Zhengxing Huang
教授
Works on AI for medicine and healthcare, including ECG-based cardiac analysis, clinical reinforcement learning and LLM-based diagnosis.
Zhengxing Huang's lab at Zhejiang works on reinforcement learning. 24 papers since 2023, 8 at top venues, mostly MICCAI and AAAI. Applications close .
At a glance
- papers, 2023–2026
- 6/ year
- at T1 venues
- 33%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 4 papers2026 · T1 1 · collecting
- 6 papers2025 · T1 3
- 8 papers2024 · T1 3
- 6 papers2023 · T1 1
T1 venuesOtherVenues: MICCAI, AAAI, npj Digit. Medicine, Expert Systems with Applications, Findings of ACL
Research focuspaper titles that use each topic's words
- Reinforcement learning9 papers
- cardiac2 papers
- llm-based1 paper
- clinical1 paper
- diagnosis0 papers
Paper list
From DBLP.
20264 papers
- npj Digit. MedicineAI modeling photoplethysmography to electrocardiography useful for predicting cardiovascular disease (opens in a new tab)
- AAAI (T1)anyECG-chat: A Generalist ECG-MLLM for Flexible ECG Input and Multi-Task Understanding (opens in a new tab)
- J. Biomed. InformaticsBeyond Accuracy: Safety-Centered guidelines for the evaluation of LLM-based therapy recommendation systems for chronic multimorbidity patients (opens in a new tab)
- Findings of ACLReStyle-TTS: Relative and Continuous Style Control for Zero-Shot Speech Synthesis (opens in a new tab)
20256 papers
- MICCAI (T1)DC-Seg: Disentangled Contrastive Learning for Brain Tumor Segmentation with Missing Modalities (opens in a new tab)
- Comput. Methods Programs Biomed.GDReCo: Fine-grained gene-disease relationship extraction corpus (opens in a new tab)
- Expert Systems with ApplicationsHyperSegmenter: Reappraising the potential of large kernel CNN architecture in efficient semantic segmentation (opens in a new tab)
- ICASSP (T1)KCGAFormer: When Large-Kernel ConvFormer Meets KAN in Semantic Segmentation (opens in a new tab)
- MICCAI (T1)Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications (opens in a new tab)
- npj Digit. MedicinePhenotypic screening and genetic insights for predicting major vascular-related diseases using retinal imaging (opens in a new tab)
20248 papers
- MICCAI (T1)Adapting Pre-trained Generative Model to Medical Image for Data Augmentation (opens in a new tab)
- BIBMCounterfactual Trajectories Prediction for Features of Non-Communicable Disease (opens in a new tab)
- MICCAI (T1)Cross-Modality Cardiac Insight Transfer: A Contrastive Learning Approach to Enrich ECG with CMR Features (opens in a new tab)
- Briefings Bioinform.Global-local aware Heterogeneous Graph Contrastive Learning for multifaceted association prediction in miRNA-gene-disease networks (opens in a new tab)
- IEEE Trans. Syst. Man Cybern. Syst.Interpretable Disease Progression Prediction Based on Reinforcement Reasoning Over a Knowledge Graph (opens in a new tab)
- ICHIMessage from the Program Chairs; ICHI 2024 (opens in a new tab)
- MICCAI (T1)Physical-Priors-Guided Aortic Dissection Detection Using Non-Contrast-Enhanced CT Images (opens in a new tab)
- Medical Image Anal.Simulating doctors' thinking logic for chest X-ray report generation via Transformer-based Semantic Query learning (opens in a new tab)
20236 papers
- J. Biomed. InformaticsAdversarial reinforcement learning for dynamic treatment regimes (opens in a new tab)
- Frontiers Artif. Intell.Editorial: Explainable artificial intelligence for critical healthcare applications (opens in a new tab)
- J. Biomed. InformaticsKnowledge-aware patient representation learning for multiple disease subtypes (opens in a new tab)
- AAAI (T1)Learning Chemical Rules of Retrosynthesis with Pre-training (opens in a new tab)
- EMBCLearning Representations from Medical Text for Effective Diagnoses and Knowledge Discovery (opens in a new tab)
- J. Biomed. InformaticsPersonalization in mHealth: Innovative informatics methods to improve patient experience and health outcome (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to ZhejiangFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- Per ZJU language requirements
- Fee
- RMB 800
Not yet confirmed for this intake.
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36 T1
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- The lab site and the paper record do not agree.
- Collected
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- Papers
- DBLP
- Members
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- Alumni
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Tiers are venue classifications, not lab rankings.
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