En-Jui Kuo

According to our database, En-Jui Kuo authored at least 9 papers between 2021 and 2025.

Collaborative distances:

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

2025

Unraveling Quantum Environments: Transformer-Assisted Learning in Lindblad Dynamics.

Chi-Sheng Chen, En-Jui Kuo

CoRR, May, 2025

Quantum Adaptive Self-Attention for Quantum Transformer Models.

Chi-Sheng Chen, En-Jui Kuo

CoRR, April, 2025

Computational Limits of Low-Rank Adaptation (LoRA) Fine-Tuning for Transformer Models.

Jerry Yao-Chieh Hu, Maojiang Su, En-Jui Kuo, Zhao Song, Han Liu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Computational Limits of Low-Rank Adaptation (LoRA) for Transformer-Based Models.

Jerry Yao-Chieh Hu, Maojiang Su, En-Jui Kuo, Zhao Song, Han Liu

CoRR, 2024

Oracle Separation between Noisy Quantum Polynomial Time and the Polynomial Hierarchy.

Nai-Hui Chia, Min-Hsiu Hsieh, Shih-Han Hung, En-Jui Kuo

CoRR, 2024

CoRMF: Criticality-Ordered Recurrent Mean Field Ising Solver.

Zhenyu Pan, Ammar Gilani, En-Jui Kuo, Zhuo Liu

CoRR, 2024

Training Classical Neural Networks by Quantum Machine Learning.

Chen-Yu Liu, En-Jui Kuo, Chu-Hsuan Abraham Lin, Sean Chen, Jason Gemsun Young, Yeong-Jar Chang, Min-Hsiu Hsieh

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

2023

The Computational Complexity of Quantum Determinants.

Shih-Han Hung, En-Jui Kuo

CoRR, 2023

2021

Quantum Architecture Search via Deep Reinforcement Learning.

En-Jui Kuo, Yao-Lung L. Fang, Samuel Yen-Chi Chen

CoRR, 2021