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ORCIDYongxin Ni
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2020 – today
- 2024
[j3]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: 128169 (2024)- [c7]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: 5008-5021 - [c6]Yu Cheng, Yunzhu Pan, Jiaqi Zhang, Yongxin Ni, Aixin Sun, Fajie Yuan:
An Image Dataset for Benchmarking Recommender Systems with Raw Pixels. SDM 2024: 418-426 - [i8]Junchen Fu, Xuri Ge, Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Kaiwen Zheng, Yongxin Ni, Joemon M. Jose:
Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation. CoRR abs/2411.02992 (2024) - 2023
- [c5]Wei Ji, Xiangyan Liu, An Zhang, Yinwei Wei, Yongxin Ni, Xiang Wang:
Online Distillation-enhanced Multi-modal Transformer for Sequential Recommendation. ACM Multimedia 2023: 955-965 - [c4]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: 2639-2649 - [i7]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 abs/2303.13835 (2023) - [i6]Wei Ji, Xiangyan Liu, An Zhang, Yinwei Wei, Yongxin Ni, Xiang Wang:
Online Distillation-enhanced Multi-modal Transformer for Sequential Recommendation. CoRR abs/2308.04067 (2023) - [i5]Yu Cheng, Yunzhu Pan, Jiaqi Zhang, Yongxin Ni, Aixin Sun, Fajie Yuan:
An Image Dataset for Benchmarking Recommender Systems with Raw Pixels. CoRR abs/2309.06789 (2023) - [i4]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 abs/2309.07705 (2023) - [i3]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 abs/2309.15379 (2023) - [i2]Weixin Chen, Li Chen, Yongxin Ni, Yuhan Zhao, Fajie Yuan, Yongfeng Zhang:
FMMRec: Fairness-aware Multimodal Recommendation. CoRR abs/2310.17373 (2023) - [i1]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 abs/2312.09602 (2023) - 2022
- [j2]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): 32-44 (2022) - [c3]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: 268-277 - [c2]Yongxin Ni, Ningxia Wang, Li Chen, Rui Chen, Lei Li:
TUR: Utilizing Temporal Information to Make Unexpected E-Commerce Recommendations. WISE 2022: 553-563 - 2021
- [j1]Yongxin Ni, Xiancong Chen, Weike Pan, Zixiang Chen, Zhong Ming:
Factored heterogeneous similarity model for recommendation with implicit feedback. Neurocomputing 455: 59-67 (2021) - 2020
- [c1]Yongxin Ni, Zhuoxin Zhan, Weike Pan, Zhong Ming:
Asymmetric Pairwise Preference Learning for Heterogeneous One-Class Collaborative Filtering. ICONIP (3) 2020: 407-419
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