Research & Achievements
- Kaggle Data Science Bowl 2017 (Lung Nodule Detection): 1st Place Globally. Pioneered a 3D Faster-RCNN framework and weak supervision for malignancy prediction. Paper cited ~500 times, code received 1k+ stars on GitHub. [GitHub] [Competition]
- Kaggle Data Science Bowl 2016 (Ventricular Volume Estimation): 4th Place. Proposed a novel approach combining 3D weak labels with 2D segmentation. Published in IEEE TCYB. [Competition]
- Adversarial Robustness (NIPS 2017 Competition): Best Defense Award. Developed Representation-Guided Denoiser. Also co-proposed Momentum-Attack (paper cited 3k+ times), enhancing black-box attack transferability. [GitHub]
- Academic Impact: Published 10+ SCI papers as first/corresponding author with over 5,000 total citations. Key publications in journals like IEEE Transactions on Cybernetics and IEEE Transactions on Neural Networks and Learning Systems (multiple papers with 1000+ citations each). Invited speaker at international conferences (e.g., Google AI Summit, CVPR).