Bencheng Yan

According to our database, Bencheng Yan authored at least 15 papers between 2019 and 2025.

Collaborative distances:

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

2025

RecIS: Sparse to Dense, A Unified Training Framework for Recommendation Models.

Hua Zong, Qingtao Zeng, Zhengxiong Zhou, Zhihua Han, Zhensong Yan, Mingjie Liu, Hechen Sun, Jiawei Liu, Yiwen Hu, Qi Wang, YiHan Xian, Wenjie Guo, Houyuan Xiang, Zhiyuan Zeng, Xiangrong Sheng, Bencheng Yan, Nan Hu, Yuheng Huang, Jinqing Lian, Ziru Xu, Yan Zhang, Ju Huang, Siran Yang, Huimin Yi, Jiamang Wang, Pengjie Wang, Zhu Han, Jian Wu, Dan Ou, Jian Xu, Haihong Tang, Yuning Jiang, Bo Zheng, Lin Qu

CoRR, September, 2025

Unlocking Scaling Law in Industrial Recommendation Systems with a Three-step Paradigm based Large User Model.

Bencheng Yan, Shilei Liu, Zhiyuan Zeng, Zihao Wang, Yizhen Zhang, Yujin Yuan, Langming Liu, Jiaqi Liu, Di Wang, Wenbo Su, Pengjie Wang, Jian Xu, Bo Zheng

CoRR, February, 2025

MIM: Multi-modal Content Interest Modeling Paradigm for User Behavior Modeling.

Bencheng Yan, Si Chen, Shichang Jia, Jianyu Liu, Yueran Liu, Chenghan Fu, Wanxian Guan, Hui Zhao, Xiang Zhang, Kai Zhang, Wenbo Su, Pengjie Wang, Jian Xu, Bo Zheng, Baolin Liu

CoRR, February, 2025

UQABench: Evaluating User Embedding for Prompting LLMs in Personalized Question Answering.

Langming Liu, Shilei Liu, Yujin Yuan, Yizhen Zhang, Bencheng Yan, Zhiyuan Zeng, Zihao Wang, Jiaqi Liu, Di Wang, Wenbo Su, Pengjie Wang, Jian Xu, Bo Zheng

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

2023

Learning Adaptive Node Embeddings Across Graphs.

Gaoyang Guo, Chaokun Wang, Bencheng Yan, Yunkai Lou, Hao Feng, Junchao Zhu, Jun Chen, Fei He, Philip S. Yu

IEEE Trans. Knowl. Data Eng., June, 2023

2022

APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction.

Bencheng Yan, Pengjie Wang, Kai Zhang, Feng Li, Jian Xu, Bo Zheng

CoRR, 2022

APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction.

Bencheng Yan, Pengjie Wang, Kai Zhang, Feng Li, Hongbo Deng, Jian Xu, Bo Zheng

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction.

Feng Li, Bencheng Yan, Qingqing Long, Pengjie Wang, Wei Lin, Jian Xu, Bo Zheng

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer.

Bencheng Yan, Pengjie Wang, Kai Zhang, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Binary Code based Hash Embedding for Web-scale Applications.

Bencheng Yan, Pengjie Wang, Jinquan Liu, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

TinyGNN: Learning Efficient Graph Neural Networks.

Bencheng Yan, Chaokun Wang, Gaoyang Guo, Yunkai Lou

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

GraphAE: Adaptive Embedding across Graphs.

Bencheng Yan, Chaokun Wang

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019

NEOKNN: A Network Embedding Method Only Knowing Neighbor Nodes.

Bencheng Yan, Chaokun Wang

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Learning Network Representation via Ego-Network-Level Relationship.

Bencheng Yan, Shenglei Huang

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Watch and Ask: Video Question Generation.

Shenglei Huang, Shaohan Hu, Bencheng Yan

Proceedings of the Neural Information Processing - 26th International Conference, 2019