| Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A Survey Y Zhu, F Lyu, C Hu, X Chen, X Liu arXiv preprint arXiv:2203.10480, 2022 | 45* | 2022 |
| 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 | 37 | 2022 |
| Optimizing feature set for click-through rate prediction F Lyu, X Tang, D Liu, L Chen, X He, X Liu Proceeding of the ACM Web Conferences 2023, 3386-3395, 2023 | 26 | 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 | 23 | 2022 |
| Result Diversification in Search and Recommendation: A Survey H Wu, Y Zhang, C Ma, F Lyu, B He, B Mitra, X Liu IEEE Transactions on Knowledge and Data Engineering, 2024 | 20* | 2024 |
| Toward a Better Understanding of Fourier Neural Operators: Analysis and Improvement from a Spectral Perspective S Qin*, F Lyu*, W Peng, D Geng, J Wang, N Gao, X Liu, LL Wang arXiv preprint arXiv:2404.07200, 2024 | 15 | 2024 |
| Explicit Feature Interaction-aware Uplift Network for Online Marketing D Liu, T Xing, H Gao, F Lyu, X He Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 14 | 2023 |
| 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 |
| Reviseval: Improving llm-as-a-judge via response-adapted references Q Zhang, Y Wang, T Yu, Y Jiang, C Wu, L Li, Y Wang, X Jiang, L Shang, ... arXiv preprint arXiv:2410.05193, 2024 | 6 | 2024 |
| 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 |
| Collaborative Performance Prediction for Large Language Models Q Zhang, F Lyu, X Liu, C Ma Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 3 | 2024 |
| Comprehending Knowledge Graphs with Large Language Models for Recommender Systems Z Cui, Y Weng, X Tang, F Lyu, D Liu, X He, C Ma arXiv preprint arXiv:2410.12229, 2024 | 3 | 2024 |
| OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction X Tang, Y Qiao, Y Fu, F Lyu, D Liu, X He Machine Learning and Knowledge Discovery in Databases: Applied Data Science …, 2023 | 3 | 2023 |
| OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction Y Weng, X Tang, Z Xu, F Lyu, D Liu, Z Sun, X He Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 2 | 2024 |
| Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation X Tang*, Y Qiao*, F Lyu*, D Liu, X He Proceedings of the 18th ACM Conference on Recommender Systems, 329-339, 2024 | 2 | 2024 |
| Towards hybrid-grained feature interaction selection for deep sparse network F Lyu, X Tang, D Liu, C Ma, W Luo, L Chen, X He, XS Liu Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| ICE-SEARCH: A Language Model-Driven Feature Selection Approach TT Yang*, TT Yang*, F Lyu*, S Liu, X Liu arXiv preprint arXiv:2402.18609, 2024 | 2 | 2024 |
| Mixed-Precision Embeddings for Large-Scale Recommendation Models S Li, Z Hu, X Tang, H Wang, S Xu, W Luo, Y Li, X He, R Li arXiv preprint arXiv:2409.20305, 2024 | 1 | 2024 |
| Towards Automated Negative Sampling in Implicit Recommendation F Lyu, Y Hu, X Tang, Y Zhang, R Tang, X Liu arXiv preprint arXiv:2311.03526, 2023 | 1 | 2023 |
| A Predict-Then-Optimize Customer Allocation Framework for Online Fund Recommendation X Tang, Y Weng, F Lyu, D Liu, X He arXiv preprint arXiv:2503.03165, 2025 | | 2025 |
Xing TangTencent, Xidian UniversityVerified email at tencent.com
