• 2022年9月–2026年4月：穆罕默德·本·扎耶德人工智能大学（Mohamed bin Zayed University of Artificial Intelligence, MBZUAI），机器学习，博士学位（全日制）
   

工作经历：

• 2026年至今：深圳河套学院（Shenzhen Loop Area Institute, SLAI），助理教授，深圳，中国。
• 2020年12月–2022年6月：网易游戏，高级数据挖掘研究员，广州，中国。
• 2019年10月–2020年12月：Mobvista，高级机器学习工程师，广州，中国。
• 2016–2017年：南方电网中央研究院，信息安全研究员，广州，中国。
• 2011–2016年：广东省电力设计院，IT工程师，广州，中国。

姚天峻，现任深圳河套学院（Shenzhen Loop Area Institute, SLAI）助理教授，2026年获穆罕默德·本·扎耶德人工智能大学（MBZUAI）机器学习博士学位。主要研究方向包括自我改进智能体、多智能体系统、大语言模型高效推理、机器学习泛化与图机器学习。曾在网易游戏和 Mobvista 等公司从事数据挖掘与机器学习研究，相关成果发表于相关国际学术会议。

1. Tianjun Yao, Yongqiang Chen, Yujia Zheng, Pan Li, Zhiqiang Shen, Kun Zhang. ParamMem: Augmenting Language Agents with Parametric Reflective Memory.
   International Conference on Machine Learning (ICML), 2026.
2. Tianjun Yao, Zhaoyi Li, Zhiqiang Shen.
   HieraMAS: Optimizing Intra-Node LLM Mixtures and Inter-Node Topology for Multi-Agent Systems.
   International Conference on Machine Learning (ICML), 2026.
3. Tianjun Yao, Haoxuan Li, Zhiqiang Shen, Pan Li, Tongliang Liu, Kun Zhang. REL-RAG: Relation-Aware Retrieval-Augmented Generation for Generalizable Knowledge Graph Question Answering.
   ICML GFM Workshop, 2026.
4. Haocheng Yang, Fengxiang Cheng, Tianjun Yao, Jiajun Chai, Xiaohan Wang, Guojun Yin, Wei Lin, Mengyue Yang, Yisen Wang, Fenrong Liu, Haoxuan Li, Soummya Kar.
   Enhancing Complex Symbolic Logical Reasoning of Large Language Models via Sparse Multi-Agent Debate.
   International Conference on Learning Representations (ICLR), 2026.
5. Tianjun Yao, Haoxuan Li, Yongqiang Chen, Tongliang Liu, Le Song, Eric Xing, Zhiqiang Shen.
   Pruning Spurious Subgraph for Graph Out-of-Distribution Generalization. Advances in Neural Information 
   Processing Systems (NeurIPS), 2025.
6. Tianjun Yao, Yongqiang Chen, Zhenhao Chen, Kai Hu, Zhiqiang Shen, Kun Zhang.
   Learning Graph Invariance by Harnessing Spuriosity. 
   International Conference on Learning Representations (ICLR), 2025.
7. Tianjun Yao, Yongqiang Chen, Zhenhao Chen, Kai Hu, Zhiqiang Shen, Kun Zhang.
   Empowering Graph Invariance Learning with Deep Spurious Infomax.
   International Conference on Machine Learning (ICML), 2024.
8. Tianjun Yao, Jiaqi Sun, Defu Cao, Kun Zhang, Guangyi Chen.
   MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification.
   The Web Conference (WWW), 2024.
9. Kai Hu, Weichen Yu, Tianjun Yao, Xiang Li, Wenhe Liu, Lijun Yu, Yining Li, Kai Chen, Zhiqiang Shen, Matt Fredrikson.
   Efficient LLM Jailbreak via Adaptive Dense-to-Sparse Constrained Optimization.
   Advances in Neural Information Processing Systems (NeurIPS), 2024.
10. Tianjun Yao, Yingxu Wang, Kun Zhang, Shangsong Liang.
    Improving the Expressiveness of K-hop Message-Passing GNNs by Injecting Contextualized Substructure Information.
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023.