Zhanghexuan Ji

5 papers · 2023–2025 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🚀 Conference Pioneer

Venues

MICCAI (2) AISTATS (1) ICCV (1) ICLR (1)

Top co-authors

Xianghua Ye (3) Le Lu (3) Dakai Jin (3) Mingchen Gao (3) Chunwei Ma (2) Dazhou Guo (2) Puyang Wang (2) Yan Shen (2) Qifeng Wang (1) Wei Zhu (1)

Research topics

Machine Learning (3) Learning Types (3) Application Areas (2) Computer Vision (1) Deep Learning (1) Analysis (1) Architectures (1) Core Methods (1) Domain-Specific (1)

Keywords

continual learning (2) catastrophic forgetting (2) semantic segmentation (1) adversarial learning (1) transfer learning (1) domain adaptation (1) knowledge distillation (1) class-incremental learning (1) neural architecture search (1) data-free learning (1) medical image segmentation (1) source domain (1) knowledge forgetting (1) domain adversarial adaptation (1) double-head discriminator (1) voronoi diagram (1) power diagram reduction (1)

Papers

Lymph Node Metastasis Classification with Prototype-guided Multiple Instance Aggregation and Heterogeneous Feature Fusion MICCAI 2025 Continual Domain Adversarial Adaptation via Double-Head Discriminators AISTATS 2024 Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation MICCAI 2024 Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans ICCV 2023 Progressive Voronoi Diagram Subdivision Enables Accurate Data-free Class-Incremental Learning ICLR 2023