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ORCIDYinfeng Li
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2020 – today
- 2024
[c8]Kepu Zhang, Teng Shi, Sunhao Dai, Xiao Zhang, Yinfeng Li, Jing Lu, Xiaoxue Zang, Yang Song, Jun Xu:
SAQRec: Aligning Recommender Systems to User Satisfaction via Questionnaire Feedback. CIKM 2024: 3165-3175- [c7]Guanyu Lin
, Chen Gao, Yu Zheng, Yinfeng Li, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li:
Inverse Learning with Extremely Sparse Feedback for Recommendation. WSDM 2024: 396-404 - [i8]Yinfeng Li, Fengkui Ju:
A minimal coalition logic. CoRR abs/2403.14704 (2024) - [i7]Yinfeng Li, Fengkui Ju:
Completeness of two fragments of a logic for conditional strategic reasoning. CoRR abs/2405.11418 (2024) - [i6]Jiaxin Deng, Shiyao Wang, Song Lu, Yinfeng Li, Xinchen Luo, Yuanjun Liu, Peixing Xu, Guorui Zhou:
ELASTIC: Efficient Linear Attention for Sequential Interest Compression. CoRR abs/2408.09380 (2024) - [i5]Yinfeng Li, Fengkui Ju:
Completeness of coalition logics with seriality, independence of agents, or determinism. CoRR abs/2409.14635 (2024) - 2023
- [j5]Yue Teng, Jinlei Bao, Yinfeng Li, Haichun Ye:
Effect analysis of neural network robot system in music relaxation training to alleviate adverse reactions of chemotherapy in patients with breast cancer. Frontiers Neurorobotics 17 (2023) - [j4]Chen Gao, Yu Zheng, Nian Li, Yinfeng Li, Yingrong Qin, Jinghua Piao, Yuhan Quan, Jianxin Chang, Depeng Jin, Xiangnan He, Yong Li:
A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions. Trans. Recomm. Syst. 1(1): 1-51 (2023) - [i4]Guanyu Lin, Chen Gao, Yu Zheng, Yinfeng Li, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li:
Inverse Learning with Extremely Sparse Feedback for Recommendation. CoRR abs/2311.08302 (2023) - 2022
- [c6]Yinfeng Li, Chen Gao, Xiaoyi Du, Huazhou Wei, Hengliang Luo, Depeng Jin, Yong Li:
Spatiotemporal-aware Session-based Recommendation with Graph Neural Networks. CIKM 2022: 1209-1218 - [c5]Yinfeng Li, Chen Gao, Xiaoyi Du, Huazhou Wei, Hengliang Luo, Depeng Jin, Yong Li:
Automatically Discovering User Consumption Intents in Meituan. KDD 2022: 3259-3269 - [c4]Yinfeng Li, Chen Gao, Hengliang Luo, Depeng Jin, Yong Li:
Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation. SIGIR 2022: 1997-2002 - [c3]Guanyu Lin, Chen Gao, Yinfeng Li, Yu Zheng, Zhiheng Li, Depeng Jin, Yong Li:
Dual Contrastive Network for Sequential Recommendation. SIGIR 2022: 2686-2691 - [i3]Yinfeng Li, Chen Gao, Quanming Yao, Tong Li, Depeng Jin, Yong Li:
DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction. CoRR abs/2208.06794 (2022) - [i2]Guanyu Lin, Chen Gao, Yinfeng Li, Yu Zheng, Zhiheng Li, Depeng Jin, Yong Li:
Dual Contrastive Network for Sequential Recommendation with User and Item-Centric Perspectives. CoRR abs/2209.08446 (2022) - 2021
- [c2]Chen Gao, Yinfeng Li, Quanming Yao, Depeng Jin, Yong Li:
Progressive Feature Interaction Search for Deep Sparse Network. NeurIPS 2021: 392-403 - [i1]Chen Gao, Yu Zheng, Nian Li, Yinfeng Li, Yingrong Qin, Jinghua Piao, Yuhan Quan, Jianxin Chang, Depeng Jin, Xiangnan He, Yong Li:
Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions. CoRR abs/2109.12843 (2021)
2010 – 2019
- 2019
- [j3]Junxuan Zhao, Yinfeng Li, Hao Xu, Hongchao Liu:
Probabilistic Prediction of Pedestrian Crossing Intention Using Roadside LiDAR Data. IEEE Access 7: 93781-93790 (2019) - [j2]Yinfeng Li, Dingcheng Yang, Yu Xu, Lin Xiao, Haole Chen:
Throughput Maximization for UAV-Enabled Relaying in Wireless Powered Communication Networks. Sensors 19(13): 2989 (2019) - 2017
- [j1]Haole Chen, Lin Xiao, Yinfeng Li, Dingcheng Yang, Xiaoxiao Zhou:
Precoding Design and Power Allocation in Two-User MU-MIMO Wireless Ad Hoc Networks. Symmetry 9(11): 247 (2017) - 2015
- [c1]Xiaosheng Yang, Yinfeng Li:
Contour Extraction Based on Human Visual System. CCCV (2) 2015: 394-405
Coauthor Index
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