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Quang Nhat Tran
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2020 – today
- 2023
- [j8]Quang Nhat Tran
, Shih-Hsuan Yang
Attention-Based Inter-Prediction for Versatile Video Coding. IEEE Access 11: 84313-84322 (2023) - [c6]Quang Nhat Tran
Generative Adversarial Network-Based Frame Interpolation with Multi-Perspective Discrimination. APSIPA ASC 2023: 800-805 - [i5]Thanh Nguyen Ngoc, Quang Nhat Tran, Arthur Tang, Bao Nguyen, Thuy Nguyen, Thanh Pham:
AI-assisted Learning for Electronic Engineering Courses in High Education. CoRR abs/2311.01048 (2023) - [i4]Thanh Nguyen Ngoc, Quang Nhat Tran, Arthur Tang, Bao Nguyen, Thuy Nguyen, Thanh Pham:
Multi-dimensional data refining strategy for effective fine-tuning LLMs. CoRR abs/2311.01049 (2023) - 2022
- [j7]Nam Nhat Tran, Hemanshu Roy Pota
Designing false data injection attacks penetrating AC-based bad data detection system and FDI dataset generation. Concurr. Comput. Pract. Exp. 34(7) (2022) - [j6]Quang Nhat Tran
Video frame interpolation via down-up scale generative adversarial networks. Comput. Vis. Image Underst. 220: 103434 (2022) - [j5]Quang Nhat Tran, Benjamin P. Turnbull
A Privacy-Preserving Biometric Authentication System With Binary Classification in a Zero Knowledge Proof Protocol. IEEE Open J. Comput. Soc. 3: 1-10 (2022) - 2021
- [j4]Nam Nhat Tran
Designing Constraint-Based False Data-Injection Attacks Against the Unbalanced Distribution Smart Grids. IEEE Internet Things J. 8(11): 9422-9435 (2021) - [j3]Quang Nhat Tran, Benjamin P. Turnbull
A Survey on Privacy-Preserving Blockchain Systems (PPBS) and a Novel PPBS-Based Framework for Smart Agriculture. IEEE Open J. Comput. Soc. 2: 72-84 (2021) - [j2]Quang Nhat Tran, Benjamin P. Turnbull
Biometrics and Privacy-Preservation: How Do They Evolve? IEEE Open J. Comput. Soc. 2: 179-191 (2021) - [j1]Quang Nhat Tran, Jiankun Hu
A Multi-Filter Fingerprint Matching Framework for Cancelable Template Design. IEEE Trans. Inf. Forensics Secur. 16: 2926-2940 (2021) - [i3]Sharada P. Mohanty, Jyotish Poonganam, Adrien Gaidon, Andrey Kolobov, Blake Wulfe, Dipam Chakraborty, Grazvydas Semetulskis, João Schapke, Jonas Kubilius, Jurgis Pasukonis, Linas Klimas, Matthew J. Hausknecht, Patrick MacAlpine, Quang Nhat Tran, Thomas Tumiel, Xiaocheng Tang, Xinwei Chen, Christopher Hesse, Jacob Hilton, William Hebgen Guss, Sahika Genc, John Schulman, Karl Cobbe:
Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark. CoRR abs/2103.15332 (2021) - 2020
- [c5]Kobi Gal, Ta Duy Nguyen, Quang Nhat Tran, Yair Zick:
Threshold Task Games: Theory, Platform and Experiments. AAMAS 2020: 393-401 - [c4]Somayeh Keshavarz, Quang Nhat Tran, Richard Souvenir:
Learning Natural Thresholds for Image Ranking. ICPR 2020: 8368-8375 - [c3]Sharada P. Mohanty, Jyotish Poonganam, Adrien Gaidon, Andrey Kolobov, Blake Wulfe, Dipam Chakraborty, Grazvydas Semetulskis, João Schapke, Jonas Kubilius, Jurgis Pasukonis, Linas Klimas, Matthew J. Hausknecht, Patrick MacAlpine, Quang Nhat Tran, Thomas Tumiel, Xiaocheng Tang, Xinwei Chen, Christopher Hesse, Jacob Hilton, William Hebgen Guss, Sahika Genc, John Schulman, Karl Cobbe:
Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark. NeurIPS (Competition and Demos) 2020: 361-395 - [i2]Nam Nhat Tran, Hemanshu Roy Pota, Quang Nhat Tran, Xuefei Yin
Designing False Data Injection attacks penetrating AC-based Bad Data Detection System and FDI Dataset generation. CoRR abs/2003.05071 (2020) - [i1]Nam Nhat Tran, Hemanshu Roy Pota, Quang Nhat Tran, Jiankun Hu:
Designing constraint-based False Data Injection attacks for unbalanced distribution smart grids. CoRR abs/2003.05088 (2020)
2010 – 2019
- 2018
- [c2]Quang Nhat Tran, Jiankun Hu
Alignment-Free Cancellable Template with Clustered-Minutiae Local Structure. GLOBECOM 2018: 1-6 - 2017
- [c1]Yen Hong Tran, Quang Nhat Tran:
Estimating Public Opinion in Social Media Content Using Aspect-Based Opinion Mining. MONAMI 2017: 101-115
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