Theo dơi
Fuli Feng
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Neural graph collaborative filtering
X Wang, X He, M Wang, F Feng, TS Chua
Proceedings of the 42nd international ACM SIGIR conference on Research and …, 2019
35132019
Self-supervised graph learning for recommendation
J Wu, X Wang, F Feng, X He, L Chen, J Lian, X Xie
Proceedings of the 44th international ACM SIGIR conference on research and …, 2021
13342021
Bias and debias in recommender system: A survey and future directions
J Chen, H Dong, X Wang, F Feng, M Wang, X He
ACM Transactions on Information Systems 41 (3), 1-39, 2023
9742023
Temporal relational ranking for stock prediction
F Feng, X He, X Wang, C Luo, Y Liu, TS Chua
ACM Transactions on Information Systems (TOIS) 37 (2), 1-30, 2019
4522019
Causal intervention for leveraging popularity bias in recommendation
Y Zhang, F Feng, X He, T Wei, C Song, G Ling, Y Zhang
Proceedings of the 44th international ACM SIGIR conference on research and …, 2021
4412021
Depression detection via harvesting social media: A multimodal dictionary learning solution.
G Shen, J Jia, L Nie, F Feng, C Zhang, T Hu, TS Chua, W Zhu
IJCAI 2017, 3838-3844, 2017
4412017
Tallrec: An effective and efficient tuning framework to align large language model with recommendation
K Bao, J Zhang, Y Zhang, W Wang, F Feng, X He
Proceedings of the 17th ACM Conference on Recommender Systems, 1007-1014, 2023
3922023
Model-agnostic counterfactual reasoning for eliminating popularity bias in recommender system
T Wei, F Feng, J Chen, Z Wu, J Yi, X He
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
3202021
Enhancing stock movement prediction with adversarial training
F Feng, H Chen, X He, J Ding, M Sun, TS Chua
arXiv preprint arXiv:1810.09936, 2018
3062018
Tem: Tree-enhanced embedding model for explainable recommendation
X Wang, X He, F Feng, L Nie, TS Chua
Proceedings of the 2018 world wide web conference, 1543-1552, 2018
2852018
Denoising implicit feedback for recommendation
W Wang, F Feng, X He, L Nie, TS Chua
Proceedings of the 14th ACM international conference on web search and data …, 2021
2642021
TAT-QA: A question answering benchmark on a hybrid of tabular and textual content in finance
F Zhu, W Lei, Y Huang, C Wang, S Zhang, J Lv, F Feng, TS Chua
arXiv preprint arXiv:2105.07624, 2021
2562021
Graph adversarial training: Dynamically regularizing based on graph structure
F Feng, X He, J Tang, TS Chua
IEEE Transactions on Knowledge and Data Engineering 33 (6), 2493-2504, 2019
2542019
Neural multi-task recommendation from multi-behavior data
C Gao, X He, D Gan, X Chen, F Feng, Y Li, TS Chua, D Jin
2019 IEEE 35th international conference on data engineering (ICDE), 1554-1557, 2019
2512019
Neurostylist: Neural compatibility modeling for clothing matching
X Song, F Feng, J Liu, Z Li, L Nie, J Ma
Proceedings of the 25th ACM international conference on Multimedia, 753-761, 2017
2022017
Deconfounded video moment retrieval with causal intervention
X Yang, F Feng, W Ji, M Wang, TS Chua
Proceedings of the 44th international ACM SIGIR conference on research and …, 2021
1982021
Clicks can be cheating: Counterfactual recommendation for mitigating clickbait issue
W Wang, F Feng, X He, H Zhang, TS Chua
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
1942021
Deconfounded recommendation for alleviating bias amplification
W Wang, F Feng, X He, X Wang, TS Chua
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
1892021
Is chatgpt fair for recommendation? evaluating fairness in large language model recommendation
J Zhang, K Bao, Y Zhang, W Wang, F Feng, X He
Proceedings of the 17th ACM Conference on Recommender Systems, 993-999, 2023
1692023
Diffusion recommender model
W Wang, Y Xu, F Feng, X Lin, X He, TS Chua
Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023
1552023
Hệ thống không thể thực hiện thao tác ngay bây giờ. Hăy thử lại sau.
Bài viết 1–20