Bo Zhang

According to our database, Bo Zhang authored at least 16 papers between 2019 and 2023.

Collaborative distances:

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

2023

Group-based social diffusion in recommendation.

Xumin Chen, Ruobing Xie, Zhijie Qiu, Peng Cui, Ziwei Zhang, Shukai Liu, Shiqiang Yang, Bo Zhang, Leyu Lin

World Wide Web (WWW), July, 2023

Permutation-Equivariant and Proximity-Aware Graph Neural Networks With Stochastic Message Passing.

Ziwei Zhang, Chenhao Niu, Peng Cui, Jian Pei, Bo Zhang, Wenwu Zhu

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

Incorporating Link Prediction into Multi-Relational Item Graph Modeling for Session-Based Recommendation.

Wen Wang, Wei Zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, Hongyuan Zha

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

Better Pre-Training by Reducing Representation Confusion.

Haojie Zhang, Mingfei Liang, Ruobing Xie, Zhenlong Sun, Bo Zhang, Leyu Lin

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Multi-granularity Item-Based Contrastive Recommendation.

Ruobing Xie, Zhijie Qiu, Bo Zhang, Leyu Lin

Proceedings of the Database Systems for Advanced Applications, 2023

2022

COSINE: Compressive Network Embedding on Large-Scale Information Networks.

Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Maosong Sun, Zhichong Fang, Bo Zhang, Leyu Lin

IEEE Trans. Knowl. Data Eng., 2022

Improving Accuracy and Diversity in Matching of Recommendation With Diversified Preference Network.

Ruobing Xie, Qi Liu, Shukai Liu, Ziwei Zhang, Peng Cui, Bo Zhang, Leyu Lin

IEEE Trans. Big Data, 2022

Improve Transformer Pre-Training with Decoupled Directional Relative Position Encoding and Representation Differentiations.

Haojie Zhang, Mingfei Liang, Ruobing Xie, Zhenlong Sun, Bo Zhang, Leyu Lin

CoRR, 2022

Contrastive Cross-domain Recommendation in Matching.

Ruobing Xie, Qi Liu, Liangdong Wang, Shukai Liu, Bo Zhang, Leyu Lin

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

Enhanced Accuracy and Robustness via Multi-teacher Adversarial Distillation.

Shiji Zhao, Jie Yu, Zhenlong Sun, Bo Zhang, Xingxing Wei

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

MMNet: Multi-granularity Multi-mode Network for Item-Level Share Rate Prediction.

Haomin Yu, Mingfei Liang, Ruobing Xie, Zhenlong Sun, Bo Zhang, Leyu Lin

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

2020

Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction.

Wen Wang, Wei Zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, Hongyuan Zha

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Group-Aware Long- and Short-Term Graph Representation Learning for Sequential Group Recommendation.

Wen Wang, Wei Zhang, Jun Rao, Zhijie Qiu, Bo Zhang, Leyu Lin, Hongyuan Zha

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Internal and Contextual Attention Network for Cold-start Multi-channel Matching in Recommendation.

Ruobing Xie, Zhijie Qiu, Jun Rao, Yi Liu, Bo Zhang, Leyu Lin

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation.

Qi Liu, Ruobing Xie, Lei Chen, Shukai Liu, Ke Tu, Peng Cui, Bo Zhang, Leyu Lin

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

2019

A Unified Framework for Community Detection and Network Representation Learning.

Cunchao Tu, Xiangkai Zeng, Hao Wang, Zhengyan Zhang, Zhiyuan Liu, Maosong Sun, Bo Zhang, Leyu Lin

IEEE Trans. Knowl. Data Eng., 2019