Training many-parameter shape-from-shading models using a surface database. - Nazar Khan; Lam Tran; Marshall F. Tappen (ICCV Workshops, 2009)

Privacy-CNH: A Framework to Detect Photo Privacy with Convolutional Neural Network using Hierarchical Features. - Lam Tran; Deguang Kong; Hongxia Jin; Ji Liu 002 (AAAI, 2016)

On Benefits of Selection Diversity via Bilevel Exclusive Sparsity. - Haichuan Yang; Yijun Huang; Lam Tran; Ji Liu 002; Shuai Huang 001 (CVPR, 2016)

Validating negative binomial lyme disease regression model with bootstrap resampling. - Phoebe Tran; Lam Tran (Environ. Model. Softw., 2016)

Improving Gait Cryptosystem Security Using Gray Code Quantization and Linear Discriminant Analysis. - Lam Tran; Thang Hoang; Thuc Dinh Nguyen; Deokjai Choi 001 (ISC, 2017)

The afordable DIY resilient smart garden kit. - Birgit Penzenstadler; Jason Plojo; Marinela Sanchez; Ruben Marin; Lam Tran; Jayden Khakurel (LIMITS, 2018)

A Binarization Method for Extracting High Entropy String in Gait Biometric Cryptosystem. - Lam Tran; Thao M. Dang; Deokjai Choi 001 (SoICT, 2018)

FEHash: Full Entropy Hash for Face Template Protection. - Thao M. Dang; Lam Tran; Thuc Dinh Nguyen; Deokjai Choi 001 (CVPR Workshops, 2020)

Data Augmentation for Inertial Sensor-Based Gait Deep Neural Network. - Lam Tran; Deokjai Choi 001 (IEEE Access, 2020)

A Reliability Guaranteed Solution for Data Storing and Sharing. - Tam T. Huynh; Thuc Dinh Nguyen; Thang Hoang; Lam Tran; Deokjai Choi 001 (IEEE Access, 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 001 (IEEE Access, 2021)

Security and Privacy Enhanced Gait Authentication with Random Representation Learning and Digital Lockers. - Lam Tran; Thuc Dinh Nguyen; Hyunil Kim; Deokjai Choi 001 (CoRR, 2021)

Improving Multi-task Learning via Seeking Task-based Flat Regions. - Hoang Phan; Lam Tran; Ngoc N. Tran; Nhat Ho; Dinh Q. Phung; Trung Le 001 (CoRR, 2022)

A Survey on Password Guessing. - Lam Tran; Thuc Nguyen; Changho Seo; Hyunil Kim; Deokjai Choi 001 (CoRR, 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 001; Khoat Than (Neurocomputing, 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 001 (Pattern Recognit., 2022)

Conditional Support Alignment for Domain Adaptation with Label Shift. - Anh T. Nguyen; Lam Tran; Anh Tong; Tuan-Duy H. Nguyen; Toan Tran (CoRR, 2023)

Robust Contrastive Learning With Theory Guarantee. - Ngoc N. Tran; Lam Tran; Hoang Phan; Anh Tuan Bui; Tung Pham 001; Toan Tran 003; Dinh Q. Phung; Trung Le 001 (CoRR, 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 003; Dinh Q. Phung; Trung Le 001 (CoRR, 2023)

Enhancing Domain Adaptation through Prompt Gradient Alignment. - Hoang Phan; Lam Tran; Quyen Tran; Trung Le 001 (CoRR, 2024)

A Fast Solution to the Lasso Problem with Equality Constraints. - Lam Tran; Gen Li; Lan Luo; Hui Jiang (J. Comput. Graph. Stat., 2024)

CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift. - Anh T. Nguyen; Lam Tran; Anh Tong; Tuan-Duy H. Nguyen; Toan Tran (AAAI, 2025)

Privacy-preserving speaker verification system using Ranking-of-Element hashing. - Hong-Hanh Nguyen-Le; Lam Tran; Dinh Song An Nguyen; Nhien-An Le-Khac; Thuc Nguyen (Pattern Recognit., 2025)