Jielong Lu

6 papers · 2025–2026 · 2 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 (16) ⭐ Rising Star (6)

Venues

AAAI (3) IJCAI (3)

Top co-authors

Haishuai Wang (5) zhihao wu (5) Jiajun Yu (4) Jiajun Bu (2) Shide Du (1) Jie Lian (1) Sheng Zhou (1) Zihan Fang (1) Guangyong Chen (1) Weiran Liao (1)

Research topics

Machine Learning (6) Deep Learning (5) Architectures (5) Core Methods (4) Learning Types (4) Artificial Intelligence (3) Healthcare & Medicine (2) Core AI (2) Research (2) Learning Paradigms (1) Techniques (1)

Keywords

graph neural network (6) representation learning (3) attention mechanism (2) graph learning (1) graph anomaly detection (1) graph representation learning (1) knowledge distillation (1) semantic representation (1) mutual information (1) multi-view learning (1) node embedding (1) multiplex graph (1) node classification (1) mixture of expert (1) model collaboration (1) centrality measure (1) graph-level learning (1) readout function (1) multi-omics integration (1) cancer subtype classification (1)

Papers

Beyond Local Patterns: Multiscale Inconsistency Learning for Graph Anomaly Detection AAAI 2026 From Static to Active: Knowledge-Aware Node State Selection in Multi-view Graph Learning AAAI 2026 Unifying Multi-View Knowledge for Graph Learning via Model Collaboration AAAI 2026 A Centrality-based Graph Learning Framework IJCAI 2025 Divide and Conquer: Coordinating Multiplex Mixture of Graph Learners to Handle Multi-Omics Analysis IJCAI 2025 Multi-Omics Analysis for Cancer Subtype Inference via Unrolling Graph Smoothness Priors IJCAI 2025