Yongxin Ni

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 18

Top Topics

Brain Image Registration

Implicit Feedback

Top Venues

Publications

Youhua Li, Hanwen Du, Yongxin Ni, Yuanqi He, Junchen Fu, Xiangyan Liu, Qi Guo
An Empirical Study of Training ID-Agnostic Multi-modal Sequential Recommenders. CoRR (2024)
Yu Cheng, Yunzhu Pan, Jiaqi Zhang, Yongxin Ni, Aixin Sun, Fajie Yuan
An Image Dataset for Benchmarking Recommender Systems with Raw Pixels. SDM (2024)
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
A comprehensive review of community detection in graphs. Neurocomputing 600 (2024)
Youhua Li, Hanwen Du, Yongxin Ni, Pengpeng Zhao, Qi Guo, Fajie Yuan, Xiaofang Zhou
Multi-Modality is All You Need for Transferable Recommender Systems. ICDE (2024)
Yongxin Ni, Yu Cheng, Xiangyan Liu, Junchen Fu, Youhua Li, Xiangnan He, Yongfeng Zhang, Fajie Yuan
A Content-Driven Micro-Video Recommendation Dataset at Scale. CoRR (2023)
Zheng Yuan, Fajie Yuan, Yu Song, Youhua Li, Junchen Fu, Fei Yang, Yunzhu Pan, Yongxin Ni
Where to Go Next for Recommender Systems? ID- vs. Modality-based recommender models revisited. CoRR (2023)
Jiaqi Zhang, Yu Cheng, Yongxin Ni, Yunzhu Pan, Zheng Yuan, Junchen Fu, Youhua Li, Jie Wang, Fajie Yuan
NineRec: A Benchmark Dataset Suite for Evaluating Transferable Recommendation. CoRR (2023)
Wei Ji, Xiangyan Liu, An Zhang, Yinwei Wei, Yongxin Ni, Xiang Wang
Online Distillation-enhanced Multi-modal Transformer for Sequential Recommendation. CoRR (2023)
Weixin Chen, Li Chen, Yongxin Ni, Yuhan Zhao, Fajie Yuan, Yongfeng Zhang
FMMRec: Fairness-aware Multimodal Recommendation. CoRR (2023)
Wei Ji, Xiangyan Liu, An Zhang, Yinwei Wei, Yongxin Ni, Xiang Wang
Online Distillation-enhanced Multi-modal Transformer for Sequential Recommendation. ACM Multimedia (2023)
Zheng Yuan, Fajie Yuan, Yu Song, Youhua Li, Junchen Fu, Fei Yang, Yunzhu Pan, Yongxin Ni
Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited. SIGIR (2023)
Yu Cheng, Yunzhu Pan, Jiaqi Zhang, Yongxin Ni, Aixin Sun, Fajie Yuan
An Image Dataset for Benchmarking Recommender Systems with Raw Pixels. CoRR (2023)
Youhua Li, Hanwen Du, Yongxin Ni, Pengpeng Zhao, Qi Guo, Fajie Yuan, Xiaofang Zhou
Multi-Modality is All You Need for Transferable Recommender Systems. CoRR (2023)
Yongxin Ni, Ningxia Wang, Li Chen, Rui Chen, Lei Li
TUR: Utilizing Temporal Information to Make Unexpected E-Commerce Recommendations. WISE (2022)
Weixin Chen, Mingkai He, Yongxin Ni, Weike Pan, Li Chen, Zhong Ming
Global and Personalized Graphs for Heterogeneous Sequential Recommendation by Learning Behavior Transitions and User Intentions. RecSys (2022)
Yongxin Ni, Shan Ouyang, Lin Li, Weike Pan, Zhong Ming
Collaborative filtering with implicit feedback via learning pairwise preferences over user-groups and item-sets. CCF Trans. Pervasive Comput. Interact. 4 (1) (2022)
Yongxin Ni, Xiancong Chen, Weike Pan, Zixiang Chen, Zhong Ming
Factored heterogeneous similarity model for recommendation with implicit feedback. Neurocomputing 455 (2021)
Yongxin Ni, Zhuoxin Zhan, Weike Pan, Zhong Ming
Asymmetric Pairwise Preference Learning for Heterogeneous One-Class Collaborative Filtering. ICONIP (3) (2020)