教育经历：

• 2012-2016：哈尔滨工业大学 计算机科学与技术 博士学位
• 2010-2012：哈尔滨工业大学 计算机科学与技术 硕士学位

工作经历：

• 2024-至今：哈尔滨工业大学（深圳）计算机学院 教授
• 2022-2024：哈尔滨工业大学（深圳）计算机学院 副教授
• 2019-2022：哈尔滨工业大学（深圳）计算机学院 助理教授

户保田，博士，教授/博导，中国中文信息学会大模型与生成专委会秘书长，国家优青，主要从事以语言为中心的大模型与智能体方面的研究，包括基座大模型的新型架构/学习机制、全模态大模型、大模型智能体等大模型时代的新问题、新方法，发表NeurIPS/ACL/TPAMI/ICLR/ICML等学术会议或期刊论文100余篇，单篇一作最高引用1800+。主持国家自然科学基金优青/面上/青年、华为/腾讯/百度等项目十余项。担任IJCNLP-AACL2023程序委员会联合主席，Neural Networks编委，多个顶级学术会议包括ACL、EMNLP、IJCAI的领域主席(AC)和高级程序委员会成员(SPC)，欢迎科研合作与优秀学生报考。

1. Xinping Zhao, Xinshuo Hu, Zifei Shan, Shouzheng Huang, Yao Zhou, Zetian Sun, Zhenyu Liu, Dongfang Li, Xinyuan Wei, Qian Chen, Youcheng Pan, Yang Xiang, Meishan Zhang, Haofen Wang, Jun Yu, Baotian Hu*, Min Zhang. KaLM-Embedding-V2: Superior Training Techniques and Data Inspire A Versatile Embedding Model. International Conference on Learning Representations (ICLR), 2026 (CCF A 类，DOI: 10.48550/arXiv.2506.20923)

2. Yunxin Li, Xinyu Chen, Shenyuan Jiang, Haoyuan Shi, Zhenyu Liu, Xuanyu Zhang, Nanhao Deng, Zhenran Xu, Yicheng Ma, Meishan Zhang, Baotian Hu*, Min Zhang*. Uni-MoE-2.0-Omni: Scaling Language-Centric Omnimodal Large Model with Advanced MoE, Training and Data. arXiv preprint arXiv:2511.12609, 2025 (DOI: 10.48550/arXiv.2511.12609)

3. Zhenyu Liu, Yunxin Li, Xuanyu Zhang, Qixun Teng, Shenyuan Jiang, Xinyu Chen, Haoyuan Shi, Jinchao Li, Qi Wang, Haolan Chen, Fanbo Meng, Mingjun Zhao, Yu Xu, Yancheng He, Baotian Hu*, Min Zhang. UniMoE-Audio: Unified Speech and Music Generation with Dynamic-Capacity MoE. arXiv preprint arXiv:2510.13344, 2025 (DOI: 10.48550/arXiv.2510.13344)

4. Yunxin Li, Shenyuan Jiang, Baotian Hu*, Longyue Wang, Wanqi Zhong, Wenhan Luo, Lin Ma, Min Zhang. Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025 (CCF A 类， DOI: 10.48550/arXiv.2405.11273)

5. Haoyuan Shi, Yunxin Li, Xinyu Chen, Longyue Wang, Baotian Hu*, Min Zhang*. AniMaker: Multi-Agent Animated Storytelling with MCTS-Driven Clip Generation. Siggraph Asia, 2025 (CCF-A类，DOI: 10.48550/arXiv.2506.10540)

6. Yunxin Li, Baotian Hu*, Haoyuan Shi, Wei Wang, Longyue Wang, Min Zhang*. VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual Context. International Conference on Machine Learning (ICML), 2024 (CCF A 类， DOI: 10.48550/arXiv.2405.04950)

7. Dongfang Li, Zhenyu Liu, Xinshuo Hu, Zetian Sun, Baotian Hu*, Min Zhang. In-Context Learning State Vector with Inner and Momentum Optimization. Neural Information Processing Systems (NeurIPS), 2024 (CCF A 类, DOI: 10.48550/arXiv.2404.11225)

8. Yuxiang Wu*, Baotian Hu*. Learning to Extract Coherent Summary via Deep Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence, 2018 (CCF A 类，DOI: 10.1609/aaai.v32i1.11987)

9. Baotian Hu, Qingcai Chen, Fangze Zhu. LCSTS: A Large-Scale Chinese Short Text Summarization Dataset. Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2015 (CCF B 类，DOI: 10.18653/v1/D15-1229)

10. Baotian Hu*, Zhengdong Lu, Hang Li, Qingcai Chen. Convolutional Neural Network Architectures for Matching Natural Language Sentences. Neural Information Processing Systems (NeurIPS), 2014 (CCF A 类，JCR Q1, DOI: 10.48550/arXiv.1503.03244)