Publication

Here are all publications in our department (to be updated):

1. Ly-Duyen Tran, Manh-Duy Nguyen, Nguyen Thanh Binh, Hyowon Lee, Cathal Gurrin, Myscéal: a deeper analysis of an interactive lifelog search engine, Multimedia Tools and Applications (SCI, Q1) (2023)

2. Thao-Nhu Nguyen, Tu-Khiem Le, Van-Tu Ninh, Annalina Caputo, Graham Healy, Sinéad Smyth, Minh-Triet Tran, Nguyen Thanh Binh, LifeSeeker: an interactive concept-based retrieval system for lifelog data, Multimedia Tools and Applications (2023)

3. Thao V Ha, Hoang M Nguyen, Son H Thanh, Binh T Nguyen, Fall detection using mixtures of convolutional neural networks, Multimedia Tools and Applications (2023)

4. Nhat L. Vu, Thanh P. Nguyen, Binh T. Nguyen, Vu Dinh, Lam Si Tung Ho, When can we reconstruct the ancestral state? Beyond Brownian motion, Journal of Mathematical Biology (SCI, Q1) (2023)

5. Duy MH Nguyen, Hoang Nguyen, Nghiem T Diep, Tan N Pham, Tri Cao, Binh T Nguyen, Paul Swoboda, Nhat Ho, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag, Mathias Niepert, LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching, NeurIPS 2023 (2023)

6. Liting Zhou, Cathal Gurrin, Duc-Tien Dang-Nguyen, Graham Healy, Chenyang Lyu, Tianbo Ji, Longyue Wang, Joho Hideo, Ly-Duyen Tran, Naushad Alam, Overview of the NTCIR-17 Lifelog-5 Task, Proceedings of the 17th NTCIR Conference on Evaluation of Information Access Technologies. https://doi. org/10.20736/0002001329 (2023)

7. Duy Minh Ho Nguyen, Tan Ngoc Pham, Nghiem Tuong Diep, Nghi Quoc Phan, Quang Pham, Vinh Tong, Binh T Nguyen, Ngan Hoang Le, Nhat Ho, Pengtao Xie, Daniel Sonntag, Mathias Niepert, On the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation, NeurIPS 2023 (2023)

8. Thinh Tran Huu Nguyen, Phuc Nguyen, Van Phuc Nguyen, Linh HG Tran, Manh Van Le, Binh T Nguyen, Increased Query2Label (IQ) for Small Fine-grained Multi-label Classification, 2023 15th International Conference on Knowledge and Systems Engineering (KSE) (2023)

9. Bao Le, Thi Quynh Pham, Anh Thi Van Hoang, Binh T Nguyen, OphNER: Named Entity Recognition for Ophthalmology Newspapers, 2023 15th International Conference on Knowledge and Systems Engineering (KSE) (2023)

10. Thuy-An Phan-Thi, Nu T. Dinh, Son Huynh Thanh, Binh T. Nguyen, Portfolio Optimization for Long-Term Investment: An Empirical Study, 22nd International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques (SoMeT_23) (2023)

11. Vuong T. Pham, Hien D. Nguyen, Thinh Le, Binh Nguyen, Quoc Hung Ngo, Ontology-based Solution for Building an Intelligent Searching System on Traffic Law Documents, ICAART 2023: 15th International Conference on Agents and Artificial Intelligence (2023)

12. Ly-Duyen Tran, Dongyun Nie, Liting Zhou, Binh Nguyen, Cathal Gurrin, VAISL: Visual-Aware Identification of Semantic Locations in Lifelog, MultiMedia Modeling (MMM) (2023)

13. Dinh-Duy Pham, Minh-Son Dao, Thanh-Binh Nguyen, A Cross-modal Attention Model for Fine-Grained Incident Retrieval from Dashcam Videos, MultiMedia Modeling (MMM) (2023)

14. Dat Q Duong, Tuan-Anh Tran, Phuong Nhi Nguyen Kieu, Tien K Nguyen, Bao Le, Stephen Baker, Binh T Nguyen, A Deep Learning Approach to Segment High-Content Images of the E. coli Bacteria, ACIVS 2023: Advanced Concepts for Intelligent Vision Systems pp 184–195 (2023)

15. Phuc Nguyen, Linh GH Tran, Bao H Le, Thuong HT Nguyen, Thu Nguyen, Hien D Nguyen, Binh T Nguyen, Faster Imputation Using Singular Value Decomposition for Sparse Data, ACIIDS 2023: Intelligent Information and Database Systems pp 135–146 (2023)

16. Duy M. H. Nguyen, Hoang Nguyen, Mai T. N. Truong, Tri Cao, Binh T. Nguyen, Nhat Ho, Paul Swoboda, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag, Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering, AAAI 2023 (2023)

17. Manh-Duy Nguyen, Binh T Nguyen, Cathal Gurrin, HADA: A Graph-based Amalgamation Framework in Image-text Retrieval, ECIR (2023) (rank A)

18. Minh-Son Dao, Thanh-Hai Dang, Tan-Loc Nguyen-Tai, Thanh-Binh Nguyen, Duc-Tien Dang-Nguyen, Overview of MediaEval 2022 Urban Air: Urban Life and Air Pollution (2023)

19. Kha Pham, Hung Le, Man Ngo, Truyen Tran, Bao Ho, Svetha Venkatesh, Generative Pseudo-Inverse Memory, ICLR 2023 (rank A*)

20. Ly-Duyen Tran, Thanh Cong Ho, Lan Anh Pham, Binh Nguyen, Cathal Gurrin, Liting Zhou, LLQA-Lifelog Question Answering Dataset, MMM (2022) (rank B)

21. Ly-Duyen Tran, Diarmuid Kennedy, Liting Zhou, Binh Nguyen, Cathal Gurrin, A Virtual Reality Reminiscence Interface for Personal Lifelogs, MMM (2022) (rank B)

22. Duy HM Nguyen, Duy M Nguyen, Truong TN Mai, Thu Nguyen, Khanh T Tran, Anh Triet Nguyen, Bao T Pham, Binh T Nguyen, ASMCNN: An efficient brain extraction using active shape model and convolutional neural networks, Information Sciences (2022) (SCIE Q1, IF = 8.3)

23. Graham Healy, Tu-Khiem Le, Minh-Triet Tran, Thanh-Binh Nguyen, Boi Mai Quach, Cathal Gurrin, Overview of the NTCIR-16 RCIR Task (2022)

24. Kha Pham, Hung Le, Man Ngo, Truyen Tran, Functional Indirection Neural Estimator for Better Out-of-distribution Generalization, NeurIPS 2022 (rank A*).

25. Duy H.M.Nguyen, Duy M.Nguyen, Truong T.N.Mai, Thu Nguyen, Khanh T.Tran, Anh Triet Nguyen, Bao T.Pham, Binh T.Nguyen, ASMCNN: An efficient brain extraction using active shape model and convolutional neural networks; Information Sciences, 591, 25-48 (2022) (SCIE Q1, IF = 8.3)

26. Cuong V.Nguyen, Lam Si Tung Ho, Huan Xu, Vu Dinh, Binh T.Nguyen, Bayesian active learning with abstention feedbacks; Neurocomputing, 471, 242-250 (2022) (SCIE Q1,)

27. Duy M.H.Nguyen, Thu T.Nguyen, Huong Vu, Quang Pham, Manh-Duy Nguyen, Binh T.Nguyen, Daniel Sonntag, TATL: Task agnostic transfer learning for skin attributes detection; Medical Image Analysis, 78, 102359 (2022) (SCIE Q1)

28. Cuong V.Nguyen, Khiem H.Le, Anh M.Tran, Quang H.Pham, Binh T.Nguyen, Learning for amalgamation: A multi-source transfer learning framework for sentiment classification; Information Sciences, 590, 1-14 (2022) (SCIE Q1)

29. Dac Huu Nguyen, Son Thanh Huynh, Cuong Viet Dinh, Phong Tan Huynh, Binh Thanh Nguyen, PSRMTE: Paper submission recommendation using mixtures of transformer; Expert Systems with Applications, 202, 117096 (2022) (SCIE Q1)

30. Thu Nguyen, Khoi Minh Nguyen-Duy, Duy Ho Minh Nguyen, Binh T.Nguyen, Bruce Alan Wade, DPER: Direct Parameter Estimation for Randomly missing data; Knowledge-Based Systems, 240, 108082 (2022) (SCIE Q1)

31. Phat Thai, Sameer Alam, Nimrod Lilith, Binh T. Nguyen, A computer vision framework using Convolutional Neural Networks for airport-airside surveillance; Transportation Research Part C: Emerging Technologies, 137, 103590 (2022) (SCIE Q1)

32. Boi M. Quach, V. Cuong Dinh, Nhung Pham, Dang Huynh, Binh T. Nguyen, Leaf recognition using convolutional neural networks based features; Multimedia Tools and Applications (2022) (SCIE Q1)

33. Manh-Duy Nguyen, Thao-Nhu Nguyen, Binh T Nguyen, Annalina Caputo, Gurrin Cathal, DCU Team at the NTCIR-16 RCIR Task (2022)

34. Duy MH Nguyen, Hoang Nguyen, Mai TN Truong, Tri Cao, Binh T Nguyen, Nhat Ho, Paul Swoboda, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag, Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering, AAAI 2022 (rank A*)

35. Van-Tu Ninh, Manh-Duy Nguyen, Sinéad Smyth, Minh-Triet Tran, Graham Healy, Binh T Nguyen, Cathal Gurrin, An Improved Subject-Independent Stress Detection Model Applied to Consumer-grade Wearable Devices, SoMeT (2022)

36. Thao-Nhu Nguyen, Tu-Khiem Le, Van-Tu Ninh, Ly-Duyen Tran, Manh-Duy Nguyen, Minh-Triet Tran, Binh T Nguyen, Annalina Caputo, Cathal Gurrin, Graham Healy, Sinéad Smyth, DCU and HCMUS at NTCIR-16 Lifelog-4 (2022)

37. Ly-Duyen Tran, Manh-Duy Nguyen, Binh Nguyen, Hyowon Lee, Liting Zhou, Cathal Gurrin, E-Myscéal: Embedding-based Interactive Lifelog Retrieval System for LSC'22 MMM (2022)

38. Liting Zhou, Cathal Gurrin, Graham Healy, Hideo Joho, Thanh-Binh Nguyen, Rami Albatal, Frank Hopfgartner, Duc-Tien Dang-Nguyen, Overview of the NTCIR-16 Lifelog-4 Task (2022)

39. DM Nguyen, Duy M Nguyen, Huong Vu, Binh T Nguyen, Fabrizio Nunnari, Daniel Sonntag, An attention mechanism using multiple knowledge sources for COVID-19 detection from CT images (2021)

40. Thu Nguyen, Duy H.M. Nguyen, Huy Nguyen, Binh T. Nguyen, Bruce A. Wade, EPEM: Efficient Parameter Estimation for Multiple Class Monotone Missing Data; Information Science, 567, 1-22 (2021) (SCIE Q1)

41. Asem Kasem, Minh-Son Dao, Effa Nabilla Aziz, Duc-Tien Dang-Nguyen, Cathal Gurrin, Minh-Triet Tran, Thanh-Binh Nguyen, Wida Suhaili, Overview of insight for wellbeing task at Mediaeval 2021: Cross-data analytics for transboundary haze prediction (2021)

42. Manh-Phu Nguyen, Minh-Son Dao, Thanh-Binh Nguyen, 3D-STGPCN: 3D Spatio-Temporal Graph Point-wise Convolutional Network for Traffic Forecasting, 2022 IEEE International Conference on Big Data (Big Data) (2022) (rank B)

43. Thao V. Ha, Hoang Nguyen, Son T. Huynh, Trung T. Nguyen, Binh T. Nguyen, Fall Detection Using Multimodal Data; MMM 2022: The 28th International Conference on Multimedia Modeling, Phu Quoc, Vietnam (2022) (rank B)

44. Thao-Nhu Nguyen, Bunyarit Puangthamawathanakun, Graham Healy, Binh T. Nguyen, Cathal Gurrin, Annalina Caputo, Videofall - A Hierarchical Search Engine for VBS2022; MMM 2022: The 28th International Conference on Multimedia Modeling, Phu Quoc, Vietnam (2022) (rank B)

45. Ly-Duyen Tran, Diarmuid Kennedy, Liting Zhou, Binh Nguyen, Cathal Gurrin, A Virtual Reality Reminiscence Interface for Personal Lifelogs; MMM 2022: The 28th International Conference on Multimedia Modeling, Phu Quoc, Vietnam (2022)  (rank B)

46. Minh-Son Dao; Dinh-Duy Pham; Manh-Phu Nguyen; Thanh-Binh Nguyen; Koji Zettu, MM-trafficEvent: An Interactive Incident Retrieval System for First-view Travel-log Data; IEEE BigData 2021 (IEEE International Conference on Big Data); Orlando, FL, USA (2021)  (rank B)

47. Manh-Duy Nguyen, Binh T. Nguyen, Cathal Gurrin, A Deep Local and Global Scene-Graph Matching for Image-Text Retrieval; SoMeT 2021 (International Conference on Intelligent Software Methodologies, Tools, and Techniques), Cancun, Quintana Roo, Mexico (2021)

48. Dang Hieu Nguyen, Tan Loc Nguyen Tai, Nguyen Minh Tam, Thanh-Binh Nguyen, and Minh Son Dao, MNR-Air: An Economic and Dynamic Crowdsourcing Mechanism to Collect Personal Lifelog and Surrounding Environment Dataset. A Case Study in Ho Chi Minh City, Vietnam, MMM 2021, Prague, Czech Republic.

49. Manh-Duy Nguyen, Thanh Binh Nguyen, and Cathal Gurrin, Graph-based Indexing and Retrieval of Lifelog Data, MMM 2021, Prague, Czech Republic.

50. Ly-Duyen Tran, Manh-Duy Nguyen, Thao-Nhu Nguyen, Graham Healy, Binh T Nguyen, and Cathal Gurrin, A VR Interface for Browsing Visual Spaces at VBS2021, MMM 2021, Prague, Czech Republic.

51. Nguyen Huu Dac, Huynh Thanh Son, Huynh Tan Phong, Dinh Viet Cuong, Binh T. Nguyen, SFT: A new approach for paper submission recommendation, SOFSEM 2021 (Italia).

52. Huynh Thanh Son, Huynh Tan Phong, Nguyen Huu Dac, An efficient approach for paper submission recommendation, IEEE TenCon 2020, Japan (The Second-Prize of IEEE R10 Postgraduate Research Paper Contest 2020).

53. Quoc Dat Duong, Quang Le, Tan Loc Nguyen Tai, Quang Dong Bo, Dat Nguyen, Minh-Son Dao, and Binh Nguyen, Multi-source Machine Learning for AQI Estimation, IEEE Big Data 2020, USA.

54. Bình Phạm, Thành Nguyễn, Trung Nguyễn, Bình Nguyễn Solve Systems of Ordinary Differential Equations Using Deep Neural Networks, NICS 2020.

55. Thanh Nguyen, Binh Pham, Nguyen Tan Trung, Binh T. Nguyen, A deep learning approach for solving Poisson’s equations, KSE 2020.

56. Ung Quang Hieu, Dang Xuan Tien, Thai Van Phat, Binh Thanh Nguyen, Vietnamese Food Recognition Using Convolutional Neural Networks Based Features, ICCCI 2020.

57. Pham Thi Thuy, Nguyen Thao Nhu, Dang Xuan Tien, Linh Nguyen, Binh Thanh Nguyen, ATGW: A Machine Learning Framework for Automation Testing in Game Woody, SoMeT 2020.

58. Nguyen Van Cuong, Le Huy Khiem, Tran Minh Anh, Binh Thanh Nguyen, An Efficient Framework for Vietnamese Sentiment Classification, SoMeT 2020.

59. Pham Phi Nhung, Nguyen Hoai Thuong, Thinh Tran, Ha Thi Thanh Huong, Binh Thanh Nguyen, SEED: A Framework for Stress Estimation Using Emotiv Devices, SoMeT 2020.

60. Ho Si Tung Lam, Binh T. Nguyen, Vu Dinh, Duy M. Nguyen, Posterior concentration and fast convergence rates for generalized Bayesian learning, Information Sciences, Volume 538, Pages 372-383, 2020. (SCI Journal)

61. Ly Tran Duyen, Nguyen Manh Duy, Binh T. Nguyen, Hyowon Lee, Cathal Gurrin, Myscéal: An Experimental Interactive Lifelog Retrieval Systemfor LSC’20, LSC ’20, June 9, 2020, Dublin, Ireland.

62. Thuy Pham, Tien Dang, Nhu Nguyen, Thao V. Ha, Binh T. Nguyen, Early unsafety detection in autonomous vehicles, ICCCI 2020.

63. Cao Ky Hieu, Cao Ky Han, Binh Thanh Nguyen, DELAFO: An Efficient Portfolio Optimization Using Deep Neural Networks, PAKDD 2020, Singapore (Rank A in Data Mining).

64. Son Huynh, Phong Huynh, Dac Nguyen, Cuong Dinh, Binh Thanh Nguyen, S2RSCS: An Efficient Scientific Submission Recommendation System for Computer Science, IEAAEI 2020, Japan.

65. Dac Nguyen, Quy Nguyen, Binh Thanh Nguyen, DFS2P: An Efficient Deduplication Framework For SaaS Platforms, IEAAEI 2020, Japan.

66. Nhu Nguyen, Thuy Pham, Tien X. Dang, Duc-Tien Dang-Nguyen, Minh-Son Dao, Cathal Gurrin, Binh T. Nguyen, Malware Detection Using System Logs, ACM IMCR 2020, Dublin, Ireland.

67. Dac Nguyen, Quy Nguyen, Duc-Tien Dang-Nguyen, Minh-Son Dao, Cathal Gurrin, Binh Thanh Nguyen, Duplicate Identification Algorithms in SaaS Platforms, ACM IMCR 2020, Dublin, Ireland.

68. Dac Nguyen, Quy Nguyen, Duc-Tien Dang-Nguyen, Minh-Son Dao, Cathal Gurrin, Binh Thanh Nguyen, An Active Learning Framework for Duplicate Detection in SaaS Platforms, ACM IMCR 2020, Dublin, Ireland.

69. Son Huynh, Phong Huynh, Dac Nguyen, Cuong Dinh, Duc-Tien Dang-Nguyen, Minh-Son Dao, Cathal Gurrin, Binh Thanh Nguyen, A framework for Paper Submission Recommendation System, ACM IMCR 2020, Dublin, Ireland.

70. Pham Thi Thuy, Nguyen Thao Nhu, Pham Hong Quang, Cao Ky Han, Binh Thanh Nguyen, Vietnamese Punctuation Prediction Using Deep Neural Networks, SOFSEM 2020, Cyprus, January 20-24 2020.

71. Binh T. Nguyen and Duy M. Nguyen and Lam Si Tung Ho and Vu Dinh, An active learning framework for set inversion, Knowledge-Based Systems, 104917, 2019. (SCI Journal).

72. Pham Hong Quang, Binh Thanh Nguyen, Nguyen Viet Cuong, Punctuation Prediction for. Vietnamese Texts Using Conditional Random Field, SoICT 2019, Ha Long Bay, December 4-6, 2019.

73. Cao Ky Han, Binh Thanh Nguyen, Huy Nguyen, Thanh Pham, Lam Do, IPMLB: A Machine Learning Framework for Indoor Positioning Using Beacons, SoMET 2019.

74. Cao Ky Han, Ly Tran Duyen, Nguyen Manh Duy, Binh T. Nguyen, Automatically Generate Hymns Using Variational Attention Models, The 16th International Symposium on Neural Networks 2019, Moscow.

75. Nguyen Viet Cuong, Ho Si Tung Lam, Dinh Cao Duy Thien Vu, Huan Xu, Binh T. Nguyen, Bayesian pool-based active learning with abstention feedbacks, ICML 2019 Workshop on Human in the Loop Learning (HILL 2019)

76. Binh T. Nguyen, Duy M. Nguyen, Lam Si Tung Ho, Vu Dinh, OASIS: An active framework for set inversion problems, The 17th International Conference on Intelligent Software Methodologies, Tools, and Techniques, Spain, 2018. (Best Paper Award of SoMET 2018)

77. Binh T. Nguyen, Thai Van Phat, Dang Nguyen Duc Tien, Gurrin Cathal, A Deep Learning based Food Recognition System for Lifelog Images, International Conference on Pattern Recognition Applications and Methods, Portugal, 2018.

78. Hung Tuan Nguyen, Cuong Tuan Nguyen, Pham The Bao, Masaki Nakagawa, “A Database of Unconstrained Vietnamese Online Handwriting and Recognition Experiments by Recurrent Neural Networks”, Pattern Recognition, vol. 78, pp. 291 – 306, Elsevier, 2018. (SCI Journal)

79. Viet-Hang Duong, Yuan-Shan Lee, Jian-Jiun Ding, Bach-Tung Pham, Manh-Quan Bui, Pham The Bao and Jia-Ching Wang, “Projective complex matrix factorization for facial expression recognition”, EURASIP Journal on Advances in Signal Processing, Volume 18, Issues 97, 2018.

80. Vu Thanh Huy, Nguyen Manh Duy, Tran Anh Tuan, Pham The Bao, “Predicting Protein Transmembrane Regions by Using LSTM Model”, Significances of Bioengineering & Biosciences (SBB), Volume 1, Issue 2 , 2018.

81. Le Thanh Hoa, Pham Hoang Uyen, Pham The Bao, “Analyzing Vietnam’s Stock Price by Stochastic Differential Equation”, Review of Finance Journal, Issue 2, pp. 51 – 54, 03/2018.

82. Tran Anh Tuan, Kim Jin Young, Pham The Bao “3D Brain MRI Segmentation by using Bitplane and Adaptive Fast Marching”, International Journal of Imaging Systems and Technology, 2018.

83. Hoa Le, Mai Phuong, Uyen Pham, Pham The Bao, “Improvement on Monte Carlo Estimation of HPD intervals”, Communications in Statistics-Simulation and Computation journal, 2018.

84. Kim Ngan Nguyen, Nu Hoang Vi Ton, Tran Minh Khuong Vu, Pham The Bao, “Monitoring The Children’s Health Status and Forecasting Height with Nutritional Advice”, Journal of IKEEE Vol. 22, No. 3, pp. 680 – 692, 2018  (http://dx.doi.org/10.7471/ikeee.2018.22.3.680).

85. Vien Gia An, Tran Tuan Anh, Pham The Bao, “Using genetic algorithm combining adaptive neuro-fuzzy inference system and fuzzy differential equation to optimizing gene”, MOJ Proteomics Bioinform, Volume 7 Issue 1, pp. 58 – 64, 2018 (DOI: 10.15406/mojpb.2018.07.00214).

86. Hoàng Thị Kiều Trang, Huỳnh Kim Thủy Tiên, Trần Thiện Thanh, Phạm Thế Bảo, “Determining The Serial Lung’s Image Sequence of 4DCT by The Time Using Demons’s Algorithm”, 3rd Vietnam Conference on Medical Physics, Hochiminh city, Vietnam, 2018.

87. Binh T. Nguyen et al., Demo: Fusing Mobile Sensors for Paper Keyboard On-the-Go, ACM Mobisys 2017, Niagara Falls, NY, USA. (Rank A* conference)

88. Binh T. Nguyen, Nhan V. Nguyen, Nam T. Nguyen, My Huynh T. Tran, A potential approach for mobility prediction using GPS data, ICIST 2017.

89. Binh T. Nguyen, Minh H. Trinh, Tan V. Phan and Hien D. Nguyen, An efficient real-time emotion detection using a camera and facial landmarks, ICIST 2017.

90. Tran Tuan-Anh, Ly Thi Le, Ngo Viet Quoc, Pham The Bao, “Novel Methods to Optimize Gene and Statistic Test for Evaluation – An Application for Escherichia coli”, BMC Bioinformatics, 2017. (SCI Journal)

91. Viet-Hang Duong, Manh-Quan Bui, Jian-Jiun Ding, Bach-Tung Pham, Pham The Bao, Jia-Ching Wang, “Maximum Volume Constrained Graph Nonnegative Matrix Factorization for Facial Expression Recognition”, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E100–A, No.12, pp. 3081 – 3085, Dec. 2017.

92. Viet-Hang Duong, Manh-Quan Bui, Jian-Jiun Ding, Yuan-Shan Lee, Bach-Tung Pham, Pham The Bao, Jia-Ching Wang, “A New Approach of Matrix Factorization on Complex Domain for Data Representation”, IEICE Transactions on on Information and Systems, Vol. E100-D, No.12, pp. 3059 – 3063, Dec. 2017.

93. Bui Van Thinh, Tran Anh Tuan, Ngo Quoc Viet, Pham The Bao, “Content Based Video Retrieval System Using Principal Object Analysis”, Journal of Science – Special Issue Natural Sciences and Technology (Hochiminh city University of Education), Vol. 14, No. 9, pp. 24 – 33, 2017.

94. Hoa Le, Uyen Pham, Nguyen Thanh Nguyen, and Pham The Bao, “Statistical Methods of Handling Noise in Data Processing”, Annals of Biometrics & Biostatistics, Volume 4, Issue 1, 2017.

95. Viet-Hang Duong, Yuan-Shan Lee, Jian-Jiun Ding, Bach-Tung Pham, Manh-Quan Bui, Pham The Bao, and Jia-Ching Wang, “ Exemplar-Embed Complex Matrix Factorization for Facial Expression Recognition”, The 42nd International Conference on Acoustics, Speech and Signal Processing (ICASSP2017), 2017.

96. Vo Tran Trong Nghia, Tran Anh Tuan, Viet-Hang Duong, Jia-Ching Wang and Pham The Bao, “Real Time Validating the Accuracy of Physiotherapy Exercises”, IEEE International Conference on Consumer Electronics – Taiwan, 2017.

97. Truong Hoang, Viet Ngo and Bao Pham, “Face recognition based on hybrid Contourlet features with Bayesian network”, International Conference on Video and Image Processing (ICVIP 2017), 2017.

98. Le Trong Ngoc, Ho Dac Quan, Pham The Bao, Huynh Trung Hieu, “magnetic resonance imaging”, The 20th National Symposium of Selected ICT Problems, 2017.

99. Nguyen Tan Duoc, Hoang Thi Kieu Trang, Huynh Kim Thuy Tien, Tran Thien Thanh, Tran Anh Tuan, Pham The Bao, “Lung Segmentation from Thoracic Computed Tomography Image using Expectation Maximization Algorithm”, The 12th Regional Conference on Nuclear Science and Technology, Nha Trang City, Khanh Hoa, Vietnam, August 2 – 4, 2017.

100. Viet-Hang Duong, Manh-Quan Bui, Pham The Bao, and Jia-Ching Wang, “A New Constrained Nonnegative Matrix Factorization for Facial Expression Recognition”, 2017 IEEE International Conference on Orange Technologies (ICOT), 2017.

101. Duy M. H. Nguyen, Huy T. Vu, Huy Q. Ung, Binh T. Nguyen, 3D-brain segmentation using deep neural network and Gaussian mixture model, IEEE WACV 2017.  (Rank A  – Travelling Award from Nafosted)

102. Thai Van Phat, Dang Xuan Tien, Quang Pham, Nguyen Pham. Binh T. Nguyen, Vietnamese Food Recognition Using Convolutional Neural Networks, KSE 2016.

103. Tran Anh Tuan, Kim Jin Young, Chaudhry Asmatullah, Pham The Bao, Kim Hyoung Gook, “Visual Observation Confidence based GMM Face Recognition robust to Illumination Impact in a Real-world Database”, KSII Transactions on Internet and Information Systems, 2016.

104. Nguyen Thi Hong Nhung, Vu Tran Minh Khuong, Vu Quang Huy and Pham The Bao, “Classifying Prostate Cancer Patients based on tPSA and fPSA features by SVM”, Journal of Cancer Research and Therapeutics, Journal of Cancer Research and Therapeutics, Vol. 12, pp. 818 – 825, 2016.

105. Nguyen Thanh Dieu, Tran Anh Tuan, Pham The Bao, Bui Ngoc Nam, and Jin Young Kim, “A Fusion Approach Based ColorSiFT and Dense Trajectory Features for Video Event Recognition”, Journal of KIIT. Vol. 14, No. 3, pp. 81-90, 2016.

106. Tan Dat Trinh, Jin Young Kim, Pham The Bao, Seung Ho Choi, and Keeseong Cho, “Robust Speaker Verification Using Low-Rank Matrix Recovery and Weighted Sparse Representation Under Total Variability Space”, Journal of KIIT. Vol. 14, No. 3, pp. 59-69, 2016.

107. Nguyen Thanh Binh and Pham The Bao, “The System of Classified and Auto-Mark Source Code for Students’ Exams”, International Journal of Information and Education Technology, Vol. 6, No. 7, pp. 522 – 527, 2016.

108. Nguyen Ho Minh Duy, Tran Anh Tuan, Nguyen Hai Duong, Tran Anh Tuan, Nguyen Kim Dao, Atsuo Yoshitaka, Kim Jin Young, Seung Ho Choi  and Pham The Bao, “3D-Brain MRI Segmentation Based on Improved Level Set by AI Rules and Medical Knowledge Combining 3 Classes-EM and Bayesian Method”, Journal of KIIT. Vol. 14, No. 5, pp. 75-88, 2016.

109. Pham The Bao, Le Phuc Truong, Kim Jin Young, Iris Recognition by SIFT feature and Level Set, Journal of KIIT. Vol. 14, No. 6, pp. 59 – 66, 2016.

110. Le Trong Ngoc, Kieu Duc Huynh, Pham The Bao, Huynh Trung Hieu, “Liver Intensity Determination in The 3D Abdominal MR Image Using Neural Network”, Journal of Science and Technology, Vol. 54, No. 3A, pp. 98 – 105, 2016.

111. Ngoc T Le, Pham The Bao, Aytek Oto, Kenji Suzuki, Hieu Huynh, “Fully Automated MR Liver Volumetry using Watershed Segmentation Coupled with Active Contouring”, International Journal of Computer Assisted Radiology and Surgery, 2016.

112. Trong-Ngoc Le, Pham The Bao and Hieu Trung Huynh, “Liver Tumor Segmentation from MR Images Using 3D Fast Marching Algorithm and Single Hidden Layer Feedforward Neural Network”, BioMed Research International Journal, Vol. 2016.

113. Nguyen Ho Minh Duy, Tran Tuan Anh, Ngo Quoc Viet, Pham The Bao, “Identifying Species based on Relative Synonymous Codon Pair Usage combining K – means and SVM – An Application for Bacillus”, International Conference on Ubiquitous Information Management and Communication – ACM IMCOM 2016.

114. Viet-Hang Duong, Yuan-Shan Lee, Bach-Tung Pham, Pham The Bao, Jia-Chinh Wang, “NMF-Based Image Segmentation”, 2016 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW).

115. Ngoc Nam Bui, Pham The Bao, “Finger Bones Segmentation from X-Ray Images using ASM with Hand Feature Position”, International Symposium Intelligent Systems and Applications 2016 (ISA2016), 2016.

116. Duc Thanh Nguyen, Ngoc Nam Bui, Pham The Bao, “Constructing Virtual Mouse Based On Two Cameras Model”, International Symposium Intelligent Systems and Applications 2016 (ISA2016), 2016.

117. Viet-Hang Duong, Bach-Tung Pham, Yuan-Shan Lee, Pham The Bao, and Jia-Ching Wang, “Spatial dispersion constrained NMF for monaural source separation”, The 10th International Symposium on Chinese Spoken Language Processing, (ISCSLP 2016), 2016.

118. Vu Dinh, Lam Si Tung Ho, Binh T. Nguyen, Duy Duc Nguyen. Fast learning rates with heavy-tailed losses, Advances in Neural Information Processing Systems, NeurIPS 2016, Barcelona, Spain. (Rank A* in Machine Learning)

119. Vu Dinh, Lam Si Tung Ho, Nguyen Viet Cuong, Duy Duc Nguyen, Binh T. Nguyen. Learning From Non- iid Data: Fast Rates for the One-vs-All Multiclass Plug-in Classifiers, NIPS workshop on Learning Faster from Easy Data II, Montreal, Canada (December 2015).

120. Pham Hong Quang, Nguyen Thanh Binh, Nguyen Viet Cuong, Semi-supervised Learning for Vietnamese Named Entity Recognition using Online Conditional Random Fields, The Fifth Named Entities Workshop at ACL-IJCNLP 2015, Beijing, China.

121. Vu Dinh, Lam Si Tung Ho, Nguyen Viet Cuong, Duy Duc Nguyen, Binh T. Nguyen. Learning From Non- iid Data: Fast Rates for the One-vs-All Multiclass Plug-in Classifiers, Theory, and Applications of Models of Computation (TAMC 2015).

122. Tran Thi Thu Ha, Jin Young Kim, Seung Ho Choi, and Pham The Bao, “Brain White Matter Hyperintensities Segmentation of T2-FLAIR MRI Using L*a*b Color Transformation and K-Nearest Neighbor Means Classifier”, Journal of KIIT. Vol. 13, No. 3, pp. 43-51, 2015.

123. Trong-Ngoc Le, Pham The Bao and Hieu Trung Huynh, “Fully Automatic Scheme for Measuring Liver Volumes of 3D MR Images”, Journal Bio-Medical Materials and Engineering (BME), 2015.

124. Tran Tuan Anh, Pham The Bao, Vo Tri Nam, and Nguyen Duc Hoang, “A Novel Method to Predict Highly Expressed Genes Based on Radius Clustering and Relative Synonymous Codon Usage”, Journal of Computational Biology 22(12): 1086 – 1096, 2015.

125. Pham The Bao, Tran Hong Tai, Duong Viet Hang, Jia-Ching Wang, “Segmentation Liver from  3D Abdominal CT Images”, IEEE International Conference On Consumer Electronics (IEEE 2015 ICCE), 2015.

126. Tuan Hung Nguyen, Tuan Cuong Nguyen, Pham The Bao and Masaki Nakagawa, “A Vietnamese Online Handwriting Database”, The 2015 Fourth ICT International Student Project Conference (ICT-ISPC2015), 2015.

127. Viet-Hang Duong, Bach-Tung Pham, Pham The Bao and Jia-Ching Wang, “NMF-Based Image Segmentation for Video Survelliance”, the 49th Annual International Carnahan Conference on Security Technology (ICCST), 2015.

128. Tran Tuan Anh, Le Ly, Pham The Bao, “Novel Methods to Protein Mutation Prediction Based on Naïve Bayes Classifier – An Application in Influenza A Virus”, International Conference in Bioinformatics & Genomic Medicine, 2015.

129. Quang H. Pham, Binh T. Nguyen, Nguyen Viet Cuong, Punctuation Prediction for Vietnamese Texts Using Conditional Random Fields, ACML Workshop: Machine Learning and Its Applications in Vietnam, 2014.

130. B. T. Nguyen, A. Delitsyn, D. Grebenkov, On the exponential decay of Laplacian eigenfunctions in planar domains with branches, Contemporary Mathematics, 630, 337-348 (2014).

131. Hai Duong, Ung Quang Huy, Pham The Bao, and Jin Young Kim, “A Method for Selecting the Most Informative Iris Image from Real Time Video Stream”, Journal of KIIT. Vol. 12, No. 9, pp. 61-67, 2014.

132. Tan Dat Trinh, Jin Young Kim, and Pham The Bao, “Enhanced Face Recognition by Fusion of Global and Local Features under Varying Illumination”, Journal of KIIT. Vol. 12, No. 12, pp. 57-67, 2014.

133. Tran Tuan Anh, Pham The Bao, Nguyen Tuan Hung, “Identification of Bacillus species using Support Vector Machine and Codon Pair Relative Frequency”, The 8th International Conference on Ubiquitous Information Management and Communication, ACM IMCOM (ICUIMC), 2014.

134. Nguyen Tuan Hung, Nguyen Thanh Binh, Pham The Bao, and Jin Young Kim, “Gesture recognition in cooking video based on image features and motion features using Bayesian Network classifier”, Int’l Conf. IP, Comp. Vision, and Pattern Recognition, IPCV’14, pp. 282 – 288, 2014.

135. Viet Hang Duong, Wen-Chi Hsieh, Pham The Bao, and Jia-Ching Wang, “An Overview of Kernel Based Nonnegative Matrix Factorization”, 2014 IEEE International Conference on Orange Technologies (ICOT), pp. 227 – 231, 2014.

136. Ngoc Le Trong, Pham The Bao, Hieu Huynh Trung, “Liver segmentation on 3D MR images using the fast marching method and canny-edge level set”, International Symposium on Information Technology Convergence (ISITC), 2014.

137. Pham The Bao, Tran Anh Tuan, Trinh Tuan Dat, and Jin Young Kim, “Face Recognition using Global and Local Features based on Contourlet and Adaboost”, International Symposium on Information Technology Convergence (ISITC), 2014.

138. Ngoc Nam Bui, Thuong Khanh Tran, Jin Young Kim and The Bao Pham, “Human Detection And Tracking Under Complex Poses Using Poselet With Particle Filters”, 8thInternational Collaboration Symposium on Information, Production and Systems (ISIPS), 2014.

139. Vo Tri Nam, Bui Quang Huy, Tran Tuan Anh, Dang Thi Hang, Nguyen Manh Tung, Vu Quoc Hoang, Pham The Bao, Nguyen Dinh Thuc, Tran Linh Thuoc, Nguyen Duc Hoang, “Constructing Gene Optimize Program for Escherichia Coli with Scoring Function Built up from Genetic Algorithm”, 9th University of Science Conference, ISBN: 978-604-82-1375-6, 2014.

140. Trinh Tan Dat, Pham The Bao, “Face Recognition Using Gabor Feature Combining AdaBoost and k-mean”, Journal of Science, Special Issue: Natural Sciences and Technology – Hochiminh city University of Education, vol. 43(77), pp. 77 – 83, 2013.

141. D. S. Grebenkov, B. T. Nguyen, Geometrical structure of Laplacian eigenfunctions, SIAM Reviews, 55, 4, 601-667, 2013. (SCI Journal)

142. B. T. Nguyen, D. S. Grebenkov, Localization of Laplace eigenfunctions in circular, spherical and elliptical domains, SIAM J. Appl. Math., 73 (2), 780-803, 2013. (SCI Journal)

143. Pham The Bao, Nguyen Duy Nhat, Dinh Ngoc Thanh, “On the Computation of Hypergeometric Functions of Matrix Arguments”, International Conference Statistics & its Interactions with Other Disciplines, 2013.

144. B. T. Nguyen, N. D. Thuc, L. T. A. Duc, B. V. Thach, A divide-and-conquer algorithm for a symmetric tri-block-diagonal eigenproblem, Proceedings of IEEE SoutheastCon 2012, 1-6 (2012).

145. Phan Minh Khanh, Tran Giang Nam and Pham The Bao, “Automatic Spine Extraction in Posteroanterior Radiographs Based on Spine’s Features”, The 4rd International Conference on the Development of Biomedical Engineering, pp. 374 – 378, 2012.

146. Pham The Bao, Bui Ngoc Nam, “Principal Objects Detection Using Graph-Based Segmentation and Normalized Histogram”, International Journal of Computer Science Issues, IJCSI, vol. 9, issue 1, January 2012.

147. A. Delitsyn, B. T. Nguyen, D. S. Grebenkov, Trapped modes in finite quantum waveguides, European Physical Journal B 85, 6 (2012) (SCI Journal)

148. Tran Anh Tuan, Pham The Bao, Jin Yong Kim, Seungho Choi, “Detection of Cerebral Vessels Based on Non-subsampled Contourlet Transform”, Journal of Advanced Science, Engineering and Medicine, vol. 4, pp. 1– 6, 2012.

149. Tran Quang Anh, Pham Bao, Tran Thuong Khanh, Bui Ngo Da Thao, Tran Anh Tuan and Nguyen Thanh Nhut, “Video Retrieval using Histogram and Sift Combined with Graph-based Image Segmentation, ISL international Journal, 2012.

150. Pham The Bao, Tran Thi My Hue and Le Thi Khue Van, “Building the Intelligent Public Lighting Control System in Ho Chi Minh City by GFSs”, GESTS International Transactions on Computer Science and Engineering, vol. 69, no. 1, pp. 1 – 14, 2012.

151. Tran Anh Tuan, Pham The Bao, Nguyen Thanh Chuyen, Dang Duc Trong, Trinh Anh Ngoc, Dinh Nguyen Vu, “Detecting Support Structure Position Based on Sensor Signals From Heat Tubes Of Nuclear Power Plant”, International Conference on Analysis and Applied Mathematics, pp. 419 – 430, Vietnam, 2011.

152. Nguyen Duc Anh, Pham The Bao, Bui Ngoc Nam, Nguyen Huy Hoang, “A New CBIR System Using SIFT Combined with Neural Network and Graph-Based Segmentation”, The 2nd Asian Conference on Intelligent Information and Database Systems – ACIIDS 2010, Hue, Vietnam, 2010.

153. Bui Ngoc Nam, Pham The Bao, “Principal Objects Detection Using Graph-Based Segmentation And Normalized Histogram”, First International Workshop On Nonlinear Systems And Advanced Signal Processing – IWNSASP 2010, Ho Chi Minh city, Vietnam, 2010.

154. Tran Quang Anh, Tran Thuong Khanh, Ngo Da Thao, Pham The Bao, “Shot Detection Using Histogram Comparison and Image Subtraction”, First International Workshop On Nonlinear Systems And Advanced Signal Processing – IWNSASP 2010, Ho Chi Minh city, Vietnam, 2010.

155. B. T. Nguyen, D. S. Grebenkov, A Spectral Approach to Survival Probability in Porous Media, J. Stat. Phys. 141 532-554, 2010.

156. P. T. Bao, N. T. Binh, T. D. Khoa, A New Approach to Hand Tracking and Gesture Recognition by a New Feature Type and HMM, Proceeding of Fuzzy System and Knowledge Discovery 4, 3-6, Tianjin, China (2009).

157. Pham The Bao, Huynh Nguyen Duy Nhan, “A New Approach to Mouth Detection Using Neural Network”, 2009 IITA International Conference on Control, Automation News and Systems Engineering – CASE 2009, Zhangjiajie, China, 2009.

158. Pham The Bao, Nguyen Phuong Nam, and Hoang Nhat Quang, “Hiding Facial Information in Color Image”, 2008 IEEE International Conference On Networking, Sensing and Control – ICNSC08, Sanya, Hainan, China 2008.

159. Pham The Bao, “Fast Multi-Face Detection Using Facial Component Based Validation by Fuzzy Logic”, The 2006 International Conference on Image Processing, Computer Vision, and Pattern Recognition, Las Vegas, USA, 2006.

160. Pham The Bao, “Analysis Skin Color by PCA and Relations in YCbCr Color Space”, The 21st International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC 2006), Chiang Mai, Thailand, 2006.

161. Pham The Bao, Nguyen Thanh Nhut, Cao Minh Thinh, Tran Anh Tuan, Phan Phuc Doan, “Face Detection in Color Images Based on Components and Fuzzy Logic”, The IXthNational Conference, Dalat, 2006.

162. Pham The Bao, Jin Young Kim and Seung You Na, “Fast Multi-Face Detection in Color Images Using Fuzzy Logic”, the 2005 International Symposium on Intelligent Signal Processing and Communications Systems, IEEE CNF, 2005.

163. Hoang Le Minh, Pham The Bao, Nguyen Giang Son, Nguyen Hien Luong, Vo Duc Cam Hai:”Introduction and Development Direction on Grid Computing”, Conf. High Performance Computing and Grid Computing, 2004.