CV

Education

Sichuan University, PhD in Artificial Intelligence (Direct PhD Program), Sep 2022 - Present

• College of Computer Science, Artificial Intelligence Applications
• Advisors: Prof. Zhang Yi (IEEE Fellow)

Sichuan University, B.Eng. in Computer Science and Technology, Sep 2018 - Jun 2022

• College of Computer Science

Research Projects

Chest CT World Foundation Model Project Lead | Intelligent Medical Center, Sichuan University Jun 2026 - Present

• Background: Building a CT-anatomy-aware JEPA world foundation model on ~120,000 chest CT scans to learn generalizable representations for thoracic imaging.
• Outcomes: Achieved SOTA on multiple downstream tasks; department-wide downstream validation is planned in Thoracic Surgery at West China Hospital, Sichuan University.
• Technical Highlights: Designed a Continuous Thought Machine-based disentangled modeling pipeline that integrates CT anatomical priors into JEPA pretraining.

Multimodal Report Generation System for 3D Radiological Imaging Algorithm Lead | Intelligent Medical Center, Sichuan University Sep 2025 - May 2026

• Background: Built on the heterogeneous computing platform provided by the NSFC Major Program "Deep Learning Frameworks for Heterogeneous Computing Architectures and Large-Model Demonstration Applications," this work operationalizes the Sichuan Provincial Imaging Medicine Clinical Research Center open project "Multimodal-LLM-based DR Report Template Retrieval." Addressing radiologists' heavy daily reading workload and time-consuming report writing, it delivers an end-to-end system from 3D CT input to structured radiology report output.
• Outcomes: In collaboration with Dazhou Central Hospital, curated CT/MRI/X-ray scans and original reports from 28,752 patients, and designed a three-stage quality-control pipeline (physician entity-level correction + cross-physician consistency review + rule-engine anomaly detection) to build a high-quality multimodal dataset. The model was deployed at Dazhou Central Hospital with strong clinical results.
• Technical Highlights: Designed a vision-language alignment engine on SAT-Pro, M3D-CLIP, LLaMA3-8B and PPO, performing evidence grounding with 32 organ-entity queries and 48 lesion-entity queries, trained via LoRA (rank=64) + 8-bit quantization on 4×RTX 4090, and packaged as a PACS-integrable inference service.

Deep Radiomics for Lung Metastasis Prediction Algorithm Lead | Intelligent Medical Center, Sichuan University Jun 2024 - Jun 2025

• Background: For the Sichuan Provincial Department of Science and Technology Key R&D Project "Clinical Application of Lung Metastasis Prediction Based on Deep Radiomics," built a full-pipeline deep radiomics workflow spanning lesion segmentation, feature modeling, and metastasis risk prediction.
• Outcomes: Conducted multi-center validation with clinicians and developed interpretability modules and a decision-support interface to advance integration into clinical workflows.
• Technical Highlights: Applied a foreground-consistency semi-supervised 3D segmentation framework to pulmonary lesion modeling and optimized the imaging-feature backbone with graph-Mamba-style linear-complexity modeling, reducing annotation dependence under limited-label settings while maintaining inference efficiency.

Skills

• Programming: Python, PyTorch, C/C++, LaTeX
• Research: Medical Image Analysis, Deep Learning, Computer Vision
• Languages: Chinese (Native), English (Proficient)

Awards & Honors

• First Prize, Sichuan Province "Challenge Cup" Competition (2026)
• Sichuan Province Young Doer (2025)
• Bronze Medal, National Postdoctoral Innovation and Entrepreneurship Competition (2023)
• First-Class Doctoral Fellowship, Sichuan University (2022)