| 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 | 115 | 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 | 51 | 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 | 47 | 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 | 30 | 2021 |
| Drgnn: Deep residual graph neural network with contrastive learning L Zheng, D Fu, R Maciejewski, J He Transactions on Machine Learning Research, 2024 | 27* | 2024 |
| 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 | 24 | 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 | 24 | 2022 |
| MULAN: Multi-modal Causal Structure Learning and Root Cause Analysis for Microservice Systems L Zheng, Z Chen, J He, H Chen Proceedings of the ACM on Web Conference 2024, 4107-4116, 2024 | 20 | 2024 |
| 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 | 17 | 2019 |
| Fairness-aware multi-view clustering L Zheng, Y Zhu, J He Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 13 | 2023 |
| Heterogeneous contrastive learning for foundation models and beyond L Zheng, B Jing, Z Li, H Tong, J He Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 11 | 2024 |
| Multi-modal Causal Structure Learning and Root Cause Analysis L Zheng, Z Chen, J He, H Chen WWW24, arXiv preprint arXiv:2402.02357, 2024 | 9 | 2024 |
| 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 | 9 | 2021 |
| FairGen: Towards Fair Graph Generation L Zheng, D Zhou, H Tong, J Xu, Y Zhu, J He IEEE 40th International Conference on Data Engineering 2024, 2285-2297, 2023 | 7 | 2023 |
| LEMMA-RCA: A Large Multi-modal Multi-domain Dataset for Root Cause Analysis L Zheng, Z Chen, D Wang, C Deng, R Matsuoka, H Chen arXiv preprint arXiv:2406.05375, 2024 | 5 | 2024 |
| Heterogeneous Contrastive Learning L Zheng, J Xiong, Y Zhu, J He KDD22, arXiv preprint arXiv:2105.09401, 2021 | 5 | 2021 |
| 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 | 2 | 2022 |
| PyG-SSL: A Graph Self-Supervised Learning Toolkit L Zheng, B Jing, Z Li, Z Zeng, T Wei, M Ai, X He, L Liu, D Fu, J You, ... arXiv preprint arXiv:2412.21151, 2024 | | 2024 |
| Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision? Z Li, L Zheng, B Jin, D Fu, B Jing, Y Ban, J He, J Han arXiv preprint arXiv:2412.08174, 2024 | | 2024 |
| Multi-label Sequential Sentence Classification via Large Language Model M Lan, L Zheng, S Ming, H Kilicoglu Findings of the Association for Computational Linguistics: EMNLP 2024, 16086 …, 2024 | | 2024 |
Jingrui HeUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
