| Bipartite graph embedding via mutual information maximization J Cao, X Lin, S Guo, L Liu, T Liu, B Wang Proceedings of the 14th ACM international conference on web search and data …, 2021 | 134 | 2021 |
| Disencdr: Learning disentangled representations for cross-domain recommendation J Cao, X Lin, X Cong, J Ya, T Liu, B Wang Proceedings of the 45th International ACM SIGIR conference on research and …, 2022 | 109 | 2022 |
| Task-adaptive neural process for user cold-start recommendation X Lin, J Wu, C Zhou, S Pan, Y Cao, B Wang Proceedings of the Web Conference 2021, 1306-1316, 2021 | 93 | 2021 |
| Guiding cross-lingual entity alignment via adversarial knowledge embedding X Lin, H Yang, J Wu, C Zhou, B Wang 2019 IEEE International conference on data mining (ICDM), 429-438, 2019 | 49 | 2019 |
| Exploratory Adversarial Attacks on Graph Neural Networks for Semi-Supervised Node Classification X Lin, C Zhou, J Wu, H Yang, H Wang, Y Cao, B Wang Pattern Recognition, 2022 | 44 | 2022 |
| Relation path embedding in knowledge graphs X Lin, Y Liang, F Giunchiglia, X Feng, R Guan Neural Computing and Applications 31, 5629-5639, 2019 | 30 | 2019 |
| Exploratory adversarial attacks on graph neural networks X Lin, C Zhou, H Yang, J Wu, H Wang, Y Cao, B Wang 2020 IEEE International Conference on Data Mining (ICDM), 1136-1141, 2020 | 28 | 2020 |
| Learning entity and relation embeddings with entity description for knowledge graph completion S Dai, Y Liang, S Liu, Y Wang, W Shao, X Lin, X Feng 2018 2nd International Conference on Artificial Intelligence: Technologies …, 2018 | 22 | 2018 |
| Deep structural point process for learning temporal interaction networks J Cao, X Lin, X Cong, S Guo, H Tang, T Liu, B Wang Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021 | 19 | 2021 |
| Structure-aware prototypical neural process for few-shot graph classification X Lin, Z Li, P Zhang, L Liu, C Zhou, B Wang, Z Tian IEEE Transactions on Neural Networks and Learning Systems 35 (4), 4607-4621, 2022 | 17 | 2022 |
| Disentangled deep multivariate hawkes process for learning event sequences X Lin, J Cao, P Zhang, C Zhou, Z Li, J Wu, B Wang 2021 IEEE International Conference on Data Mining (ICDM), 360-369, 2021 | 12 | 2021 |
| Compositional learning of relation path embedding for knowledge base completion X Lin, Y Liang, F Giunchiglia, X Feng, R Guan arXiv preprint arXiv:1611.07232, 2016 | 11 | 2016 |
| Improving cross-domain slot filling with common syntactic structure L Liu, X Lin, P Zhang, B Wang ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 8 | 2021 |
| A knowledge base completion model based on path feature learning X Lin, Y Liang, L Wang, X Wang, M Yang, R Guan International journal of computers, communications & control 13 (1), 71, 2018 | 7 | 2018 |
| Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification X Lin, W Zhang, F Shi, C Zhou, L Zou, X Zhao, D Yin, S Pan, Y Cao Forty-first International Conference on Machine Learning, 2024 | 6 | 2024 |
| Towards flexible and adaptive neural process for cold-start recommendation X Lin, C Zhou, J Wu, L Zou, S Pan, Y Cao, B Wang, S Wang, D Yin IEEE Transactions on Knowledge and Data Engineering, 2023 | 5 | 2023 |
| VR-GNN: variational relation vector graph neural network for modeling homophily and heterophily F Shi, Y Cao, R Li, X Lin, Y Shang, C Zhou, J Wu, S Pan World Wide Web 27 (3), 32, 2024 | 4 | 2024 |
| Neural Jump-Diffusion Temporal Point Processes S Zhang, C Zhou, YA Liu, P Zhang, X Lin, ZM Ma International Conference on Machine Learning (ICML) Spotlight, 2024 | 3 | 2024 |
| Learning Common Dependency Structure for Unsupervised Cross-Domain NER L Liu, X Lin, P Zhang, L Zhang, B Wang ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 2 | 2022 |
| Equivariant Hypergraph Diffusion for Crystal Structure Prediction Y Liu, C Zhou, S Zhang, P Zhang, X Lin, S Pan arXiv preprint arXiv:2501.18850, 2025 | | 2025 |
Bin WangAI Lab, Xiaomi Inc.Dirección de correo verificada de xiaomi.com