Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Sizhen Bian

Northwestern Polytechnical University

China

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Articles (31)

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Collaborators (7)

Michele Magno

ETH Zürich

SWITZERLAND

View details

David Cuartielles

Head of IDM programme

Malmö University

SWEDEN

View details

Pietro Bonazzi

ETH Zürich

SWITZERLAND

View details

Kai Kunze

Professor

Keio University

JAPAN

View details

Sungho Suh

Assistant Professor

Korea University

SOUTH KOREA

View details

Paul Lukowicz

GERMANY

View details

Berit Greinke

Professor

GERMANY

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Sizhen Bian

Research Interests

Make your next move.

Articles (31)

LoftSense: Volumetric Filling-as-Sensing for Wearable Interactions in Filled Garments

AutoResearcHAR: A Multi-Agent Framework for Dataset Adaptive IMU Based Human Activity Recognition

Human-Computer Co-Regulation: A Review of Biofeedback for Meditative Practice

Foundation Models Defining A New Era In Sensor-based Human Activity Recognition: A Survey And Outlook

Optimizing Energy Consumption and Coverage in Underwater Magnetic Induction-Assisted Acoustic WSNs Using Learning Automata-Based Cooperative MIMO Formation

Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLO

ODISI: On-Device Intelligence for Smart Interactions

Passive Body-Area Electrostatic Field (Human Body Capacitance) for Ubiquitous Computing

From Neck to Head: Bio-Impedance Sensing for Head Pose Estimation

TinierHAR: Towards Ultra-Lightweight Deep Learning Models for Efficient Human Activity Recognition on Edge Devices

iBreath: Usage of Breathing Gestures as Means of Interactions MHCI016

Facial Gesture Recognition Using Bio-impedance Sensing

Assessing the Impact of Sampling Irregularity in Time Series Data: Human Activity Recognition As A Case Study

Collaborative Human Activity Recognition with Passive Inter-Body Electrostatic Field

Efficient Continual Learning in Keyword Spotting using Binary Neural Networks

Hybrid CNN-Dilated Self-attention Model Using Inertial and Body-Area Electrostatic Sensing for Gym Workout Recognition, Counting, and User Authentification

Optimization of An Induced Magnetic Field-Based Positioning System

Body-Area Capacitive or Electric Field Sensing for Human Activity Recognition and Human-Computer Interaction

Worker Activity Recognition in Manufacturing Line Using Near-Body Electric Field

Energy-efficient, low-latency, and non-contact eye blink detection with capacitive sensing

Evaluation of Encoding Schemes on Ubiquitous Sensor Signal for Spiking Neural Network

ColibriES: A Milliwatts RISC-V Based Embedded System Leveraging Neuromorphic and Neural Networks Hardware Accelerators for Low-Latency Closed-loop Control Applications

ColibriUAV: An Ultra-Fast, Energy-Efficient Neuromorphic Edge Processing UAV-Platform with Event-Based and Frame-Based Cameras

Fully Automatic Gym Exercises Recording: An IoT Solution

The State-of-the-Art Sensing Techniques in Human Activity Recognition: A Survey

MoCaPose

A Systematic Study of the Influence of Various User Specific and Environmental Factors on Wearable Human Body Capacitance Sensing

Using Privacy Respecting Sound Analysis to Improve Bluetooth Based Proximity Detection for COVID-19 Exposure Tracing and Social Distancing

Induced Magnetic Field-Based Indoor Positioning System for Underwater Environments

Social Distance Monitor with a Wearable Magnetic Field Proximity Sensor

Wearables to Fight COVID-19: From Symptom Tracking to Contact Tracing

Collaborators (7)

Michele Magno

David Cuartielles

Pietro Bonazzi

Kai Kunze

Sungho Suh

Paul Lukowicz

Berit Greinke

Make your next move.