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 | 94 | 2020 |
Misc-GAN: A multi-scale generative model for graphs D Zhou, L Zheng, J Xu, J He Frontiers in big Data 2, 3, 2019 | 46 | 2019 |
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 | 34 | 2020 |
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 | 21 | 2021 |
Deeper-GXX: Deepening Arbitrary GNNs L Zheng, D Fu, R Maciejewski, J He arXiv preprint arXiv:2110.13798, 2021 | 20* | 2021 |
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 | 15 | 2019 |
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 | 14 | 2022 |
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 | 12 | 2022 |
Fairness-aware multi-view clustering L Zheng, Y Zhu, J He Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 5 | 2023 |
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 | 5 | 2021 |
Heterogeneous Contrastive Learning L Zheng, J Xiong, Y Zhu, J He KDD22, arXiv preprint arXiv:2105.09401, 2021 | 4 | 2021 |
FairGen: Towards Fair Graph Generation L Zheng, D Zhou, H Tong, J Xu, Y Zhu, J He ICDE2024, arXiv preprint arXiv:2303.17743, 2023 | 3 | 2023 |
Multi-modal Causal Structure Learning and Root Cause Analysis L Zheng, Z Chen, J He, H Chen WWW24, arXiv preprint arXiv:2402.02357, 2024 | 1 | 2024 |
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 | 1 | 2022 |
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 |