publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2025

  1. Preprint
    Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models
    Mickel Liu, Liwei Jiang, Yancheng Liang, Simon Shaolei Du, Yejin Choi, Tim Althoff, and Natasha Jaques
    2025
    arXiv Code
  2. ICLR 2026
    Improving Human-AI Coordination through Adversarial Training and Generative Models
    Paresh Chaudhary, Yancheng Liang, Daphne Chen, Simon S Du, and Natasha Jaques
    The Fourteenth International Conference on Learning Representations, 2025
    arXiv PDF Code Website
  3. ICML 2025
    Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination
    Kunal Jha, Wilka Carvalho, Yancheng Liang, Simon Shaolei Du, Max Kleiman-Weiner*, and Natasha Jaques*
    Forty-second International Conference on Machine Learning (Oral), 2025
    arXiv Code

2024

  1. NeurIPS 2024
    Learning to Cooperate with Humans using Generative Agents
    Yancheng Liang, Daphne Chen, Abhishek Gupta, Simon Shaolei Du*, and Natasha Jaques*
    Advances in Neural Information Processing Systems, 2024, 2024
    arXiv PDF Code Website
  2. AAMAS 2024
    MESA: Cooperative Meta-Exploration in Multi-Agent Learning through Exploiting State-Action Space Structure
    Zhicheng Zhang*, Yancheng Liang*, Yi Wu, and Fei Fang
    Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
    arXiv

2023

  1. IJCAI 2023 Workshop
    DeRisk: An Effective Deep Learning Framework for Credit Risk Prediction over Real-World Financial Data
    Yancheng Liang*, Jiajie Zhang*, Hui Li, Xiaochen Liu, Yi Hu, Yong Wu, Jinyao Zhang, Yongyan Liu, and Yi Wu
    Joint Workshop of the 5th Financial Technology and Natural Language Processing (FinNLP) and 2nd Multimodal AI For Financial Forecasting (Muffin) in conjunction with IJCAI 2023, 2023
    arXiv
  2. TMLR 2022
    Beyond Information Gain: An Empirical Benchmark for Low-Switching-Cost Reinforcement Learning
    Shusheng Xu, Yancheng Liang, Yunfei Li, Simon Shaolei Du, and Yi Wu
    Transactions on Machine Learning Research, 2022, 2023
  3. AAMAS 2023
    Fictitious cross-play: Learning global nash equilibrium in mixed cooperative-competitive games
    Zelai Xu, Yancheng Liang, Chao Yu, Yu Wang, and Yi Wu
    Journal of Machine Learning Research, 2025, 2023
    arXiv