Volgen
Lecheng Zheng
Titel
Geciteerd door
Geciteerd door
Jaar
A data-driven graph generative model for temporal interaction networks
D Zhou, L Zheng, J Han, J He
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
932020
Misc-GAN: A multi-scale generative model for graphs
D Zhou, L Zheng, J Xu, J He
Frontiers in big Data 2, 3, 2019
462019
Domain adaptive multi-modality neural attention network for financial forecasting
D Zhou, L Zheng, Y Zhu, J Li, J He
Proceedings of The Web Conference 2020, 2230-2240, 2020
342020
Deeper-GXX: Deepening Arbitrary GNNs
L Zheng, D Fu, R Maciejewski, J He
arXiv preprint arXiv:2110.13798, 2021
20*2021
Deep co-attention network for multi-view subspace learning
L Zheng, Y Cheng, H Yang, N Cao, J He
Proceedings of the Web Conference 2021, 1528-1539, 2021
202021
Deep multimodality model for multi-task multi-view learning
L Zheng, Y Cheng, J He
Proceedings of the 2019 SIAM International Conference on Data Mining, 10-18, 2019
152019
MentorGNN: Deriving Curriculum for Pre-Training GNNs
D Zhou, L Zheng, D Fu, J Han, J He
Proceedings of the 31st ACM International Conference on Information …, 2022
142022
Contrastive learning with complex heterogeneity
L Zheng, J Xiong, Y Zhu, J He
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
122022
Fairness-aware multi-view clustering
L Zheng, Y Zhu, J He
Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023
52023
Outlier impact characterization for time series data
J Li, L Zheng, Y Zhu, J He
Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11595 …, 2021
52021
Heterogeneous Contrastive Learning
L Zheng, J Xiong, Y Zhu, J He
KDD22, arXiv preprint arXiv:2105.09401, 2021
42021
FairGen: Towards Fair Graph Generation
L Zheng, D Zhou, H Tong, J Xu, Y Zhu, J He
ICDE2024, arXiv preprint arXiv:2303.17743, 2023
32023
Multi-modal Causal Structure Learning and Root Cause Analysis
L Zheng, Z Chen, J He, H Chen
WWW24, arXiv preprint arXiv:2402.02357, 2024
12024
Explaining outliers in time series and evaluating anomaly detection methods
Y Zhu, JJ Xiong, J He, L Zheng, X Cui
US Patent App. 17/170,164, 2022
12022
Heterogeneous Contrastive Learning for Foundation Models and Beyond
L Zheng, B Jing, Z Li, H Tong, J He
arXiv preprint arXiv:2404.00225, 2024
2024
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Artikelen 1–15