Scholar
Zhanghexuan Ji
Google Scholar ID: P82JEXcAAAAJ
Senior Algorithm Engineer, Alibaba Group (U.S.) - DAMO Academy
Citations & Impact
Citations
313
H-index
7
i10-index
7
Publications
17
Co-authors
9
list available
Publications
Resume (English only)
Academic Achievements
- Paper 'Low-Rank Continual PVT for Whole-body Organ Segmentation' accepted to MICCAI 2024; Paper 'Continual Domain Adversarial Adaptation via Double-Head Discriminators' accepted to AISTATS 2024; Paper 'Continual Segmentation of 143 Whole-body Organs in CT Scans' accepted to ICCV 2023; Paper 'Memory-Free Class Incremental Learning (iVoro)' accepted to ICLR 2023; Paper 'Federated Adversarial Domain Adaptation (FedMM)' accepted to AAMAS 2023.
Research Experience
- Senior Algorithm Engineer at Alibaba Group (U.S.) - DAMO Academy - Medical AI Lab, Washington, DC, Jan 2024 - Present. R&D Intern at Johnson & Johnson MedTech - LCI/WWDA, Raritan, NJ, Jan - Dec, 2023. Research Intern at Alibaba Group (U.S.) - DAMO Academy - Medical AI Lab, New York, NY, May - Nov, 2022. Research Intern at PAII Inc. R&D Lab, Bethesda, MD, May - August, 2019.
Education
- Ph.D. in Computer Science from University at Buffalo (UB), SUNY, advised by Prof. Mingchen Gao; M.S. in Biomedical Engineering from Northwestern University, 2018; B.E. in Biomedical Engineering from Chien-shiung Wu College (Honors Program), Southeast University, Nanjing, China, 2016.
Background
- Research interests include label efficient learning, continual learning, multi-modality learning, and transfer learning/adaptation, with applications in real-world computer vision and medical image analysis.
Miscellany
- AI/Deep Learning Engineer, Researcher and Enthusiast
