Zhaocheng Du

According to our database, Zhaocheng Du authored at least 11 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Prompt Tuning as User Inherent Profile Inference Machine.

Yusheng Lu, Zhaocheng Du, Xiangyang Li, Xiangyu Zhao, Weiwen Liu, Yichao Wang, Huifeng Guo, Ruiming Tang, Zhenhua Dong, Yongrui Duan

CoRR, 2024

Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation.

Yuang Zhao, Zhaocheng Du, Qinglin Jia, Linxuan Zhang, Zhenhua Dong, Ruiming Tang

CoRR, 2024

ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems.

Pengyue Jia, Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Yichao Wang, Bo Chen, Wanyu Wang, Huifeng Guo, Ruiming Tang

CoRR, 2024

LightCS: Selecting Quadratic Feature Crosses in Linear Complexity.

Zhaocheng Du, Junhao Chen, Qinglin Jia, Chuhan Wu, Jieming Zhu, Zhenhua Dong, Ruiming Tang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Ranking-Aware Unbiased Post-Click Conversion Rate Estimation via AUC Optimization on Entire Exposure Space.

Yu Liu, Qinglin Jia, Shuting Shi, Chuhan Wu, Zhaocheng Du, Zheng Xie, Ruiming Tang, Muyu Zhang, Ming Li

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

A Tutorial on Feature Interpretation in Recommender Systems.

Zhaocheng Du, Chuhan Wu, Qinglin Jia, Jieming Zhu, Xu Chen

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey.

Qijiong Liu, Jieming Zhu, Yanting Yang, Quanyu Dai, Zhaocheng Du, Xiao-Ming Wu, Zhou Zhao, Rui Zhang, Zhenhua Dong

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems.

Pengyue Jia, Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Yichao Wang, Bo Chen, Wanyu Wang, Huifeng Guo, Ruiming Tang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

UniEmbedding: Learning Universal Multi-Modal Multi-Domain Item Embeddings via User-View Contrastive Learning.

Boqi Dai, Zhaocheng Du, Jieming Zhu, Jintao Xu, Deqing Zou, Quanyu Dai, Zhenhua Dong, Rui Zhang, Hai-Tao Zheng

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Single-shot Feature Selection for Multi-task Recommendations.

Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang, Zhenhua Dong

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Diffusion Augmentation for Sequential Recommendation.

Qidong Liu, Fan Yan, Xiangyu Zhao, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Feng Tian

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023