Publications

Conference Papers

• Auto-Bidding under Return-on-Spend Constraints with Uncertainty Quantification. [proceedings] [preprint] [code]
  Jiale Han, Chun Gan, Chengcheng Zhang, Jie He, Zhangang Lin, Ching Law, and Xiaowu Dai.
  The ACM Web Conference (WWW), 2026. (Oral Presentation)

• Variance Reduction via Resampling and Experience Replay. [proceedings] [preprint] [code]
  Jiale Han, Xiaowu Dai, and Yuhua Zhu.
  The 40th Annual AAAI Conference on Artificial Intelligence (AAAI), 2026. (Oral Presentation, ≤ 4.5%)

• Incentivizing Truthful Language Models via Peer Elicitation Games. [proceedings] [preprint] [code]
  Baiting Chen, Tong Zhu, Jiale Han, Leixin Li, Gang Li, and Xiaowu Dai.
  Advances in Neural Information Processing Systems (NeurIPS), 2025.

Journal Papers

• Online Auction Design Using Distribution-Free Uncertainty Quantification with Applications to E-Commerce. [journal] [preprint] [code]
  Jiale Han and Xiaowu Dai.
  Journal of the American Statistical Association (JASA), 2025.

Workshop and Preprints

• Mechanism Design for Quality-Preserving LLM Advertising. [pdf] [code]
  Jiale Han and Xiaowu Dai.
  Preprint, 2026.

• A Robust Multi-Item Auction Design with Statistical Learning. [openreview] [preprint] [code]
  Jiale Han and Xiaowu Dai.
  ICLR Workshop on AI for Mechanism Design and Strategic Decision Making (ICLR Workshop AIMS), 2026.