现为williamhill官网计算机系助理教授，特聘副研究员，人工智能研究院双聘导师。2007年、2009年于国防科学技术大学计算机学院计算机科学与技术学科（教育部评估A+）获得学士和硕士学位。2015年博士毕业于荷兰代尔夫特理工大学，2015年至2020年担任国防科学技术大学计算机学院（教育部评估A+）助理研究员，原天河超级计算机团队成员，参与多项国家重大科研任务研发。在NeurIPS, CVPR, AAAI, MM, INFOCOM, CIKM, WWW, TOMM, ToN, TKDD, Computer Networks, ICASSP, NOSSDAV, CCGrid, EuroPar, NetGames, MMVE等国际知名会议、期刊上公开发表了多篇学术论文，担任多个期刊、会议组委会委员及审稿人。目前主要从事多智能体感知与计算（多智能体强化学习，AI Agents, 人体动作与场景捕捉及生成，视觉定位等）相关领域的研究。
指导毕业的硕士生均在一线IT企业/国企（阿里、百度、电信等）或继续攻读博士学位。招收硕士生和对科研感兴趣的本科生，欢迎对本人研究方向感兴趣的同学联系我。更多信息请查看个人主页：https://asc.xmu.edu.cn/t/shensiqi。
1. 算法设计与分析 A（计算机科学与技术专业本科生核心必修课），2022至今
2. 操作系统实验课（计算机科学与技术专业本科生必修课），2021年
1. 多智能体协同
2. 国家体育总局奥运夺冠科技项目1项：人体动作捕捉技术研究
3. 国家自然科学基金青年基金：网络虚拟关键技术研究
4. 国家重点实验室基金4项：基于强化学习的研究，高效强化学习技术研究，推理框架优化技术，人员识别技术
5. 厦大校长基金2项：多智能体强化学习等
[NeurIPS’22] Siqi Shen, Mengwei Qiu, Jun Liu, Weiquan Liu, Yongquan Fu*, Xinwang Liu, Cheng Wang, ResQ: A Residual Q Function-based Approach for Multi-Agent Reinforcement Learning Value Factorization, CCF A, Spotlight, 厦大我院首篇NeurIPS亮点论文
[NeurIPS’23] Siqi Shen, Chennan Ma, Chao Li, Weiquan Liu, Yongquan Fu*, Songzhu Mei, Xinwang Liu, Cheng Wang, RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization, CCF A
[NeurIPS’23] Xiuhong Lin, Changjie Qiu, Zhipeng Cai, Siqi Shen*, Yu Zang, Weiquan Liu, Xuesheng Bian, Matthias Müller, Cheng Wang, E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learning, CCF A
[CVPR’23] Ming Yan, Xin Wang, Yudi Dai, Siqi Shen*, Chenglu Wen, Lan Xu, Yuexin Ma, Cheng Wang, CIMI4D: A Large Multimodal Climbing Motion Dataset under Human-scene Interactions, CCF A
[AAAI’24] Kezheng Xiong, Maoji Zheng, Qingshan Xu, Chenglu Wen*, Siqi Shen*, Cheng Wang, SPEAL: Skeletal-Prior Embedded Attention Learning for Cross-Source Point Cloud Registration, CCF A
[AAAI’24] Jinyi Zhang, Qihong Mao, Siqi Shen, Guosheng Hu, Cheng Wang, Neighborhood-enhanced 3D Human Pose Estimation with Monocular LiDAR in Long-range Outdoor Scenes, CCF A, Oral
[CVPR’23] Yudi Dai, YiTai Lin, XiPing Lin, Chenglu Wen*, Lan Xu, Hongwei Yi, Siqi Shen, Yuexin Ma, Cheng Wang, SLOPER4D: A Scene-Aware Dataset For Global 4D Human Pose Estimation In Urban Environments, CCF A
[CVPR’23] Wen Li, Shangshu Yu, Cheng Wang, Guosheng Hu, Siqi Shen, Chenglu Wen, SGLoc: Scene Geometry Encoding for Outdoor LiDAR Localization, CCF A
[ToN’23] Yongquan Fu, Lun An, Siqi Shen*, Kai Chen*, Pere Barlet-Ros, A One-pass Clustering based Sketch Method for Network Monitoring, IEEE/ACM Transactions on Networking (ToN), CCF A
[AAAI’23] Zheng Wang, Xiaoliang Fan*, Jianzhong Qi, Haibing Jin, Peizhen Yang, Siqi Shen, Cheng Wang, FedGS: Federated Graph-based Sampling with Arbitrary Client Availability, CCF A，Oral
[CVPR’22] Yudi Dai, YiTai Lin, Chenglu Wen, Siqi Shen, Lan Xu, Jingyi Yu, Yuexin Ma, Cheng Wang, HSC4D: Human-centered 4D Scene Capture in Large-scale Indoor-outdoor Space Using Wearable IMUs and LiDAR, CCF A
[CVPR’22] Jialian Li Jingyi Zhang, Zhiyong Wang, Siqi Shen, Chenglu Wen, Yuexin Ma, Lan Xu, Jingyi Yu, Cheng Wang, LiDARCap: Long-range Marker-less 3D Human Motion Capture with LiDAR Point Clouds, CCF A
[ICASSP’22] Siqi Shen, Jun Liu, Mengwei Qiu, Weiquan Liu, Cheng Wang*, Yongquan Fu*, Qinglin Wang, Peng Qiao, QRelation: An Agent Relation-Based Approach for Multi-Agent Reinforcement Learning Value Function Factorization, CCF B
[INFOCOM’21] Yongquan Fu, Lun An, Siqi Shen*, Kai Chen*, Pere Barlet-Ros, Jellyfish: Locality-sensitive Subflow Sketching, CCF A
[ICASSP’21] Siqi Shen, Yongquan Fu*, Huayou Su, Hengyue Pan, Peng Qiao, Yong Dou, Cheng Wang*, GRAPHCOMM: A GRAPH NEURAL NETWORK BASED METHOD FOR MULTI-AGENT REINFORCEMENT LEARNING, CCF B