郭楷文

郭楷文
讲师基本信息
2024年12月于中国科学技术大学获得工学博士学位,导师为李向阳教授(ACM/IEEE Fellow),毕业后加入中国海洋大学郭忠文教授团队。 主要研究方向为智能物联网、无线感知、普适计算和工业智能等。 目前已在IEEE TMC, IEEE INFOCOM, ACM SenSys, IEEE SECON, IEEE/ACM IWQoS等国际会议和期刊上发表学术论文近20篇。
更多信息详见:https://kevinguoustc.github.io/ 招生简介:本人将招收2026年9月入学的研究生作为开门弟子,会投入百分百的心血,目前名额充裕! 同时非常欢迎本科生参与科研工作! 诚挚欢迎有志于智能物联网、无线感知、普适计算与工业智能领域的优秀学子加入,团队可提供扎实的科研支撑平台,包括国家级人才高水平科研指导、充足的软硬件科研资源以及广泛的国内外学术界产业界合作机会。
优秀的同学可推荐至大厂工作、顶尖高校继续深造等,欢迎邮件联系!
论文
1. MultiHGR: Multi-Task Hand Gesture Recognition with Cross-Modal Wrist-Worn Devices, IEEE International Conference on Computer Communications (INFOCOM), 2024, CCF-A,
2. SGSM: Semi-generalist Sensing Model Combining Handcrafted and Deep Learning Methods, International Journal of Machine Learning and Cybernetics, 2024, JCR-Q2,
3. SGSM: A Foundation-model-like Semi-generalist Sensing Model, International Workshop on Quality of Service (IWQoS), 2024, CCF-B,
4. WowSense: A High-Accuracy Real-Time Grip-State Sensing on Commodity Smartphones, International Conference on Mobility, Sensing and Networking (MSN), 2024, CCF-C,
5. InOut: Lightweight Transferable Multimodal Indoor-Outdoor Detection System with Smartphones, International Conference on Mobility, Sensing and Networking (MSN), 2024, CCF-C,
6. PianoWatch: An Intelligent Piano Understanding and Evaluation System Using Smartwatch, IEEE International Conference on Sensing, Communication, and Networking (SECON), 2023, CCF-B,
7. Mudra: A Multi-Modal Smartwatch Interactive System with Hand Gesture Recognition and User Identification, IEEE International Conference on Computer Communications (INFOCOM), 2022, CCF-A,
8. Shield: Safety Ensured High-efficient Scheduling for Magnetic MIMO Wireless Power Transfer System, IEEE International Conference on Computer Communications (INFOCOM), 2022, CCF-A,
9. HideSeeker: Uncover the Hidden Gems in Obfuscated Images, ACM Conference on Embedded Networked Sensor Systems (SenSys), 2022, CCF-B,
10. IMFi: IMU-WiFi based Cross-modal Gait Recognition System with Hot-Deployment, International Conference on Mobility, Sensing and Networking (MSN), 2021, CCF-C,
11. FD-Band: A Ubiquitous Fall Detection System Using Low-Cost COTS Smart Band, International Conference on Mobility, Sensing and Networking (MSN), 2020, CCF-C,