Achievement

2024 - 2025

• 🥇 IEEE QTC Distinguished Technical Paper Award, IEEE QCE 2025
• 🥇 Best Technical Paper Award * 3, IEEE QCE 2025
• 🏆 Special mentions, Quandela Perceval QML Competition 2025
• 🥉Third Place Prize (out of 137 teams), The Blaise Pascal Quantum Challenge 2025
• 🏆 ICTC 2024 Best AI Paper Award (arXiv:2409.02763)
• 🏆 Foxconn Technology Award (鴻海科技獎) 2024
• 🥈Second Place Prize (_{^{Linkedin Post post}}), Deloitte’s Quantum Climate Challenge 2024
• 🥈Second Place Prize, A Matter of Taste Challenge, Xanadu QHack 2024 Open Hackathon
• 🥉Third Place Prize, The Sound of Silence Challenge, Xanadu QHack 2024 Open Hackathon
• 🥉Third Place Prize, NVIDIA & Denvr Dataworks Prizes, Xanadu QHack 2024 Open Hackathon

2016 - 2023

• 🥇First Place Prize, Ephys Hackathon on Quantum Machine Learning
• 🥇First Place Prize, QEC and Compilation Challenge, Xanadu QHack 2023 Open Hackathon
• 🥉Third Place Prize ( _{^{NVIDIA blog post, HPCwire post}} ), NVIDIA Challenge, Xanadu QHack 2023 Open Hackathon
• 🏆 NSTC Elite PhD student Scholarship - Quantum Technology (國科會菁英博士生獎學金-量子科技)
• 🏆 Oral presentation Award, Physics Society of Taiwan
• 🏆 Oral presentation Award, Physics Society of Taiwan (2020)
• 🥇 Best Bachelor Thesis Award, Physics Society of Taiwan (2019)
• 🏆 Academia Sinica Chau-Ting Chang Summer Research Scholarship (2018)
• 🏆 Student Paper Award, Annual Meeting of PSROC 2018 (2018)
• 🥇 1st at Project Competition Award, Department of Physics, National Dong Hwa University (2017)
• 🏆 College Student Research Scholarship, National Science Council (2017)
• 🥇 Outstanding Academic Award*4 (for 5% students), National Dong Hwa University (2016-2017)

Publication : Peer-reviewed Journal

• 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 Machine Intelligence 7, 80 (2025)

• Random sampling neural network for quantum many-body problems
  Chen-Yu Liu, Daw-Wei Wang
  Physical Review B 103, 205107 (2021)

• Geodesic Motion of Neutral Particle around a Kerr-Newman Black Hole
  Chen-Yu Liu, Da-Shin Lee, Chi-Yong Lin
  Classical and Quantum Gravity 34 (23), 235008 (2017)

Publication : Peer-reviewed Conference Paper

• Quantum Relational Knowledge Distillation
  Chen-Yu Liu, Kuan-Cheng Chen, Keisuke Murota, Samuel Yen-Chi Chen, Enrico Rinaldi
  NeurIPS 2025 UniReps Workshop (2025)

• A Quantum Circuit-Based Compression Perspective for Parameter-Efficient Learning
  Chen-Yu Liu, Chao-Han Huck Yang, Min-Hsiu Hsieh, Hsi-Sheng Goan
  The Thirteenth International Conference on Learning Representations (ICLR) (2025)

• Frame Generation in Hilbert Space: Generative Interpolation of Measurement Data for Quantum Parameter Adaptation
  Chen-Yu Liu, Kuan-Cheng Chen, Samuel Yen-Chi Chen, Huang wei hao, Wei-Jia Huang, Yen Jui Chang
  ICLR 2025 DeLTa Workshop (2025)

• Quantum-Enhanced Parameter-Efficient Learning for Typhoon Trajectory Forecasting
  Chen-Yu Liu, Kuan-Cheng Chen, Yi-Chien Chen, Samuel Yen-Chi Chen, Wei-Hao Huang, Wei-Jia Huang, Yen-Jui Chang
  IEEE International Conference on Quantum Computing and Engineering (QCE) (2025)

• Differentiable Quantum Architecture Search in Quantum-Enhanced Neural Network Parameter Generation
  Samuel Yen-Chi Chen, Chen-Yu Liu, Kuan-Cheng Chen, Wei-Jia Huang, Yen-Jui Chang, Wei-Hao Huang
  IEEE International Conference on Quantum Computing and Engineering (QCE) (2025)

• Distributed Quantum Neural Networks on Distributed Photonic Quantum Computing
  Kuan-Cheng Chen, Chen-Yu Liu, Yu Shang, Felix Burt, Kin K. Leung
  IEEE International Conference on Quantum Computing and Engineering (QCE) (2025)

• Programming Variational Quantum Circuits with Quantum-Train Agent
  Chen-Yu Liu, Samuel Yen-Chi Chen, Kuan-Cheng Chen, Wei-Jia Huang, Yen-Jui Chang
  International Conference on Quantum Communications, Networking, and Computing (QCNC) (2025)

• Quantum Local Search for Traveling Salesman Problem with Path-Slicing Strategy
  Chen-Yu Liu, Hiromichi Matsuyama, Wei-hao Huang, Yu Yamashiro
  International Conference on Quantum Communications, Networking, and Computing (QCNC) (2025)

• Quantum-Train with Tensor Network Mapping Model and Distributed Circuit Ansatz
  Chen-Yu Liu, Chu-Hsuan Abraham Lin, Kuan-Cheng Chen
  IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (2025)

• Quantum-Trained Convolutional Neural Network for Deepfake Audio Detection
  Chu-Hsuan Abraham Lin, Chen-Yu Liu, Samuel Yen-Chi Chen, Kuan-Cheng Chen
  IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (2025)

• CompressedMediQ: Hybrid Quantum Machine Learning Pipeline for High-Dimensional Neuroimaging Data
  Kuan-Cheng Chen, Yi-Tien Li, Tai-Yu Li, Chen-Yu Liu, Po-Heng Li, Cheng-Yu Chen
  IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (2025)

• Quantum-Train-Based Distributed Multi-Agent Reinforcement Learning
  Kuan-Cheng Chen, Samuel Yen-Chi Chen, Chen-Yu Liu, Kin K Leung
  IEEE Symposium for Multidisciplinary Computational Intelligence Incubators (SSCI) (2025)

• Federated Quantum-Train with Batched Parameter Generation
  Chen-Yu Liu, Samuel Yen-Chi Chen
  International Conference on ICT Convergence (ICTC) (2024)

• Introduction to Quantum-Train Toolkit
  Chen-Yu Liu, Chu-Hsuan Abraham Lin, Wei-Jia Huang, Min-Hsiu Hsieh
  IEEE International Conference on Quantum Computing and Engineering (QCE) (2024)

• Quantum-Train Long Short-Term Memory: Application on Flood Prediction Problem
  Chu-Hsuan Abraham Lin, Chen-Yu Liu, Kuan-Cheng Chen
  IEEE International Conference on Quantum Computing and Engineering (QCE) (2024)

• QTRL: Toward Practical Quantum Reinforcement Learning via Quantum-Train
  Chen-Yu Liu, Chu-Hsuan Abraham Lin, Chao-Han Huck Yang, Kuan-Cheng Chen, Min-Hsiu Hsieh
  IEEE International Conference on Quantum Computing and Engineering (QCE) (2024)

• Noise-Aware Distributed Quantum Approximate Optimization Algorithm on Near-term Quantum Hardware
  Kuan-Cheng Chen, Xiatian Xu, Felix Burt, Chen-Yu Liu
  IEEE International Conference on Quantum Computing and Engineering (QCE) (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
  IEEE International Conference on Quantum Computing and Engineering (QCE) (2024)

• Quantum-Enhanced Support Vector Machine for Large-Scale Stellar Classification with GPU Acceleration
  Kuan-Cheng Chen, Xiaotian Xu, Henry Makhanov, Hui-Hsuan Chung, Chen-Yu Liu
  International Conference On Intelligent Computing (ICIC) (2024) arXiv

• Quantum-HPC Framework with multi-GPU-Enabled Hybrid Quantum-Classical Workflow: Applications in Quantum Simulations
  Kuan-Cheng Chen, Xiaoren Li, Xiaotian Xu, Yun-Yuan Wang, Chen-Yu Liu
  IEEE International Conference on Quantum Communications, Networking, and Computing (QCNC) (2024)

• Learning Quantum Phase Estimation by Variational Quantum Circuits
  Chen-Yu Liu, Chu-Hsuan Abraham Lin, Kuan-Cheng Chen
  International Joint Conference on Neural Networks (IJCNN) (2024)

• Implementation of Trained Factorization Machine Recommendation System on Quantum Annealer
  Chen-Yu Liu, Hsin-Yu Wang, Pei-Yen Liao, Ching-Jui Lai, Min-Hsiu Hsieh
  International Joint Conference on Neural Networks (IJCNN) (2024)

• Reinforcement Learning Quantum Local Search
  Chen-Yu Liu, Hsi-Sheng Goan
  IEEE International Conference on Quantum Computing and Engineering (QCE) (2023)

• Practical Quantum Search by Variational Quantum Eigensolver on Noisy Intermediate-scale Quantum Hardware
  Chen-Yu Liu
  IEEE CPS, International Conference on Computational Science and Computational Intelligence (CSCI) (2023)

Manuscript (Mostly in submission)

• Hybrid Parameterized Quantum States for Variational Quantum Learning
  Chen-Yu Liu
  arXiv preprint, arXiv: 2505.16676 (2025)

• Quantum Walks-Based Adaptive Distribution Generation with Efficient CUDA-Q Acceleration
  Yen-Jui Chang, Wei-Ting Wang, Chen-Yu Liu, Yun-Yuan Wang, Ching-Ray Chang
  arXiv preprint, arXiv: 2505.13532 (2025)

• Parallel Quantum Local Search via Evolutionary Mechanism
  Chen-Yu Liu, Kuan-Cheng Chen
  arXiv preprint, arXiv: 2406.06445 (2024)

• Hybrid Gate-Based and Annealing Quantum Computing for Large-Size Ising Problems
  Chen-Yu Liu, Hsi-Sheng Goan
  arXiv preprint, arXiv: 2208.03283 (2022)

• Chaotic Motion of Charged Particles around a Weakly Magnetized Kerr-Newman Black Hole
  Chen-Yu Liu
  arXiv preprint, arXiv: 1806.09993 (2018)

Talk

2025

• On the Intersection of Quantum Computing and Modern ML: PEFT, Knowledge Distillation, and Single-Shot Inference
  QC3 Distinguished Lecture Series, Quantum Communications and Computing Centre, Memorial University, Canada.

2023

• Machine Learninig and Quantum Computation
  Chen-Yu Liu
  QRACON annual meeting, SQCS, Taipei, Taiwan (2023 Aug 26)

• On the path of using small quantum computers for solving large-size combinatorial optimization problems
  Chen-Yu Liu
  IBM Quantum Network Colloquium. (2023 Mar 29)

• On the path of using small quantum computers for practical purposes
  Chen-Yu Liu
  CQSE-NCTS seminar, National Taiwan University, Taipei, Taiwan. (2023 Mar 24)

• Hybrid Gate-Based and Annealing Quantum Computing for Large-Size Ising Problems
  Chen-Yu Liu, Hsi-Sheng Goan
  APS March Meeting, Las Vegas, Nevada, USA. (2023 Mar 9)

• Implementation of Trained Factorization Machine Recommendation System on Quantum Annealer
  Chen-Yu Liu
  Annual Meeting of the Physical Society of Taiwan, National Cheng Kung University, Tainan, Taiwan. (2023 Jan 17)

2022

• Hybrid Gate-Based and Annealing Quantum Computing for Large-Size Ising Problems
  Chen-Yu Liu
  HHQC seminar, Taiwan. (2022 Oct 14)

• Solving Large Quadratic Unconstrained Bianry Optimization Problems by Several Gate-Based Quantum Computers
  Chen-Yu Liu
  NTU-IBM Quantum System 2022 user meeting and Qiskit Hackathon Taiwan 2022, Taipei, Taiwan. (2022 Jul 19)

2020-2021

• ML Applications in Quantum Computation
  Chen-Yu Liu
  Symposium for Quantum Artificial Intelligence, National Taiwan University, Taipei, Taiwan. (2021 May 20)

• New Approach to Many-Body Ground State and Lowly Excited State Energies by Convolutional Neural Networks
  Chen-Yu Liu
  Annual Meeting of the Physical Society of Taiwan, National Pingtung University, Pingtung, Taiwan. (2020 Feb 6)

Peace