Publications

2026

1. ICML

   From Token to Token Pair: Efficient Prompt Compression for Large Language Models in Clinical Prediction

   Mingcheng Zhu,Zhiyao Luo,Yu Liu, andTingting Zhu

   In International Conference on Machine Learning, 2026

   Paper Code Bib

   @inproceedings{zhu2026tokenpair,
     title = {From Token to Token Pair: Efficient Prompt Compression for Large Language Models in Clinical Prediction},
     author = {Zhu, Mingcheng and Luo, Zhiyao and Liu, Yu and Zhu, Tingting},
     booktitle = {International Conference on Machine Learning},
     year = {2026},
   }

2. npj DM

   Attention-Guided Fair AI Modeling for Skin Cancer Diagnosis

   Mingcheng Zhu,Mingxuan Liu,Han Yuan,Yilin Ning,Zhiyao Luo,Tingting Zhu, andNan Liu

   npj Digital Medicine, 2026

   arXiv Bib

   @article{zhu2026fairskin,
     title = {Attention-Guided Fair AI Modeling for Skin Cancer Diagnosis},
     author = {Zhu, Mingcheng and Liu, Mingxuan and Yuan, Han and Ning, Yilin and Luo, Zhiyao and Zhu, Tingting and Liu, Nan},
     journal = {npj Digital Medicine},
     year = {2026},
   }

3. npj DM

   Bridging Data Gaps of Rare Conditions in ICU: A Multi-Disease Adaptation Approach for Clinical Prediction

   Mingcheng Zhu,Yu Liu,Zhiyao Luo, andTingting Zhu

   npj Digital Medicine, 2026

   Paper Code Bib

   @article{zhu2026raredisease,
     title = {Bridging Data Gaps of Rare Conditions in ICU: A Multi-Disease Adaptation Approach for Clinical Prediction},
     author = {Zhu, Mingcheng and Liu, Yu and Luo, Zhiyao and Zhu, Tingting},
     journal = {npj Digital Medicine},
     volume = {9},
     pages = {7},
     year = {2026},
   }

4. ICASSP

   Cross-Representation Benchmarking in Time-Series Electronic Health Records for Clinical Outcome Prediction

   Tianyi Chen,Mingcheng Zhu,Zhiyao Luo, andTingting Zhu

   In IEEE International Conference on Acoustics, Speech, and Signal Processing, 2026

   MSc student supervision

   Paper Bib

   @inproceedings{chen2026crossrepresentation,
     title = {Cross-Representation Benchmarking in Time-Series Electronic Health Records for Clinical Outcome Prediction},
     author = {Chen, Tianyi and Zhu, Mingcheng and Luo, Zhiyao and Zhu, Tingting},
     booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing},
     pages = {7076--7080},
     year = {2026},
     note = {MSc student supervision},
   }

5. Under Review

   Towards Generation-Efficient Uncertainty Estimation in Large Language Models

   Mingcheng Zhu,Yu Liu, andTingting Zhu

   2026

   Under review

   arXiv Code Bib

   @misc{zhu2026uncertainty,
     title = {Towards Generation-Efficient Uncertainty Estimation in Large Language Models},
     author = {Zhu, Mingcheng and Liu, Yu and Zhu, Tingting},
     year = {2026},
     note = {Under review},
   }

6. Under Review

   The Taxonomies, Training, and Applications of Event Stream Modelling for Electronic Health Records

   Mingcheng Zhu,Yu Liu,Zhiyao Luo, andTingting Zhu

   2026

   Under review

   arXiv Bib

   @misc{zhu2026ehrtaxonomy,
     title = {The Taxonomies, Training, and Applications of Event Stream Modelling for Electronic Health Records},
     author = {Zhu, Mingcheng and Liu, Yu and Luo, Zhiyao and Zhu, Tingting},
     year = {2026},
     note = {Under review},
   }

2025

1. Health Data Sci.

   Bridging Data Gaps in Healthcare: A Scoping Review of Transfer Learning in Structured Data Analysis

   Siqi Li,Xin Li,Kunyu Yu,Qiming Wu,Di Miao,Mingcheng Zhu,Mengying Yan,Yuhe Ke,Danny D’Agostino,Yilin Ning,Ziwen Wang,Yuqing Shang,Molei Liu,Chuan Hong, andNan Liu

   Health Data Science, 2025

   Paper Bib

   @article{li2025bridging,
     title = {Bridging Data Gaps in Healthcare: A Scoping Review of Transfer Learning in Structured Data Analysis},
     author = {Li, Siqi and Li, Xin and Yu, Kunyu and Wu, Qiming and Miao, Di and Zhu, Mingcheng and Yan, Mengying and Ke, Yuhe and D'Agostino, Danny and Ning, Yilin and Wang, Ziwen and Shang, Yuqing and Liu, Molei and Hong, Chuan and Liu, Nan},
     journal = {Health Data Science},
     volume = {5},
     pages = {0321},
     year = {2025},
   }

2. Health Care Sci.

   Rethinking Domain-Specific Pretraining by Supervised or Self-Supervised Learning for Chest Radiograph Classification: A Comparative Study Against ImageNet Counterparts in Cold-Start Active Learning

   Han Yuan,Mingcheng Zhu,Rui Yang,Han Liu,Irene Li, andChuan Hong

   Health Care Science, 2025

   Paper Bib

   @article{yuan2025rethinking,
     title = {Rethinking Domain-Specific Pretraining by Supervised or Self-Supervised Learning for Chest Radiograph Classification: A Comparative Study Against ImageNet Counterparts in Cold-Start Active Learning},
     author = {Yuan, Han and Zhu, Mingcheng and Yang, Rui and Liu, Han and Li, Irene and Hong, Chuan},
     journal = {Health Care Science},
     volume = {4},
     number = {2},
     pages = {110--143},
     year = {2025},
   }

3. KDD Workshop

   MedTPE: Compressing Long EHR Sequence for LLM-based Clinical Prediction with Token-Pair Encoding

   Mingcheng Zhu and others

   In 11th Mining and Learning from Time Series Workshop at KDD, 2025

   arXiv Code Bib

   @inproceedings{zhu2025medtpe,
     title = {MedTPE: Compressing Long EHR Sequence for LLM-based Clinical Prediction with Token-Pair Encoding},
     author = {Zhu, Mingcheng and others},
     booktitle = {11th Mining and Learning from Time Series Workshop at KDD},
     year = {2025},
   }

4. AAAI Workshop

   SegX: Improving Interpretability of Clinical Image Diagnosis with Segmentation-based Enhancement

   Y. Zhang,Mingcheng Zhu, and others

   In AAAI Bridge Program on AI for Medicine and Healthcare, 2025

   Co-first author

   Paper Code Bib

   @inproceedings{zhang2025segx,
     title = {SegX: Improving Interpretability of Clinical Image Diagnosis with Segmentation-based Enhancement},
     author = {Zhang, Y. and Zhu, Mingcheng and others},
     booktitle = {AAAI Bridge Program on AI for Medicine and Healthcare},
     year = {2025},
     note = {Co-first author},
   }

5. Software

   Multi-agent System for Video Understanding and Text/Audio Narration

   Mingcheng Zhu and others

   2025

   Software copyright 2025SR2040475

   Code Bib

   @misc{zhu2025videosystem,
     title = {Multi-agent System for Video Understanding and Text/Audio Narration},
     author = {Zhu, Mingcheng and others},
     year = {2025},
     note = {Software copyright 2025SR2040475},
   }

2024

1. JPC Lett.

   Removing 65 Years of Approximation in Rotating Ring Disk Electrode Theory with Physics-Informed Neural Networks

   Haotian Chen,Bedrich Smetana,Vlastimil Novak,Yuanmin Zhang,Stanislav V. Sokolov,Enno Katelhon,Zhiyao Luo,Mingcheng Zhu, andRichard G. Compton

   The Journal of Physical Chemistry Letters, 2024

   Paper Bib

   @article{chen2024removing,
     title = {Removing 65 Years of Approximation in Rotating Ring Disk Electrode Theory with Physics-Informed Neural Networks},
     author = {Chen, Haotian and Smetana, Bedrich and Novak, Vlastimil and Zhang, Yuanmin and Sokolov, Stanislav V. and Katelhon, Enno and Luo, Zhiyao and Zhu, Mingcheng and Compton, Richard G.},
     journal = {The Journal of Physical Chemistry Letters},
     volume = {15},
     number = {24},
     pages = {6315--6324},
     year = {2024},
   }

2. IET IP

   Against Linkage: A Novel Generative Face Anonymization Framework with Style Diversification

   Mingcheng Zhu and others

   IET Image Processing, 2024

   Paper Code Bib

   @article{zhu2024againstlinkage,
     title = {Against Linkage: A Novel Generative Face Anonymization Framework with Style Diversification},
     author = {Zhu, Mingcheng and others},
     journal = {IET Image Processing},
     volume = {18},
     number = {13},
     pages = {4114--4126},
     year = {2024},
   }

3. Benchmark

   DTR-Bench: An In Silico Environment and Benchmark Platform for Reinforcement Learning-based Dynamic Treatment Regimes

   Zhiyao Luo,Mingcheng Zhu,Fenglin Liu,Jiali Li,Yangchen Pan,Jiandong Zhou, andTingting Zhu

   2024

   arXiv Bib

   @misc{luo2024dtrbench,
     title = {DTR-Bench: An In Silico Environment and Benchmark Platform for Reinforcement Learning-based Dynamic Treatment Regimes},
     author = {Luo, Zhiyao and Zhu, Mingcheng and Liu, Fenglin and Li, Jiali and Pan, Yangchen and Zhou, Jiandong and Zhu, Tingting},
     year = {2024},
   }

2023

1. JKSU-CIS

   A Novel Model Compression Method Based on Joint Distillation for Deepfake Video Detection

   X. Xu,S. Tang,Mingcheng Zhu, and others

   Journal of King Saud University - Computer and Information Sciences, 2023

   Paper Bib

   @article{xu2023jointdistillation,
     title = {A Novel Model Compression Method Based on Joint Distillation for Deepfake Video Detection},
     author = {Xu, X. and Tang, S. and Zhu, Mingcheng and others},
     journal = {Journal of King Saud University - Computer and Information Sciences},
     volume = {35},
     number = {9},
     pages = {101792},
     year = {2023},
   }

2022

1. Neurocomputing

   Recognizing Irrelevant Faces in Short-Form Videos Based on Feature Fusion and Active Learning

   Mingcheng Zhu,R. Zhang, andH. Wang

   Neurocomputing, 2022

   Paper Code Data Bib

   @article{zhu2022irrelevantfaces,
     title = {Recognizing Irrelevant Faces in Short-Form Videos Based on Feature Fusion and Active Learning},
     author = {Zhu, Mingcheng and Zhang, R. and Wang, H.},
     journal = {Neurocomputing},
     volume = {501},
     pages = {694--704},
     year = {2022},
   }