Trang Pham

According to our database, Trang Pham authored at least 17 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A Summary of the ALQAC 2023 Competition.

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 Tran, Le-Minh Nguyen

Proceedings of the 15th International Conference on Knowledge and Systems Engineering, 2023

2021

Automatic Feature Learning for Predicting Vulnerable Software Components.

Hoa Khanh Dam, Truyen Tran, Trang Pham, Shien Wee Ng, John Grundy, Aditya Ghose

IEEE Trans. Software Eng., 2021

Automatically recommending components for issue reports using deep learning.

Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Chaiyong Ragkhitwetsagul, Aditya Ghose

Empir. Softw. Eng., 2021

2019

A Deep Learning Model for Estimating Story Points.

Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Aditya Ghose, Tim Menzies

IEEE Trans. Software Eng., 2019

Lessons learned from using a deep tree-based model for software defect prediction in practice.

Hoa Khanh Dam, Trang Pham, Shien Wee Ng, Truyen Tran, John C. Grundy, Aditya Ghose, Taeksu Kim, Chul-Joo Kim

Proceedings of the 16th International Conference on Mining Software Repositories, 2019

2018

Relational dynamic memory networks.

Trang Pham, Truyen Tran, Svetha Venkatesh

CoRR, 2018

A deep tree-based model for software defect prediction.

Hoa Khanh Dam, Trang Pham, Shien Wee Ng, Truyen Tran, John Grundy, Aditya Ghose, Taeksu Kim, Chul-Joo Kim

CoRR, 2018

Predicting components for issue reports using deep learning with information retrieval.

Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Aditya Ghose

Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

Graph Memory Networks for Molecular Activity Prediction.

Trang Pham, Truyen Tran, Svetha Venkatesh

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Predicting healthcare trajectories from medical records: A deep learning approach.

Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh

J. Biomed. Informatics, 2017

Graph Classification via Deep Learning with Virtual Nodes.

Trang Pham, Truyen Tran, Khanh Hoa Dam, Svetha Venkatesh

CoRR, 2017

Automatic feature learning for vulnerability prediction.

Hoa Khanh Dam, Truyen Tran, Trang Pham, Shien Wee Ng, John Grundy, Aditya Ghose

CoRR, 2017

One Size Fits Many: Column Bundle for Multi-X Learning.

Trang Pham, Truyen Tran, Svetha Venkatesh

CoRR, 2017

Column Networks for Collective Classification.

Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

A deep language model for software code.

Hoa Khanh Dam, Truyen Tran, Trang Pham

CoRR, 2016

DeepCare: A Deep Dynamic Memory Model for Predictive Medicine.

Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Faster training of very deep networks via p-norm gates.

Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh

Proceedings of the 23rd International Conference on Pattern Recognition, 2016