Chi-Sheng (Michael) Chen 陳麒升

Peer-Reviewed — First / Co-first Author / Main Contributor

Journal Articles

  1. CS Chen, GY Chen, D Zhou, D Jiang, D Chen, SH Chang. "Improving fine-grained food classification using deep residual learning and selective state space models." PLoS ONE (2025). [DOI] [arXiv] [Scholar]
    Computer Vision
  2. CS Chen, SYC Chen, HH Tseng. "Exploring the potential of QEEGNet for cross-task and cross-dataset electroencephalography encoding with quantum machine learning." Journal of Signal Processing Systems (2025). [DOI] [Scholar]
    Quantum ML Medical AI
  3. CS Chen, EJ Kuo. "Unraveling quantum environments: Transformer-assisted learning in Lindblad dynamics." Physical Review A (2025). [DOI] [Scholar]
    Quantum ML Time-Series Physics
  4. CS Chen, SH Chang, CW Liu, TM Pan. "Exploring the potential of electroencephalography signal-based image generation using diffusion models: Integrative framework combining mixed methods and multimodal analysis." JMIR Medical Informatics (2025). [DOI] [Scholar]
    Medical AI Computer Vision
  5. CT Li, CS Chen, CM Cheng, CP Chen, JP Chen, MH Chen, YM Bai, et al. "Prediction of antidepressant responses to non-invasive brain stimulation using frontal electroencephalogram signals: Cross-dataset comparisons and validation." Journal of Affective Disorders (JAD) (2023). [DOI] [Scholar]
    Clinical AI
  6. SL Lai, CS Chen, BR Lin, RF Chang. "Intraoperative detection of surgical gauze using deep convolutional neural network." Annals of Biomedical Engineering 51, 352-362 (2023). [DOI] [Scholar]
    Medical AI Computer Vision

Conference Papers

  1. CS Chen, EJ Kuo. "Quantum Reinforcement Learning-Guided Diffusion Model for Image Synthesis via Hybrid Quantum-Classical Generative Model Architectures." 2026 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). [arXiv] [Scholar]
    Quantum ML Computer Vision
  2. CS Chen, AHW Tsai. "Quantum and Classical Machine Learning in Decentralized Finance: Comparative Evidence from Multi-Asset Backtesting of Automated Market Makers." 2026 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). [arXiv] [Scholar]
    Quantum ML Finance
  3. CS Chen, AHW Tsai, SC Huang. "Quantum multimodal contrastive learning framework." 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). [DOI] [Scholar]
    Quantum ML
  4. CS Chen, X Zhang, YC Chen. "Quantum Reinforcement Learning Trading Agent for Sector Rotation in the Taiwan Stock Market." 2025 IEEE International Conference on Quantum Computing and Engineering (QCE). [arXiv] [DOI] [Scholar]
    Quantum ML Finance
  5. CS Chen, SYC Chen. "Q-DPTS: Quantum Differentially Private Time Series Forecasting via Variational Quantum Circuits." IEEE Global Communications Conference Workshop (GLOBECOM Workshop) 2025. [arXiv] [Scholar]
    Quantum ML Time-Series
  6. CS Chen, SYC Chen, YC Tsai. "Benchmarking Quantum and Classical Sequential Models for Urban Telecommunication Forecasting." IEEE Global Communications Conference Workshop (GLOBECOM Workshop) 2025. [arXiv] [Scholar]
    Quantum ML Time-Series
  7. CS Chen, SYC Chen, AHW Tsai, CS Wei. "QEEGNet: Quantum machine learning for enhanced electroencephalography encoding." 2024 IEEE International Workshop on Signal Processing Systems (SiPS). [DOI] [Scholar]
    Quantum ML Medical AI
  8. HY Liu, CS Chen. "Gendered Language in Tang Poetry: A Sociolinguistic and Digital Humanities Analysis Based on the Quan Tang Shi." 16th International Conference of Digital Archives and Digital Humanities (DADH 2025).
    NLP Digital Humanities

Peer-Reviewed — Contributing Author

Journal Articles

  1. Z Wang, T Zhang, X Zhang, R Fu, D de la Calle, CS Chen, AE Loshelder, et al. "Unsupervised Sensitivity Prior Generation With Diffusion Model for EIT Image Reconstruction." IEEE Transactions on Industrial Informatics (2026). [DOI] [Scholar]
    Medical AI
  2. SL Lai, YC Chou, CS Chen, TC Tung, BR Lin, RF Chang. "Detection and tracking of a gauze sponge in minimally invasive surgery using a YOLO and R-CNN based model." Medical & Biological Engineering & Computing (2025). [DOI] [Scholar]
    Medical AI Computer Vision
  3. SH Chang, D Chen, CS Chen, D Zhou, LK Yeh. "Device Failures and Adverse Events Associated With Rhinolaryngoscopes: Analysis of the Manufacturer and User Facility Device Experience (MAUDE) Database." JMIR Human Factors (2025). [DOI] [Scholar]
    Medical AI
  4. D Takegami, L Nicolaï, Y Utsumi, A Meléndez-Sans, DA Balatsky, CA Knight, C Dalton, SL Huang, CS Chen, L Zhao, AC Komarek, YF Liao, KD Tsuei, J Minár, LH Tjeng. "Direct imaging of valence orbitals using hard x-ray photoelectron spectroscopy." Physical Review Research 4, 033108 (2022). [DOI] [Scholar]
    Physics
  5. J Falke, CF Chang, CE Liu, D Takegami, A Melendez-Sans, CS Chen, et al. "Electronic structure of the metallic oxide ReO₃." Physical Review B 103, 115125 (2021). [DOI] [Scholar]
    Physics

Conference Papers

  1. YJ Chen, A Albarqawi, CS Chen. "Enhancing Clinical Decision-Making: Integrating Multi-Agent Systems with Ethical AI Governance." 2025 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). [DOI] [Scholar]
    Clinical AI

Preprints / Under Review

First / Co-first Author / Main Contributor

  1. CS Chen, X Zhang, GY Chen, Q Xie, F Zhang, EJ Kuo. "Few-Shot Continual Learning for 3D Brain MRI with Frozen Foundation Models." arXiv preprint (2026). [arXiv]
    Medical AI Computer Vision
  2. CS Chen, X Zhang, EJ Kuo, GY Chen, Q Xie, F Zhang. "FreqLens: Interpretable Frequency Attribution for Time Series Forecasting." arXiv preprint (2026). [arXiv] [Scholar]
    Time-Series
  3. CS Chen, EJ Kuo, GY Chen, X Zhang, F Zhang. "A Unified SPD Token Transformer Framework for EEG Classification: Systematic Comparison of Geometric Embeddings." arXiv preprint (2026). [arXiv] [Scholar]
    Medical AI Time-Series
  4. CS Chen, EJ Kuo. "Quantum adaptive self-attention for quantum transformer models." arXiv preprint (2025). [arXiv] [Scholar]
    Quantum ML
  5. CS Chen, YJ Chen, AHW Tsai. "Large cognition model: Towards pretrained EEG foundation model." arXiv preprint (2025). [arXiv] [Scholar]
    Medical AI
  6. CS Chen, WA Hou, HW Hu, ZS Cai. "Quantum Generative Models for Image Generation: Insights from MNIST and MedMNIST." arXiv preprint (2025). [arXiv] [Scholar]
    Quantum ML Medical AI
  7. CS Chen, EJ Kuo. "Quantum-enhanced channel mixing in RWKV models for time series forecasting." arXiv preprint (2025). [arXiv] [Scholar]
    Quantum ML Time-Series
  8. CS Chen, YJ Chen. "Optimizing supply chain networks with the power of graph neural networks." arXiv preprint (2025). [arXiv] [Scholar]
    Time-Series
  9. CS Chen, EJ Kuo. "Quantum-enhanced natural language generation: A multi-model framework with hybrid quantum-classical architectures." arXiv preprint (2025). [arXiv] [Scholar]
    Quantum ML NLP
  10. JTY Lu, J Chiang, CS Chen, ANY Tung, HW Hu, YC Cheng. "EEG2text-CN: An exploratory study of open-vocabulary chinese text-EEG alignment via large language model and contrastive learning on ChineseEEG." arXiv preprint (2025). [arXiv] [Scholar]
    Medical AI NLP
  11. CS Chen, AHW Tsai. "Benchmarking classical and quantum models for DeFi yield prediction on Curve Finance." arXiv preprint (2025). [arXiv] [Scholar]
    Quantum ML Finance
  12. CS Chen, AHW Tsai. "Quantum Adaptive Self-Attention for Financial Rebalancing: An Empirical Study on Automated Market Makers in Decentralized Finance." arXiv preprint (2025). [arXiv] [Scholar]
    Quantum ML Finance
  13. CS Chen. "Vision-QRWKV: Exploring Quantum-Enhanced RWKV Models for Image Classification." arXiv preprint (2025). [arXiv] [Scholar]
    Quantum ML Computer Vision
  14. CS Chen, X Zhang, R Fu, Q Xie, F Zhang. "Quantum Temporal Convolutional Neural Networks for Cross-Sectional Equity Return Prediction: A Comparative Benchmark Study." arXiv preprint (2025). [arXiv] [Scholar]
    Quantum ML Finance
  15. CS Chen, CS Wei. "Mind's eye: Image recognition by EEG via multimodal similarity-keeping contrastive learning." arXiv preprint (2024). [arXiv] [Scholar]
    Medical AI Computer Vision
  16. CS Chen. "NECOMIMI: Neural-cognitive multimodal EEG-informed image generation with diffusion models." arXiv preprint (2024). [arXiv] [Scholar]
    Medical AI Computer Vision
  17. CS Chen, WS Wang. "Psycho Gundam: Electroencephalography based real-time robotic control system with deep learning." arXiv preprint (2024). [arXiv] [Scholar]
    Medical AI
  18. CS Chen, YH Yang, GY Chen, SH Chang. "Food classification for dietary support using fine-grained visual recognition with the HERBS Network." Preprints (2024). [Preprint] [Scholar]
    Computer Vision

Contributing Author

  1. HW Hu, CM Huang, HJ Chiang, LJ Chen, CS Chen, KB Cheng. "AI-Based Performance Evaluation in Synchronized Ballroom Dance via Custom Vector Similarity and YOLOv8 Pose Estimation." SSRN (2025). [SSRN] [Scholar]
    Computer Vision
  2. CF Kam, CS Chen, EJ Kuo. "Accretion-driven squeezing of fuzzy dark matter halo cores in the Schrödinger-Newton framework." arXiv preprint (2025). [arXiv]
    Physics

Master Thesis

  1. CS Chen. "EEG Analysis for Prediction of Antidepressant Responses of Transcranial Magnetic Stimulation in Major Depressive Disorder Based on Attentional Convolution Time Series Prototypical Neural Network Model and Classical/Quantum Machine Learning Approaches (基於注意力機制之時間序列原型卷積神經網路與傳統及量子機器學習模型應用於重度憂鬱症腦波之經顱磁刺激抗憂鬱療效預測與分析)." National Taiwan University (2021). [Thesis] [NDLTD] [Scholar]
    Clinical AI Quantum ML