Yanchen Jiang

16 papers A* 2A 1Journal 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
LLM Active Alignment: A Nash Equilibrium Perspective.
CoRR
Tonghan Wang, Yuqi Pan, Xinyi Yang, Yanchen Jiang, Milind Tambe, David C. Parkes
2026 J jnl
One Model, Two Markets: Bid-Aware Generative Recommendation.
CoRR
Yanchen Jiang, Zhe Feng, Christopher P. Mah, Aranyak Mehta, Di Wang
2026 J jnl
The Prosocial Ranking Challenge: Reducing Polarization on Social Media without Sacrificing Engagement.
CoRR
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
2025 J jnl
BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization.
CoRR
Tonghan Wang, Yanchen Jiang, David C. Parkes
2025 J jnl
Incentive-Aligned Multi-Source LLM Summaries.
CoRR
Yanchen Jiang, Zhe Feng, Aranyak Mehta
2025 J jnl
LLM-Powered Preference Elicitation in Combinatorial Assignment.
CoRR
Ermis Soumalias, Yanchen Jiang, Kehang Zhu, Michael J. Curry, Sven Seuken, David C. Parkes
2025 J jnl
Learning from Synthetic Labs: Language Models as Auction Participants.
CoRR
Anand Shah, Kehang Zhu, Yanchen Jiang, Jeffrey G. Wang, Arif Kerem Dayi, John J. Horton, David C. Parkes
2025 J jnl
Multi-stage stochastic programming for thermal power plant coal procurement considering long-term contract under uncertainties.
Comput. Chem. Eng.
Jun Li, Yanchen Jiang, Qiansheng Li, Yongfu Wang
2025 A conf
On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow.
AAMAS
Tonghan Wang, Heng Dong, Yanchen Jiang, David C. Parkes, Milind Tambe
2025 J jnl
Real-time traffic object detection algorithm with deep stochastic configuration networks.
Inf. Sci.
Yongfu Wang, Yang Liu, Ran Yi, Yanchen Jiang
2024 J jnl
Charting the Shapes of Stories with Game Theory.
CoRR
Constantinos Daskalakis, Ian Gemp, Yanchen Jiang, Renato Paes Leme, Christos H. Papadimitriou, Georgios Piliouras
2024 A* conf
GemNet: Menu-Based, Strategy-Proof Multi-Bidder Auctions Through Deep Learning.
EC
Tonghan Wang, Yanchen Jiang, David C. Parkes
2024 J jnl
GemNet: Menu-Based, Strategy-Proof Multi-Bidder Auctions Through Deep Learning.
CoRR
Tonghan Wang, Yanchen Jiang, David C. Parkes
2024 J jnl
On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow.
CoRR
Tonghan Wang, Heng Dong, Yanchen Jiang, David C. Parkes, Milind Tambe
2023 A* conf
Data Market Design through Deep Learning.
NeurIPS
Sai Srivatsa Ravindranath, Yanchen Jiang, David C. Parkes
2023 J jnl
Data Market Design through Deep Learning.
CoRR
Sai Srivatsa Ravindranath, Yanchen Jiang, David C. Parkes