Trang Pham

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 26

Top Topics

Information Retrieval

Collective Classification

Top Venues

IEEE Trans. Software Eng.

Publications

Huy Nguyen, Pedram Akbarian, Trang Pham, Trang Nguyen, Shujian Zhang, Nhat Ho
Statistical Advantages of Perturbing Cosine Router in Sparse Mixture of Experts. CoRR (2024)
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)
Minh Le, An Nguyen, Huy Nguyen, Trang Nguyen, Trang Pham, Linh Van Ngo, Nhat Ho
Mixture of Experts Meets Prompt-Based Continual Learning. CoRR (2024)
Viet-Hoang Tran, Trang Pham, Tho Tran, Tam Le, Tan M. Nguyen
Tree-Sliced Wasserstein Distance on a System of Lines. CoRR (2024)
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
A Summary of the ALQAC 2023 Competition. KSE (2023)
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) (2021)
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) (2021)
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) (2019)
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)
Trang Pham, Truyen Tran, Svetha Venkatesh
Graph Memory Networks for Molecular Activity Prediction. CoRR (2018)
Trang Pham, Truyen Tran, Svetha Venkatesh
Graph Memory Networks for Molecular Activity Prediction. ICPR (2018)
Trang Pham, Truyen Tran, Svetha Venkatesh
Relational dynamic memory networks. CoRR (2018)
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 (2018)
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)
Trang Pham, Truyen Tran, Khanh Hoa Dam, Svetha Venkatesh
Graph Classification via Deep Learning with Virtual Nodes. CoRR (2017)
Trang Pham, Truyen Tran, Svetha Venkatesh
One Size Fits Many: Column Bundle for Multi-X Learning. CoRR (2017)
Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
Predicting healthcare trajectories from medical records: A deep learning approach. J. Biomed. Informatics 69 (2017)
Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
Column Networks for Collective Classification. AAAI (2017)
Hoa Khanh Dam, Truyen Tran, Trang Pham, Shien Wee Ng, John Grundy, Aditya Ghose
Automatic feature learning for vulnerability prediction. CoRR (2017)
Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
DeepCare: A Deep Dynamic Memory Model for Predictive Medicine. PAKDD (2) (2016)
Hoa Khanh Dam, Truyen Tran, Trang Pham
A deep language model for software code. CoRR (2016)
Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Aditya Ghose, Tim Menzies
A deep learning model for estimating story points. CoRR (2016)
Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
Faster training of very deep networks via p-norm gates. ICPR (2016)
Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
Faster Training of Very Deep Networks Via p-Norm Gates. CoRR (2016)
Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
Column Networks for Collective Classification. CoRR (2016)
Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
DeepCare: A Deep Dynamic Memory Model for Predictive Medicine. CoRR (2016)