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Qinfeng Xiao

About

I am currently a Phd student of the Hong Kong Polytechnic University (PolyU), supervised by Prof. Kit Lun Yick in AiDLAB and Prof. Bo Yang. Before that, I was a machine learning engineer at XiaoMi Inc. I received my Master’s degree from the Department of Computer Science, Beijing Jiaotong University, under the supervision of Prof. Jing Wang. My research interests include 3D vision (3D registration, generation and interpolation), unsupervised/self-supervised learning and deep learning methods for time-series data.

I am actively looking for cooperation regarding my recent ongoing research topics, e.g. 3D shape matching, 3D interoplation and 3D generation. If you are interested, please feel free to contact me!

Work Experience

Machine Learning Engineer - XiaoMi Inc. (2021 - 2023)

I’m responsible for developing state-of-the-art algorithms of real-world problems applied on wearable devices, including:

  • energy expenditure prediction based on Transformer and multi-task learning;

  • Xiaomi IoT application: smart TV controlling using wearable devices and gesture recognition;

  • smart watch fall detection with wearable device sensors, e.g. accelerator and gyroscope;

  • smart fitness assessment based on collected physilogical data, e.g. heartrate, breathing rate, pressure and tracking
    data;

Research Assistant - Hong Kong Polytechnic University (2023.4 - 2023.9)

Projects

Publications

2021

  • Jianan Ye*, Qinfeng Xiao*. CoSleep: A Multi-view Representation Learning Framework for Self-Supervised Learning of Sleep Stage Classification. IEEE Signal Processing Letters, 2021. (* equal contribution) [Code | Paper]

  • Qinfeng Xiao. Self-Supervised Learning for Sleep Stage Classification with Predictive and Discriminative Contrastive Coding. The International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2021. [Code | Paper]

  • Qinfeng Xiao. Unsupervised Anomaly Detection with Distillated Teacher-Student Network Ensemble. Entropy, 2021. [Code | Paper]

  • Yunxiao Liu, Youfang Lin, Qinfeng Xiao, Ganghui Hu, Jing Wang. Self-adversarial Variational Autoencoder with Spectral Residual for Time Series Anomaly Detection. Neurocomputing, 2021. [Paper]

  • Qinfeng Xiao, Shikuan Shao, Jing Wang. Memory-augmented Adversarial Autoencoders for Multivariate Time-series Anomaly Detection with Deep Reconstruction and Prediction. ArXiv, 2021. [Paper]

2020 and Before

  • Jing Tang, Qinfeng Xiao, Zhiguo Gui, Baosheng Li, Pengcheng Zhang. Simulation of Proton-Induced DNA Damage Patterns Using an Improved Clustering Algorithm. Radiation Research, 2020. [Paper]