| Knowledge graph embedding by translating on hyperplanes Z Wang, J Zhang, J Feng, Z Chen Proceedings of the AAAI conference on artificial intelligence 28 (1), 2014 | 4532 | 2014 |
| Knowledge graph and text jointly embedding Z Wang, J Zhang, J Feng, Z Chen Proceedings of the 2014 conference on empirical methods in natural language …, 2014 | 526 | 2014 |
| Aligning knowledge and text embeddings by entity descriptions H Zhong, J Zhang, Z Wang, H Wan, Z Chen Proceedings of the 2015 conference on empirical methods in natural language …, 2015 | 201 | 2015 |
| Adabert: Task-adaptive bert compression with differentiable neural architecture search D Chen, Y Li, M Qiu, Z Wang, B Li, B Ding, H Deng, J Huang, W Lin, ... arXiv preprint arXiv:2001.04246, 2020 | 115 | 2020 |
| Federatedscope-gnn: Towards a unified, comprehensive and efficient package for federated graph learning Z Wang, W Kuang, Y Xie, L Yao, Y Li, B Ding, J Zhou Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 70 | 2022 |
| Evennet: Ignoring odd-hop neighbors improves robustness of graph neural networks R Lei, Z Wang, Y Li, B Ding, Z Wei Advances in Neural Information Processing Systems 35, 4694-4706, 2022 | 55 | 2022 |
| Artificial intelligence for prosthetics: Challenge solutions Ł Kidziński, C Ong, SP Mohanty, J Hicks, S Carroll, B Zhou, H Zeng, ... The NeurIPS'18 Competition: From Machine Learning to Intelligent …, 2020 | 51 | 2020 |
| Fives: Feature interaction via edge search for large-scale tabular data Y Xie, Z Wang, Y Li, B Ding, NM Gürel, C Zhang, M Huang, W Lin, J Zhou Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 29 | 2021 |
| Automl: From methodology to application Y Li, Z Wang, Y Xie, B Ding, K Zeng, C Zhang Proceedings of the 30th ACM international conference on information …, 2021 | 26 | 2021 |
| Graph neural networks with node-wise architecture Z Wang, Z Wei, Y Li, W Kuang, B Ding Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 17 | 2022 |
| Federatedscope: A comprehensive and flexible federated learning platform via message passing Y Xie, Z Wang, D Chen, D Gao, L Yao, W Kuang, Y Li, B Ding, J Zhou arXiv preprint arXiv:2204.05011 11, 2022 | 16 | 2022 |
| Base: Bridging the gap between cost and latency for query optimization X Chen, Z Wang, S Liu, Y Li, K Zeng, B Ding, J Zhou, H Su, K Zheng Proceedings of the VLDB Endowment 16 (8), 1958-1966, 2023 | 12 | 2023 |
| MGMAE: molecular representation learning by reconstructing heterogeneous graphs with A high mask ratio J Feng, Z Wang, Y Li, B Ding, Z Wei, H Xu Proceedings of the 31st ACM International Conference on Information …, 2022 | 11 | 2022 |
| Explainable neural rule learning S Shi, Y Xie, Z Wang, B Ding, Y Li, M Zhang Proceedings of the ACM Web Conference 2022, 3031-3041, 2022 | 11 | 2022 |
| AutoML: A perspective where industry meets academy Y Li, Z Wang, B Ding, C Zhang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 11 | 2021 |
| Coarformer: Transformer for large graph via graph coarsening W Kuang, W Zhen, Y Li, Z Wei, B Ding | 10 | 2021 |
| A variational expectation-maximization framework for balanced multi-scale learning of protein and drug interactions J Rao, J Xie, Q Yuan, D Liu, Z Wang, Y Lu, S Zheng, Y Yang Nature Communications 15 (1), 4476, 2024 | 8 | 2024 |
| FedHPO-B: A benchmark suite for federated Hyperparameter optimization Z Wang, W Kuang, C Zhang, B Ding, Y Li arXiv preprint arXiv:2206.03966, 2022 | 8 | 2022 |
| Komen: Domain knowledge guided interaction recommendation for emerging scenarios Y Xie, Z Wang, C Yang, Y Li, B Ding, H Deng, J Han Proceedings of the ACM Web Conference 2022, 1301-1310, 2022 | 6 | 2022 |
| Hpn: Personalized federated hyperparameter optimization A Cheng, Z Wang, Y Li, J Cheng arXiv preprint arXiv:2304.05195, 2023 | 5 | 2023 |
Bolin DingAlibaba GroupVerified email at alibaba-inc.com
