Publications

Algorithmic collusion at inference time: A meta-game design and evaluation.

Yuhong Luo, Daniel Schoepflin and Xintong Wang. AAMAS, 2026.

Fair Representation Learning with Controllable High Confidence Guarantees via Adversarial Inference.

Yuhong Luo, Austin Hoag, Xintong Wang, Philip S. Thomas, Przemyslaw A. Grabowicz. In NeurIPS, 2025.

Scalable and Efficient Temporal Graph Representation Learning via Forward Recent Sampling.

Yuhong Luo and Pan Li. In Learning on Graphs, 2024.

Neighborhood-aware Scalable Temporal Network Representation Learning.

Yuhong Luo and Pan Li. In Learning on Graphs, 2022. Oral (4.6%), Best Paper Award.

Priprint

Can LLM Agents Assist Dynamic Network Simulation? A Case Study on Email Networks and Phishing Synthesis. In submission.

Siqi Miao, Ziyang Chen, Yuhong Luo, Hans Hao-Hsun Hsu, Mufei Li, Kaiqing Zhang, Pan Li. Insubmission, 2025.

Learning Fair Representations with High-Confidence Guarantees.

Yuhong Luo, Austin Hoag and Philip S. Thomas. arXiv preprint arXiv:2310.15358, 2023.