Publications

You can also find my articles on my Google Scholar profile.

Conference Papers

ViPoser: Sparse-IMU Based Human Pose Estimation with Distilled Vision Foundation Priors

Published in ACM International Conference on Mobile Computing and Networking (MobiCom 2026), 2026

A lightweight framework that distills human-structure priors from a vision foundation model (Sapiens) into a compact IMU-based pose estimator — achieving 10–30% lower error and near-zero anatomically implausible poses under sparse 1–3 IMU input.

Recommended citation: Hanyu Zeng, et al. (2026). "ViPoser: Sparse-IMU Based Human Pose Estimation with Distilled Vision Foundation Priors." ACM MobiCom 2026.
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Detecting Cyber Attacks in Smart Grids with Massive Unlabeled Sensing Data

Published in 2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), 2022

PowerBERT, a self-supervised learning model for anomaly detection trained with minimal labeled data using the BERT model. Achieved 93% accuracy, surpassing other SOTA models by over 15%.

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Arxiv Papers

DIETS: Diabetic Insulin Management System in Everyday Life

Published in , 2024

Designed an insulin management system providing injection recommendations based on diet descriptions and historical glucose/injection data. Very first research work on insulin management system with supervised learning models, which dramatically reduced the dependence on the professional assistance while model training, and give patients a chance to do customized adjustments for themselves. DIETS achieved superior performance compared with SOTA models.

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Unleashing the Power of Unlabeled Data: A Self-supervised Learning Framework for Cyber Attack Detection in Smart Grids

Published in , 2023

Further exploration of PowerBERT. New designs on PowerBERT to address the common data imbalance issue with unlabeled data in industry. Achieve 9.3% increase in accuracy on imbalanced unlabeled datasets.

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Zeng, Hanyu (曾翰宇)

Publications

Conference Papers

ViPoser: Sparse-IMU Based Human Pose Estimation with Distilled Vision Foundation Priors

Detecting Cyber Attacks in Smart Grids with Massive Unlabeled Sensing Data

Arxiv Papers

DIETS: Diabetic Insulin Management System in Everyday Life

Unleashing the Power of Unlabeled Data: A Self-supervised Learning Framework for Cyber Attack Detection in Smart Grids