Biqing Qi is currently a research scientist at the Shanghai AI Lab. He received his Ph.D. from the Key Laboratory of Autonomous Intelligent Unmanned Systems (AIUS) at Harbin Institute of Technology, under the joint supervision of the Center for Collaborative & Conversational Intelligence (C3I) at Tsinghua University, guided by Professors Bowen Zhou and Ligang Wu. He serves as a committee member of the Embodied Intelligence Committee of the Chinese Information Processing Society, with his research focusing on machine learning theory, foundational models, and human-machine collaborative systems. His research has contributed to over 30 publications in top-tier conferences and journals, including NeurIPS, CVPR, ICLR, ACL, AAAI, EMNLP, NAACL, TNNLS, and TCSVT. His contributions include: 1) Co-developing the "General-Specialized Integration Intelligence" pathway for AGI with Professor Zhou Bowen's team; 2) Introducing the concept and framework of interactive continual learning from the perspectives of System 1 and System 2; and 3) Pioneering the validation of a research paradigm for independent hypothesis generation driven by large language models (LLMs). His work has garnered significant media attention and has been implemented in leading technology companies such as Tencent, ByteDance, and Xianyuan. Additionally, he has played a pivotal role in more than ten major projects, including two under the Ministry of Science and Technology's 2030 Key Special Project, two major R&D initiatives, and several key projects funded by the National Natural Science Foundation. He has led a Shanghai Municipal Science and Technology Commission project and has been selected for an overseas dispatch program.

齐弼卿，上海人工智能实验室青年科学家，哈工大、清华联培博士，博士生导师周伯文与吴立刚教授。中文信息学会具生智能专委会委员，研究领域包括可持续机器学习理论、基础模型及人机协同系统。在NeurIPS、CVPR、ICLR、ACL、AAAI、EMNLP、NAACL、TNNLS、TCSVT等国际高水平学术期刊和会议上发表论文30余篇。其主要贡献包括：1）与周伯文教授团队共同提出“通专融合智能”AGI发展路径；2）提出交互式持续学习概念与框架：系统和系统2视角；3)首次验证大模型驱动独立假设提出的研究范式，相关成果受到多家媒体关注与报道，并在腾讯、字节、衔远等科技公司落地应用。作为核心骨干，参与了十余项国家级重大科研项目，包括科技部2030重点专项、国家重大研发计划项目及国家自然科学基金重点项目等，作为课题负责人推动上海科委XX项目（亿级），并入选海外外派人才项目。

If you are seeking any form of academic collaborations with Shanghai AI Lab or AIUS, SCIR Lab at HIT and Tsinghua C3I Lab, please feel free to email me at qibiqing7@gmail.com or qibiqing@pjlab.org.cn.

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【来个实习生广告】上海人工智能实验室招聘大模型驱动的群体智能方向实习生，欢迎各位老师同学多多推荐，名额充裕 [跳跳]

【岗位名称】

• 上海人工智能实验室

• AI算法研究实习生 (大模型与多智能体方向)

• 联系人：齐弼卿 青年科学家

• 邮箱：[qibiqing@pjlab.org.cn]

【岗位介绍】

• 群体智能的理论分析、模型高效压缩重组技术、高效多模型协同推理机制、大模型驱动的群体智能系统设计。

• 研究框架可参考我们关于通专融合理念的position paper https://arxiv.org/pdf/2407.08642

• 面向文章发表：AI顶会及Nature 子刊等顶级期刊

【岗位要求】

• 良好的文献阅读能力与算法复现能力。

• 熟悉Python编程语言，Pytorch框架或其他深度学习框架。

• 至少能连续参加6个月的实习工作。

【加分项】

• 在顶级会议或期刊上发表过自然语言处理、计算机视觉、多模态等相关领域论文；
• 具有开源项目经验或AI相关竞赛的成绩。

【我们将提供】

• 充沛的AI计算资源、AI行业内知名专家的指导
• 对于优秀实习生，将提供转正或推荐读博机会（包括周伯文教授清华课题组等）

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