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Lam Tran
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2020 – today
- 2024
- [i8]Hoang Phan, Lam Tran, Quyen Tran, Trung Le:
Enhancing Domain Adaptation through Prompt Gradient Alignment. CoRR abs/2406.09353 (2024) - 2023
- [i7]Anh T. Nguyen, Lam Tran, Anh Tong, Tuan-Duy H. Nguyen, Toan Tran:
Conditional Support Alignment for Domain Adaptation with Label Shift. CoRR abs/2305.18458 (2023) - [i6]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 abs/2311.09671 (2023) - [i5]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 abs/2311.15414 (2023) - 2022
- [j6]Quyen Tran, Lam Tran, Linh Chu Hai, Ngo Van Linh
From implicit to explicit feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online users. Neurocomputing 479: 89-105 (2022) - [j5]Lam Tran
Security and privacy enhanced smartphone-based gait authentication with random representation learning and digital lockers. Pattern Recognit. 129: 108765 (2022) - [i4]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 abs/2211.13723 (2022) - [i3]Lam Tran, Thuc Nguyen, Changho Seo, Hyunil Kim, Deokjai Choi:
A Survey on Password Guessing. CoRR abs/2212.08796 (2022) - 2021
- [j4]Lam Tran
Multi-Model Long Short-Term Memory Network for Gait Recognition Using Window-Based Data Segment. IEEE Access 9: 23826-23839 (2021) - [j3]Tam T. Huynh
A Reliability Guaranteed Solution for Data Storing and Sharing. IEEE Access 9: 108318-108328 (2021) - [i2]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 abs/2107.12325 (2021) - [i1]Lam Tran, Thuc Dinh Nguyen, Hyunil Kim, Deokjai Choi:
Security and Privacy Enhanced Gait Authentication with Random Representation Learning and Digital Lockers. CoRR abs/2108.02400 (2021) - 2020
- [j2]Lam Tran
Data Augmentation for Inertial Sensor-Based Gait Deep Neural Network. IEEE Access 8: 12364-12378 (2020) - [c7]Thao M. Dang, Lam Tran, Thuc Dinh Nguyen, Deokjai Choi:
FEHash: Full Entropy Hash for Face Template Protection. CVPR Workshops 2020: 3527-3536
2010 – 2019
- 2018
- [c6]Birgit Penzenstadler, Jason Plojo, Marinela Sanchez, Ruben Marin, Lam Tran, Jayden Khakurel:
The afordable DIY resilient smart garden kit. LIMITS 2018: 4:1-4:10 - [c5]Lam Tran, Thao M. Dang, Deokjai Choi:
A Binarization Method for Extracting High Entropy String in Gait Biometric Cryptosystem. SoICT 2018: 273-280 - 2017
- [c4]Lam Tran, Thang Hoang, Thuc Dinh Nguyen, Deokjai Choi:
Improving Gait Cryptosystem Security Using Gray Code Quantization and Linear Discriminant Analysis. ISC 2017: 214-229 - 2016
- [j1]Phoebe Tran
Validating negative binomial lyme disease regression model with bootstrap resampling. Environ. Model. Softw. 82: 121-127 (2016) - [c3]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: 1317-1323 - [c2]Haichuan Yang, Yijun Huang, Lam Tran, Ji Liu, Shuai Huang:
On Benefits of Selection Diversity via Bilevel Exclusive Sparsity. CVPR 2016: 5945-5954
2000 – 2009
- 2009
- [c1]Nazar Khan, Lam Tran, Marshall F. Tappen:
Training many-parameter shape-from-shading models using a surface database. ICCV Workshops 2009: 1433-1440
Coauthor Index
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