| FluxEV: A Fast and Effective Unsupervised Framework for Time-Series Anomaly Detection J Li, S Di, Y Shen, L Chen Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021 | 47 | 2021 |
| Searching to Sparsify Tensor Decomposition for N-ary Relational Data S Di, Q Yao, L Chen Proceedings of the Web Conference 2021, 4043-4054, 2021 | 44 | 2021 |
| Autogel: An automated graph neural network with explicit link information Z Wang, S Di, L Chen Advances in Neural Information Processing Systems 34, 24509-24522, 2021 | 42 | 2021 |
| Relation Extraction via Domain-aware Transfer Learning S Di, Y Shen, L Chen Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 36 | 2019 |
| Black-box Adversarial Attack and Defense on Graph Neural Networks H Li, S Di, Z Li, L Chen, J Cao 2022 IEEE 38th International Conference on Data Engineering (ICDE), 1017-1030, 2022 | 26 | 2022 |
| Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding DI Shimin, YAO Quanming, Y ZHANG, C Lei 2021 IEEE 37th International Conference on Data Engineering (ICDE), 1104-1115, 2021 | 25 | 2021 |
| Revisiting Injective Attacks on Recommender Systems H LI, S DI, L Chen Advances in Neural Information Processing Systems 35, 29989-30002, 2022 | 16 | 2022 |
| Message Function Search for Knowledge Graph Embedding S Di, L Chen Proceedings of the ACM Web Conference 2023, 2633-2644, 2023 | 12* | 2023 |
| Noise2Info: Noisy Image to Information of Noise for Self-Supervised Image Denoising J Wang, S Di, L Chen, CWW Ng Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 11 | 2023 |
| A Message Passing Neural Network Space for Better Capturing Data-dependent Receptive Fields Z Wang, S Di, L Chen Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 9 | 2023 |
| Transfer Learning via Feature Isomorphism Discovery S Di, J Peng, Y Shen, L Chen Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 9 | 2018 |
| Learning from Emergence: A Study on Proactively Inhibiting the Monosemantic Neurons of Artificial Neural Networks J Wang, S Di, L Chen, CWW Ng Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 5* | 2024 |
| Search to Fine-Tune Pre-Trained Graph Neural Networks for Graph-Level Tasks W Zhili, DI Shimin, C Lei, Z Xiaofang 2024 IEEE 40th International Conference on Data Engineering (ICDE), 2805-2819, 2024 | 5 | 2024 |
| Incremental Tabular Learning on Heterogeneous Feature Space H Liu, S Di, L Chen Proceedings of the ACM on Management of Data 1 (1), 1-18, 2023 | 4 | 2023 |
| Effective Data Selection and Replay for Unsupervised Continual Learning LIU Hanmo, DI Shimin, LI Haoyang, LI Shuangyin, C Lei, Z Xiaofang 2024 IEEE 40th International Conference on Data Engineering (ICDE), 1449-1463, 2024 | 3 | 2024 |
| GradGCL: Gradient Graph Contrastive Learning R Li, S Di, L Chen, X Zhou 2024 IEEE 40th International Conference on Data Engineering (ICDE), 1171-1184, 2024 | 2 | 2024 |
| E2GCL: Efficient and Expressive Contrastive Learning on Graph Neural Networks H Li, S Di, L Chen, X Zhou 2024 IEEE 40th International Conference on Data Engineering (ICDE), 859-873, 2024 | 2 | 2024 |
| SimDiff: Simple Denoising Probabilistic Latent Diffusion Model for Data Augmentation on Multi-modal Knowledge Graph R Li, S Di, L Chen, X Zhou Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 1 | 2024 |
| Computation-friendly Graph Neural Network Design by Accumulating Knowledge on Large Language Models J Wang, S Di, H Liu, Z Wang, J Wang, L Chen, X Zhou arXiv preprint arXiv:2408.06717, 2024 | 1 | 2024 |
| Cardinality Estimation on Hyper-relational Knowledge Graphs F Teng, H Li, S Di, L Chen arXiv preprint arXiv:2405.15231, 2024 | 1 | 2024 |
Lei ChenHong Kong University of Science and TechnologyEmail được xác minh tại cse.ust.hk