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Bencheng Yan
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2020 – today
- 2025
- [i7]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:
MIM: Multi-modal Content Interest Modeling Paradigm for User Behavior Modeling. CoRR abs/2502.00321 (2025) - [i6]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:
Unlocking Scaling Law in Industrial Recommendation Systems with a Three-step Paradigm based Large User Model. CoRR abs/2502.08309 (2025) - [i5]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:
UQABench: Evaluating User Embedding for Prompting LLMs in Personalized Question Answering. CoRR abs/2502.19178 (2025) - 2023
- [j1]Gaoyang Guo
, Chaokun Wang
Learning Adaptive Node Embeddings Across Graphs. IEEE Trans. Knowl. Data Eng. 35(6): 6028-6042 (2023) - 2022
- [c9]Bencheng Yan, Pengjie Wang, Kai Zhang, Feng Li, Hongbo Deng, Jian Xu, Bo Zheng:
APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction. NeurIPS 2022 - [i4]Bencheng Yan, Pengjie Wang, Kai Zhang, Feng Li, Jian Xu, Bo Zheng:
APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction. CoRR abs/2203.16218 (2022) - 2021
- [c8]Bencheng Yan, Pengjie Wang, Jinquan Liu, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng:
Binary Code based Hash Embedding for Web-scale Applications. CIKM 2021: 3563-3567 - [c7]Bencheng Yan, Pengjie Wang, Kai Zhang, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng:
Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer. CIKM 2021: 3568-3572 - [c6]Feng Li, Bencheng Yan, Qingqing Long, Pengjie Wang, Wei Lin, Jian Xu, Bo Zheng:
Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction. SIGIR 2021: 2161-2165 - [i3]Feng Li, Bencheng Yan, Qingqing Long, Pengjie Wang, Wei Lin, Jian Xu, Bo Zheng:
Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction. CoRR abs/2105.07752 (2021) - [i2]Bencheng Yan, Pengjie Wang, Kai Zhang, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng:
Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer. CoRR abs/2108.11513 (2021) - [i1]Bencheng Yan, Pengjie Wang, Jinquan Liu, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng:
Binary Code based Hash Embedding for Web-scale Applications. CoRR abs/2109.02471 (2021) - 2020
- [c5]Bencheng Yan, Chaokun Wang:
GraphAE: Adaptive Embedding across Graphs. ICDE 2020: 1958-1961 - [c4]Bencheng Yan, Chaokun Wang, Gaoyang Guo, Yunkai Lou:
TinyGNN: Learning Efficient Graph Neural Networks. KDD 2020: 1848-1856
2010 – 2019
- 2019
- [c3]Shenglei Huang, Shaohan Hu, Bencheng Yan:
Watch and Ask: Video Question Generation. ICONIP (3) 2019: 209-221 - [c2]Bencheng Yan, Shenglei Huang:
Learning Network Representation via Ego-Network-Level Relationship. ICONIP (4) 2019: 414-422 - [c1]Bencheng Yan, Chaokun Wang:
NEOKNN: A Network Embedding Method Only Knowing Neighbor Nodes. ICONIP (5) 2019: 523-531
Coauthor Index
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last updated on 2025-05-03 00:02 CEST by the dblp team
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