陈阳  

青年研究员
上海人工智能实验室

简历   |   邮箱  |   领英   |   谷歌学术   |   Research Gate

我于2022年在奥克兰大学获得计算机科学博士学位， 于2018年在奥克兰大学获得计算机科学一等荣誉学位。在来新西兰之前，我于2017年在北京理工大学获得计算机科学学士学位。

我的研究兴趣包括强化学习、多智能体系统和博弈论。近期，我的目标是从强化学习和博弈论的角度解决建模为多智能体系统的问题，我的最终目标是加强对将强化学习与博弈论相结合的模型的认识与应用。​最近，我的重点转移到应用强化学习和大型语言模型在推理，行为建模，以及道德人工智能和负责任的人工智能中的应用。

在研究和教学生活的同时，我还是一名徒步旅行和摄影爱好者。我在徒步旅行中拍摄的照片集收录于我的个人在线相册 和 社交平台。我徒步走过中国和新西兰许多城镇的著名路线。

如有兴趣合作, 请通过邮箱联系我，并附上个人简介.



2025年7月 -- 当前 Young Researcher 上海人工智能实验室
2024年10月 -- 2025年7月 Senior Research Associate 新南威尔士大学
2024年10月 访问 哥本哈根大学
2022年6月 访问 电子科技大学
2022年9月 -- 2024年9月 Research Fellow 奥克兰大学
2018年11月 -- 2022年9月 博士（计算机科学） 奥克兰大学
2020年9月 -- 2021年1月 研究实习生 阿里巴巴达摩院
2017年7月 -- 2018年7月 一等荣誉学士（计算机科学） 奥克兰大学
2013年8月 -- 2017年6月 学士（计算机科学与技术） 北京理工大学



From One to Infinity: New Perspectives and Methods for Inverse Reinforcement Learning 哥本哈根大学. 丹麦. 2024年10月8日. 演示文稿
Identify and Mitigate Bias-Perpetuating Behaviours: Decoding Animal Behaviour via Many-agent IRL AAMAS 2024 Affinity Group Event on Diversity in AI. Invited talk. 奥克兰. 2024年5月7日. 演示文稿
Towards Many-agent Inverse Reinforcement Learning via Mean Field Games DAI 2023. 受邀报告. 新加坡. 2023年12月2日. 演示文稿
Promotional talk for AAMAS 2024 at the closing session of AAMAS 2023 AAMAS 2023. 伦敦. 2023年6月2日. 演示文稿
Mean Field Game as a Framework for Many-agent Inverse Reinforcement Learning ML and MFG seminar. 在线. 2022年12月6日. 演示文稿



COMPSCI 713 Artificial Intelligence Fundamentals 2024年第一学期, 奥克兰大学 课程视频/作业/考试/代码
COMPSCI 761 Advanced Topics in Artificial Intelligence Semester 2, 2022-2023, 奥克兰大学 课程视频/作业/考试/代码



当前项目




AAMAS 2022 会议奖学金 2022年4月
谷歌全球博士奖研金提名 (澳大利亚-新西兰区) 2020年8月
BSCI 2019最佳论文奖 2019年7月
Precision Driven Health research partnership 暑期奖学金 2019年7月
奥克兰大学博士奖学金 2018年11月 - 2021年11月



会议审稿:

ICLR 2025, NeurIPS 2025, AAAI 2026, IJCAI 2025, ACL 2024-2025, AAMAS 2023-2025, ECAI 2024-2025, COLM 2025.

会议审稿:

JMLR.

学术活动组织:

Local Co-chair of AAMAS 2024
Co-chair of AAMAS 2024 AAAI track



如果出版方链接不是免费的，请参考arXiv或其他平台上托管的PDF文件。部分文章附有演讲视频、演示文稿、视频、代码和其他额外材料。 获奖论文已突出显示。

大语言模型中的强化学习

  • The Landscape of Agentic Reinforcement Learning for LLMs: A Survey.
    Guibin Zhang, Hejia Geng, Xiaohang Yu, Zhenfei Yin, Zaibin Zhang, Zelin Tan, Heng Zhou, Zhongzhi Li, Xiangyuan Xue, Yijiang Li, Yifan Zhou, Yang Chen, Chen Zhang, Yutao Fan, Zihu Wang, Songtao Huang, Yue Liao, Hongru Wang, Mengyue Yang, Heng Ji, Michael Littman, Jun Wang, Shuicheng Yan, Philip Torr, Lei Bai.
    Preprint 2025 | arXiv
  • Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiency Scale Test-Time Compute.
    Jianhao Chen, Zishuo Xun, Bocheng Zhou, Qiaosheng Zhang, Yang Chen, Wei Hu, Yuzhong Qu, Wanli Ouyang, Shuyue Hu.
    Preprint 2025 | arXiv

(多智能体)强化学习和模仿学习

  • Trust Region Reward Optimization and Proximal Inverse Reward Optimization Algorithm.
    Yang Chen, Menglin Zou, Jiaqi Zhang, Yitan Zhang, Junyi Yang, Gaël Gendron, Libo Zhang, Jiamou Liu, Michael Witbrock
    NeurIPS 2025 | Video/Poster | arXiv | Code
    • Situational-Constrained Sequential Resources Allocation via Reinforcement Learning.
    Libo Zhang, Yang Chen, Toru Takisaka, Kaiqi Zhao, Weidong Li, Jiamou Liu
    IJCAI 2025 | arXiv
  • Multi-Agent, Human-Agent and Beyond: A Survey on Cooperation in Social Dilemmas.
    Hao Guo, Chunjiang Mu, Yang Chen, Chen Shen, Shuyue Hu, Zhen Wang.
    Neurocomputing 2024 | arXiv
  • Meta-Inverse Reinforcement Learning for Mean Field Games with Probabilistic Context Variables.
    Yang Chen, Xiao Lin, Bo Yan, Libo Zhang, Jiamou Liu, Neset Özkan Tan, Michael Witbrock.
    Thirty-Eighth AAAI Conference on Artificial Intelligence.
    AAAI 2024 | Video/Poster | arXiv ｜ Code
  • Density-based Correlated Equilibrium for Markov Games.
    Libo Zhang (equal contribution), Yang Chen (contact, equal contribution), Toru Takisaka, Bakh Khoussainov, Michael Witbrock, Jiamou Liu.
    The 22nd International Conference on Autonomous Agents and Multi-agent Systems.
    AAMAS 2023 | arXiv | Poster | Code
  • Adversarial Inverse Reinforcement Learning for Mean Field Games.
    Yang Chen, Libo Zhang, Jiamou Liu, Michael Witbrock.
    The 22nd International Conference on Autonomous Agents and Multi-agent Systems.
    AAMAS 2023 | arXiv | Poster | Slides
  • Interconnected Neural Linear Contextual Bandits with UCB Exploration.
    Yang Chen, Miao Xie, Jiamou Liu, Kaiqi Zhao.
    The 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining.
    PAKDD 2022
  • Individual-Level Inverse Reinforcement Learning for Mean Field Games.
    Yang Chen, Libo Zhang, Jiamou Liu, Shuyue Hu.
    The 21st International Conference on Autonomous Agents and Multi-agent Systems.
    AAMAS 2022 | arXiv
  • Social Capital Games as A Framework for Social Structural Pattern Emergence.
    Yang Chen, Jiamou Liu.
    2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.
    ASONAM 2020
  • Social Structure Emergence: A Multi-agent Reinforcement Learning Framework for Relationship Building.
    Yang Chen, Jiamou Liu, He Zhao, Hongyi Su.
    The 19th International Conference on Autonomous Agents and Multi-agent Systems.
    AAMAS 2020 (Extended Abstract) | Slides | Talk

多智能体行为模拟和仿真

  • Behaviour Modelling of Social Animals via Causal Structure Discovery and Graph Neural Networks.
    Gaël Gendron (co-first), Yang Chen (co-first), Mitchell Rogers, Yiping Liu, Mihailo Azhar, Shahrokh Heidari, David Arturo Soriano Valdez, Kobe Knowles, Padriac O'Leary, Simon Eyre, Michael Witbrock, Gillian Dobbie, Jiamou Liu and Patrice Delmas.
    The 23rd International Conference on Autonomous Agents and Multi-agent Systems.
    AAMAS 2024 (Extended Abstract) | arXiv
  • Meerkat Behaviour Recognition Dataset.
    Mitchell Rogers, Gael Gendron, David Soriano Valdez, Mihailo Azhar, Yang Chen, Shahrokh Heidari, Caleb Perelini, Padriac O'leary, Kobe Knowles, Izak Tait, Simon Eyre, Michael Wit- brock, Patrice Delmas.
    3rd Workshop on CV4Animals: Computer Vision for Animal Behavior Tracking and Modeling (in conjunction with CVPR 2023).
    arXiv | Dataset
  • MSDC: Non-intrusive Load Monitoring with a Dual-CNN Model.
    Jialing He, Jiamou Liu, Zijian Zhang, Yang Chen, Yiwei Liu, Bakh Khoussainov, Liehuang Zhu.
    Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23).
    AAAI 2023 | arXiv

自然语言处理和推理

  • Assessing and Enhancing the Robustness of Large Language Models with Task Structure Variations for Logical Reasoning.
    Qiming Bao, Gaël Gendron, Alex Peng, Wanjun Zhong, Neset Tan, Yang Chen, Michael Witbrock, Jiamou Liu.
    The 31st International Conference on Neural Information Processing.
    ICONIP 2024 | arXiv
  • Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning.
    Qiming Bao, Alex Yuxuan Peng, Zhenyun Deng, Wanjun Zhong, Gaël Gendron, Timothy Pistotti, Neset Tan, Nathan Young, Yang Chen, Yonghua Zhu, Paul Denny, Michael Witbrock, Jiamou Liu.
    The 62nd Annual Meeting of the Association for Computational Linguistics.
    ACL 2024 Findings | arXiv
  • Neuromodulation Gated Transformer.
    Kobe Knowles, Joshua Bensemann, Diana Benavides Prado, Vithya Yogarajan, Michael Wit- brock, Gillian Dobbie, Yang Chen.
    The Eleventh International Conference on Learning Representations. ICLR 2023 Tiny Papers.
    arXiv
  • Multi2Claim: Generating Scientific Claims from Multi-Choice Questions for Scientific Fact-Checking.
    Neset Tan, Trung Nguyen, Josh Bensemann, Alex Peng, Qiming Bao, Yang Chen, Mark Gahegan, Michael Witbrock.
    The 17th Conference of the European Chapter of the Association for Computational Linguistics.
    EACL 2023
  • Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering.
    Zhenyun Deng, Yonghua Zhu, Yang Chen, Michael Witbrock, Patricia Riddle.
    The 31st International Joint Conference on Artificial Intelligence.
    IJCAI 2022
  • Prompt-based Conservation Learning for Multi-hop Question Answering.
    Zhenyun Deng, Yonghua Zhu, Yang Chen, Qianqian Qi, Michael Witbrock, Patricia Riddle.
    The 29th International Conference on Computational Linguistics.
    COLING 2022 | arXiv
  • Eye Gaze and Self-attention: How Humans and Transformers Attend Words in Sentences.
    Joshua Bensemann, Alex Yuxuan Peng, Diana Benavides-Prado, Yang Chen, Nes ̧et Özkan Tan, Paul Michael Corballis, Patricia Riddle, and Michael Witbrock.
    Cognitive Modeling and Computational Linguistics (CMCL) 2022. An ACL 2022 Workshop.
    PDF
  • An explainability analysis of a sentiment prediction task using a transformer-based attention filter.
    Neset Özkan Tan, Joshua Bensemann, Diana Benavides-Prado, Yang Chen, Mark Gahegan, Lia Lee, Alex Yuxuan Peng, Patricia Riddle, Michael Witbrock.
    The Ninth Annual Conference on Advances in Cognitive Systems
    ACS 2021

图论和图神经网络

  • A Graph Transformer against Graph Perturbation by Flexible-pass Filter
    Yonghua Zhu, Jincheng Huang, Yang Chen, Robert Amor, Michael Witbrock.
    Journal of Information Fusion.
    Information Fusion
  • Robust Node Classification on Graph Data with Graph and Label Noise
    Yonghua Zhu, Lei Feng, Zhenyun Deng, Yang Chen, Robert Amor, Michael Witbrock.
    Thirty-Eighth AAAI Conference on Artificial Intelligence.
    AAAI 2024
  • Efficient Size-Prescribed k-Core Search
    Yiping Liu, Bo Yan, Bo Zhao, Hongyi Su, Yang Chen, Michael Witbrock.
    The 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.
    ASONAM 2023 | arXiv
  • Chain of Propagation Prompting for Node Classification.
    Yonghua Zhu, Zhenyun Deng, Yang Chen, Robert Amor, Michael Witbrock.
    ACM MultiMedia 2023.
    ACM MM 2023
  • A Reinforcement Learning Approach to Gaining Social Capital with Partial Observation
    He Zhao, Hongyi Su, Yang Chen (contact), Jiamou Liu, Hong Zheng, Bo Yan.
    The 16th Pacific Rim International Conference on Artificial Intelligence.
    PRICAI 2019
  • Dynamic Relationship Building: Exploitation Versus Exploration on a Social Network.
    Bo Yan, Yang Chen, Jiamou Liu.
    The 18th International Conference on Web Information Systems Engineering.
    WISE 2017 | Code
  • Can Reinforcement Learning Enhance Social Capital?
    He Zhao, Hongyi Su, Yang Chen, Jiamou Liu, Bo Yan, Hong Zheng.
    The International Workshop on Web Information Systems in the Era of AI. A WISE 2020 Workshop.
    WISE 2020
  • Distributed Community Detection over Blockchain Networks Based on Structural Entropy.
    Yang Chen, Jiamou Liu.
    The 2019 ACM International Symposium on Blockchain and Secure Critical Infrastructure (BSCI). An AsiaCCS Workshop.
    Best Paper Award | BSCI 2019 | PDF
  • Becoming Gatekeepers Together with Allies: Collaborative Brokerage over Social Networks.
    Yang Chen, Jiamou Liu.
    2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.
    ASONAM 2019 | Poster | Code
Plain Academic