Quan Z. Sheng

School of Computing , Macquarie University , Sydney , Australia

9 papers in the IJCAI proceedings

IJCAI 2025

Federated Learning at the Forefront of Fairness: A Multifaceted Perspective

with Noorain Mukhtiar, Adnan Mahmood, Yipeng Zhou, Jian Yang, Jing Teng

doi:10.24963/ijcai.2025/1177

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IJCAI 2024

Graph Neural Networks for Brain Graph Learning: A Survey

with Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, David McAlpine, Paul Sowman, Alexis Giral, Philip S. Yu

doi:10.24963/ijcai.2024/903

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IJCAI 2023

BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning

with Yunchao Yang, Yipeng Zhou, Miao Hu, Di Wu

doi:10.24963/ijcai.2023/498

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IJCAI 2021

Graph Learning based Recommender Systems: A Review

with Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, Philip S. Yu

doi:10.24963/ijcai.2021/630

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Neighborhood Intervention Consistency: Measuring Confidence for Knowledge Graph Link Prediction

with Kai Wang, Yu Liu

doi:10.24963/ijcai.2021/288

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IJCAI 2020

Intention2Basket: A Neural Intention-driven Approach for Dynamic Next-basket Planning

with Shoujin Wang, Liang Hu, Yan Wang, Mehmet Orgun, Longbing Cao

doi:10.24963/ijcai.2020/323

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IJCAI 2019

Modeling Multi-Purpose Sessions for Next-Item Recommendations via Mixture-Channel Purpose Routing Networks

with Shoujin Wang, Liang Hu, Yan Wang, Mehmet Orgun, Longbing Cao

doi:10.24963/ijcai.2019/523

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STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting

with Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang

doi:10.24963/ijcai.2019/274

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Sequential Recommender Systems: Challenges, Progress and Prospects

with Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Mehmet Orgun

doi:10.24963/ijcai.2019/883

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