Biqing Qi is currently a XingQi Researcher at the Shanghai AI Lab and the Postdoctoral Fellow at the University of Hong Kong, collaborating with Professor Yi Ma. 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 Member of the Technology Center at the Chinese Academy of Engineering (CAE), a Committee Member for the National Supply Chain AI Application Platform, and a Member of the Embodied Intelligence Committee of the Chinese Information Processing Society. His research focuses on machine learning and natural language processing. He has published over 60 papers in top-tier conferences and journals, including NeurIPS, CVPR, ACL, and TPAMI, of which more than 20 are first-author or corresponding-author. Key contributions include: 1) Co-proposing the "General-Specialized Integration Intelligence" pathway towards AGI with Prof. Bowen Zhou's team, developing dynamic architectures such as Nirvana, and advancing hardware-software co-design and early stroke screening—work covered by People's Daily; 2) Proposing an interactive continual learning framework and the SDAR model, establishing a leading open-source implementation; 3) Pioneering the early validation of LLM-driven autonomous hypothesis generation, building the MARTI multi-agent training-inference system, and achieving significant breakthroughs in computational chemistry. His work has garnered significant media attention and has been implemented in leading technology companies such as Tencent, ByteDance, and Xianyuan. He has led two national major projects, one Shanghai municipal major project and one project under the National Natural Science Foundation of China.

齐弼卿，上海人工智能实验室星启研究员，港大博士后（合作导师马毅教授），哈工大、清华联培博士，博士生导师周伯文教授与吴立刚教授。现任中国工程院技术专班成员、国家供应链AI平台建设咨询委员会委员、中文信息学会具身智能专委会委员。长期致力于机器学习与自然语言处理前沿研究，在NeurIPS、CVPR、ACL、TPAMI等高水平会议期刊发表论文60余篇，其中第一/通讯作者论文20余篇。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路径，并研发Nirvana等动态通专架构，推动软硬件协同设计与脑卒中早期筛查，成果获《人民日报》报道；2）提出交互式持续学习框架驱动SDAR模型构建，建立领先开源实现，月下载超3万次；3）早期验证大模型驱动独立假设提出研究范式，构建MARTI多智能体训推一体系统，在计算化学领域取得Nature级别新发现。相关研究成果在腾讯、阿里、字节及天坛医院等落地闭环。主持4项国家重大课题（亿级）、上海市重大课题（亿级）及国家自然基金项目。

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.

-->

【来个实习生广告】上海人工智能实验室招聘大模型算法实习生，欢迎各位老师同学多多推荐，名额相对充裕 [跳跳]

【岗位名称】

• 上海人工智能实验室

• AI算法研究实习生 (大模型架构与学习方法)

• 联系人：齐弼卿 星启研究员

• 邮箱：[qibiqing@pjlab.org.cn]

【岗位介绍】

• 存算分离架构、层次化记忆架构、动态与弹性计算、多尺度概率建模与优化

• 面向实验室重大项目需求牵引，并会以此产生AI顶会及Nature子刊等

【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）

-->