Yongxin Ni

According to our database, Yongxin Ni authored at least 13 papers between 2020 and 2024.

Collaborative distances:

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

2024

A comprehensive review of community detection in graphs.

Jiakang Li, Songning Lai, Zhihao Shuai, Yuan Tan, Yifan Jia, Mianyang Yu, Zichen Song, Xiaokang Peng, Ziyang Xu, Yongxin Ni, Haifeng Qiu, Jiayu Yang, Yutong Liu, Yonggang Lu

Neurocomputing, 2024

An Image Dataset for Benchmarking Recommender Systems with Raw Pixels.

Yu Cheng, Yunzhu Pan, Jiaqi Zhang, Yongxin Ni, Aixin Sun, Fajie Yuan

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Multi-Modality is All You Need for Transferable Recommender Systems.

Youhua Li, Hanwen Du, Yongxin Ni, Pengpeng Zhao, Qi Guo, Fajie Yuan, Xiaofang Zhou

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

FMMRec: Fairness-aware Multimodal Recommendation.

Weixin Chen, Li Chen, Yongxin Ni, Yuhan Zhao, Fajie Yuan, Yongfeng Zhang

CoRR, 2023

A Content-Driven Micro-Video Recommendation Dataset at Scale.

Yongxin Ni, Yu Cheng, Xiangyan Liu, Junchen Fu, Youhua Li, Xiangnan He, Yongfeng Zhang, Fajie Yuan

CoRR, 2023

NineRec: A Benchmark Dataset Suite for Evaluating Transferable Recommendation.

Jiaqi Zhang, Yu Cheng, Yongxin Ni, Yunzhu Pan, Zheng Yuan, Junchen Fu, Youhua Li, Jie Wang, Fajie Yuan

CoRR, 2023

Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited.

Zheng Yuan, Fajie Yuan, Yu Song, Youhua Li, Junchen Fu, Fei Yang, Yunzhu Pan, Yongxin Ni

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Online Distillation-enhanced Multi-modal Transformer for Sequential Recommendation.

Wei Ji, Xiangyan Liu, An Zhang, Yinwei Wei, Yongxin Ni, Xiang Wang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

Collaborative filtering with implicit feedback via learning pairwise preferences over user-groups and item-sets.

Yongxin Ni, Shan Ouyang, Lin Li, Weike Pan, Zhong Ming

CCF Trans. Pervasive Comput. Interact., 2022

TUR: Utilizing Temporal Information to Make Unexpected E-Commerce Recommendations.

Yongxin Ni, Ningxia Wang, Li Chen, Rui Chen, Lei Li

Proceedings of the Web Information Systems Engineering - WISE 2022, 2022

Global and Personalized Graphs for Heterogeneous Sequential Recommendation by Learning Behavior Transitions and User Intentions.

Weixin Chen, Mingkai He, Yongxin Ni, Weike Pan, Li Chen, Zhong Ming

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

2021

Factored heterogeneous similarity model for recommendation with implicit feedback.

Yongxin Ni, Xiancong Chen, Weike Pan, Zixiang Chen, Zhong Ming

Neurocomputing, 2021

2020

Asymmetric Pairwise Preference Learning for Heterogeneous One-Class Collaborative Filtering.

Yongxin Ni, Zhuoxin Zhan, Weike Pan, Zhong Ming

Proceedings of the Neural Information Processing - 27th International Conference, 2020