Jeffrey Chan

Associate Professor

RMIT University

Australia

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Jeffrey Chan is an Associate Professor at RMIT University in Australia. His research interests encompass fairness and ethics in model multiplicity, wearable technology for movement awareness, local search optimization in routing problems, personalized itinerary recommendations, and graph anomaly detection. He has published extensively on topics including contextual feature clustering for parking occupancy prediction and energy-saving protocols in wireless sensor networks.

Articles (20)

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2024

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2022

Collaborators (9)

Yanchun Zhang

Victoria University

AUSTRALIA

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Flora Salim

Professor

University of New South Wales

AUSTRALIA

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Irene Hudson

Newcastle University

AUSTRALIA

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Mohammad Saiedur Rahaman

RMIT University

AUSTRALIA

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Chi-Tsun Cheng

Associate Professor

RMIT University

AUSTRALIA

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Lawrence Cavedon

Associate Dean

RMIT University

AUSTRALIA

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Toh Yen Pang

Associate Professor

RMIT University

AUSTRALIA

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Andy Song

RMIT University

AUSTRALIA

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Mark Sanderson

RMIT University

AUSTRALIA

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Jeffrey Chan

Research Interests

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About

Articles (20)

A Wearable Personalised Sonification and Biofeedback Device to Enhance Movement Awareness

Transferrable contextual feature clusters for parking occupancy prediction

Cross-model Fairness: Empirical Study of Fairness and Ethics Under Model Multiplicity

Learning to guide local search optimisation for routing problems

A survey on personalized itinerary recommendation: From optimisation to deep learning

LabelGen: An Anomaly Label Generative Framework for Enhanced Graph Anomaly Detection

Reinforcement Learning for Tackling Energy-Saving and Energy-Balance Dilemma of Cluster-Based Routing Protocols in WSNs

A stochastic approximation approach to fixed instance selection

The Secondary Use of Electronic Health Records for Data Mining: Data Characteristics and Challenges

i-Align: an interpretable knowledge graph alignment model

Capacity-aware fair POI recommendation combining transformer neural networks and resource allocation policy

Automatic meter error detection with a data-driven approach

Development and validation of retrospective electronic frailty index using operational data of aged care homes

POI recommendation with queuing time and user interest awareness

Multi-attention graph neural networks for city-wide bus travel time estimation using limited data

A Divide and Conquer Algorithm for Predict+Optimize with Non-convex Problems

Complex Event Summarization Using Multi-Social Attribute Correlation

Efficient itinerary recommendation via personalized POI selection and pruning

Learning to optimise general TSP instances

Multi-level simulation of the physical, cognitive and social

Collaborators (9)

Yanchun Zhang

Flora Salim

Irene Hudson

Mohammad Saiedur Rahaman

Chi-Tsun Cheng

Lawrence Cavedon

Toh Yen Pang

Andy Song

Mark Sanderson

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