Công bố khoa học

Một số công trình trong những năm gần đây:

Năm 2024:
1. Thong DViet, Li X-H, Dung VTien, Huyen PThi Huong, Tam HThi Thanh. Novel inertial extragradient method for solving pseudomonotone variational inequality problems. 2024. Available at: https://www.tandfonline.com/doi/abs/10.1080/02331934.2024.2385645.
2. Pham T, Senger S, Tait M, THU VUTHIHUONG. Geometric structures in pseudo-random graphs. 2024. Available at: https://arxiv.org/pdf/2208.04399.
3. LUND BEN, Pham T, THU VUTHIHUONG. Radial projection theorems in finite spaces. Trong: Proceedings of the American Mathematical Society. Proceedings of the American Mathematical Society.; 2024. Available at: https://arxiv.org/pdf/2205.07431.
4. Thong DViet, Dung VTien, Huyen PThi Huong, Tam HThi Thanh. On Approximating Solutions to Non-monotone Variational Inequality Problems: An Approach Through the Modified Projection and Contraction Method. 2024. Available at: https://link.springer.com/article/10.1007/s11067-024-09638-y.
5. Pham T, Xue B. New–type Quasirandom Groups and Applications. 2024. Available at: https://arxiv.org/pdf/2308.01504.
6. Iosevich A, Pham M-Q, Pham T, Shen C-Y. Pinned simplices and connections to product of sets on paraboloids. 2024. Available at: https://arxiv.org/pdf/2208.09841.
7. Nguyen T-M-H, Ngo T-Q, Do T-H, Hoang T-A. ViHealthNLI: A Dataset for Vietnamese Natural Language Inference in Healthcare. Trong: Proceedings of the 3rd Annual Meeting of the Special Interest Group on Under-resourced Languages@ LREC-COLING 2024. Proceedings of the 3rd Annual Meeting of the Special Interest Group on Under-resourced Languages@ LREC-COLING 2024.; 2024. Available at: https://aclanthology.org/2024.sigul-1.48/.
8. KOH DOOWON, Pham T. A spherical extension theorem and applications in positive characteristic. 2024. Available at: https://arxiv.org/pdf/2008.08279.
9. Thong DViet, Li X-H, Dung VTien, Van Thang H, Van Long L. A modified subgradient extragradient method with non-monotonic step sizes for solving quasimonotone variational inequalities. 2024. Available at: https://link.springer.com/article/10.1007/s40314-024-02699-2.
10. Ngo T-Q, Nguyen TAnh Phuong, Ha M-L, Nguyen T-M-H, Le-Hong P. Improving Multi-Label Classification of Similar Languages by Semantics-Aware Word Embeddings. Trong: Proceedings of the Eleventh Workshop on NLP for Similar Languages, Varieties, and Dialects (VarDial 2024). Proceedings of the Eleventh Workshop on NLP for Similar Languages, Varieties, and Dialects (VarDial 2024).; 2024. Available at: https://aclanthology.org/2024.vardial-1.21.pdf.
11. Do T-H, To TTai, Nguyen TKien, Le DAnh Duy. The U-ReACH Model for Ship Detection over Satellite Imagery. Trong: 2024 International Conference on Multimedia Analysis and Pattern Recognition (MAPR). 2024 International Conference on Multimedia Analysis and Pattern Recognition (MAPR).; 2024. Available at: https://ieeexplore.ieee.org/abstract/document/10661071.
12. Ngo T-Q, Nguyen TAnh Phuong, Ha M-L, Nguyen T-M-H, Le-Hong P. Improving Multi-Label Classification of Similar Languages by Semantics-Aware Word Embeddings. Trong: Proceedings of the Eleventh Workshop on NLP for Similar Languages, Varieties, and Dialects (VarDial 2024). Proceedings of the Eleventh Workshop on NLP for Similar Languages, Varieties, and Dialects (VarDial 2024).; 2024. Available at: https://aclanthology.org/2024.vardial-1.21.pdf.
13. Nguyen DAnh, Do T-H. Deep Learning for Table Detection: A Comparative Study on Efficiency with Increased Data. Trong: International Workshop on ADVANCEs in ICT Infrastructures and Services. International Workshop on ADVANCEs in ICT Infrastructures and Services.; 2024. Available at: https://hal.science/hal-04723957/document.
14. Pham T, Senger S, Tait M, THU VUTHIHUONG. Geometric structures in pseudo-random graphs. 2024. Available at: https://arxiv.org/pdf/2208.04399.

Năm 2023:
1. Thong DViet, Dung VTien, Anh PKy, Van Thang H. A single projection algorithm with double inertial extrapolation steps for solving pseudomonotone variational inequalities in Hilbert space. 2023. Available at: https://www.sciencedirect.com/science/article/abs/pii/S0377042723000432.
2. Mohammadi A, Pham T, Warren A. A Point-Conic Incidence Bound and Applications. 2023. Available at: https://arxiv.org/pdf/2111.04072.
3. Mohammadi A, Pham T, Wang Y. An energy decomposition theorem for matrices and related questions. 2023. Available at: https://arxiv.org/pdf/2106.07328.
4. Dang A, Ha M-L, Vu D-Q. Multi-scale Aggregation Network for Speech Emotion Recognition.; 2023. Available at: https://link.springer.com/chapter/10.1007/978-981-97-0669-3_6.
5. Kim JHan, LUND BEN, Pham T, Yoo S. Threshold functions for incidence properties in finite vector spaces. 2023. Available at: https://arxiv.org/pdf/2203.12801.
6. Le-Hong P, Ngo T-Q, Nguyen T-M-H. Two Neural Models for Multilingual Grammatical Error Detection. Proceedings of the 12th Workshop on NLP for Computer Assisted Language Learning, Tórshavn, Faroe Islands, 2023. 2023. Available at: https://aclanthology.org/2023.nlp4call-1.5/.
7. Thong DViet, Li X, Dong Q-L, Dung VTien, Lan NPhuong. Strong and linear convergence of projection-type method with an inertial term for finding minimum-norm solutions of pseudomonotone variational inequalities in Hilbert spaces. 2023. Available at: https://link.springer.com/article/10.1007/s11075-022-01386-9.
8. Kim JHan, LUND BEN, Pham T, Yoo S. Threshold functions for incidence properties in finite vector spaces. 2023. Available at: https://arxiv.org/pdf/2203.12801.9. Thong DViet, Anh PKy, Dung VTien, Linh DThi My. A novel method for finding minimum-norm solutions to pseudomonotone variational inequalities. 2023. Available at: https://link.springer.com/article/10.1007/s11067-022-09569-6.

Năm 2022:
1. Le H, Do T-H. Automated Classification of Lung Injury from X-ray Images using Deep Learning Network. Trong: 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).; 2022. Available at: https://ieeexplore.ieee.org/abstract/document/9979927.
2. Do T-H, Le H, Ha T-H. COVID-Net Network and Application on Support Diagnosis COVID-19 over X-ray Images. Trong: 2022 International Conference on Multimedia Analysis and Pattern Recognition (MAPR). 2022 International Conference on Multimedia Analysis and Pattern Recognition (MAPR).; 2022. Available at: https://ieeexplore.ieee.org/abstract/document/9924841.
3. Ha M-L, Nguyen T-M-H, Dung DXuan. VLSP 2021-NER Challenge: Named Entity Recognition for Vietnamese. 2022. Available at: https://jcsce.vnu.edu.vn/index.php/jcsce/article/view/362.
4. Jindal I, Rademaker A, Ulewicz M, và c.s. Universal proposition bank 2.0. Trong: Proceedings of the Thirteenth Language Resources and Evaluation Conference. Proceedings of the Thirteenth Language Resources and Evaluation Conference.; 2022. Available at: https://aclanthology.org/2022.lrec-1.181/.
5. Murphy B, Petridis G, Pham T, Rudnev M, Stevens S. On the pinned distances problem in positive characteristic. 2022. Available at: https://arxiv.org/abs/2003.00510.
6. Do T-H, Khanh HNguyen. Supporting thyroid cancer diagnosis based on cell classification over microscopic images. Trong: 2022 International Conference on Multimedia Analysis and Pattern Recognition (MAPR). 2022 International Conference on Multimedia Analysis and Pattern Recognition (MAPR).; 2022. Available at: https://ieeexplore.ieee.org/abstract/document/9924821.

Năm 2020:
1. Ha M-L, Nguyen T-M-H, Luong VXuan, lương NThị, Huê PThị. Vlsp 2020 shared task: Universal dependency parsing for vietnamese. Trong: Proceedings of the 7th International Workshop on Vietnamese Language and Speech Processing. Proceedings of the 7th International Workshop on Vietnamese Language and Speech Processing.; 2020. Available at: https://aclanthology.org/2020.vlsp-1.15.pdf.
2. Tien HNguyen, Do T-H. Generating Vietnamese Language Caption Automatically for Scene Images. Trong: 2020 International Conference on Multimedia Analysis and Pattern Recognition (MAPR). 2020 International Conference on Multimedia Analysis and Pattern Recognition (MAPR).; 2020. Available at: https://ieeexplore.ieee.org/abstract/document/9237773.
3. Ha M-L, Nguyen T-M-H, Luong VXuan, lương NThị, Huê PThị. Vlsp 2020 shared task: Universal dependency parsing for vietnamese. Trong: Proceedings of the 7th International Workshop on Vietnamese Language and Speech Processing. Proceedings of the 7th International Workshop on Vietnamese Language and Speech Processing.; 2020. Available at: https://aclanthology.org/2020.vlsp-1.15.pdf.
4. Nguyen K-N, Do T-H. Extracting Handwritten Regions In Japanese Document Images. Trong: 2020 International Conference on Multimedia Analysis and Pattern Recognition (MAPR). 2020 International Conference on Multimedia Analysis and Pattern Recognition (MAPR).; 2020. Available at: https://ieeexplore.ieee.org/abstract/document/9237784.
5. Tien HNguyen, Do T-H, Nguyen V-A. Image Captioning in Vietnamese Language Based on Deep Learning Network. Trong: Advances in Computational Collective Intelligence: 12th International Conference, ICCCI 2020. Advances in Computational Collective Intelligence: 12th International Conference, ICCCI 2020.; 2020. Available at: https://link.springer.com/chapter/10.1007/978-3-030-63119-2_64.
6. Minh NHieu, Moldovyan DNikolaevic, Moldovyan NAndreevich, và c.s. Post-quantum Commutative Deniable Encryption Algorithm.; 2020. Available at: https://link.springer.com/chapter/10.1007/978-981-15-2780-7_104.

Năm 2019:
1. Do T-H, Nguyen T-M-H, Santosh KC. Text Extraction Using Sparse Representation over Learning Dictionaries. Trong: Recent Trends in Image Processing and Pattern Recognition: Second International Conference, RTIP2R 2018, Solapur, India, December 21–22, 2018, Revised Selected Papers, Part III 2. Recent Trends in Image Processing and Pattern Recognition: Second International Conference, RTIP2R 2018, Solapur, India, December 21–22, 2018, Revised Selected Papers, Part III 2.; 2019. Available at: https://link.springer.com/chapter/10.1007/978-981-13-9187-3_1.
2. Tien HNguyen, Ngo T-Q, Nguyen T-M-H, Ha M-L. Rule based English-Vietnamese bilingual terminology extraction from Vietnamese documents.; 2019. Available at: https://dl.acm.org/doi/abs/10.1145/3368926.3369664.
3. Ha M-L, Nguyen T-M-H. A case study on meaning representation for Vietnamese. Trong: Proceedings of the First International Workshop on Designing Meaning Representations. Proceedings of the First International Workshop on Designing Meaning Representations.; 2019. Available at: https://aclanthology.org/W19-3317/.

Năm 2018:
1. Do T-H, Tabbone S, Ramos-Terrades O. DSD: document sparse-based denoising algorithm. Pattern Analysis and Applications . 2018.

Năm 2017:
1. Do T-H, Nguyen NT, Nguyen TD, Le NT. A New Approach for Traffic-Sign Recognition using Sparse Representation over Dictionary of Local Descriptors. Trong: The 9th International Conference on Knowledge and Systems Engineering . The 9th International Conference on Knowledge and Systems Engineering . Da Nang, VietNam: IEEE; 2017.

Năm 2016:
1. Nguyen T-L, Ha M-L, Le-Hong P, Nguyen T-M-H. Using Distributed Word Representations in Graph-Based Dependency Parsing for Vietnamese. The 9th National
 Conference on Fundamental and Applied Information Technology (FAIR'9). 2016.
2. An LThị Hoà, Minh LHoài, Nguyen TBich Thuy, Thủy TMinh. Ứng dụng của tối ưu DC trong bài toán phân đoạn ảnh. Trong: Proceedings of the 4th conference on Mathematical Analysis and Applications. Proceedings of the 4th conference on Mathematical Analysis and Applications.; 2016.
3. Nguyen TBich Thuy, Thủy TMinh. Một cách tiếp cận tối ưu cho bài toán phân cụm. Trong: Hội thảo Quốc gia một số vấn đề chọn lọc của công nghệ thông tin và truyền thông @ lần thứ 19. Hội thảo Quốc gia một số vấn đề chọn lọc của công nghệ thông tin và truyền thông @ lần thứ 19.; 2016.
4. Do T-H, Tabbone S, Ramos-Terrades O. Sparse Representation over Learned Dictionary for Symbol Recognition. Signal Processing. 2016;125:36-47. doi:doi:10.1016/j.sigpro.2015.12.020.
5. Do T-H, Tabbone S, Terrades O-R. Spotting Symbol over Graphical Documents via Sparsity in Visual Vocabulary. Trong: Recent Trends in Image Processing and Pattern Recognition (Part of CCIS book series, Vol 709, page 59-70). Recent Trends in Image Processing and Pattern Recognition (Part of CCIS book series, Vol 709, page 59-70). Springer ; 2016. doi:10.1007/978-981-10-4859-3.
6. Nguyen T-L, Ha M-L, Le-Hong P, Nguyen T-M-H. Using Distributed Word Representations in Graph-Based Dependency Parsing for Vietnamese. The 9th National Conference on Fundamental and Applied Information Technology (FAIR'9). 2016:804-810.

Năm 2015:
1. Trung NĐức, Vinh NHải. Hệ mật mã ElGamal biến thể trên đường cong Elliptic với chuỗi cơ số kép tối ưu. 2015.
2. Vo XThanh, Le Thi HAn, Nguyen TBich Thuy. DC Programming and DCA for Dictionary Learning.; 2015.
3. Nguyen TBich Thuy, An LThị Hoà, Minh LHoài, Thanh VXuan. DC approximation approach for ℓ0-minimization in compressed sensing. 2015.
4. Le-Hong P, Roussanaly A, Nguyen T-M-H. A syntactic component for Vietnamese language processing. Journal of Language Modelling. 2015;3(1):145-184.
5. Le-Hong P, Nguyen T-M-H, Nguyen T-L, Ha M-L. Fast Dependency Parsing using Distributed Word Representations. Trong: PAKDD Workshops. PAKDD Workshops. Springer International Publishing; 2015.

Năm 2014:
1. Le-Hong P, Nguyen T-M-H. Part-of-speech induction for Vietnamese. Knowledge and Systems Engineering. 2014;245:261-272. Available at: http://link.springer.com/chapter/10.1007%2F978-3-319-02821-7_24.
2. Do T-H, Tabbone S, Ramos-Terrades O. Spotting Symbol using Sparsity over Learned Dictionary of Local Descriptors. Trong: 11th International Workshop on Document Analysis Systems. 11th International Workshop on Document Analysis Systems. Tours, France: IEEE; 2014. doi:10.1109/DAS.2014.62.

Năm 2013:
1. Anh PKy, Dung VTien. Parallel iteratively regularized {G}auss-{N}ewton method for systems of nonlinear ill-posed equations. Int. J. Comput. Math. 2013;90:2452–2461. doi:10.1080/00207160.2013.782399.
2. Nguyen T-L, Nguyen V-H, Nguyen T-M-H, Le-Hong P. Building a treebank for Vietnamese dependency parsing. Trong: Computing and Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), 2013 IEEE RIVF International Conference on. Computing and Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), 2013 IEEE RIVF International Conference on. IEEE; 2013.
3. Do T-H, Tabbone S, Ramos-Terrades O. Document Noise Removal using Sparse Representation over Learned Dictionary . Trong: Proceedings of the 2013 ACM symposium on Document engineering. Proceedings of the 2013 ACM symposium on Document engineering. Florence, Italy: ACM New York, NY, USA; 2013. doi:10.1145/2494266.2494281.
4. Do T-H, Tabbone S, Ramos-Terrades O. New Approach for Symbol Recognition Combining Shape Context of Interest Points with Sparse Representation. Trong: 12th International conference on Document Analysis and Recognition. 12th International conference on Document Analysis and Recognition. Washington DC: IEEE; 2013. doi:10.1109/ICDAR.2013.60.

Năm 2012:
1. Do T-H, Tabbone S, Ramos-Terrades O. Noise suppression over bi-level graphical documents using a sparse representation. Trong: Colloque International Francophone sur l’E ́crit et le Document - CIFED . Colloque International Francophone sur l’E ́crit et le Document - CIFED . Bordeaux, France; 2012.
2. Do T-H, Tabbone S, Ramos-Terrades O. Text/graphic separation using a sparse representation with multi-learned dictionaries. Trong: 21st International conference on pattern recognition . 21st International conference on pattern recognition . Tsukuba, Japan : IEEE; 2012. Available at: https://ieeexplore.ieee.org/document/6460228/.
3. D. GYu., Vinh NHải. Design of Experiment as a Problem of the Placement of Objects. 2012.
4. Le-Hong P, Nguyen T-M-H, Roussanaly A. Vietnamese parsing with an automatically extracted tree-adjoining grammar. Proceedings of the IEEE RIVF. 2012:91-96.

Năm 2011:
1. D. GYu., Vinh NHải. Influence of Observations Rough Errors on the Experimental Design Quality in  Measurements Correlation Case. 2011.D. GYu., Vinh NHải. Box-Lucas’s Curve and Capacity Criterion of D-optimal Plans in the nonlinear regression case. 2011.
2. D. GYu., Vinh NHải. Optimal Design of Observations in Case of Correlated Errors as Means of Navigation Reliability Improvement. Trong: Proceedings of the X International FAMET’2011 Conference, Krosnayarsk KSTEI, SFU. Proceedings of the X International FAMET’2011 Conference, Krosnayarsk KSTEI, SFU.; 2011.
3. D. GYu., Vinh NHải. On Differentiation of Implicit Functions for Constructing an Optimal Experimental Design. 2011.
4. Phan T-H, Nguyen T-M-H, Le-Hong P. Lexicographic study in the Sketch Engine. Journal of Computer Science and Cybernetics. 2011;27(3):206-218.

Năm 2010:
1. D. GYu., Vinh NHải. About One Regression Problem of the Distance-Measuring Navigation. Trong: Modeling and Analysis of Safety and Risk in Complex Systems / Proceedings of the Ninth International Scientific School MA SR. Modeling and Analysis of Safety and Risk in Complex Systems / Proceedings of the Ninth International Scientific School MA SR.; 2010.

Năm 2009:
1. Thanh HChi, Do T-H, et al. Parallelization of the combinational algorithms by the segmental method for solutions. Trong: The national conference on Information technology. The national conference on Information technology. Dong Nai, Vietnam; 2009.

Năm 2007:
1. Thanh HChi, Do T-H. Convertibility graph and some steps into concurrency on place/transition net. Trong: Fundamental and applied information technology . Fundamental and applied information technology . Nha Trang, Vietnam; 2007.

Năm 2006:
1. Le V-T, Jiang X, Ngo SHong, Horiguchi S, Inoguchi Y. A Novel Dynamic Survivable Routing in WDM Optical Networks with/without Sparse Wavelength Conversion. Optical Switching and Networking. 2006;3(3-4):173–190.

  • Website cựu sinh viên