Search Results for author: Vincent CS Lee

Found 9 papers, 5 papers with code

Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating

1 code implementation25 Nov 2022 Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent CS Lee, Shirui Pan

Node representations are learned through contrasting the dual-channel encodings obtained from the discriminated homophilic and heterophilic edges.

Graph Representation Learning

Unifying Graph Contrastive Learning with Flexible Contextual Scopes

1 code implementation17 Oct 2022 Yizhen Zheng, Yu Zheng, Xiaofei Zhou, Chen Gong, Vincent CS Lee, Shirui Pan

To address aforementioned problems, we present a simple self-supervised learning method termed Unifying Graph Contrastive Learning with Flexible Contextual Scopes (UGCL for short).

Contrastive Learning Graph Representation Learning +1

Service resource allocation problem in the IoT driven personalized healthcare information platform

no code implementations5 Apr 2022 Ji Fang, Vincent CS Lee, HaiYan Wang

With real-time monitoring of the personalized healthcare condition, the IoT wearables collect the health data and transfer it to the healthcare information platform.

Improving Personalised Physical Activity Recommendation on the mHealth Information Service Using Deep Reinforcement Learning

no code implementations3 Apr 2022 Ji Fang, Vincent CS Lee, HaiYan Wang

The behavioural factors include changing fitness preferences, adherence issues, and uncertainty about future fitness outcomes, which may all lead to a decline in the quality of the mHealth information services.

Management reinforcement-learning +2

Deep Learning for Embodied Vision Navigation: A Survey

no code implementations7 Jul 2021 Fengda Zhu, Yi Zhu, Vincent CS Lee, Xiaodan Liang, Xiaojun Chang

A navigation agent is supposed to have various intelligent skills, such as visual perceiving, mapping, planning, exploring and reasoning, etc.

Autonomous Driving Navigate +1

Anomaly Detection in Dynamic Graphs via Transformer

1 code implementation18 Jun 2021 Yixin Liu, Shirui Pan, Yu Guang Wang, Fei Xiong, Liang Wang, Qingfeng Chen, Vincent CS Lee

Detecting anomalies for dynamic graphs has drawn increasing attention due to their wide applications in social networks, e-commerce, and cybersecurity.

Anomaly Detection

Online Semi-Supervised Concept Drift Detection with Density Estimation

no code implementations25 Sep 2019 Chang How Tan, Vincent CS Lee, Mahsa Salehi

The two types of drift that are extensively studied are real drift and virtual drift where the former is the change in posterior probabilities p(y|X) while the latter is the change in distribution of X without affecting the posterior probabilities.

Density Estimation

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