156 citations · 239 across the 17 of their papers we have counts for
17 papers
Generalizable framework of eating episode detection on free-living wrist-worn wearable data
Chunzhuo Wang, Emma De Schuyteneer, Huaidong Du +3
Accurate assessment of eating behavior is essential for understanding and managing conditions such as eating disorders, obesity, and diabetes. Wearable-based food intake detection…
Robust Multimodal Learning Framework For Intake Gesture Detection Using Contactless Radar and Wearable IMU Sensors
Chunzhuo Wang, Hans Hallez, Bart Vanrumste
Automated food intake gesture detection plays a vital role in dietary monitoring, enabling objective and continuous tracking of eating behaviors to support better health outcomes.…
AI-assisted Automatic Jump Detection and Height Estimation in Volleyball Using a Waist-worn IMU
Weiyi Xu, Chunzhuo Wang, Meng Shang +4
The physical load of jumps plays a critical role in injury prevention for volleyball players. However, manual video analysis of jump activities is time-intensive and costly, requir…
Skeleton-Based Intake Gesture Detection With Spatial-Temporal Graph Convolutional Networks
Chunzhuo Wang, Zhewen Xue, T. Sunil Kumar +3
Overweight and obesity have emerged as widespread societal challenges, frequently linked to unhealthy eating patterns. A promising approach to enhance dietary monitoring in everyda…
Language-Assisted Human Part Motion Learning for Skeleton-Based Temporal Action Segmentation
Bowen Chen, Haoyu Ji, Zhiyong Wang +5
Skeleton-based Temporal Action Segmentation involves the dense action classification of variable-length skeleton sequences. Current approaches primarily apply graph-based networks…
Eating Speed Measurement Using Wrist-Worn IMU Sensors Towards Free-Living Environments
Chunzhuo Wang, T. Sunil Kumar, Walter De Raedt +3
Eating speed is an important indicator that has been widely investigated in nutritional studies. The relationship between eating speed and several intake-related problems such as o…
Linear pretraining in recurrent mixture density networks
Hubert Normandin-Taillon, Frédéric Godin, Chun Wang
We present a method for pretraining a recurrent mixture density network (RMDN). We also propose a slight modification to the architecture of the RMDN-GARCH proposed by Nikolaev et…
An Empirical Bayes Approach for Estimating Skill Models for Professional Darts Players
Martin B. Haugh, Chun Wang
We perform an exploratory data analysis on a data-set for the top 16 professional darts players from the 2019 season. We use this data-set to fit player skill models which can then…
Eat-Radar: Continuous Fine-Grained Intake Gesture Detection Using FMCW Radar and 3D Temporal Convolutional Network with Attention
Chunzhuo Wang, T. Sunil Kumar, Walter De Raedt +3
Unhealthy dietary habits are considered as the primary cause of various chronic diseases, including obesity and diabetes. The automatic food intake monitoring system has the potent…
GraphMAE: Self-Supervised Masked Graph Autoencoders
Zhenyu Hou, Xiao Liu, Yukuo Cen +4
Self-supervised learning (SSL) has been extensively explored in recent years. Particularly, generative SSL has seen emerging success in natural language processing and other AI fie…
Data standardization for robust lip sync
Chun Wang
Lip sync is a fundamental audio-visual task. However, existing lip sync methods fall short of being robust in the wild. One important cause could be distracting factors on the visu…
A novel semi-supervised multi-view clustering framework for screening Parkinson's disease
Xiaobo Zhang, Donghai Zhai, Yan Yang +2
In recent years, there are many research cases for the diagnosis of Parkinson's disease (PD) with the brain magnetic resonance imaging (MRI) by utilizing the traditional unsupervis…
Empirical Analysis of Password Reuse and Modification across Online Service
Chun Wang, Steve T. K. Jan, Hang Hu +1
Leaked passwords from data breaches can pose a serious threat to users if the password is reused elsewhere. With more online services getting breached today, there is still a lack…
Towards Monetary Incentives in Social Q&A Services
Steve T. K. Jan, Chun Wang, Qing Zhang +1
Community-based question answering (CQA) services are facing key challenges to motivate domain experts to provide timely answers. Recently, CQA services are exploring new incentive…
Online Updating of Statistical Inference in the Big Data Setting
Elizabeth D. Schifano, Jing Wu, Chun Wang +2
We present statistical methods for big data arising from online analytical processing, where large amounts of data arrive in streams and require fast analysis without storage/acces…
Controlled remote state preparation via partially entangled quantum channel
Chun Wang, Zhi Zeng, Xi-Han Li
We propose two controlled remote state preparation protocols via partially entangled channels. One prepares a single-qubit state and the other prepares a two-qubit state. Different…
Information Relaxations and Dynamic Zero-Sum Games
Martin Haugh, Chun Wang
Dynamic zero-sum games are an important class of problems with applications ranging from evasion-pursuit and heads-up poker to certain adversarial versions of control problems such…