Lam Tran

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 20

Top Topics

Password Guessing

Discriminant Analysis

Top Venues

Pattern Recognit.

Publications

Hoang Phan, Lam Tran, Quyen Tran, Trung Le
Enhancing Domain Adaptation through Prompt Gradient Alignment. CoRR (2024)
Anh T. Nguyen, Lam Tran, Anh Tong, Tuan-Duy H. Nguyen, Toan Tran
Conditional Support Alignment for Domain Adaptation with Label Shift. CoRR (2023)
Quyen Tran, Lam Tran, Khoat Than, Toan Tran, Dinh Q. Phung, Trung Le
KOPPA: Improving Prompt-based Continual Learning with Key-Query Orthogonal Projection and Prototype-based One-Versus-All. CoRR (2023)
Ngoc N. Tran, Lam Tran, Hoang Phan, Anh Tuan Bui, Tung Pham, Toan Tran, Dinh Q. Phung, Trung Le
Robust Contrastive Learning With Theory Guarantee. CoRR (2023)
Quyen Tran, Lam Tran, Linh Chu Hai, Ngo Van Linh, Khoat Than
From implicit to explicit feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online users. Neurocomputing 479 (2022)
Lam Tran, Thuc Nguyen, Changho Seo, Hyunil Kim, Deokjai Choi
A Survey on Password Guessing. CoRR (2022)
Hoang Phan, Lam Tran, Ngoc N. Tran, Nhat Ho, Dinh Q. Phung, Trung Le
Improving Multi-task Learning via Seeking Task-based Flat Regions. CoRR (2022)
Lam Tran, Thuc Dinh Nguyen, Hyunil Kim, Deokjai Choi
Security and privacy enhanced smartphone-based gait authentication with random representation learning and digital lockers. Pattern Recognit. 129 (2022)
Lam Tran, Thang Hoang, Thuc Dinh Nguyen, Hyunil Kim, Deokjai Choi
Multi-Model Long Short-Term Memory Network for Gait Recognition Using Window-Based Data Segment. IEEE Access 9 (2021)
Tam T. Huynh, Thuc Dinh Nguyen, Thang Hoang, Lam Tran, Deokjai Choi
A Reliability Guaranteed Solution for Data Storing and Sharing. IEEE Access 9 (2021)
Quyen Tran, Lam Tran, Linh Chu Hai, Ngo Van Linh, Khoat Than
From Implicit to Explicit feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online users. CoRR (2021)
Lam Tran, Thuc Dinh Nguyen, Hyunil Kim, Deokjai Choi
Security and Privacy Enhanced Gait Authentication with Random Representation Learning and Digital Lockers. CoRR (2021)
Thao M. Dang, Lam Tran, Thuc Dinh Nguyen, Deokjai Choi
FEHash: Full Entropy Hash for Face Template Protection. CVPR Workshops (2020)
Lam Tran, Deokjai Choi
Data Augmentation for Inertial Sensor-Based Gait Deep Neural Network. IEEE Access 8 (2020)
Birgit Penzenstadler, Jason Plojo, Marinela Sanchez, Ruben Marin, Lam Tran, Jayden Khakurel
The afordable DIY resilient smart garden kit. LIMITS (2018)
Lam Tran, Thao M. Dang, Deokjai Choi
A Binarization Method for Extracting High Entropy String in Gait Biometric Cryptosystem. SoICT (2018)
Lam Tran, Thang Hoang, Thuc Dinh Nguyen, Deokjai Choi
Improving Gait Cryptosystem Security Using Gray Code Quantization and Linear Discriminant Analysis. ISC (2017)
Lam Tran, Deguang Kong, Hongxia Jin, Ji Liu
Privacy-CNH: A Framework to Detect Photo Privacy with Convolutional Neural Network using Hierarchical Features. AAAI (2016)
Haichuan Yang, Yijun Huang, Lam Tran, Ji Liu, Shuai Huang
On Benefits of Selection Diversity via Bilevel Exclusive Sparsity. CVPR (2016)
Phoebe Tran, Lam Tran
Validating negative binomial lyme disease regression model with bootstrap resampling. Environ. Model. Softw. 82 (2016)
Nazar Khan, Lam Tran, Marshall F. Tappen
Training many-parameter shape-from-shading models using a surface database. ICCV Workshops (2009)