Faster training of very deep networks via p-norm gates. - Trang Pham; Truyen Tran 001; Dinh Q. Phung; Svetha Venkatesh (ICPR, 2016)

DeepCare: A Deep Dynamic Memory Model for Predictive Medicine. - Trang Pham; Truyen Tran 001; Dinh Q. Phung; Svetha Venkatesh (PAKDD (2), 2016)

A deep language model for software code. - Hoa Khanh Dam; Truyen Tran 001; Trang Pham (CoRR, 2016)

Column Networks for Collective Classification. - Trang Pham; Truyen Tran 001; Dinh Q. Phung; Svetha Venkatesh (AAAI, 2017)

One Size Fits Many: Column Bundle for Multi-X Learning. - Trang Pham; Truyen Tran 001; Svetha Venkatesh (CoRR, 2017)

Automatic feature learning for vulnerability prediction. - Hoa Khanh Dam; Truyen Tran 001; Trang Pham; Shien Wee Ng; John Grundy 001; Aditya Ghose (CoRR, 2017)

Graph Classification via Deep Learning with Virtual Nodes. - Trang Pham; Truyen Tran 001; Khanh Hoa Dam; Svetha Venkatesh (CoRR, 2017)

Predicting healthcare trajectories from medical records: A deep learning approach. - Trang Pham; Truyen Tran 001; Dinh Q. Phung; Svetha Venkatesh (J. Biomed. Informatics, 2017)

Graph Memory Networks for Molecular Activity Prediction. - Trang Pham; Truyen Tran 001; Svetha Venkatesh (ICPR, 2018)

Predicting components for issue reports using deep learning with information retrieval. - Morakot Choetkiertikul; Hoa Khanh Dam; Truyen Tran 001; Trang Pham; Aditya Ghose (ICSE (Companion Volume), 2018)

A deep tree-based model for software defect prediction. - Hoa Khanh Dam; Trang Pham; Shien Wee Ng; Truyen Tran 001; John Grundy 001; Aditya Ghose; Taeksu Kim; Chul-Joo Kim (CoRR, 2018)

Relational dynamic memory networks. - Trang Pham; Truyen Tran 001; Svetha Venkatesh (CoRR, 2018)

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 001; John C. Grundy; Aditya Ghose; Taeksu Kim; Chul-Joo Kim (MSR, 2019)

A Deep Learning Model for Estimating Story Points. - Morakot Choetkiertikul; Hoa Khanh Dam; Truyen Tran 001; Trang Pham; Aditya Ghose; Tim Menzies (IEEE Trans. Software Eng., 2019)

Automatically recommending components for issue reports using deep learning. - Morakot Choetkiertikul; Hoa Khanh Dam; Truyen Tran 001; Trang Pham; Chaiyong Ragkhitwetsagul; Aditya Ghose (Empir. Softw. Eng., 2021)

Automatic Feature Learning for Predicting Vulnerable Software Components. - Hoa Khanh Dam; Truyen Tran 001; Trang Pham; Shien Wee Ng; John Grundy 001; Aditya Ghose (IEEE Trans. Software Eng., 2021)

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; et al. (KSE, 2023)

Pushing the Boundaries of Legal Information Processing with Integration of Large Language Models. - Chau Nguyen; Thanh Tran; Khang Le; Hien Nguyen; Truong Do; Trang Pham; Son T. Luu; Trung Vo; Le-Minh Nguyen 001 (JSAI-isAI, 2024)

A Summary of the ALQAC 2024 Competition. - Dinh-Truong Do; Son T. Luu; Trang Pham; Trung Vo; Nguyen-Hoang Chu; Quang-Huy Chu; Cuong Nguyen; Minh Nguyen; An Trieu; Dat Nguyen; Thanh Tran; Cong Nguyen; et al. (KSE, 2024)

Mixture of Experts Meets Prompt-Based Continual Learning. - Minh Le; An Nguyen The; Huy Nguyen; Trang Nguyen; Trang Pham; Linh Ngo Van 001; Nhat Ho (NeurIPS, 2024)

Mixture of Experts Meets Prompt-Based Continual Learning. - Minh Le; An Nguyen; Huy Nguyen; Trang Nguyen; Trang Pham; Linh Van Ngo 001; Nhat Ho (CoRR, 2024)

Statistical Advantages of Perturbing Cosine Router in Sparse Mixture of Experts. - Huy Nguyen; Pedram Akbarian; Trang Pham; Trang Nguyen; Shujian Zhang; Nhat Ho (CoRR, 2024)

Tree-Sliced Wasserstein Distance on a System of Lines. - Viet-Hoang Tran; Trang Pham; Tho Tran; Tam Le; Tan M. Nguyen (CoRR, 2024)

Distance-Based Tree-Sliced Wasserstein Distance. - Hoang V. Tran; Khoi N. M. Nguyen; Trang Pham; Thanh T. Chu; Tam Le; Tan M. Nguyen (CoRR, 2025)

Spherical Tree-Sliced Wasserstein Distance. - Viet-Hoang Tran; Thanh T. Chu; Khoi N. M. Nguyen; Trang Pham; Tam Le; Tan M. Nguyen (CoRR, 2025)

Tree-Sliced Wasserstein Distance with Nonlinear Projection. - Thanh Tran; Viet-Hoang Tran; Thanh T. Chu; Trang Pham; Laurent El Ghaoui; Tam Le; Tan M. Nguyen (CoRR, 2025)