Xiaoxi HE何曉溪
Assistant Professor
Personal Homepage: https://www.hexiaoxi.xyz

Academic Qualifications

  • Dr. sc. in Electrical Engineering and Information Technology, ETH Zürich (2022)
  • M. sc. in Electrical Engineering and Information Technology, ETH Zürich (2017)
  • B. sc. in Electrical Engineering and Information Technology, Leibniz Universität Hannover (2015)

Research

Research Interests

  • Model compression & optimisation of neural networks
  • Deep learning theory
  • Sequential models and time series processing
  • Applications of deep learning in mobile computing

Publications

  • Wang, Zeyu, et al. “Stitching Weight-Shared Deep Neural Networks for Efficient Multitask Inference on GPU.” 2022 19th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON). IEEE, 2022.
  • Liu, Shu, et al. “Towards non-intrusive camera-based heart rate variability estimation in the car under naturalistic condition.” IEEE Internet of Things Journal (2021).
  • He, Xiaoxi, et al. “On-device deep multi-task inference via multi-task zipping.” IEEE Transactions on Mobile Computing (2021).
  • Gao, Dawei, et al. “Pruning meta-trained networks for on-device adaptation.” Proceedings of the 30th ACM International Conference on Information & Knowledge Management. 2021.
  • Liu, Shu, et al. “The empathetic car: Exploring emotion inference via driver behaviour and traffic context.” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5.3 (2021): 1-34.
  • He, Xiaoxi, et al. “Pruning-aware merging for efficient multitask inference.” Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. 2021.
  • Duan, Wenying, et al. “Injecting descriptive meta-information into pre-trained language models with hypernetworks.” (2021): 3216.
  • Gao, Dawei, et al. “Rethinking pruning for accelerating deep inference at the edge.” Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. 2020.
  • Cheng, Yun, et al. “MapTransfer: Urban air quality map generation for downscaled sensor deployments.” 2020 IEEE/ACM Fifth International Conference on Internet-of-Things Design and Implementation (IoTDI). IEEE, 2020.
  • Cheng, Yun, et al. “Ict: In-field calibration transfer for air quality sensor deployments.” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 3.1 (2019): 1-19.
  • Miedl, Philipp, et al. “Frequency scaling as a security threat on multicore systems.” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 37.11 (2018): 2497-2508.
  • He, Xiaoxi, Zimu Zhou, and Lothar Thiele. “Multi-task zipping via layer-wise neuron sharing.” Advances in Neural Information Processing Systems 31 (2018).

Contact Details

Faculty of Science and Technology
University of Macau, E11
Avenida da Universidade, Taipa,
Macau, China

Room: E11-3035
Telephone: (853) 8822-4037
Fax: (853) 8822-2426
Email: hexiaoxi