Proceedings

Han Yu

College of Computing and Data Science , Nanyang Technological University , Singapore

21 papers in the IJCAI proceedings

IJCAI 2026

FedEvoQ: Evolutionary Diversity Probing for Data-Quality-Aware Federated Aggregation
with Leming Wu, Yaochu Jin, Riquan Zhang
doi:10.24963/ijcai.2026/563
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IJCAI 2025

Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization
with Zhuang Qi, Sijin Zhou, Lei Meng, Han Hu, Xiangxu Meng
doi:10.24963/ijcai.2025/677
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IJCAI 2024

A Bias-Free Revenue-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning
with Xiaoli Tang, Zengxiang Li, Xiaoxiao Li
doi:10.24963/ijcai.2024/552
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Dual Calibration-based Personalised Federated Learning
with Xiaoli Tang, Run Tang, Chao Ren, Anran Li, Xiaoxiao Li
doi:10.24963/ijcai.2024/551
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FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning
with Liping Yi, Zhuan Shi, Gang Wang, Xiaoguang Liu, Lizhen Cui, Xiaoxiao Li
doi:10.24963/ijcai.2024/594
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Intelligent Agents for Auction-based Federated Learning: A Survey
with Xiaoli Tang, Xiaoxiao Li, Sarit Kraus
doi:10.24963/ijcai.2024/912
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Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection
with Xianjie Guo, Kui Yu, Hao Wang, Lizhen Cui, Xiaoxiao Li
doi:10.24963/ijcai.2024/450
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Temporal Knowledge Graph Extrapolation via Causal Subhistory Identification
with Kai Chen, Ye Wang, Xin Song, Siwei Chen, Aiping Li
doi:10.24963/ijcai.2024/365
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IJCAI 2023

Competitive-Cooperative Multi-Agent Reinforcement Learning for Auction-based Federated Learning
with Xiaoli Tang
doi:10.24963/ijcai.2023/474
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FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning
with Yuanyuan Chen, Zichen Chen, Pengcheng Wu
doi:10.24963/ijcai.2023/394
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IJCAI 2022

Towards Verifiable Federated Learning
with Yanci Zhang
doi:10.24963/ijcai.2022/792
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IJCAI 2021

Predictive Analytics for COVID-19 Social Distancing
with Harold Ze Chie Teng, Hongchao Jiang, Xuan Rong Zane Ho, Wei Yang Bryan Lim, Jer Shyuan Ng, Zehui Xiong, Dusit Niyato, Chunyan Miao
doi:10.24963/ijcai.2021/716
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IJCAI 2020

A Multi-player Game for Studying Federated Learning Incentive Schemes
with Kang Loon Ng, Zichen Chen, Zelei Liu, Yang Liu, Qiang Yang
doi:10.24963/ijcai.2020/769
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A Testbed for Studying COVID-19 Spreading in Ride-Sharing Systems
with Harrison Jun Yong Wong, Zichao Deng, Jianqiang Huang, Cyril Leung, Chunyan Miao
doi:10.24963/ijcai.2020/774
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An AI-empowered Visual Storyline Generator
with Chang Liu, Zhao Yong Lim, Zhiqi Shen, Ian Dixon, Zhanning Gao, Pan Wang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao
doi:10.24963/ijcai.2020/765
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IJCAI 2019

Agent-based Decision Support for Pain Management in Primary Care Settings
with Xu Guo, Chunyan Miao, Yiqiang Chen
doi:10.24963/ijcai.2019/943
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An Online Intelligent Visual Interaction System
with Anxiang Zeng, Xin Gao, Kairi Ou, Zhenchuan Huang, Peng Hou, Mingli Song, Jingshu Zhang, Chunyan Miao
doi:10.24963/ijcai.2019/962
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Fair and Explainable Dynamic Engagement of Crowd Workers
with Yang Liu, Xiguang Wei, Chuyu Zheng, Tianjian Chen, Qiang Yang, Xiong Peng
doi:10.24963/ijcai.2019/961
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Intelligent Decision Support for Improving Power Management
with Yongqing Zheng, Kun Zhang, Yuliang Shi, Cyril Leung, Chunyan Miao
doi:10.24963/ijcai.2019/965
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Multi-Agent Visualization for Explaining Federated Learning
with Xiguang Wei, Quan Li, Yang Liu, Tianjian Chen, Qiang Yang
doi:10.24963/ijcai.2019/960
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IJCAI 2018

Building Ethics into Artificial Intelligence
with Zhiqi Shen, Chunyan Miao, Cyril Leung, Victor R. Lesser, Qiang Yang
doi:10.24963/ijcai.2018/779
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