Publications & Projects

Google Scholar Profile.

Academic Publications

* indicates equal contribution, (\(\alpha\)-\(\beta\)) indicates alphabetical author order.

Selected Conference Publications:

1. Duality for Optimal Multi-Item, Multi-Bidder Auction Design: Revenue Certificates through Deep Learning
Yanchen Jiang, David C. Parkes, Tonghan Wang.
The Twenty-seventh ACM Conference on Economics and Computation (EC’26). Preprint.

2. Incentive-Aligned Multi-Source LLM Summaries
Yanchen Jiang, Zhe Feng, Aranyak Mehta.
The Fourteenth International Conference on Learning Representations (ICLR 2026). Publication, Preprint.

3. BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization
Tonghan Wang, Yanchen Jiang, David C. Parkes.
The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025). Publication, Preprint.

4. GemNet: Menu-Based, Strategy-Proof Multi-Bidder Auctions Through Deep Learning
Tonghan Wang*, Yanchen Jiang* , David C. Parkes.
The Twenty-Fifth ACM Conference on Economics and Computation (EC’24), Publication, Preprint.
Won the EC’24 Exemplary AI Track Paper Award, the AI track’s best-paper recognition, and was presented in the Best EC’24 Papers plenary session.

5. Data Market Design through Deep Learning
Sai Srivatsa Ravindranath*, Yanchen Jiang* , David C. Parkes.
The Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS 2023). Publication, Preprint.

Other Conference Publications:

1. On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow
Tonghan Wang*, Heng Dong*, Yanchen Jiang, David C. Parkes, Milind Tambe.
24th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2025), Preprint.

Consortium Publications:

1. AI-assisted teams outperform AI-led teams but not human-only teams in assessing research reproducibility in quantitative social science
Abel Brodeur, et al. including Yanchen Jiang.
Proceedings of the National Academy of Sciences 123(22), 2026. Publication.

2. The Prosocial Ranking Challenge: Reducing Polarization on Social Media without Sacrificing Engagement
Jonathan Stray, Ian Baker, George Beknazar-Yuzbashev, Ceren Budak, Julia Kamin, Kylan Rutherford, Mateusz Stalinski, Tin Acosta, Chris Bail, Michael Bernstein, Mark Brandt, Amy Bruckman, Anshuman Chhabra, Soham De, Kayla Duskin, Sara Fish, Beth Goldberg, Andy Guess, Dylan Hadfield-Menell, Muhammed Haroon, Safwan Hossain, Michael Inzlicht, Gauri Jain, Yanchen Jiang, et al. 
arXiv preprint arXiv:2603.19626, 2026. Preprint.

Workshop and Exhibition Papers:

1. Charting the Shapes of Stories with Game Theory
(\(\alpha\)-\(\beta\)) Constantinos Daskalakis, Ian Gemp, Yanchen Jiang, Renato Paes Leme, Christos Papadimitriou, Georgios Piliouras.
The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2024) Creative AI Track. Preprint, NeurIPS 2024 Creative AI.

2. Evidence from the Synthetic Laboratory: Language Models as Auction Participants
Anand Shah*, Kehang Zhu*, Yanchen Jiang, Kerem Dayi, Jeffery Wang, John J. Horton, David C. Parkes.
EC’24 contributed poster session; NeurIPS 2024 Workshop on Behavioral Machine Learning. Preprint.

Preprints and Working Papers:

1. One Model, Two Markets: Bid-Aware Generative Recommendation
Yanchen Jiang, Zhe Feng, Christopher P. Mah, Aranyak Mehta, Di Wang
arXiv Preprint.

2. LLM Active Alignment: A Nash Equilibrium Perspective
Tonghan Wang, Yuqi Pan, Xinyi Yang, Yanchen Jiang, Milind Tambe, David C. Parkes.
arXiv Preprint.

3. LLM-Powered Preference Elicitation in Combinatorial Assignment
Ermis Soumalias*, Yanchen Jiang*, Kehang Zhu*, Michael Curry, Sven Seuken, David C. Parkes.
arXiv Preprint.

Survey Papers and Research Letters:

1. Automated Mechanism Design: A Survey
Michael J. Curry, Zhou Fan, Yanchen Jiang, Sai Srivatsa Ravindranath, Tonghan Wang, David C. Parkes.
ACM SIGecom Exchanges, volume 22, issue 2, March 2025. Publication.