ZHU SUN

Macquarie University

Australia

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Articles (21)

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Collaborators (9)

Youcheng Sun

The University of Manchester

UNITED KINGDOM

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Jian Yang

Macquarie University

AUSTRALIA

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Chee Keong Kwoh

Nanyang Technological University (NTU)

SINGAPORE

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Guanfeng Liu

Macquarie University

AUSTRALIA

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Zhuoyi Lin

Institute for Infocomm Research

SINGAPORE

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TAOTAO CAI

Macquarie University

AUSTRALIA

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Jie Yang

Assistant Professor

Delft University of Technology

NETHERLANDS

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Huizhi Liang

Newcastle University

UNITED KINGDOM

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Michael Sheng

Macquarie University

AUSTRALIA

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ZHU SUN

Research Interests

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Articles (21)

Causal Deconfounding via Confounder Disentanglement for Dual-Target Cross-Domain Recommendation

Decentralized Next Point-of-Interest Recommendation Guided by Willingness to Share

PCDe: A personalized conversational debiasing framework for next POI recommendation with uncertain check-ins

KG4RecEval : Does Knowledge Graph Really Matter for Recommender Systems?

COSTA: Contrastive Spatial and Temporal Debiasing framework for next POI recommendation

Adaptive Intention Learning for Session-Based Recommendation

CrossMeta: A Fast and Cheap Cross-Metaverse Interoperability Protocol

A Multi-channel Next POI Recommendation Framework with Multi-granularity Check-in Signals

Understanding Diversity in Session-based Recommendation

Revisiting Bundle Recommendation for Intent-aware Product Bundling

BERD+: A Generic Sequential Recommendation Framework by Eliminating Unreliable Data with Item- and Attribute-level Signals

A survey on truth discovery

Bayesian attention-based user behaviour modelling for click-through rate prediction

Point-of-Interest Recommendation for Users-Businesses With Uncertain Check-ins

Disentangling multi-facet social relations for recommendation

Attention Over Self-Attention: Intention-Aware Re-Ranking With Dynamic Transformer Encoders for Recommendation

DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation

Who Wants to Shop With You: Joint Product–Participant Recommendation for Group-Buying Service

Minimalistic attacks

Top-aware recommender distillation with deep reinforcement learning

Hierarchical attentive knowledge graph embedding for personalized recommendation

Collaborators (9)

Youcheng Sun

Jian Yang

Chee Keong Kwoh

Guanfeng Liu

Zhuoyi Lin

TAOTAO CAI

Jie Yang

Huizhi Liang

Michael Sheng

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