Projects
Selected projects across industry, research, and independent work.
2026
Developed and integrated a multimodal registration system between pre-operative CT and intra-operative tomography, improving real-time lesion visibility for image-guided biopsy.
2025
Led feasibility, development, and production deployment of an internal airway segmentation system for treatment planning, replacing a third-party API with a customized in-house pipeline.
2024
Built an AI-assisted annotation and refinement pipeline for fluoroscopy data, then trained and deployed an nnU-Net system for metal artifact reduction across multiple C-arm platforms.
2023
Patient-specific reference model prediction for orthognathic surgical planning using self-supervised learning and deep query-based retrieval.
2023
A planning framework that predicts facial soft-tissue response and reduces iterative guesswork in orthognathic surgical planning.
2022
Research internship at Tencent America on unsupervised domain adaptation for 360 image panoptic segmentation in 3D virtual tour workflows.
2022
Deep learning-based facial appearance simulation that estimates soft-tissue change from planned craniomaxillofacial bony movement.
2021
Shape-aware objectives that inject global geometric and statistical structure into medical image segmentation training.
2020
Multimodal patient outcome prediction combining CT imaging and non-imaging clinical signals for COVID-19 risk assessment.
2020
A unified multi-scale segmentation framework for learning across multiple partially labeled datasets with a single model.
2019
Deep learning-based liver segmentation and multimodal fusion workflows for image-guided intervention.
2018
Undergraduate dissertation project at Wuhan University on multi-label thoracic pathology recognition from chest X-rays using residual-assisted DenseNet models.
2018
Research internship on image captioning with saliency-guided attention at the State Key Laboratory of Intelligent Technology and Systems, Tsinghua University.
2017
Deep learning internship on lung nodule detection with clinical collaborators at Tongji Hospital, Wuhan.
2026
Built and iterated on open-source robot platforms, including SO-101 and OpenDuckMini, spanning hardware setup, low-level control, and simulation workflows for future learning-based manipulation.
2026
Worked on post-training and evaluation workflows for vision-language-action models, with a focus on robotic manipulation and transfer from simulation to real systems.
2025
Independent research and mentoring work on ultrasound image segmentation, leading to the DEPT method and an IEEE GLOBECOM publication.
2023
Independent research and mentoring work on efficient transformer design for 3D medical image segmentation, leading to a PRCV publication.
2023
Efficient 3D transformer development and self-supervised pretraining for transferable medical image foundation models.