En-Jui Kuo

According to our database, En-Jui Kuo authored at least 20 papers between 2021 and 2026.

Collaborative distances:

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

2026

Quantum algorithms for Gowers norm estimation, polynomial testing, and arithmetic progression counting over finite abelian groups.

En-Jui Kuo

Quantum Inf. Process., May, 2026

Do Quantum Transformers Help? A Systematic VQC Architecture Comparison on Tabular Benchmarks.

Chi-Sheng Chen, En-Jui Kuo

CoRR, April, 2026

Few-Shot Continual Learning for 3D Brain MRI with Frozen Foundation Models.

Chi-Sheng Chen, Xinyu Zhang, Guan-Ying Chen, Qiuzhe Xie, Fan Zhang, En-Jui Kuo

CoRR, February, 2026

FreqLens: Interpretable Frequency Attribution for Time Series Forecasting.

Chi-Sheng Chen, Xinyu Zhang, En-Jui Kuo, Guan-Ying Chen, Qiuzhe Xie, Fan Zhang

CoRR, February, 2026

A Unified SPD Token Transformer Framework for EEG Classification: Systematic Comparison of Geometric Embeddings.

Chi-Sheng Chen, En-Jui Kuo, Guan-Ying Chen, Xinyu Zhang, Fan Zhang

CoRR, January, 2026

2025

Quantum-Train: rethinking hybrid quantum-classical machine learning in the model compression perspective.

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

Quantum Mach. Intell., December, 2025

QKAN-LSTM: Quantum-inspired Kolmogorov-Arnold Long Short-term Memory.

Yu-Chao Hsu, Jiun-Cheng Jiang, Chun-Hua Lin, Kuo-Chung Peng, Nan-Yow Chen, Samuel Yen-Chi Chen, En-Jui Kuo, Hsi-Sheng Goan

CoRR, December, 2025

Quantum Reinforcement Learning-Guided Diffusion Model for Image Synthesis via Hybrid Quantum-Classical Generative Model Architectures.

Chi-Sheng Chen, En-Jui Kuo

CoRR, September, 2025

Quantum-Enhanced Natural Language Generation: A Multi-Model Framework with Hybrid Quantum-Classical Architectures.

Chi-Sheng Chen, En-Jui Kuo

CoRR, August, 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

Accelerating Parameter Initialization in Quantum Chemical Simulations via LSTM-FC-VQE.

Ran-Yu Chang, Yu-Cheng Lin, Pei-Che Hsu, Tsung-Wei Huang, En-Jui Kuo

IEEE Access, 2025

Federated Quantum Kernel-Based Long Short-Term Memory for Human Activity Recognition.

Yu-Chao Hsu, Jiun-Cheng Jiang, Chun-Hua Lin, Wei-Ting Chen, Kuo-Chung Peng, Prayag Tiwari, Samuel Yen-Chi Chen, En-Jui Kuo

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