Trang Pham

32 papers A* 2A 1B 2Journal 22Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Improving Minimax Estimation Rates for Contaminated Mixture of Multinomial Logistic Experts via Expert Heterogeneity.
CoRR
Fanqi Yan, Dung Le, Trang Pham, Huy Nguyen, Nhat Ho
2025 J jnl
Distance-Based Tree-Sliced Wasserstein Distance.
CoRR
Hoang V. Tran, Khoi N. M. Nguyen, Trang Pham, Thanh T. Chu, Tam Le, Tan M. Nguyen
2025 J jnl
Spherical Tree-Sliced Wasserstein Distance.
CoRR
Viet-Hoang Tran, Thanh T. Chu, Khoi N. M. Nguyen, Trang Pham, Tam Le, Tan M. Nguyen
2025 J jnl
Tree-Sliced Wasserstein Distance with Nonlinear Projection.
CoRR
Thanh Tran, Viet-Hoang Tran, Thanh T. Chu, Trang Pham, Laurent El Ghaoui, Tam Le, Tan M. Nguyen
2024 — conf
A Summary of the ALQAC 2024 Competition.
KSE
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, Hiep Nguyen, Chau Nguyen, Nguyen-Khang Le, Dieu-Hien Nguyen, Binh Dang, Phuong Nguyen, Ha-Thanh Nguyen, Vu Tran, Le-Minh Nguyen
2024 A* conf
Mixture of Experts Meets Prompt-Based Continual Learning.
NeurIPS
Minh Le, An Nguyen The, Huy Nguyen, Trang Nguyen, Trang Pham, Linh Ngo Van, Nhat Ho
2024 J jnl
Mixture of Experts Meets Prompt-Based Continual Learning.
CoRR
Minh Le, An Nguyen, Huy Nguyen, Trang Nguyen, Trang Pham, Linh Van Ngo, Nhat Ho
2024 — conf
Pushing the Boundaries of Legal Information Processing with Integration of Large Language Models.
JSAI-isAI
Chau Nguyen, Thanh Tran, Khang Le, Hien Nguyen, Truong Do, Trang Pham, Son T. Luu, Trung Vo, Le-Minh Nguyen
2024 J jnl
Statistical Advantages of Perturbing Cosine Router in Sparse Mixture of Experts.
CoRR
Huy Nguyen, Pedram Akbarian, Trang Pham, Trang Nguyen, Shujian Zhang, Nhat Ho
2024 J jnl
Tree-Sliced Wasserstein Distance on a System of Lines.
CoRR
Viet-Hoang Tran, Trang Pham, Tho Tran, Tam Le, Tan M. Nguyen
2023 — conf
A Summary of the ALQAC 2023 Competition.
KSE
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
2021 J jnl
Automatic Feature Learning for Predicting Vulnerable Software Components.
IEEE Trans. Software Eng.
Hoa Khanh Dam, Truyen Tran, Trang Pham, Shien Wee Ng, John Grundy, Aditya Ghose
2021 J jnl
Automatically recommending components for issue reports using deep learning.
Empir. Softw. Eng.
Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Chaiyong Ragkhitwetsagul, Aditya Ghose
2019 J jnl
A Deep Learning Model for Estimating Story Points.
IEEE Trans. Software Eng.
Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Aditya Ghose, Tim Menzies
2019 A conf
Lessons learned from using a deep tree-based model for software defect prediction in practice.
MSR
Hoa Khanh Dam, Trang Pham, Shien Wee Ng, Truyen Tran, John C. Grundy, Aditya Ghose, Taeksu Kim, Chul-Joo Kim
2018 J jnl
A deep tree-based model for software defect prediction.
CoRR
Hoa Khanh Dam, Trang Pham, Shien Wee Ng, Truyen Tran, John Grundy, Aditya Ghose, Taeksu Kim, Chul-Joo Kim
2018 B conf
Graph Memory Networks for Molecular Activity Prediction.
ICPR
Trang Pham, Truyen Tran, Svetha Venkatesh
2018 J jnl
Graph Memory Networks for Molecular Activity Prediction.
CoRR
Trang Pham, Truyen Tran, Svetha Venkatesh
2018 — conf
Predicting components for issue reports using deep learning with information retrieval.
ICSE (Companion Volume)
Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Aditya Ghose
2018 J jnl
Relational dynamic memory networks.
CoRR
Trang Pham, Truyen Tran, Svetha Venkatesh
2017 J jnl
Automatic feature learning for vulnerability prediction.
CoRR
Hoa Khanh Dam, Truyen Tran, Trang Pham, Shien Wee Ng, John Grundy, Aditya Ghose
2017 A* conf
Column Networks for Collective Classification.
AAAI
Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2017 J jnl
Graph Classification via Deep Learning with Virtual Nodes.
CoRR
Trang Pham, Truyen Tran, Khanh Hoa Dam, Svetha Venkatesh
2017 J jnl
One Size Fits Many: Column Bundle for Multi-X Learning.
CoRR
Trang Pham, Truyen Tran, Svetha Venkatesh
2017 J jnl
Predicting healthcare trajectories from medical records: A deep learning approach.
J. Biomed. Informatics
Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2016 J jnl
A deep language model for software code.
CoRR
Hoa Khanh Dam, Truyen Tran, Trang Pham
2016 J jnl
A deep learning model for estimating story points.
CoRR
Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Aditya Ghose, Tim Menzies
2016 J jnl
Column Networks for Collective Classification.
CoRR
Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2016 — conf
DeepCare: A Deep Dynamic Memory Model for Predictive Medicine.
PAKDD (2)
Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2016 J jnl
DeepCare: A Deep Dynamic Memory Model for Predictive Medicine.
CoRR
Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2016 J jnl
Faster Training of Very Deep Networks Via p-Norm Gates.
CoRR
Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2016 B conf
Faster training of very deep networks via p-norm gates.
ICPR
Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh