Hai Jin

National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab , Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology , Wuhan , China; CIFAR AI Chair , Canada

9 papers in the IJCAI proceedings

IJCAI 2024

CausalNET: Unveiling Causal Structures on Event Sequences by Topology-Informed Causal Attention

with Hua Zhu, Hong Huang, Kehan Yin, Zejun Fan, Bang Liu

doi:10.24963/ijcai.2024/790

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IJCAI 2023

Incremental and Decremental Optimal Margin Distribution Learning

with Li-Jun Chen, Teng Zhang, Xuanhua Shi

doi:10.24963/ijcai.2023/392

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Scalable Optimal Margin Distribution Machine

with Yilin Wang, Nan Cao, Teng Zhang, Xuanhua Shi

doi:10.24963/ijcai.2023/485

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IJCAI 2022

Posistive-Unlabeled Learning via Optimal Transport and Margin Distribution

with Nan Cao, Teng Zhang, Xuanhua Shi

doi:10.24963/ijcai.2022/393

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Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection

with Wei Wan, Shengshan Hu, jianrong Lu, Leo Yu Zhang, Yuanyuan He

doi:10.24963/ijcai.2022/106

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IJCAI 2021

Partial Multi-Label Optimal Margin Distribution Machine

with Nan Cao, Teng Zhang

doi:10.24963/ijcai.2021/303

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Temporal Heterogeneous Information Network Embedding

with Hong Huang, Ruize Shi, Wei Zhou, Xiao Wang, Xiaoming Fu

doi:10.24963/ijcai.2021/203

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IJCAI 2020

Motif-Preserving Temporal Network Embedding

with Hong Huang, Zixuan Fang, Xiao Wang, Youshan Miao

doi:10.24963/ijcai.2020/172

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Optimal Margin Distribution Machine for Multi-Instance Learning

with Teng Zhang

doi:10.24963/ijcai.2020/330

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Future Conferences

AI Journal Division

IJCAI Proceedings