Lam Tran

According to our database, Lam Tran authored at least 20 papers between 2009 and 2024.

Collaborative distances:

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

2024

Enhancing Domain Adaptation through Prompt Gradient Alignment.

Hoang Phan, Lam Tran, Quyen Tran, Trung Le

CoRR, 2024

2023

KOPPA: Improving Prompt-based Continual Learning with Key-Query Orthogonal Projection and Prototype-based One-Versus-All.

Quyen Tran, Lam Tran, Khoat Than, Toan Tran, Dinh Q. Phung, Trung Le

CoRR, 2023

Robust Contrastive Learning With Theory Guarantee.

Ngoc N. Tran, Lam Tran, Hoang Phan, Anh Tuan Bui, Tung Pham, Toan Tran, Dinh Q. Phung, Trung Le

CoRR, 2023

Conditional Support Alignment for Domain Adaptation with Label Shift.

Anh T. Nguyen, Lam Tran, Anh Tong, Tuan-Duy H. Nguyen, Toan Tran

CoRR, 2023

2022

Security and privacy enhanced smartphone-based gait authentication with random representation learning and digital lockers.

Lam Tran, Thuc Dinh Nguyen, Hyunil Kim, Deokjai Choi

Pattern Recognit., 2022

From implicit to explicit feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online users.

Quyen Tran, Lam Tran, Linh Chu Hai, Ngo Van Linh, Khoat Than

Neurocomputing, 2022

A Survey on Password Guessing.

Lam Tran, Thuc Nguyen, Changho Seo, Hyunil Kim, Deokjai Choi

CoRR, 2022

Improving Multi-task Learning via Seeking Task-based Flat Regions.

Hoang Phan, Lam Tran, Ngoc N. Tran, Nhat Ho, Dinh Q. Phung, Trung Le

CoRR, 2022

2021

Security and Privacy Enhanced Gait Authentication with Random Representation Learning and Digital Lockers.

Lam Tran, Thuc Dinh Nguyen, Hyunil Kim, Deokjai Choi

CoRR, 2021

Multi-Model Long Short-Term Memory Network for Gait Recognition Using Window-Based Data Segment.

Lam Tran, Thang Hoang, Thuc Dinh Nguyen, Hyunil Kim, Deokjai Choi

IEEE Access, 2021

A Reliability Guaranteed Solution for Data Storing and Sharing.

Tam T. Huynh, Thuc Dinh Nguyen, Thang Hoang, Lam Tran, Deokjai Choi

IEEE Access, 2021

2020

Data Augmentation for Inertial Sensor-Based Gait Deep Neural Network.

Lam Tran, Deokjai Choi

IEEE Access, 2020

FEHash: Full Entropy Hash for Face Template Protection.

Thao M. Dang, Lam Tran, Thuc Dinh Nguyen, Deokjai Choi

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

A Binarization Method for Extracting High Entropy String in Gait Biometric Cryptosystem.

Lam Tran, Thao M. Dang, Deokjai Choi

Proceedings of the Ninth International Symposium on Information and Communication Technology, 2018

The afordable DIY resilient smart garden kit.

Birgit Penzenstadler, Jason Plojo, Marinela Sanchez, Ruben Marin, Lam Tran, Jayden Khakurel

Proceedings of the 2018 Workshop on Computing within Limits, 2018

2017

Improving Gait Cryptosystem Security Using Gray Code Quantization and Linear Discriminant Analysis.

Lam Tran, Thang Hoang, Thuc Dinh Nguyen, Deokjai Choi

Proceedings of the Information Security - 20th International Conference, 2017

2016

Validating negative binomial lyme disease regression model with bootstrap resampling.

Phoebe Tran, Lam Tran

Environ. Model. Softw., 2016

On Benefits of Selection Diversity via Bilevel Exclusive Sparsity.

Haichuan Yang, Yijun Huang, Lam Tran, Ji Liu, Shuai Huang

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Privacy-CNH: A Framework to Detect Photo Privacy with Convolutional Neural Network using Hierarchical Features.

Lam Tran, Deguang Kong, Hongxia Jin, Ji Liu

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2009

Training many-parameter shape-from-shading models using a surface database.

Nazar Khan, Lam Tran, Marshall F. Tappen

Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009