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2020 – today
- 2024
[c8]Chau Nguyen, Thanh Tran, Khang Le, Hien Nguyen, Truong Do, Trang Pham, Son T. Luu
, Trung Vo, Le-Minh Nguyen:
Pushing the Boundaries of Legal Information Processing with Integration of Large Language Models. JSAI-isAI 2024: 167-182- [i14]Minh Le, An Nguyen, Huy Nguyen, Trang Nguyen, Trang Pham, Linh Van Ngo, Nhat Ho:
Mixture of Experts Meets Prompt-Based Continual Learning. CoRR abs/2405.14124 (2024) - [i13]Huy Nguyen, Pedram Akbarian, Trang Pham, Trang Nguyen, Shujian Zhang, Nhat Ho:
Statistical Advantages of Perturbing Cosine Router in Sparse Mixture of Experts. CoRR abs/2405.14131 (2024) - [i12]Viet-Hoang Tran, Trang Pham, Tho Tran, Tam Le, Tan M. Nguyen:
Tree-Sliced Wasserstein Distance on a System of Lines. CoRR abs/2406.13725 (2024) - 2023
- [c7]Chau Nguyen, Son T. Luu, Thanh Tran, An Trieu, Anh Dang, Dat Nguyen, Hiep Nguyen, Tin Pham, Trang Pham, Thien-Trung Vo, Dinh-Truong Do, Nguyen-Khang Le, Dieu-Hien Nguyen, Ngoc-Cam Le, Thi-Thuy Le, Quan Bui, Phuong Nguyen, Ha-Thanh Nguyen, Vu D. Tran, Le-Minh Nguyen:
A Summary of the ALQAC 2023 Competition. KSE 2023: 1-6 - 2021
- [j4]Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Chaiyong Ragkhitwetsagul, Aditya Ghose:
Automatically recommending components for issue reports using deep learning. Empir. Softw. Eng. 26(1): 14 (2021) - [j3]Hoa Khanh Dam, Truyen Tran, Trang Pham, Shien Wee Ng, John Grundy, Aditya Ghose:
Automatic Feature Learning for Predicting Vulnerable Software Components. IEEE Trans. Software Eng. 47(1): 67-85 (2021)
2010 – 2019
- 2019
- [j2]Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Aditya Ghose, Tim Menzies:
A Deep Learning Model for Estimating Story Points. IEEE Trans. Software Eng. 45(7): 637-656 (2019) - [c6]Hoa Khanh Dam, Trang Pham, Shien Wee Ng, Truyen Tran, John C. Grundy, Aditya Ghose, Taeksu Kim, Chul-Joo Kim:
Lessons learned from using a deep tree-based model for software defect prediction in practice. MSR 2019: 46-57 - 2018
- [c5]Trang Pham, Truyen Tran, Svetha Venkatesh:
Graph Memory Networks for Molecular Activity Prediction. ICPR 2018: 639-644 - [c4]Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Aditya Ghose:
Predicting components for issue reports using deep learning with information retrieval. ICSE (Companion Volume) 2018: 244-245 - [i11]Trang Pham, Truyen Tran, Svetha Venkatesh:
Graph Memory Networks for Molecular Activity Prediction. CoRR abs/1801.02622 (2018) - [i10]Hoa Khanh Dam, Trang Pham, Shien Wee Ng, Truyen Tran, John Grundy, Aditya Ghose, Taeksu Kim, Chul-Joo Kim:
A deep tree-based model for software defect prediction. CoRR abs/1802.00921 (2018) - [i9]Trang Pham, Truyen Tran, Svetha Venkatesh:
Relational dynamic memory networks. CoRR abs/1808.04247 (2018) - 2017
- [j1]Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Predicting healthcare trajectories from medical records: A deep learning approach. J. Biomed. Informatics 69: 218-229 (2017) - [c3]Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Column Networks for Collective Classification. AAAI 2017: 2485-2491 - [i8]Trang Pham, Truyen Tran, Svetha Venkatesh:
One Size Fits Many: Column Bundle for Multi-X Learning. CoRR abs/1702.07021 (2017) - [i7]Hoa Khanh Dam, Truyen Tran, Trang Pham, Shien Wee Ng, John Grundy, Aditya Ghose:
Automatic feature learning for vulnerability prediction. CoRR abs/1708.02368 (2017) - [i6]Trang Pham, Truyen Tran, Khanh Hoa Dam, Svetha Venkatesh:
Graph Classification via Deep Learning with Virtual Nodes. CoRR abs/1708.04357 (2017) - 2016
- [c2]Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Faster training of very deep networks via p-norm gates. ICPR 2016: 3542-3547 - [c1]Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
DeepCare: A Deep Dynamic Memory Model for Predictive Medicine. PAKDD (2) 2016: 30-41 - [i5]Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
DeepCare: A Deep Dynamic Memory Model for Predictive Medicine. CoRR abs/1602.00357 (2016) - [i4]Hoa Khanh Dam, Truyen Tran, Trang Pham:
A deep language model for software code. CoRR abs/1608.02715 (2016) - [i3]Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Faster Training of Very Deep Networks Via p-Norm Gates. CoRR abs/1608.03639 (2016) - [i2]Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Aditya Ghose, Tim Menzies:
A deep learning model for estimating story points. CoRR abs/1609.00489 (2016) - [i1]Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Column Networks for Collective Classification. CoRR abs/1609.04508 (2016)
Coauthor Index
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