Luping Ji

11 papers · 2024–2026 · 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 🗺️ Taxonomy Completionist (24) 💎 Century Club · Bronze ⚡ Prolific Year · Productive

Venues

AAAI (7) CVPR (2) ICLR (1) ICML (1)

Top co-authors

Mao Ye (7) Sicheng Zhu (4) Weiwei Duan (4) Pei Liu (4) Jianghong Huang (3) Shuang Peng (2) Shengjia Chen (2) Jiaxiang Gou (2) Ruijie Xiao (1) Bo Fu (1)

Research topics

Artificial Intelligence (8) Machine Learning (8) Core AI (7) Learning Types · Machine Learning (6) Computer Vision (4) Application Areas (4) Deep Learning (3) Analysis (3) Domain-Specific (2) Learning Paradigms (2) Learning Types · Deep Learning (2) Healthcare & Medicine (1) Architectures (1) Clinical (1) Core Methods (1)

Keywords

infrared small target detection (4) vision-language model (3) object detection (3) multiple instance learning (2) anomaly detection (2) prototype learning (2) domain adaptation (2) scene graph generation (1) cross-domain learning (1) semi-supervised learning (1) self-supervised learning (1) incremental learning (1) multi-view learning (1) feature attribution (1) ordinal regression (1) graph attention (1) spatio-temporal modeling (1) weak supervision (1) multi-instance learning (1) domain generalization (1)

Papers

CHAL: Causal-guided Hierarchical Anomaly-aware Learning for Moving Infrared Small Target Detection CVPR 2026 Cross-domain Joint Learning with Prototype-guided Mixture-of-Experts for Infrared Moving Small Target Detection AAAI 2026 Domain-Auxiliary Infrared Moving Small Target Detection by Learning to Overlook Domain Discrepancy AAAI 2026 Multi-view Invariance Learning for 3D Scene Graph Pre-training via Collaborative Cross-Modal Regularization AAAI 2026 SeViL: Semi-supervised Vision-Language Learning with Text Prompt Guiding for Moving Infrared Small Target Detection AAAI 2026 Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology ICLR 2025 Mining In-distribution Attributes in Outliers for Out-of-distribution Detection AAAI 2025 Motion Prior Knowledge Learning with Homogeneous Language Descriptions for Moving Infrared Small Target Detection AAAI 2025 Pseudo Visible Feature Fine-Grained Fusion for Thermal Object Detection CVPR 2025 Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification AAAI 2025 Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation ICML 2024