Lingyu Du

I am a Ph.D. candidate in the Embedded Systems Group of the Computer Science Departments at Delft University of Technology, the Netherlands, supervised by Dr. Guohao Lan and Prof. Dr. Koen Langendoen.

My research interests are in the intersection of pervasive systems and machine learning, with a focus on building pervasive gaze estimation systems and gaze-based human-computer interactive systems.

I am currently in the job market.

Email  /  Scholar  / LinkedIn  /   Github

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News

  • [2025/7/9] One paper is accepted to appear in ACM IMWUT/UbiComp 2025.
  • [2025/5/15] I am invited to be on the committee of UbiComp/ISWC 2025 Posters and Demos Track.
  • [2025/5/7] I presented our paper at CPS-IOT Week 2025 in Irvine, USA.
  • [2025/5/6] Our paper EfficientGaze is accepted by ACM TOSN.
  • [2025/2/25] Our paper SecureGaze has been accepted to appear in ACM SenSys 2025.
  • [2024/10] I presented our work at UbiComp 2024 and had a very nice spring vacation in Australia!
  • [2024/8/5] Our paper PrivateGaze has been accepted to appear in ACM IMWUT/UbiComp 2024.

Publications

PrivateGaze Preview
Resource-efficient Gaze Estimation via Frequency-domain Multi-task Contrastive Learning
Lingyu Du, Xucong Zhang, Guohao Lan
ACM Transactions on Sensor Networks (TOSN), 2025, [Project page / Code]

A resource-efficient gaze estimation framework that significantly reduces the reliance on labeled data and improves the computational efficiency for inference and calibration.

SecureGaze: Defending Gaze Estimation Against Backdoor Attacks
Lingyu Du, Yupei Liu, Jinyuan Jia, Guohao Lan
The 23rd ACM Conference on Embedded Networked Sensor Systems
ACM SenSys, 2025, [Project page / Demo / Code]

The first work that investigates the backdoor vulnerability of gaze estimation models and proposes a framework to identify backdoored gaze estimation models.

PrivateGaze: Preserving User Privacy in Black-box Mobile Gaze Tracking Services
Lingyu Du, Jinyuan Jia, Xucong Zhang, Guohao Lan
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
IMWUT/UbiComp, 2024, [Project page / Demo / Code]

An approach to transform raw images to obfuscated images that do not contain private attributes of users but can be used for effective gaze estimation by black-box models.

PrivateGaze Preview
FreeGaze: Resource-efficient Gaze Estimation via Frequency-domain Contrastive Learning
Lingyu Du, Guohao Lan
The 20th International Conference on Embedded Wireless Systems and Networks
EWSN, 2023, [Project page / Code]

An approach that achieve comparable performance with the supervised baseline, while enabling up to 6.81 and 1.67 times speedup in calibration and inference, respectively.

PrivateGaze Preview
Through the Eyes of Emotion: A Multi-faceted Eye Tracking Dataset for Emotion Recognition in Virtual Reality
Tongyun Yang, Bishwas Regmi, Lingyu Du, Andreas Bulling, Xucong Zhang, Guohao Lan
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
IMWUT/UbiComp, 2025

A eye-tracking dataset in VR, combining high-frame-rate periocular videos and high-frequency gaze data to enable accurate, multimodal emotion recognition.

Preview
Coordination Strategy of Large-Scale DFIG-Based Wind Farm for Voltage Support With High Converter Capacity Utilization
Zhen Dong, Zhongguo Li, Lingyu Du, Yixing Liu, Zhengtao Ding
IEEE Transactions on Sustainable Energy, 2020

A distributed active power and reactive power coordination scheme for access point voltage support.

Professional Services

  • UbiComp / ISWC (Posters & Demos), Committee Member, 2025
  • UbiComp / ISWC (Briefs & Notes), Reviewer, 2025
  • Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Reviewer, 2024
  • ACM Transactions on Sensor Networks (TOSN), Reviewer, 2024
  • IEEE Transactions on Human-Machine Systems, Reviewer, 2024, 2025
  • IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS), Reviewer, 2022, 2023, 2024
  • The ACM Workshop on Smart Wearable Systems and Applications (conjunction with MobiCom), Publicity Chair, 2022

Education

  • Ph.D. candidate, 2021/9 ~ Now
    Delft University of Technology, Delft, the Netherlands
  • Master of Engineering in Control Science and Engineering, 2019/9 ~ 2021/7
    Harbin Institute of Technology, Harbin, China
  • Bachelor of Engineering in Automation (Honors School), 2015/9 ~ 2019/7
    Harbin Institute of Technology, Harbin, China

This home page is adapted from the template of Jon Barron's website.