Wanxian Guan

According to our database, Wanxian Guan authored at least 13 papers between 2019 and 2026.

Collaborative distances:

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

2026

MOON3.0: Reasoning-aware Multimodal Representation Learning for E-commerce Product Understanding.

Junxian Wu, Chenghan Fu, Zhanheng Nie, Daoze Zhang, Bowen Wan, Wanxian Guan, Chuan Yu, Jian Xu, Bo Zheng

CoRR, April, 2026

MOON: Generative MLLM-based Multimodal Representation Learning for E-commerce Product Understanding.

Daoze Zhang, Chenghan Fu, Zhanheng Nie, Jianyu Liu, Wanxian Guan, Yuan Gao, Jun Song, Pengjie Wang, Jian Xu, Bo Zheng

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

2025

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding.

Zhanheng Nie, Chenghan Fu, Daoze Zhang, Junxian Wu, Wanxian Guan, Pengjie Wang, Jian Xu, Bo Zheng

CoRR, November, 2025

MOON Embedding: Multimodal Representation Learning for E-commerce Search Advertising.

Chenghan Fu, Daoze Zhang, Yukang Lin, Zhanheng Nie, Xiang Zhang, Jianyu Liu, Yueran Liu, Wanxian Guan, Pengjie Wang, Jian Xu, Bo Zheng

CoRR, November, 2025

Creative4U: MLLMs-based Advertising Creative Image Selector with Comparative Reasoning.

Yukang Lin, Xiang Zhang, Shichang Jia, Bowen Wan, Chenghan Fu, Xudong Ren, Yueran Liu, Wanxian Guan, Pengjie Wang, Jian Xu, Bo Zheng, Baolin Liu

CoRR, August, 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

2024

Unified Visual Preference Learning for User Intent Understanding.

Yihua Wen, Si Chen, Yu Tian, Wanxian Guan, Pengjie Wang, Hongbo Deng, Jian Xu, Bo Zheng, Zihao Li, Lixin Zou, Chenliang Li

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

E-commerce Search via Content Collaborative Graph Neural Network.

Guipeng Xv, Chen Lin, Wanxian Guan, Jinping Gou, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

BOMGraph: Boosting Multi-scenario E-commerce Search with a Unified Graph Neural Network.

Shuai Fan, Jinping Gou, Yang Li, Jiaxing Bai, Chen Lin, Wanxian Guan, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng

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

2022

Visual Encoding and Debiasing for CTR Prediction.

Si Chen, Chen Lin, Wanxian Guan, Jiayi Wei, Xingyuan Bu, He Guo, Hui Li, Xubin Li, Jian Xu, Bo Zheng

CoRR, 2022

Pretraining Representations of Multi-modal Multi-query E-commerce Search.

Xinyi Liu, Wanxian Guan, Lianyun Li, Hui Li, Chen Lin, Xubin Li, Si Chen, Jian Xu, Hongbo Deng, Bo Zheng

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Visual Encoding and Debiasing for CTR Prediction.

Guipeng Xv, Si Chen, Chen Lin, Wanxian Guan, Xingyuan Bu, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2019

Personalized Attraction Enhanced Sponsored Search with Multi-task Learning.

Wei Zhao, Boxuan Zhang, Beidou Wang, Ziyu Guan, Wanxian Guan, Guang Qiu, Wei Ning, Jiming Chen, Hongmin Liu

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019