Chi-Sheng (Michael) Chen 陳麒升

27 peer-reviewed (15 journal · 12 conference) · 32 first-author · 474 citations · h-index 13, i10-index 16 (Sep 2026) — 49 total incl. 22 preprints. Grouped by theme, reverse-chronological within each; entries marked arXiv preprint / Preprints / SSRN / Under review are not yet peer-reviewed. Author position is noted where I am not first author.

Clinical AI & Biosignals

  1. CS Chen, GA Brat. "Measuring Browser Webcam Gaze Honestly: A Capture-Clock Methodology and Open Reference Implementation." 4th MICCAI Workshop on Data Engineering in Medical Imaging (DEMI 2026), Spotlight (5-min talk). [arXiv] [OpenReview]
    Medical AI Computer Vision
  2. 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
  3. Z Wang, T Zhang, L Xie, X Zhang, CS Chen, X Chen, Q Wang. "Dual-diffusion with Physical Correction for EIT Image Reconstruction." IEEE Transactions on Multimedia (2026). [5th author] [DOI]
    Medical AI
  4. 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). [6th author] [DOI] [Scholar]
    Medical AI
  5. 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 64 (2), 701-714 (2026). [3rd author] [DOI] [Scholar]
    Medical AI Computer Vision
  6. CS Chen, YJ Chen, AHW Tsai. "Large cognition model: Towards pretrained EEG foundation model." arXiv preprint (2025). [arXiv] [Scholar]
    Medical AI Foundation Models
  7. 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 13 (1), e72027 (2025). [journal version of NECOMIMI] [DOI] [arXiv: NECOMIMI] [Scholar]
    Medical AI Computer Vision
  8. 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). [3rd author] [arXiv] [Scholar]
    Medical AI NLP
  9. 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). [3rd author] [DOI] [Scholar]
    Medical AI
  10. 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). [3rd author] [DOI] [Scholar]
    Clinical AI
  11. CS Chen, WS Wang. "Psycho Gundam: Electroencephalography based real-time robotic control system with deep learning." arXiv preprint (2024). [arXiv] [Scholar]
    Medical AI
  12. 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
  13. 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). [2nd author; derived from my master's thesis] [DOI] [Scholar]
    Clinical AI
  14. 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). [2nd author] [DOI] [Scholar]
    Medical AI Computer Vision

Time-Series & Representation Learning

  1. CS Chen, X Zhang, EJ Kuo, GY Chen, Q Xie, F Zhang. "FreqLens: Interpretable Frequency Attribution for Time Series Forecasting." Under review, ICLR 2027. [arXiv] [Scholar]
    Time-Series
  2. CS Chen, EJ Kuo, GY Chen, X Zhang, F Zhang. "A Unified SPD Token Transformer Framework for EEG Classification: Systematic Comparison of Geometric Embeddings." Under review, Neurocomputing (Elsevier) (2026). [arXiv] [Scholar]
    Medical AI Time-Series
  3. 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
  4. CS Chen, SYC Chen, YC Tsai. "Benchmarking Quantum and Classical Sequential Models for Urban Telecommunication Forecasting." IEEE Global Communications Conference Workshop (GLOBECOM Workshop) 2025. [DOI] [arXiv] [Scholar]
    Quantum ML Time-Series
  5. CS Chen, AHW Tsai. "Benchmarking classical and quantum models for DeFi yield prediction on Curve Finance." arXiv preprint (2025). [arXiv] [Scholar]
    Quantum ML Finance
  6. CS Chen, YJ Chen. "Optimizing supply chain networks with the power of graph neural networks." arXiv preprint (2025). [arXiv] [Scholar]
    Time-Series

Quantum & Hybrid Machine Learning

A secondary, methodological line — hybrid quantum-classical architectures for sequence modeling, spanning EEG, forecasting, and generation.

  1. CS Chen, SYC Chen. "Conditional Quantum Flow Matching for Data-Scarce Physiological Signal Augmentation." arXiv preprint (2026). [arXiv]
    Quantum ML Biosignals Generative Models
  2. CH Lin, SYC Chen, YC Hsu, KC Peng, JC Jiang, CS Chen, TY Li, NY Chen, EJ Kuo, HS Goan. "Hybrid Quantum-inspired Kolmogorov-Arnold Networks for Privacy-Aware Federated Biosignal Learning." arXiv preprint (2026). [6th author] [arXiv]
    Quantum ML Medical AI
  3. KC Peng, SYC Chen, JC Jiang, CY Liu, EJ Kuo, YY Wang, TC Huang, P Tiwari, CS Chen, CH Lin, YC Hsu, TY Li, S Al-Kuwari, S See, KC Chen, NY Chen, HS Goan. "Complementary Matrix-Gated QKAN Fast-Weight Programmers for Quantum Dynamics Forecasting." arXiv preprint (2026). [9th author] [arXiv]
    Quantum ML Time-Series
  4. CS Chen, EJ Kuo. "Do Quantum Transformers Help? A Systematic VQC Architecture Comparison on Tabular Benchmarks." arXiv preprint (2026). [arXiv] [Scholar]
    Quantum ML
  5. CS Chen, EJ Kuo. "Quantum Reinforcement Learning-Guided Diffusion Model for Image Synthesis via Hybrid Quantum-Classical Generative Model Architectures" (oral presentation). 2026 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). [DOI] [arXiv] [Scholar]
    Quantum ML Computer Vision
  6. CS Chen, AHW Tsai. "Quantum Adaptive Self-Attention for Financial Rebalancing: An Empirical Study on Automated Market Makers in Decentralized Finance" (oral presentation). 2026 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). [DOI] [arXiv] [Scholar]
    Quantum ML Finance
  7. H Liu, Z Zhang, K Zheng, Z Liang, CS Chen, C Carothers, J Hahn. "Quantum Machine Learning for Biomedical Classification Problems: A Feasibility Study on Real Quantum Hardware." Annals of Biomedical Engineering (2026). [5th author] [DOI] [Scholar]
    Quantum ML Medical AI
  8. KC Peng, SYC Chen, JC Jiang, CY Liu, EJ Kuo, YY Wang, P Tiwari, A Ceschini, CS Chen, YC Hsu, CH Lin, TY Li, A Rosato, M Panella, S See, S Al-Kuwari, KC Chen, NY Chen, HS Goan. "Gated QKAN-FWP: Scalable Quantum-inspired Sequence Learning." arXiv preprint (2026). [9th author] [arXiv] [Scholar]
    Quantum ML Time-Series
  9. CS Chen, EJ Kuo. "Quantum Adaptive Self-Attention for Quantum Transformer Models." Quantum Science and Technology 11 (3) (2026). [DOI] [Paper] [arXiv] [Scholar]
    Quantum ML
  10. CS Chen, AHW Tsai. "Quantum and Classical Machine Learning in Decentralized Finance: Comparative Evidence from Multi-Asset Backtesting of Automated Market Makers." arXiv preprint (2025). [arXiv] [Scholar]
    Quantum ML Finance
  11. 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
  12. CS Chen, SYC Chen. "Q-DPTS: Quantum Differentially Private Time Series Forecasting via Variational Quantum Circuits." IEEE Global Communications Conference Workshop (GLOBECOM Workshop) 2025. [DOI] [arXiv] [Scholar]
    Quantum ML Time-Series
  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, 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
  15. CS Chen, EJ Kuo. "Quantum-enhanced channel mixing in RWKV models for time series forecasting." arXiv preprint (2025). [arXiv] [Scholar]
    Quantum ML Time-Series
  16. 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
  17. CS Chen, EJ Kuo. "Unraveling quantum environments: Transformer-assisted learning in Lindblad dynamics." Physical Review A 112, 042227 (2025). [DOI] [Scholar]
    Quantum ML Time-Series Physics
  18. 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 98, 5 (2026). [DOI] [Scholar]
    Quantum ML Medical AI
  19. CS Chen, AHW Tsai, SC Huang. "Quantum multimodal contrastive learning framework" (oral presentation). 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). [DOI] [Scholar]
    Quantum ML
  20. 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). [also presented as a poster at QTML 2024, Melbourne — non-archival] [DOI] [Scholar]
    Quantum ML Medical AI

Computer Vision & Multimodal

  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. 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). [5th author] [SSRN] [Scholar]
    Computer Vision
  3. 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

Digital Humanities

  1. CS Chen, HY Liu. "Predicting Poets' Origins from Verse: A Computational Analysis of Regional Linguistic Fingerprints in the Complete Tang Poems." Digital Humanities 2026 (DH2026), Alliance of Digital Humanities Organizations (ADHO), Short Paper. [arXiv] [Program]
    NLP Digital Humanities
  2. HY Liu, CS Chen. "Gendered Voices in Tang Poetry: A Corpus-Based Study of Female-Authored Poems and Male-Adopted Female Perspectives." Digital Humanities 2026 (DH2026), Alliance of Digital Humanities Organizations (ADHO), Short Paper. [2nd author] [Program]
    NLP Digital Humanities
  3. 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). [2nd author]
    NLP Digital Humanities

Condensed-Matter & Astrophysics

  1. CF Kam, CS Chen, EJ Kuo. "Accretion-Driven Squeezing of Fuzzy Dark Matter Halo Cores in the Schrödinger-Newton Framework." Journal of Cosmology and Astroparticle Physics (JCAP) 07 (2026) 098. [2nd author] [Paper] [DOI] [arXiv]
    Physics Dark Matter
  2. 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). [Role: Material synthesis at MPI CPfS] [DOI] [Scholar]
    Physics
  3. 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). [Role: ReO₃ crystal synthesis at MPI CPfS] [DOI] [Scholar]
    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

Conference Abstracts & Posters

Non-archival: reviewed conference abstracts and posters that do not appear in proceedings. These are not included in the publication counts above.

  1. A Khan, S Kulkarni, SL Lai, CS Chen, X Wang, O Zohar, I Farber, G Kugener, S Volpi, S Yeung, GA Brat. "Web-Based Webcam Video Recording Enables Hand Keypoint Detection for Open Surgical Skill Assessment." CLINICCAI 2026 — Clinical Day at MICCAI 2026, Strasbourg, France. [presenting author] [Clinical Day]
    Surgical Skill Assessment Computer Vision
  2. A Idárraga, M Suufi, CS Chen, LA Nathanson, AJ Seshadri, SR Odom II, CS Parsons, CH Cook, GA Brat. "Predicting Emergent Interventions after Trauma using AI-Translated Prehospital Radio Communication." Oral presentation, American College of Surgeons (ACS) Clinical Congress 2026, Washington, DC, Sep 26–29, 2026. [3rd author] [Clinical Congress]
    Emergency Medicine Speech & ASR Trauma Triage