| Diffusion augmentation for sequential recommendation Q Liu, F Yan, X Zhao, Z Du, H Guo, R Tang, F Tian Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 59 | 2023 |
| Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey Q Liu, J Zhu, Y Yang, Q Dai, Z Du, XM Wu, Z Zhao, R Zhang, Z Dong KDD' 24: ACM SIGKDD International Conference on Knowledge Discovery and Data …, 2024 | 20 | 2024 |
| Single-shot feature selection for multi-task recommendations Y Wang, Z Du, X Zhao, B Chen, H Guo, R Tang, Z Dong Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 20 | 2023 |
| Cooperative lane-changing in mixed traffic: a deep reinforcement learning approach X Yao, Z Du, Z Sun, SC Calvert, A Ji Transportmetrica A: Transport Science, 1-23, 2024 | 8 | 2024 |
| ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems P Jia, Y Wang, Z Du, X Zhao, Y Wang, B Chen, W Wang, H Guo, R Tang KDD' 24: ACM SIGKDD International Conference on Knowledge Discovery and Data …, 2024 | 5 | 2024 |
| LightCS: Selecting Quadratic Feature Crosses in Linear Complexity Z Du, J Chen, Q Jia, C Wu, J Zhu, Z Dong, R Tang Companion Proceedings of the ACM on Web Conference 2024, 38-46, 2024 | 2 | 2024 |
| SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval X Li, X Li, H Zhang, Z Du, P Jia, Y Wang, X Zhao, H Guo, R Tang arXiv preprint arXiv:2412.17250, 2024 | 1 | 2024 |
| Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation P Jia, D Xu, X Li, Z Du, X Li, X Zhao, Y Wang, Y Wang, H Guo, R Tang arXiv preprint arXiv:2412.08519, 2024 | 1 | 2024 |
| UniEmbedding: Learning Universal Multi-Modal Multi-Domain Item Embeddings via User-View Contrastive Learning B Dai, Z Du, J Zhu, J Xu, D Zou, Q Dai, Z Dong, R Zhang, HT Zheng Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 1 | 2024 |
| Ranking-Aware Unbiased Post-Click Conversion Rate Estimation via AUC Optimization on Entire Exposure Space Y Liu, Q Jia, S Shi, C Wu, Z Du, Z Xie, R Tang, M Zhang, M Li Proceedings of the 18th ACM Conference on Recommender Systems, 360-369, 2024 | 1 | 2024 |
| Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation Y Zhao, Z Du, Q Jia, L Zhang, Z Dong, R Tang arXiv preprint arXiv:2405.12892, 2024 | 1 | 2024 |
| SampleLLM: Optimizing Tabular Data Synthesis in Recommendations J Gao, Z Du, X Li, X Zhao, Y Wang, X Li, H Guo, R Tang arXiv preprint arXiv:2501.16125, 2025 | | 2025 |
| RecSys Arena: Pair-wise Recommender System Evaluation with Large Language Models Z Wu, Q Jia, C Wu, Z Du, S Wang, Z Wang, Z Dong arXiv preprint arXiv:2412.11068, 2024 | | 2024 |
| AltFS: Agency-light Feature Selection with Large Language Models in Deep Recommender Systems P Jia, Z Du, Y Wang, X Zhao, X Li, Y Wang, Q Liu, H Guo, R Tang arXiv preprint arXiv:2412.08516, 2024 | | 2024 |
| A Tutorial on Feature Interpretation in Recommender Systems Z Du, C Wu, Q Jia, J Zhu, X Chen Proceedings of the 18th ACM Conference on Recommender Systems, 1281-1282, 2024 | | 2024 |
| Prompt Tuning as User Inherent Profile Inference Machine Y Lu, Z Du, X Li, X Zhao, W Liu, Y Wang, H Guo, R Tang, Z Dong, Y Duan arXiv preprint arXiv:2408.06577, 2024 | | 2024 |
| MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising Q Dai, J Xiao, Z Du, J Zhu, C Luo, XM Wu, Z Dong THE WEB CONFERENCE 2025, 0 | | |