Yanchen Jiang

According to our database, Yanchen Jiang authored at least 13 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2026

One Model, Two Markets: Bid-Aware Generative Recommendation.

Yanchen Jiang, Zhe Feng, Christopher P. Mah, Aranyak Mehta, Di Wang

CoRR, March, 2026

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 Bailey, Michael S. Bernstein, Mark Brandt, Amy Bruckman, Anshuman Chhabra, Soham De, Kayla Duskin, Sara Fish, Beth Goldberg, Andy Guess, Dylan Hadfield-Menell, Muhammad Haroon, Safwan Hossain, Michael Inzlicht, Gauri Jain, Yanchen Jiang, Alexander P. Landry, Yph Lelkes, Hongfan Lu, Peter Mason, Jennifer McCoy, Smitha Milli, Paul Resnick, Emily Saltz, Martin Saveski, Lisa Schirch, Max Spohn, Siddarth Srinivasan, Alexis Tatore, Luke Thorburn, Joshua A. Tucker, Robb Willer, Magdalena Wojcieszak, Manuel Wüthrich, Sylvan Zheng

CoRR, March, 2026

LLM Active Alignment: A Nash Equilibrium Perspective.

Tonghan Wang, Yuqi Pan, Xinyi Yang, Yanchen Jiang, Milind Tambe, David C. Parkes

CoRR, February, 2026

2025

Incentive-Aligned Multi-Source LLM Summaries.

Yanchen Jiang, Zhe Feng, Aranyak Mehta

CoRR, September, 2025

Learning from Synthetic Labs: Language Models as Auction Participants.

Anand Shah, Kehang Zhu, Yanchen Jiang, Jeffrey G. Wang, Arif Kerem Dayi, John J. Horton, David C. Parkes

CoRR, July, 2025

BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization.

Tonghan Wang, Yanchen Jiang, David C. Parkes

CoRR, February, 2025

LLM-Powered Preference Elicitation in Combinatorial Assignment.

Ermis Soumalias, Yanchen Jiang, Kehang Zhu, Michael J. Curry, Sven Seuken, David C. Parkes

CoRR, February, 2025

Real-time traffic object detection algorithm with deep stochastic configuration networks.

Yongfu Wang, Yang Liu, Ran Yi, Yanchen Jiang

Inf. Sci., 2025

Multi-stage stochastic programming for thermal power plant coal procurement considering long-term contract under uncertainties.

Jun Li, Yanchen Jiang, Qiansheng Li, Yongfu Wang

Comput. Chem. Eng., 2025

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

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

2024

Charting the Shapes of Stories with Game Theory.

Constantinos Daskalakis, Ian Gemp, Yanchen Jiang, Renato Paes Leme, Christos H. Papadimitriou, Georgios Piliouras

CoRR, 2024

GemNet: Menu-Based, Strategy-Proof Multi-Bidder Auctions Through Deep Learning.

Tonghan Wang, Yanchen Jiang, David C. Parkes

Proceedings of the 25th ACM Conference on Economics and Computation, 2024

2023

Data Market Design through Deep Learning.

Sai Srivatsa Ravindranath, Yanchen Jiang, David C. Parkes

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023