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Trang Pham

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2020 – today

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2024
[c8]
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  - conf/jsai/NguyenTLNDPLVN24
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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]
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  - journals/corr/abs-2405-14124
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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]
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  - journals/corr/abs-2405-14131
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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]
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  - journals/corr/abs-2406-13725
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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]
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  - conf/kse/NguyenLTTDNNPPVDLNLLBNNTN23
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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
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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)
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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

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2019
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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]
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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
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Trang Pham, Truyen Tran, Svetha Venkatesh:
Graph Memory Networks for Molecular Activity Prediction. ICPR 2018: 639-644
[c4]
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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]
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  - journals/corr/abs-1801-02622
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Trang Pham, Truyen Tran, Svetha Venkatesh:
Graph Memory Networks for Molecular Activity Prediction. CoRR abs/1801.02622 (2018)
[i10]
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  - journals/corr/abs-1802-00921
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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]
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  - journals/corr/abs-1808-04247
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Trang Pham, Truyen Tran, Svetha Venkatesh:
Relational dynamic memory networks. CoRR abs/1808.04247 (2018)
2017
[j1]
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  - journals/jbi/PhamTPV17
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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]
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Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Column Networks for Collective Classification. AAAI 2017: 2485-2491
[i8]
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Trang Pham, Truyen Tran, Svetha Venkatesh:
One Size Fits Many: Column Bundle for Multi-X Learning. CoRR abs/1702.07021 (2017)
[i7]
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  - journals/corr/abs-1708-02368
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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]
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  - journals/corr/abs-1708-04357
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Trang Pham, Truyen Tran, Khanh Hoa Dam, Svetha Venkatesh:
Graph Classification via Deep Learning with Virtual Nodes. CoRR abs/1708.04357 (2017)
2016
[c2]
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Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Faster training of very deep networks via p-norm gates. ICPR 2016: 3542-3547
[c1]
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Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
DeepCare: A Deep Dynamic Memory Model for Predictive Medicine. PAKDD (2) 2016: 30-41
[i5]
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Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
DeepCare: A Deep Dynamic Memory Model for Predictive Medicine. CoRR abs/1602.00357 (2016)
[i4]
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Hoa Khanh Dam, Truyen Tran, Trang Pham:
A deep language model for software code. CoRR abs/1608.02715 (2016)
[i3]
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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]
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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]
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Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Column Networks for Collective Classification. CoRR abs/1609.04508 (2016)

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