Philip S. Yu
University of Illinois Urbana-Champaign
Public scientific profile · Unclaimed
Built from public scholarly sources. Expertise is inferred by ScienceWe from publications and has not been confirmed by the scientist.
Top expertise
Adversarial Robustness in Machine Learning
Strong evidence · 1 supporting paper · latest 2026
Privacy-Preserving Technologies in Data
Strong evidence · 1 supporting paper · latest 2026
Advanced Graph Neural Networks
Solid evidence · 4 supporting papers · latest 2026
Recommender Systems and Techniques
Solid evidence · 1 supporting paper · latest 2026
Data Stream Mining Techniques
Solid evidence · 1 supporting paper · latest 2026
Misinformation and Its Impacts
Solid evidence · 1 supporting paper · latest 2026
Topic Modeling
Solid evidence · 1 supporting paper · latest 2026
Spam and Phishing Detection
Solid evidence · 1 supporting paper · latest 2026
Publications (15)
Manifold-Constrained Adversarial Training for Long-Tailed Robustness via Geometric Alignment
2026DOI
Differentially Private Graph Learning: A Survey
2026DOI
MEFCL: Reliability-aware multi-view edge-filtered contrastive learning for graph recommendation
2026DOI
Streaming Data Mining and Modeling: A Survey from Deep Learning to the Foundation Model Era
2026DOI
Graph-based fraud detection with dual-path graph filtering
2026DOIPMID 42580092
RoBCtrl: Attacking GNN-Based Social Bot Detectors via Reinforced Manipulation of Bots Control Interaction
2026DOI
XBridge: Entity-Grounded Latent Bridge for Heterogeneous LLM Communication
2026DOI
The 15th International Workshop on Urban Computing
2026DOI
AMOS: Active Mining with Observable Steps for Agenda-Driven Review Knowledge Discovery
2026DOI
Incorporating 3D Structural Information for Activity Cliff Analysis
2026DOI
Geometry-aware Test-Time Adaptation on Graphs
2026DOI
The 5th Workshop on AI Agent for Information Retrieval: Generating and Ranking
2026DOI
2nd Workshop on Frontiers in Graph Machine Learning for the Large Model Era
2026DOI
Riemannian Geometry Speaks Louder Than Words: From Graph Foundation Model to Next-Generation Graph Intelligence
2026DOI
From Generic Intelligence to Personalized AI: A Tutorial on Foundations of LLM Personalization
2026DOI
Organizations in sourced records
Affiliation evidence only — not confirmed current employment.
- University of Illinois Urbana-Champaign
Source: OpenAlex · retrieved 2026-09-29