Xu Zhang

According to our database, Xu Zhang authored at least 36 papers between 2007 and 2025.

Collaborative distances:

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

2025

ID-centric Pre-training for Recommendation.

Yiqing Wu, Ruobing Xie, Zhao Zhang, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Zhulin An, Yongjun Xu

ACM Trans. Inf. Syst., September, 2025

Exploration and Exploitation of Hard Negative Samples for Cross-Domain Sequential Recommendation.

Yidan Wang, Xuri Ge, Xin Chen, Ruobing Xie, Su Yan, Xu Zhang, Zhumin Chen, Jun Ma, Xin Xin

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

2024

Triple Sequence Learning for Cross-domain Recommendation.

Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Jie Zhou

ACM Trans. Inf. Syst., July, 2024

Personalized Prompt for Sequential Recommendation.

Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Qing He

IEEE Trans. Knowl. Data Eng., July, 2024

Group-to-group recommendation with neural graph matching.

Chunchen Wang, Wei Wang, Cheng Yang, Chuan Shi, Ruobing Xie, Yuanfu Lu, Haili Yang, Xu Zhang

World Wide Web (WWW), March, 2024

ID-centric Pre-training for Recommendation.

Yiqing Wu, Ruobing Xie, Zhao Zhang, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Zhanhui Kang, Yongjun Xu

CoRR, 2024

Enhanced Generative Recommendation via Content and Collaboration Integration.

Yidan Wang, Zhaochun Ren, Weiwei Sun, Jiyuan Yang, Zhixiang Liang, Xin Chen, Ruobing Xie, Su Yan, Xu Zhang, Pengjie Ren, Zhumin Chen, Xin Xin

CoRR, 2024

DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback.

Yiqing Wu, Ruobing Xie, Zhao Zhang, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Yongjun Xu

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

Style Controlling in Recommendation.

Ruobing Xie, Xin Chen, Su Yan, Jinghan Chen, Xu Zhang, Xingwu Sun, Leyu Lin, Zhanhui Kang

Proceedings of the Database Systems for Advanced Applications, 2024

Content-Based Collaborative Generation for Recommender Systems.

Yidan Wang, Zhaochun Ren, Weiwei Sun, Jiyuan Yang, Zhixiang Liang, Xin Chen, Ruobing Xie, Su Yan, Xu Zhang, Pengjie Ren, Zhumin Chen, Xin Xin

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

Plug-In Diffusion Model for Sequential Recommendation.

Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Zhanhui Kang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

UPRec: User-aware Pre-training for sequential Recommendation.

Chaojun Xiao, Ruobing Xie, Yuan Yao, Zhiyuan Liu, Maosong Sun, Xu Zhang, Leyu Lin

AI Open, January, 2023

Exploring False Hard Negative Sample in Cross-Domain Recommendation.

Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Jie Zhou

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Interpretable User Retention Modeling in Recommendation.

Rui Ding, Ruobing Xie, Xiaobo Hao, Xiaochun Yang, Kaikai Ge, Xu Zhang, Jie Zhou, Leyu Lin

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2022

Understanding WeChat User Preferences and "Wow" Diffusion.

Fanjin Zhang, Jie Tang, Xueyi Liu, Zhenyu Hou, Yuxiao Dong, Jing Zhang, Xiao Liu, Ruobing Xie, Kai Zhuang, Xu Zhang, Leyu Lin, Philip S. Yu

IEEE Trans. Knowl. Data Eng., 2022

Personalized Prompts for Sequential Recommendation.

Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Qing He

CoRR, 2022

Personalized Transfer of User Preferences for Cross-domain Recommendation.

Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Few-shot Link Prediction in Dynamic Networks.

Cheng Yang, Chunchen Wang, Yuanfu Lu, Xumeng Gong, Chuan Shi, Wei Wang, Xu Zhang

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Selective Fairness in Recommendation via Prompts.

Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Multi-view Multi-behavior Contrastive Learning in Recommendation.

Yiqing Wu, Ruobing Xie, Yongchun Zhu, Xiang Ao, Xin Chen, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Qing He

Proceedings of the Database Systems for Advanced Applications, 2022

2021

UPRec: User-Aware Pre-training for Recommender Systems.

Chaojun Xiao, Ruobing Xie, Yuan Yao, Zhiyuan Liu, Maosong Sun, Xu Zhang, Leyu Lin

CoRR, 2021

Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks.

Yongchun Zhu, Ruobing Xie, Fuzhen Zhuang, Kaikai Ge, Ying Sun, Xu Zhang, Leyu Lin, Juan Cao

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

Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users.

Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang, Ruobing Xie, Dongbo Xi, Xu Zhang, Leyu Lin, Qing He

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

Package Recommendation with Intra- and Inter-Package Attention Networks.

Chen Li, Yuanfu Lu, Wei Wang, Chuan Shi, Ruobing Xie, Haili Yang, Cheng Yang, Xu Zhang, Leyu Lin

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

Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising.

Yongchun Zhu, Yudan Liu, Ruobing Xie, Fuzhen Zhuang, Xiaobo Hao, Kaikai Ge, Xu Zhang, Leyu Lin, Juan Cao

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Adversarial Feature Translation for Multi-domain Recommendation.

Xiaobo Hao, Yudan Liu, Ruobing Xie, Kaikai Ge, Linyao Tang, Xu Zhang, Leyu Lin

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Influence Maximization in Multi-Relational Social Networks.

Wei Wang, Haili Yang, Yuanfu Lu, Yuanhang Zou, Xu Zhang, Shuting Guo, Leyu Lin

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

2020

Social Influence Attentive Neural Network for Friend-Enhanced Recommendation.

Yuanfu Lu, Ruobing Xie, Chuan Shi, Yuan Fang, Wei Wang, Xu Zhang, Leyu Lin

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

Learning to Build User-tag Profile in Recommendation System.

Su Yan, Xin Chen, Ran Huo, Xu Zhang, Leyu Lin

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Real-time Attention Based Look-alike Model for Recommender System.

Yudan Liu, Kaikai Ge, Xu Zhang, Leyu Lin

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

2017

Long non-coding RNAs and complex diseases: from experimental results to computational models.

Xing Chen, Chenggang Clarence Yan, Xu Zhang, Zhu-Hong You

Briefings Bioinform., 2017

2016

Drug-target interaction prediction: databases, web servers and computational models.

Xing Chen, Chenggang Clarence Yan, Xiaotian Zhang, Xu Zhang, Feng Dai, Jian Yin, Yongdong Zhang

Briefings Bioinform., 2016

2010

Sensing Geographical Impact Factor of Multimedia News Events for Localized Retrieval and News Filtering.

Xu Zhang, Jin-Tao Li, Yong-Dong Zhang, Shi-Yong Neo

Proceedings of the Advances in Multimedia Modeling, 2010

2009

Google challenge: incremental-learning for web video categorization on robust semantic feature space.

Yicheng Song, Yongdong Zhang, Xu Zhang, Juan Cao, Jintao Li

Proceedings of the 17th International Conference on Multimedia 2009, 2009

2007

TRECVID 2007 High-Level Feature Extraction By MCG-ICT-CAS.

Sheng Tang, Yong-Dong Zhang, Jin-Tao Li, Ming Li, Na Cai, Xu Zhang, Kun Tao, Li Tan, Shao-Xi Xu, Yuanyuan Ran

Proceedings of the TRECVID 2007 workshop participants notebook papers, 2007

TRECVID 2007 Search Tasks by NUS-ICT.

Tat-Seng Chua, Shi-Yong Neo, Yantao Zheng, Hai-Kiat Goh, Xiaoming Zhang, Sheng Tang, Yong-Dong Zhang, Jin-Tao Li, Juan Cao, Huan-Bo Luan, Qiao-Yan He, Xu Zhang

Proceedings of the TRECVID 2007 workshop participants notebook papers, 2007