Xueyu Hou
Assistant Professor, University of Maine
I will be an Assistant Professor in University of Maine from Fall 2024, where I will lead the CyPAIS (Cyber Physical AI System) Lab. My research interests are efficent LLM, embodied AI, and edge computing. My CV
I am looking for self-motivated Ph.D. students with hands-on experiences to build practical systems for Augmented Reality, immersive video streaming, robotic and edge computing. Please contact me if you are interested in working in my group.
Education
New Jersey Institute of Technology
University of North Carolina Charlotte
Xi’an Jiaotong University
Xi’an Jiaotong University
Xi’an Jiaotong University
Reseach Experience
Research Assistant
1.Efficient AI on mobile and edge platforms.
2.Deep learning based applications on collaborative edge.
3.Metaverse on networked head mounted devices.
4.Edge computing solutions for live embodied AI.
5.Environmentally-friendly mobile/edge AI driven by green energy.
Research Assistant
1.Compression of deep neural networks for mobile and edge platforms.
2.Authentication of deep neural networks for remote services.
3.Resource orchestration on mobile platforms and network.
Publication
1. Yongjie Guan*, Xueyu Hou*, Nan Wu, Bo Han, and Tao Han, "MetaStream: Live Volumetric Content Capture, Creation, Delivery, and Rendering in Real Time" in Proceedings of the 29th Annual International Conference on Mobile Computing and Networking (MobiCom), pp. 1-15. 2023. Paper Link
2. Xueyu Hou, Yongjie Guan, and Tao Han, “Dystri: A Dynamic Inference based Distributed DNN Service Framework on Edge,” in Proceedings of the 52nd International Conference on Parallel Processing (ICPP),pp. 625-634. 2023. Paper Link
3. Xueyu Hou*, Yongjie Guan*, and Tao Han, “NeuLens: spatial-based dynamic acceleration of convolutional neural networks on edge,” in Proceedings of the 28th Annual International Conference on Mobile Computing And Networking (MobiCom), pp. 186-199. 2022. Paper Link
4. Xueyu Hou, Yongjie Guan, Tao Han, and Ning Zhang, “DistrEdge: Speeding up convolutional neural network inference on distributed edge devices,” in 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS), pp. 1097-1107. IEEE, 2022. Paper Link
5. Xueyu Hou, and Tao Han, “TrustServing: A quality inspection sampling approach for remote DNN services,” in 2020 17th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), pp. 1-9. IEEE, 2020. Paper Link
6. Xueyu Hou, Dushan Boroyevich, and Rolando Burgos, “Characterization on latest-generation SiC MOSFET’s body diode,” in 2016 IEEE 4th Workshop on Wide Bandgap Power Devices and Applications (WiPDA), pp. 247-252. IEEE, 2016. Paper Link
7. Yongjie Guan, Xueyu Hou, Nan Wu, Bo Han, and Tao Han, “DeepMix: mobility-aware, lightweight, and hybrid 3D object detection for headsets,” in Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services (MobiSys), pp. 28-41. 2022. Paper Link
8. Yongjie Guan, Xueyu Hou, Tao Han, and Sheng Zhang, “Deepmix: A real-time adaptive virtual content registration system with intelligent detection,” in IEEE INFOCOM 2021-IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pp. 1-2. IEEE, 2021. Paper Link
9. Shaodi Ouyang, Jinjun Liu, Xinyu Wang, Shuguang Song, and Xueyu Hou, “Comparison of four power electronic transformer topologies on unbalanced load correction capacity,” in 2015 IEEE Energy Conversion Congress and Exposition (ECCE), pp. 3702-3709. IEEE, 2015. Paper Link
10. Shaodi Ouyang, Jinjun Liu, Xinyu Wang, Shuguang Song, Xueyu Hou, and Teng Wu, “A single phase power electronic transformer considering harmonic compensation in scott traction system,” in 2015 9th International Conference on Power Electronics and ECCE Asia (ICPE-ECCE Asia), pp. 2620-2627. IEEE, 2015. Paper Link
11. Zeng Liu, Jinjun Liu, Xueyu Hou, Qingyun Dou, Danhong Xue, and Teng Liu, “Output impedance modeling and stability prediction of three-phase paralleled inverters with master–slave sharing scheme based on terminal characteristics of individual inverters,” IEEE Transactions on Power Electronics 31, no.7 (2015): 5306-5320. Paper Link
Skills
Interests
I enjoy most of my time outdoors. During the warmer months here in New Jersey, I am a hiker and an amateur photographer. During the colder months here in New Jersey, I enjoy photoing, and animal observing in the mountains and seaside.
When forced indoors, I enjoy baking cakes, painting, and reading.
Awards
- ACM ICPP 2023 National Science Foundation Student Travel Grant
- ACM MobiCom 2022 National Science Foundation Student Travel Grant