Chenxu Zhu

According to our database, Chenxu Zhu authored at least 19 papers between 2020 and 2024.

Collaborative distances:

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

2024

An Automatic Graph Construction Framework based on Large Language Models for Recommendation.

Rong Shan, Jianghao Lin, Chenxu Zhu, Bo Chen, Menghui Zhu, Kangning Zhang, Jieming Zhu, Ruiming Tang, Yong Yu, Weinan Zhang

CoRR, 2024

LIBER: Lifelong User Behavior Modeling Based on Large Language Models.

Chenxu Zhu, Shigang Quan, Bo Chen, Jianghao Lin, Xiaoling Cai, Hong Zhu, Xiangyang Li, Yunjia Xi, Weinan Zhang, Ruiming Tang

CoRR, 2024

Vector Quantization for Recommender Systems: A Review and Outlook.

Qijiong Liu, Xiaoyu Dong, Jiaren Xiao, Nuo Chen, Hengchang Hu, Jieming Zhu, Chenxu Zhu, Tetsuya Sakai, Xiao-Ming Wu

CoRR, 2024

ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation.

Jianghao Lin, Rong Shan, Chenxu Zhu, Kounianhua Du, Bo Chen, Shigang Quan, Ruiming Tang, Yong Yu, Weinan Zhang

Proceedings of the ACM on Web Conference 2024, 2024

AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising.

Yang Yang, Bo Chen, Chenxu Zhu, Menghui Zhu, Xinyi Dai, Huifeng Guo, Muyu Zhang, Zhenhua Dong, Ruiming Tang

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

FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction.

Hangyu Wang, Jianghao Lin, Xiangyang Li, Bo Chen, Chenxu Zhu, Ruiming Tang, Weinan Zhang, Yong Yu

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

2023

SnapHiC-D: a computational pipeline to identify differential chromatin contacts from single-cell Hi-C data.

Lindsay Lee, Miao Yu, Xiaoqi Li, Chenxu Zhu, Yanxiao Zhang, Hongyu Yu, Ziyin Chen, Shreya Mishra, Bing Ren, Yun Li, Ming Hu

Briefings Bioinform., September, 2023

AIM: Automatic Interaction Machine for Click-Through Rate Prediction.

Chenxu Zhu, Bo Chen, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu

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

Large-Scale Interactive Recommendation With Tree-Structured Reinforcement Learning.

Haokun Chen, Chenxu Zhu, Ruiming Tang, Weinan Zhang, Xiuqiang He, Yong Yu

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

ALT: Towards Fine-grained Alignment between Language and CTR Models for Click-Through Rate Prediction.

Hangyu Wang, Jianghao Lin, Xiangyang Li, Bo Chen, Chenxu Zhu, Ruiming Tang, Weinan Zhang, Yong Yu

CoRR, 2023

How Can Recommender Systems Benefit from Large Language Models: A Survey.

Jianghao Lin, Xinyi Dai, Yunjia Xi, Weiwen Liu, Bo Chen, Xiangyang Li, Chenxu Zhu, Huifeng Guo, Yong Yu, Ruiming Tang, Weinan Zhang

CoRR, 2023

AutoGen: An Automated Dynamic Model Generation Framework for Recommender System.

Chenxu Zhu, Bo Chen, Huifeng Guo, Hang Xu, Xiangyang Li, Xiangyu Zhao, Weinan Zhang, Yong Yu, Ruiming Tang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

A Feature-Based Coalition Game Framework with Privileged Knowledge Transfer for User-tag Profile Modeling.

Xianghui Zhu, Peng Du, Shuo Shao, Chenxu Zhu, Weinan Zhang, Yang Wang, Yang Cao

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

DFFM: Domain Facilitated Feature Modeling for CTR Prediction.

Wei Guo, Chenxu Zhu, Fan Yan, Bo Chen, Weiwen Liu, Huifeng Guo, Hongkun Zheng, Yong Liu, Ruiming Tang

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

2022

User-tag Profile Modeling in Recommendation System via Contrast Weighted Tag Masking.

Chenxu Zhu, Peng Du, Xianghui Zhu, Weinan Zhang, Yong Yu, Yang Cao

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

Combo-Fashion: Fashion Clothes Matching CTR Prediction with Item History.

Chenxu Zhu, Peng Du, Weinan Zhang, Yong Yu, Yang Cao

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

IntTower: The Next Generation of Two-Tower Model for Pre-Ranking System.

Xiangyang Li, Bo Chen, Huifeng Guo, Jingjie Li, Chenxu Zhu, Xiang Long, Sujian Li, Yichao Wang, Wei Guo, Longxia Mao, Jinxing Liu, Zhenhua Dong, Ruiming Tang

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

2021

QA4PRF: A Question Answering Based Framework for Pseudo Relevance Feedback.

Handong Ma, Jiawei Hou, Chenxu Zhu, Weinan Zhang, Ruiming Tang, Jincai Lai, Jieming Zhu, Xiuqiang He, Yong Yu

IEEE Access, 2021

2020

AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction.

Bin Liu, Chenxu Zhu, Guilin Li, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu

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