Tom H. Luan

2 accepted papers

2026

Incentivizing Truthful Machine Unlearning via Hierarchical Auditing

Shaolong Guo, Yuntao Wang, Zhou Su, Tom H. Luan

IJCAI 2026

Machine unlearning has become a critical capability for AI services to comply with evolving privacy regulations. A key yet underexplored challenge is how to verify whether a profit-driven AI server has faithfully performed unlearning. Existing verification approaches either incur prohibitive costs o

Cited by 0 Scholar ↗

2026

Towards Scalable Metaverse Systems with Social-Aware VR Displays

Shaolong Guo, Yuntao Wang, Qinnan Hu, Zhou Su, Tom H. Luan

IJCAI 2026

The Metaverse is envisioned to support immersive, large-scale social interactions via virtual reality (VR) displays. However, scalability remains a major bottleneck: as the number of concurrent users grows, tracking and updating display content incurs quadratic overhead, often limiting a shared virt

Cited by 0 Scholar ↗

Tom H. Luan — accepted AI-conference papers · AIConfPaper