Duc Tuan, Tam Nguyen Trong, Son Nguyen Hoang, Than Khoat, Nguyen Duc Anh. Enhancing visual feature attribution via weighted integrated gradients. Pattern Recognition Letters. 68-74. 14/06/2026
  5. Vu Hai An, Truong Minh-Phuc, Vu Tu, Van Linh Ngo. MoL: Mixture of Layers in Cross-Tokenizer embedding model distillation. Knowledge-Based Systems. 116001. 12/04/2026
  6. Thi Hong Vuong, Tung Doan, Atsuhiro Takasu. MLConvTrans: Multi-Level Convolutional Transformer for Wearable Sensor Based Human Activity Recognition. Neural Processing Letters. 40-65. 19/05/2026
  7. Hoang Tran Vuong, Linh Ngo Van, Dang Nguyen, Thin Nguyen, Phuoc Nguyen, Mehrtash Harandi, Trung Le. f-Divergence Self-Play for Tabular Anomaly Detection via Large Language Models. International Conference on Machine Learning. 1-28. Seoul, South Korea. 06/07/2026
  8. Thanh Hai Hoang, Nguyen Duy-Tung, Tran Hung The, Than Khoat. Using Synthetic Data to Estimate the True Error is Theoretically and Practically Doable. Machine Learning. 68-95. 01/03/2026
  9. Xuan Minh Chu, Nguyen Tien-Phat, Van Linh Ngo, Sang Dinh Viet, Diep Nguyen Thi Ngoc, Le Trung. LLM-XTM: Enhancing Cross-Lingual Topic Models with Large Language Models. Association for Computational Linguistics. 3719-3737. San Diego, California, United States. 02/07/2026
  10. Vuong Hoang Tran, Le Tue, Tran Quyen, Van Linh Ngo, Le Trung. MCW-KD: Multi-Cost Wasserstein Knowledge Distillation for Large Language Models. National Conference of the American Association for Artificial Intelligence. 33332-33340. 14/03/2026
  11. Van-Anh Nguyen, Mehrtash Harandi, Thanh-Toan Do, Linh Ngo Van, Dinh Phung, Trung Le. Align-SAM: Seeking Flatter Minima for Better Cross-Subset Alignment. International Conference on Learning Representations. 1-24. 23/04/2026
  12. Nguyen Tien-Phat, Pham Thi Phuong Giang, Do Phan Thuan, Le Anh-Cuong, Ngo Van Linh. A framework for cross-lingual topic modeling using global context spaces and unified decoding with semantic knowledge distillation. Neurocomputing. 134278. 12/06/2026
  13. Tan Luc Phan, Pham Lan Xuan, Bui Trang Thanh. Personality Traits and Social Entrepreneurial Intention: The Mediating Effect of Perceived Desirability and Perceived Feasibility. Journal of Entrepreneurship. 56-80. 25/12/2020
  14. Dao Quoc Phong, Nguyen Hoang Son, Chi Pham Khanh, Nguyen Tung, Van Linh Ngo, Diep Nguyen Thi Ngoc, Le Trung. SRA: Span Representation Alignment for Large Language Model Distillation. Association for Computational Linguistics. 32961-32975. San Diego, California, United States. 01/07/2026
  15. Nguyen Truong, Van Dat Phi, Nguyen Ngan, Van Linh Ngo, Le Trung, Nguyen Thanh Hong. CTPD: Cross Tokenizer Preference Distillation. National Conference of the American Association for Artificial Intelligence. 37783-37790. 14/03/2026
  16. Nguyen Chien Van, Rossi Ryan A., Van Linh Ngo, Dernoncourt Franck, Nguyen Thien Huu. Octopus: Gated Selective Attention for Memory-Bounded Long-Context Inference in Large Language Models. Association for Computational Linguistics. 35311-35323. San Diego, California, United States. 02/07/2026
  17. Vinh Le, Nguyen Hong Dang, Tu Vu, Linh Ngo Van, Duc Anh Nguyen, Trung Le. HieRD: Hierarchical Relational Distillation for Vision-Language Embedding Models. International Conference on Machine Learning. 1-25. Seoul, South Korea. 06/07/2026
  18. Chi Pham Khanh, Dao Quoc Phong, Nguyen Thuat, Van Linh Ngo, Le Trung, Nguyen Thanh Hong. MTA: Multi-Granular Trajectory Alignment for Large Language Model Distillation. Association for Computational Linguistics. 32669-32684. San Diego, California, United States. 02/07/2026
  19. . .
  20. Quyen Tran, Hai Nguyen, Quan Dao, Hoang Phan, Linh Van, Khoat Than, Dinh Phung, Dimitris Metaxas, Trung Le. An Optimal Transport-driven Approach for Cultivating Latent Space in Online Incremental Learning. IEEE Conference on Computer Vision and Pattern Recognition. 10851-10862. 03/06/2026
  21. Nguyen Tung, Ngo Van Linh, Nguyen Duc Anh, Dinh Viet Sang. Global and local context in short text neural topic model. Artificial Intelligence. 104502. 12/02/2026
  22. Minh Nguyen Quoc Nhat, Dang Nguyen Hong, Linh Ngo Van, Sang Dinh Viet, Nguyen Duc Anh. AQS-IDETR: Adaptive Query Selection for Efficient Inference in Real-Time Detection Transformers. Image and Vision Computing. 1-12. 22/06/2026
  23. Truong Nguyen, Tien-Phat Nguyen, Linh Ngo Van, Duy Minh Ho Nguyen, Khoa D. Doan, Trung Le. TokenRatio: Principled Token-Level Preference Optimization via Ratio Matching. International Conference on Machine Learning. 1-23. Seoul, South Korea. 05/07/2026
  24. Thi Hong Vuong, Tung Doan, Atsuhiro Takasu. ConvTransAKD: Multi-level Wasserstein Alignment for Efficient Knowledge Distillation in Sensor-Based Activity Recognition. Lecture Notes in Computer Science. 197–203. Graz, Austria. 12/08/2026
  25. Doan Tung, Nguyen Duc, Vuong Hong. Temporal Tree-Sliced Wasserstein distance for time-series data. Pattern Analysis and Applications. 162-189. 15/07/2026
  26. Pham Khanh Chi, Le Tue, Le Anh-Cuong, Ngo Van Linh. A multi-objective surrogate framework for training neural topic models. Neurocomputing. 133432. 20/03/2026
  27. Pham Khanh Chi, Tran Vuong Hoang, Dinh Viet Sang, Ngo Van Linh. A framework for neural topic modeling using hierarchical clustering and contrastive learning with optimal transport. Neurocomputing. 132530. 24/12/2025
  28. Nguyen Thanh Vinh, Van Dong Ngo, Xuan Minh Chu, Nguyen Tung, Van Linh Ngo, Sang Dinh Viet, Le Trung. Beyond Coherence: Improving Temporal Consistency and Interpretability in Dynamic Topic Models. European Association for Computational Linguistics. 3609-3629. Rabat, Morocco. 24/03/2026
  29. Le-Anh Minh, Nguyen Huyen, Tran An Khanh, Le Hai Nam, Van Linh Ngo, Bui Nghi D.Q., Le Bach. Do Not Treat Code as Natural Language: Implications for Repository-Level Code Generation and Beyond. Automated Software Engineering Conference. 366-389. Montreal, Canada. 30/06/2026
  30. Van Hung Pham, Hieu Nguyen Manh, Tuan Khang Pham Tran, Hai Nam Le, Van Linh Ngo, Diep Nguyen Thi Ngoc, Le Trung. MemORAI: Memory Organization and Retrieval via Adaptive Graph Intelligence for LLM Conversational Agents. Proceedings of the Annual Meeting of the Association for Computational Linguistics. 28235-28253. San Diego, California, United States. 02/07/2026
  31. Tran Thang Duc, Truong Minh-Phuc, Phan Thuan Do, Van Linh Ngo. SAMD: Span-Aware Matryoshka Distillation for Cross-Tokenizer Embedding Models. Machine Learning. 1-38. 01/06/2026
  32. Dao Bao-Ngoc, Le Minh, Nguyen Quang, Ngo Dinh Luyen, Le Hai Nam, Ngo Van Linh. WAVE++: Capturing within-task variance for continual relation extraction with adaptive prompting. Neurocomputing. 132915. 01/04/2026
  33. Huy Phung Gia, Vu Hai An, Truong Minh-Phuc, Tran Thang Duc, Van Linh Ngo, Nguyen Thanh Hong, Le Trung. MIPIC: Matryoshka Representation Learning via Self-Distilled Intra-Relational and Progressive Information Chaining. Association for Computational Linguistics. 13824-13838. San Diego, California, United States. 02/07/2026
  34. Nguyen Tung, Doan Duy-Tung, Luong Huu-Thanh, Ngo Van Linh. Sub-document neural topic model. Knowledge-Based Systems. 114762. 24/10/2025
  35. Hai Nam Le, Van Linh Ngo, Dinh Sang. Mozila : Continual Event Detection Through the Lens of Multi-Objective Optimization and Language Model Head Preservation. Computational Linguistics. 1-46. 09/07/2026
  36. Hai Nam Le, Le Anh Duc, Vu Tu, Van Linh Ngo. Discord: Enhancing knowledge distillation via cross-chain of thought and optimal transport alignment between models with different tokenizers. Knowledge-Based Systems. 116606. 01/10/2026
  37. Shafiq Muhammad, Zeb Liaqat. 4D Printing in Biomedical Implants and Functional Healthcare Devices. Journal of Functional Biomaterials. 203. 14/04/2026
  38. Duc Trung Vu, Pham Khanh Chi, Dat Phi Van, Linh Ngo Van, Sang Dinh, Trung Le. DWA-KD: Dual-Space Weighting and Time-Warped Alignment for Cross-Tokenizer Knowledge Distillation. European Association for Computational Linguistics. 3513-3527. Rabat, Morocco. 24/03/2026
  39. Le Phan Gia, Duong Hai Sang, Cho Sungbo, Kim Moon Il. Ferredoxin-inspired iron-sulfur cluster embedded reduced graphene oxide as nanozymes for efficient electrochemical H2O2 sensing. Biosensors and Bioelectronics. 118638
  40. Shafiq Muhammad, Ali Sardar, Zeb Liaqat. Antimicrobial peptides in shrimp aquaculture: Mechanisms, translational applications, and future perspectives. Fish and Shellfish Immunology. 111428. 13/05/2026
  41. TUNG DOAN, HOANG LE, AND HONG VUONG. Ordered Tree-Sliced Wasserstein Distance for Sequential Data. IEEE Access. 74519 - 74540. 06/05/2026
  42. Phat Nguyen Tien, Minh Ngo Vu, Van Linh Ngo, Diep Nguyen Thi Ngoc, Nguyen Thien Huu. GloCTM: Cross-Lingual Topic Modeling via a Global Context Space. National Conference of the American Association for Artificial Intelligence. 32710-32718. 14/03/2026

Publications in 2025

  1. Quang Duc Nguyen, Tung Nguyen, Duc Anh Nguyen, Linh Ngo Van, Sang Dinh, Thien Huu Nguyen. GloCOM: A Short Text Neural Topic Model via Global Clustering Context. Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies. 1109–1124. Albuquerque, New Mexico. 28/04/2025
  2. Tung Nguyen, Tue Le, Hoang Tran Vuong, Quang Duc Nguyen, Duc Anh Nguyen, Linh Ngo Van, Sang Dinh, Thien Huu Nguyen. Sharpness-Aware Minimization for Topic Models with High-Quality Document Representations. Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies. 4507–4524. Albuquerque, New Mexico. 28/04/2025
  3. Cui Wei, Ullah Ismat, Lin Weiming, Zhang Jupei, Chen Zhaowei, Yang Shuyi, Peng Wei, Zhuang Yin, Chen Wenjin, Cao Yi, Zhang Shujun, Jin Shengyang, Yang Liang. Multifunctional Sr2+/Zn2+ Co‐Doped Mesoporous Silica Nanoparticles in Injectable Hydrogel for Ameliorating Osteoporotic Osseointegration. Advanced Healthcare Materials. 15/06/2025
  4. Tue Le, Hoang Tran Vuong, Tung Nguyen, Linh Ngo Van, Sang Dinh, Trung Le, Thien Huu Nguyen. Multi-Surrogate-Objective Optimization for Neural Topic Models. Findings of the Association for Computational Linguistics: EMNLP 2025. 135–151. 04/11/2025
  5. Lichuan Xiang, Quan Nguyen-Tri, Lan-Cuong Nguyen, Hoang Pham, Khoat Than, Long Tran-Thanh, Hongkai Wen. DPaI: Differentiable Pruning at Initialization with Node-Path Balance Principle. International Conference on Learning Representations. Singapore. 24/04/2025
  6. Doan Tung, To Hiep, Vuong Hong, Visani Muriel, Takasu Atsuhiro, Than Khoat. Generalized ordered Wasserstein distance for sequential data. Pattern Recognition. 111952. 31/05/2025
  7. Tu Vu, Manh Do, Tung Nguyen, Linh Ngo Van, Sang Dinh, Thien Huu Nguyen. Topic Modeling for Short Texts via Optimal Transport-Based Clustering. Findings of the Association for Computational Linguistics: ACL 2025. 7666–7680. 27/07/2025
  8. Anh Nguyen Hoang, Tran Quyen, Nguyen Thanh Xuan, Diep Nguyen Thi Ngoc, Van Linh Ngo, Nguyen Thien Huu, Le Trung. Mutual-pairing Data Augmentation for Fewshot Continual Relation Extraction. Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies. 4057-4075. 28/04/2025
  9. Nguyen Tung, Pham Duy-Tung, Nguyen Quang Duc, Ngo Van Linh, Nguyen Duc Anh, Dinh Viet Sang. TopiCOT: Neural topic model aligning with pre-trained clustering and optimal transport. Neurocomputing. 131268. 13/08/2025
  10. Naoto Sahara, Yoichi Hirano, Thien Phuc Le, Katsuya Yamakawa, Eisaku Ohashi, Satoru Shibuya, Kazuo Komano, Keiichiro Hirai, Moriyasu Masui, Go Kato, Takafumi Higuchi, Yuto Shimazaki, Takahiro Kawajiri, Tadashi Oohara, Naoki Tsuno, Takafumi Ohara. Development of a Manufacturing Process for S‑892216 Part I: A Novel Method for Constructing a Multi-Substituted Barbiturate Skeleton for Scalable Synthesis. Organic Process Research & Development. 1373-1382. 12/05/2025
  11. . .
  12. Quyen Tran, Tung Lam Tran, Khanh Doan, Toan Tran, Dinh Phung, Khoat Than, Trung Le. Boosting Multiple Views for pretrained-based Continual Learning. International Conference on Learning Representations. Singapore. 24/04/2025
  13. Le Minh, Nguyen An, Nguyen Huy, Nguyen Trang, Pham Trang, Ngo Linh Van, Ho Nhat. Mixture of Experts Meets Prompt-Based Continual Learning. Advances in Neural Information Processing Systems 37. 119025-119062. Vancouver, BC, Canada. 08/12/2024
  14. ["Liaqat Zeb","Muhammad Shafiq","Monica Jordheim"]. Advancements in sustainable extraction of seaweed phenolics: Integrating extraction technologies with natural deep eutectic solvents (NADES). Food Chemistry. 144941. 26/05/2025
  15. Luong Tinh Son, Le Thanh-Thien, Doan Thang Viet, Van Linh Ngo, Nguyen Thien Huu, Diep Nguyen Thi Ngoc. ToVo: Toxicity Taxonomy via Voting. Findings of the Association for Computational Linguistics: NAACL 2025. 201-212. 28/04/2025
  16. Thien Phuc Le, Takahiro Kawajiri, Naoto Sahara, Go Kato, Masahiro Hosoya, Tadashi Oohara, Kazushi Agura, Takafumi Ohara, Satoshi Goda. Development of a Manufacturing Process for S‑892216 Part II: Improvements Toward Commercially Feasible Process. Organic Process Research & Development. 1383−1391. 12/05/2025
  17. Hoang Tran Vuong, Tue Le, Tu Vu, Tung Nguyen, Linh Van Ngo, Sang Dinh, Thien Huu Nguyen. HiCOT: Improving Neural Topic Models via Optimal Transport andContrastive Learning. Findings of the Association for Computational Linguistics: ACL 2025. 13894–13920. 27/07/2025
  18. Minh Le, Tien Ngoc Luu, An Nguyen The, Thanh-Thien Le, Trang Nguyen, Tung Thanh Nguyen, Linh Ngo Van, Thien Huu Nguyen. Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective. Proceedings of the AAAI Conference on Artificial Intelligence. 24384-24392. USA. 23/02/2025
  19. Than Khoat, Phan Dat, Vu Giang. Gentle local robustness implies generalization. Machine Learning. 25/03/2025
  20. Nguyen Xuan Thanh, Anh Duc Le, Quyen Tran, Thanh-Thien Le, Linh Ngo Van, Thien Huu Nguyen. Few-Shot, No Problem: Descriptive Continual Relation Extraction. Proceedings of the AAAI Conference on Artificial Intelligence. 25282-25290. USA. 24/02/2025
  21. Anh Duc Le, Nam Le Hai, Thanh Xuan Nguyen, Linh Ngo Van, Nguyen Thi Ngoc Diep, Sang Dinh, Thien Huu Nguyen. Enhancing Discriminative Representation in Similar Relation Clusters for Few-Shot Continual Relation Extraction. Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies. 2450–2467. Albuquerque, New Mexico. 28/04/2025
  22. Tien Phat Nguyen, Vu Minh Ngo, Tung Nguyen, Linh Van Ngo, Duc Anh Nguyen, Sang Dinh, Trung Le. XTRA: Cross-Lingual Topic Modeling with Topic and Representation Alignments. Findings of the Association for Computational Linguistics: EMNLP 2025. 5561–5575. 04/11/2025
  23. Toan Ngoc Nguyen, Nam Le Hai, Nguyen Doan Hieu, Dai An Nguyen, Linh Ngo Van, Thien Huu Nguyen, Sang Dinh. Improving Vietnamese-English Cross-Lingual Retrieval for Legal and General Domains. Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies. 142–153. Albuquerque, New Mexico. 28/04/2025
  24. Hieu Nguyen Manh, Anh Vu Lam, Van Hung Pham, Hai Nam Le, Van Linh Ngo, Diep Nguyen Thi Ngoc, Nguyen Thien Huu. MaGiX: A Multi-Granular Adaptive Graph Intelligence Framework for Enhancing Cross-Lingual RAG. Findings of the Association for Computational Linguistics: EMNLP 2025. 5202-5219. Suzhou, China. 04/11/2025
  25. Le Tue, Tran Hoang, Tran Quyen, Ngo Linh, Harandi Mehrtash, Le Trung. Token-Level Self-Play with Importance-Aware Guidance for Large Language Models. Advances in Neural Information Processing Systems 38. 133933-133968. San Diego, California, USA and Mexico City, Mexico. 01/12/2025
  26. Lan-Cuong Nguyen, Quan Nguyen-Tri, Bang Khanh, Dung D. Le, Long Tran-Thanh, Khoat Than. Provably Improving Generalization of Few-shot models with Synthetic Data. ICML. Canada. 12/07/2025
  27. Pham Thanh Duc, Hai Nam Le, Van Linh Ngo, Diep Nguyen Thi Ngoc, Dinh Sang, Nguyen Thien Huu. Mitigating Non-Representative Prototypes and Representation Bias in Few-Shot Continual Relation Extraction. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 10791-10809. Vienna, Austria. 27/07/2025
  28. Minh-Phuc Truong, Hai An Vu, Tu Vu, Nguyen Thi Ngoc Diep, Linh Ngo Van, Thien Huu Nguyen, Trung Le. EMO: Embedding Model Distillation via Intra-Model Relation and Optimal Transport Alignments. the Association for Computational Linguistics: EMNLP 2025. 7606-7618. 04/11/2025

Publications in 2024

  1. T. K. Lai, and I. L. Ngo. An investigation on the thermo-electrohydraulic performance of novel ECF micro-pump.. International Journal of Heat and Mass Transfer. 29/09/2024
  2. Sikandar Ali Qalati, MengMeng Jiang, Samuel Gyedu, and Emmanuel Kwaku Manu. Do Strong Innovation Capability and Environmental Turbulence Influence the Nexus Between Customer Relationship Management and Business Performance?. Business Strategy and the Environment. 02/07/2024
  3. Hoàng Thanh Hải, Thân Quang Khoát. A DEEP LEARNING APPROACH FOR CREDIT SCORING. TNU Journal of Science and Technology. 14/05/2024
  4. Duy-Tung Pham, Thien Trang Nguyen Vu, Tung Nguyen, Linh Ngo Van, Duc Anh Nguyen, Thien Huu Nguyen. NeuroMax: Enhancing Neural Topic Modeling via Maximizing Mutual Information and Group Topic Regularization. the 2024 Conference on Empirical Methods in Natural Language Processing. 7758–7772. 11/11/2024
  5. Luong Tinh, Le Thanh-Thien, Ngo Linh, Nguyen Thien. Realistic Evaluation of Toxicity in Large Language Models. Association for Computational Linguistics. 1038-1047. Bangkok, Thailand and virtual meeting. 11/08/2024
  6. JYE Tin, WW Tan, AA Bakar, MS Mahali, FF Lothai, NF Mohammad, SSA Hassan & KF Chin. A Conceptual Design of Sustainable Solar Photovoltaic (PV) Powered Corridor Lighting System with IoT Application. ICREEM 2022. 09/03/2024
  7. . .
  8. Hieu Man, Chien Van Nguyen, Nghia Trung Ngo, Linh Ngo, Franck Dernoncourt, Thien Huu Nguyen. Hierarchical Selection of Important Context for Generative Event Causality Identification with Optimal Transports. Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). 8122–8132. Torino, Italy. 20/05/2024
  9. Trinh Thi Ha, Nguyen Trung Dung, Nguyen Thanh Huong, Tran Trong An, Pham Van Tuan, Vu Ngoc Hung, Chu Manh Hoang. Investigating the coupling length of two triangle hybrid gap plasmonic waveguides. The International Conference on Advanced Materials and Technology (ICAMT 2024). 10-13. Hanoi. 09/10/2024
  10. Le Thanh-Thien, Dao Viet, Nguyen Linh, Nguyen Thi-Nhung, Ngo Linh, Nguyen Thien. SharpSeq: Empowering Continual Event Detection through Sharpness-Aware Sequential-task Learning. North American Association for Computational Linguistics. 3632-3644. Mexico City, Mexico. 16/06/2024
  11. Sikandar Ali Qalati, Domitilla Magni, and Faiza Siddiqui. Senior Management's Sustainability Commitment and Environmental Performance: Revealing the Role of Green Human Resource Management Practices.. Business Strategy and the Environment. 02/08/2024
  12. Thanh-Thien Le, Manh Nguyen, Tung Thanh Nguyen, Linh Ngo Van, Thien Huu Nguyen. Continual Relation Extraction via Sequential Multi-Task Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 18444-18452. 22/02/2024
  13. T. K. Lai, and I. L. Ngo. A new design and optimization of VD-ECF micro-pump: Advancements in electrohydraulic performance. Physics of Fluids. 29/07/2024
  14. Tung Nguyen, Tung Pham, Linh Ngo Van , Ha-Bang Ban , Khoat Than. Out-of-vocabulary handling and topic quality control strategies in streaming topic models. Neurocomputing. 128757. 19/10/2024
  15. Cuong Quoc Dang, Dung Trung Nguyen, Dat Ha Mai, Duc Van Vu, Anh Ngoc Hoang, Uyen Thu Nguyen, Thiep Van Nguyen, Tan Xuan Phan, Tung Phong Doan, and Cuong Dinh Hoang. From Synthesis to Realism: Enhancing Logistics with Computer Vision and Domain-Adversarial Training. ICIIT '24: Proceedings of the 2024 9th International Conference on Intelligent Information Technology. 327-333. Hồ Chí Minh City, VIet Nam. 23/02/2024
  16. T. K. Lai, and I. L. Ngo. An investigation on the electrohydraulic performance of novel ECF micro-pump with NACAshaped electrodes. Theoretical and Computational Fluid Dynamics. 29/02/2024
  17. Tung Tran, Khoat Than, Danilo Vargas. Robust Visual Reinforcement Learning by Prompt Tuning. ACCV 2024. Lecture Notes in Computer Science.. 387–401. Hanoi. 08/12/2024
  18. Zeb Liaqat, Gerhardt Anne Sophie, Johannesen Benjamin Alexander, Underhaug Jarl, Jordheim Monica. Ultrasonic-Assisted Water-Rich Natural Deep Eutectic Solvents for Sustainable Polyphenol Extraction from Seaweed: A Case Study on Cultivated Saccharina latissima. ACS Sustainable Chemistry and Engineering. 14921-14929. 25/09/2024
  19. Quyen Tran, Nguyen Xuan Thanh, Nguyen Hoang Anh, Nam Le Hai, Trung Le, Linh Van Ngo, Thien Huu Nguyen. Preserving Generalization of Language models in Few-shot Continual Relation Extraction. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. 13771–13784. 11/11/2024
  20. Tung Doan, Tuan Phan, Phu Nguyen, Khoat Than, Muriel Visani, Atsuhiro Takasu. Partial ordered Wasserstein distance for sequential data. Neurocomputing. 127908-127925. 19/05/2024
  21. Viet Nguyen, Giang Vu, Tung Nguyen Thanh, Toan Tran, Khoat Than. On inference stability for diffusion models. Proceedings of the AAAI Conference on Artificial Intelligence. Canada. 22/02/2024
  22. Viet Dao, Van-Cuong Pham, Quyen Tran, Thanh-Thien Le, Linh Ngo Van, Thien Huu Nguyen. Lifelong Event Detection via Optimal Transport. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. 12610–12621. 12/11/2024