Mingke Wang

dblp:323/2704 · DBLP profile ↗
← Back
9ranked-venue papers
3as first author
9since 2021 · last 2026
—ORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 6 · 2 first-author · 6 since 2021Artificial intelligence and machine learning · 1 · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 first-author · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 since 2021
YearPublicationVenuePosition
2026 Holding MenstaRay: Expressing Menstrual Pain through Tactile and Knitted Soft Robotic Interactions
abstract
Menstrual pain is an embodied, unpredictable, and diverse lived experience. However, current menstrual tracking technologies mainly adopt medicalised and quantitative approaches, reducing pain to numerical data, concealing its organic and messy nature. To uncover the felt, lived experience of pain, we explored soft robotics as a tactile, dynamic medium. Through a series of material workshops, we designed MenstaRay, a novel artefact that mimics the temporality and fluctuations of menstrual pain. Findings from sensory interactions with MenstaRay show that soft robotic materials sensitise and enhance menstruators’ bodily awareness, supporting them in contextually recalling, introspecting, and reflecting on their pain experiences, and encouraging a sense of self-care, self-acceptance, and companionship toward menstrual pain. We frame MenstaRay’s dynamic entanglements with fluid bodily experiences as a meaningful material practice through a feminist lens, highlighting the creative potential of novel programmable interactions of knitted soft robotics to express nuanced pain characteristics, extending to other somatic experience design beyond menstruation.
Yixun Li, Mingke Wang, Imogen A. Young, Rebecca Stewart, Bettina Nissen
CHI2
2026 MagLens: Bringing Mobile, Fine-Grained Imaging to Ferrous Building Structures
abstract
Fine-grained inspection of ferrous structures, such as steel rebars and iron pipes, is essential for ensuring structural health/integrity. However, existing non-destructive imaging techniques often suffer from coarse spatial resolution, high operational costs, and limited mobility support, hence severely restricting their practical deployment. For example, ground-penetrating radar (GPR), constrained by its operating wavelength, cannot resolve sub-centimeter features or recover fine contours of embedded ferrous structures.
Jike Wang, Yasha Iravantchi, Mingke Wang, Alanson Sample, Kang G. Shin, Xinbing Wang, Dongyao Chen
SenSys3
2025 A multi-teacher knowledge distillation-based framework for long-term respiratory monitoring and prediction with a novel flexible wearable sensor in healthcare engineering
Qing Wang 0059, Haoke Liu, Mingke Wang, Suiyuan Zhu, Harry Qin
Eng. Appl. Artif. Intell.4
2023 METRO: Magnetic Road Markings for All-weather, Smart Roads
abstract
Road surface markings, like symbols and line markings, are vital traffic infrastructures for driving safety and efficiency. However, real-world conditions can impair the utility of existing road markings. For example, adverse weather conditions such as snow and rain can quickly obliterate visibility.
Jike Wang, Shanmu Wang, Yasha Iravantchi, Mingke Wang, Alanson P. Sample, Kang G. Shin, Xinbing Wang, Chenghu Zhou, Dongyao Chen
SenSys4
2023 LCVD: Loop-oriented code vulnerability detection via graph neural network
Mingke Wang, Chuanqi Tao, Hongjing Guo
J. Syst. Softw.1
2022 Automatic calibration of magnetic tracking
abstract
Magnetic sensing is emerging as an enabling technology for various engaging applications. Representative use cases include high-accuracy posture tracking, human-machine interaction, and haptic sensing. This technology uses multiple MEMS magnetometers to capture the changing magnetic field at a close distance. However, magnetometers are susceptible to real-world disturbances, such as hard- and soft-iron effects. As a result, users need to perform a cumbersome and lengthy calibration process frequently, severely limiting the usability of magnetic tracking.
Mingke Wang, Yasha Iravantchi, Alanson P. Sample, Kang G. Shin, Xiaohua Tian, Xinbing Wang, Dongyao Chen
MobiCom1
2022 Automatic calibration of magnetic tracking: demo
Mingke Wang, Yasha Iravantchi, Alanson P. Sample, Kang G. Shin, Xiaohua Tian, Xinbing Wang, Dongyao Chen
MobiCom1
2021 MagX: wearable, untethered hands tracking with passive magnets
abstract
Accurate tracking of the hands and fingers allows users to employ natural gestures in various interactive applications. Hand tracking also supports health applications, such as monitoring face-touching, a common vector for infectious disease. However, for both types of applications, the utility of hand tracking is often limited by the impracticality of bulky tethered systems (e.g., instrumented gloves) or inherent limitations (e.g., Line of Sight or privacy concerns with vision-based systems). These limitations have severely restricted the adoption of hand tracking in real-world applications. We present MagX, a fully untethered on-body hand tracking system utilizing passive magnets and a novel magnetic sensing platform. Since passive magnets require no maintenance, they can be worn on the hands indefinitely, and only the sensor board needs recharging, akin to a smartwatch.
Dongyao Chen, Mingke Wang, Chenxi He, Yasha Iravantchi, Alanson P. Sample, Kang G. Shin, Xinbing Wang
MobiCom2
2021 Wearable, untethered hands tracking with passive magnets
abstract
Accurate tracking of the hands and fingers allows users to employ natural gestures in various interactive applications, e.g., controller-free interaction in augmented reality. Hand tracking also supports health applications, such as monitoring face-touching, a common vector for infectious disease. However, for both types of applications, the utility of hand tracking is often limited by the impracticality of bulky tethered systems (e.g., instrumented gloves) or inherent limitations (e.g., Line of Sight or privacy concerns with vision-based systems). These limitations have severely restricted the adoption of hand tracking in real-world applications. We demonstrate MagX, a fully untethered on-body hand tracking system utilizing passive magnets and a novel magnetic sensing platform. Since passive magnets require no maintenance, they can be worn on the hands indefinitely, and only the sensor board needs recharging, akin to a smartwatch.
Dongyao Chen, Mingke Wang, Chenxi He, Yasha Iravantchi, Alanson P. Sample, Kang G. Shin, Xinbing Wang
MobiCom2