Publications

Publications

1. Algorithmic collusion at inference time: A meta-game design and evaluation.
   Yuhong Luo, Daniel Schoepflin and Xintong Wang.
   International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2026.
   [arXiv], [paper (proceedings)], [poster], [code/data], [talk]
2. Fair Representation Learning with Controllable High Confidence Guarantees via Adversarial Inference.
   Yuhong Luo, Austin Hoag, Xintong Wang, Philip S. Thomas, Przemyslaw A. Grabowicz.
   Neural Information Processing Systems (NeurIPS), 2025. Scholar Award.
   [arXiv], [poster], [code/data], [talk]
3. Scalable and Efficient Temporal Graph Representation Learning via Forward Recent Sampling.
   Yuhong Luo and Pan Li.
   Learning on Graphs Conference (LoG), 2024.
   [arXiv], [poster], [code/data]
4. Neighborhood-aware Scalable Temporal Network Representation Learning.
   Yuhong Luo and Pan Li.
   Learning on Graphs Conference (LoG), 2022. Best Paper Award.
   [arXiv], [poster], [code/data], [talk]

Workshops

1. Decentralized Aggregation of LLM Predictions via Wagering Mechanisms.
   Yuhong Luo, David M Pennock, Xintong Wang.
   ICML: AI Forecasting Workshop, 2026. Spotlight.
   EC: Game Theory and Mechanism Design with Large Language Models, 2026.
   Marketplace Innovation Workshop (MIW), 2026.
   [arXiv], [poster], [code/data]
2. Algorithmic collusion at inference time: A meta-game design and evaluation.
   Yuhong Luo, Daniel Schoepflin and Xintong Wang.
   EC: Game Theory and Mechanism Design with Large Language Models, 2026.
   Marketplace Innovation Workshop (MIW), 2026.
   [arXiv]

Preprints

1. Decentralized Aggregation of LLM Predictions via Wagering Mechanisms.
   Yuhong Luo, David M Pennock, Xintong Wang.
   In submission, 2026.
   [arXiv]
2. Can LLM Agents Simulate Dynamic Networks? A Case Study on Email Networks with Phishing Synthesis.
   Siqi Miao, Ziyang Chen, Yuhong Luo, Hans Hao-Hsun Hsu, Mufei Li, Kaiqing Zhang, Pan Li.
   In submission, 2026.
   [arXiv]
3. Learning Fair Representations with High-Confidence Guarantees.
   Yuhong Luo, Austin Hoag and Philip S. Thomas.
   arXiv preprint, 2023.
   [arXiv]