| Predicting individual retweet behavior by user similarity: A multi-task learning approach X Tang, Q Miao, Y Quan, J Tang, K Deng Knowledge-Based Systems 89, 681-688, 2015 | 67 | 2015 |
| Mobile app cross-domain recommendation with multi-graph neural network Y Ouyang*, B Guo, X Tang*, X He, J Xiong, Z Yu ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (4), 1-21, 2021 | 44* | 2021 |
| OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction F Lyu*, X Tang*, H Zhu, H Guo, Y Zhang, R Tang, X Liu Proceedings of the 31st ACM International Conference on Information …, 2022 | 35 | 2022 |
| A denoising algorithm via wiener filtering in the shearlet domain P Xu, Q Miao, X Tang, J Zhang Multimedia tools and applications 71, 1529-1558, 2014 | 31 | 2014 |
| Optimizing Feature Set for Click-through Rate Prediction F Lyu*, X Tang*, D Liu, L Chen, X He, X Liu Proceedings of the ACM Web Conference 2023, 3386–3395, 2023 | 24 | 2023 |
| Memorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction F Lyu*, X Tang*, H Guo, R Tang, X He, R Zhang, X Liu 2022 IEEE 38th International Conference on Data Engineering (ICDE), 1450-1462, 2022 | 24 | 2022 |
| Embedding Compression in Recommender Systems: A Survey S Li, H Guo, X Tang, R Tang, L Hou, R Li, R Zhang ACM Computing Surveys 56 (5), 1-21, 2024 | 21 | 2024 |
| Explicit Feature Interaction-aware Uplift Network for Online Marketing D Liu, X Tang*, H Gao, F Lyu, X He* Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 13 | 2023 |
| Adaptive low-precision training for embeddings in click-through rate prediction S Li, H Guo, L Hou, W Zhang, X Tang, R Tang, R Zhang, R Li Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4435-4443, 2023 | 13 | 2023 |
| RecDCL: Dual Contrastive Learning for Recommendation D Zhang, Y Geng, W Gong, Z Qi, Z Chen, X Tang, Y Shan, Y Dong, J Tang Proceedings of the ACM on Web Conference 2024, 3655–3666, 2024 | 12 | 2024 |
| MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems D Liu*, C Yang*, X Tang*, Y Wang, F Lyu, W Luo, X He, Z Ming, X Zhao Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 7 | 2024 |
| DIWIFT: Discovering Instance-wise Influential Features for Tabular Data D Liu*, P Cheng*, H Zhu*, X Tang*, Y Chen, X Wang, W Pan, Z Ming, ... Proceedings of the ACM Web Conference 2023, 1673–1682, 2023 | 7 | 2023 |
| Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing B He, Y Weng, X Tang, Z Cui, Z Sun, L Chen, X He, C Ma Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 5 | 2024 |
| Expected Transaction Value Optimization for Precise Marketing in FinTech Platforms Y Weng, X Tang, L Chen, D Liu, X He Workshop on Deep Learning Practice for High-Dimensional Sparse Data in …, 2023 | 4 | 2023 |
| AutoOpt: Automatic Hyperparameter Scheduling and Optimization for Deep Click-through Rate Prediction Y Li*, X Tang*, B Chen*, Y Huang, R Tang, Z Li Proceedings of the 17th ACM Conference on Recommender Systems, 183-194, 2023 | 4 | 2023 |
| Feature representation learning for click-through rate prediction: A review and new perspectives F Lyu, X Tang, D Liu, H Wu, C Ma, X He, X Liu arXiv preprint arXiv:2302.02241, 2023 | 4 | 2023 |
| AutoConjunction: Adaptive model-based feature conjunction for CTR prediction CY Chang*, X Tang*, BW Yuan, JY Hsia, Z Liu, Z Dong, X He, CJ Lin 2020 21st IEEE International Conference on Mobile Data Management (MDM), 202-209, 2020 | 4 | 2020 |
| Information propagation with retweet probability on online social network X Tang, Y Quan, Q Miao, R Hou, K Deng Intelligent Computation in Big Data Era: International Conference of Young …, 2015 | 4 | 2015 |
| Detecting circles on ego network based on structure Q Miao, X Tang, Y Quan, K Deng 2014 Tenth International Conference on Computational Intelligence and …, 2014 | 4 | 2014 |
| Prior-Guided Accuracy-Bias Tradeoff Learning for CTR Prediction in Multimedia Recommendation D Liu, Y Qiao, X Tang, L Chen, X He, Z Ming Proceedings of the 31st ACM International Conference on Multimedia, 995-1003, 2023 | 3 | 2023 |
Xiuqiang HeHKUST, TencentZweryfikowany adres z tencent.com
