| Explainable reasoning over knowledge graphs for recommendation X Wang, D Wang, C Xu, X He, Y Cao, TS Chua Proceedings of the AAAI conference on artificial intelligence 33 (01), 5329-5336, 2019 | 721 | 2019 |
| Learning intents behind interactions with knowledge graph for recommendation X Wang, T Huang, D Wang, Y Yuan, Z Liu, X He, TS Chua Proceedings of the web conference 2021, 878-887, 2021 | 313 | 2021 |
| Birank: Towards ranking on bipartite graphs X He, M Gao, MY Kan, D Wang IEEE Transactions on Knowledge and Data Engineering 29 (1), 57-71, 2016 | 187 | 2016 |
| A DT-SVM strategy for stock futures prediction with big data D Wang, X Liu, M Wang 2013 IEEE 16th International Conference on Computational Science and …, 2013 | 55 | 2013 |
| Click-through rate prediction with multi-modal hypergraphs L He, H Chen, D Wang, S Jameel, P Yu, G Xu Proceedings of the 30th ACM International Conference on Information …, 2021 | 32 | 2021 |
| Throughput based temporal verification for monitoring large batch of parallel processes X Liu, D Wang, D Yuan, F Wang, Y Yang Proceedings of the 2014 International Conference on Software and System …, 2014 | 22 | 2014 |
| Causal inference for knowledge graph based recommendation Y Wei, X Wang, L Nie, S Li, D Wang, TS Chua IEEE Transactions on Knowledge and Data Engineering, 2022 | 19 | 2022 |
| A novel deadline assignment strategy for a large batch of parallel tasks with soft deadlines in the cloud X Liu, D Wang, D Yuan, Y Yang 2013 IEEE 10th International Conference on High Performance Computing and …, 2013 | 16 | 2013 |
| Mitigating hidden confounding effects for causal recommendation X Zhu, Y Zhang, X Yang, D Wang, F Feng IEEE Transactions on Knowledge and Data Engineering, 2024 | 13 | 2024 |
| Workflow temporal verification for monitoring parallel business processes X Liu, D Wang, D Yuan, F Wang, Y Yang Journal of Software: Evolution and Process 28 (4), 286-302, 2016 | 11 | 2016 |
| A novel framework for semantic entity identification and relationship integration in large scale text data D Wang, X Liu, H Luo, J Fan Future Generation Computer Systems 64, 198-210, 2016 | 8 | 2016 |
| Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation Y Zhang, T Shi, F Feng, W Wang, D Wang, X He, Y Zhang Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 6 | 2023 |
| Causal-aware generative imputation for automated underwriting Q Li, TD Duong, Z Wang, S Liu, D Wang, G Xu Proceedings of the 30th ACM International Conference on Information …, 2021 | 6 | 2021 |
| Explainable reasoning over knowledge graphs for recommendation. CoRR abs/1811.04540 (2018) X Wang, D Wang, C Xu, X He, Y Cao, TS Chua arXiv preprint arXiv:1811.04540, 2018 | 6 | 2018 |
| LLaMA-E: Empowering E-commerce Authoring with Multi-Aspect Instruction Following K Shi, X Sun, D Wang, Y Fu, G Xu, Q Li arXiv preprint arXiv:2308.04913, 2023 | 5 | 2023 |
| Simplifying graph-based collaborative filtering for recommendation L He, X Wang, D Wang, H Zou, H Yin, G Xu Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 5 | 2023 |
| Transferable fairness for cold-start recommendation Y Li, D Wang, H Chen, Y Zhang arXiv preprint arXiv:2301.10665, 2023 | 5 | 2023 |
| AMR-TST: Abstract meaning representation-based text style transfer K Shi, X Sun, L He, D Wang, Q Li, G Xu Findings of the Association for Computational Linguistics: ACL 2023, 4231-4243, 2023 | 4 | 2023 |
| TagPick: A system for bridging micro-video hashtags and e-commerce categories L He, D Wang, H Wang, H Chen, G Xu Proceedings of the 30th ACM International Conference on Information …, 2021 | 4 | 2021 |
| Fairness-aware differentially private collaborative filtering Z Yang, Y Ge, C Su, D Wang, X Zhao, Y Ying Companion Proceedings of the ACM Web Conference 2023, 927-931, 2023 | 3 | 2023 |
