Xianxian Li
11 papers · 2021–2026 · 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
Jump to papers ↓+3 more ↓ Show less ↑
🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (27)
💎
Century Club · Bronze
🌈
Renaissance Researcher
(6)
🗃️
Keyword Collector
(64)
Top co-authors
Research topics
Machine Learning
(9)
Deep Learning
(8)
Architectures
(7)
Core Methods
(5)
Learning Types · Deep Learning
(4)
Artificial Intelligence
(3)
Computer Vision
(3)
Analysis
(3)
Application Areas
(3)
Learning Types · Machine Learning
(3)
Optimization & Theory
(3)
Learning Paradigms
(2)
Models
(2)
Computer Science
(1)
Knowledge & Reasoning
(1)
Keywords
graph neural network
(4)
node representation
(2)
privacy leakage
(2)
visual tracking
(2)
object tracking
(2)
node classification
(2)
contrastive learning
(2)
hyperbolic geometry
(2)
information bottleneck
(2)
graph representation learning
(1)
video understanding
(1)
graph generation
(1)
graph learning
(1)
synthetic data generation
(1)
online learning
(1)
privacy preservation
(1)
fraud detection
(1)
temporal reasoning
(1)
hierarchical structure
(1)
token learning
(1)
Papers
Prototype-Guided Supervision for Graph Learning with Noisy and Sparse Labels
AAAI 2026
Towards LLM-Empowered Knowledge Tracing via LLM-Student Hierarchical Behavior Alignment in Hyperbolic Space
AAAI 2026
An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks
IJCAI 2025
Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck
AAAI 2025
Discrete Curvature Graph Information Bottleneck
AAAI 2025
Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning
IJCAI 2025
Explicit Visual Prompts for Visual Object Tracking
AAAI 2024
Hyperbolic Geometric Latent Diffusion Model for Graph Generation
ICML 2024
ODTrack: Online Dense Temporal Token Learning for Visual Tracking
AAAI 2024
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding
AAAI 2024
Learning To Filter: Siamese Relation Network for Robust Tracking
CVPR 2021