个人简介：

  谢琦，女，博士，讲师，硕士生导师。2019年获大连海事大学学士学位，2025年获天津大学博士学位，2026年加入福州大学计算机与大数据学院。曾在IEEE TMC、IEEE TITS、IEEE IoTJ、IEEE SECON、IEEE ICCV等权威期刊和会议发表多篇学术论文。担任ACM MM、IEEE ToN、IEEE SmartIoT、IEEE RA-L等期刊/会议审稿人。

  研究方向：

  物联网、人工智能、智慧交通、多模态感知、目标检测、医工交叉

  主讲课程：

  面向对象分析与设计

  招生信息：

  目前正在招收2026级硕士研究生。欢迎勤奋好学，积极向上，具有良好英语能力与机器学习基础，对物联网、自动驾驶、边缘计算、多模态感知感兴趣的研究生和本科生联系我，欢迎你的加入！

  办公地址：福州大学旗山校区计算机与大数据学院2号楼220

  联系邮箱：xie_qi@fzu.edu.cn

  主要科研成果：

  [1] Qi Xie, Xiaobo Zhou, Tianyu Hong, Wenkai Hu, Wenyu Qu, and Tie Qiu. Twards Communication-efficient Cooperative Perception via Planning-oriented Feature Sharing. IEEE Transactions on Mobile Computing (TMC), 2024, 24 (4): 2551-2563. (CCF-A)

  [2] Qi Xie, Xiaobo Zhou, Chuanan Wang, Tie Qiu, and Wenyu Qu. KeyCoop: Communication-Efficient Raw-Level Cooperative Perception for Connected Autonomous Vehicles via Keypoints Extraction. 21st Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), 2024. (CCF-B)

  [3] Qi Xie, Xiaobo Zhou, Tianyu Hong, Tie Qiu, and Wenyu Qu. SwissCheese: Fine-Grained Channel-Spatial Feature Filtering for Communication-Efficient Cooperative Perception. IEEE Transactions on Intelligent Transportation Systems (TITS), 2024, 25(12): 21047-21059. (中科院一区)

  [4] Qi Xie, Xiaobo Zhou, Tie Qiu, Qingyu Zhang, and Wenyu Qu. Soft Actor-Critic-Based Multilevel Cooperative Perception for Connected Autonomous Vehicles. IEEE Internet of Things Journal (IoTJ), 2022, 9(21): 21370-21381. (中科院一区)

  [5] Yupeng Li, Qi Xie, Weixu Wang, Xiaobo Zhou, and Keqiu Li. GCN-Based Topology Design for Decentralized Federated Learning in IoV. 23rd Asia-Pacific Network Operations and Management Symposium (APNOMS), 2022. (CCF-C)

  [6] Xiaobo Zhou, Chuanan Wang, Qi Xie, and Tie Qiu. V2I-Coop: Accurate Object Detection for Connected Automated Vehicles At Accident Black Spots With V2I Cross-Modality Cooperation. IEEE Transactions on Mobile Computing (TMC), 2024, 24 (3): 2043-2055. (CCF-A)

  [7] Tinyu Hong, Xiaobo Zhou, Wenkai Hu, Qi Xie, Zhihui Ke, Tie Qiu. Communication-Efficient Multi-Vehicle Collaborative Semantic Segmentation via Sparse 3D Gaussian Sharing. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025. (CCF-A)