E-LIB Suche - Ergebnisse für: Ma, Fenglong

1

Beyond Co-Occurrence: Multi-Modal Session-Based Recommendat..:

Zhang, Xiaokun ; Xu, Bo ; Ma, Fenglong...
IEEE Transactions on Knowledge and Data Engineering. 36 (2024) 4 - p. 1450-1462 , 2024

Link: https://doi.org/10.1109/..

2

Rethinking Personalized Federated Learning with Clustering-..:

, In: Advances in Knowledge Discovery and Data Mining; Lecture Notes in Computer Science,

Wang, Jiaqi ; Chen, Yuzhong ; Wu, Yuhang... - p. 155-167 , 2024

Link: https://doi.org/10.1007/..

3

FineRec: Exploring Fine-grained Sequential Recommendation:

, In: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval,

Zhang, Xiaokun ; Xu, Bo ; Wu, Youlin... - p. 1599-1608 , 2024

Link: https://dl.acm.org/doi/1..

4

Supporting physical activity adoption through recommender s..:

Agans, Jennifer P ; Ma, Fenglong ; Schade, Serena.
Journal of Health Psychology. , 2024

Link: https://doi.org/10.1177/..

5

DeepApnea: Deep Learning Based Sleep Apnea Detection Using ..:

, In: 2024 IEEE International Conference on Pervasive Computing and Communications (PerCom),

Liu, Zida ; Chen, Xianda ; Ma, Fenglong.. - p. 206-216 , 2024

Link: https://doi.org/10.1109/..

6

Generative AI in the Wild: Prospects, Challenges, and Strat..:

, In: Proceedings of the CHI Conference on Human Factors in Computing Systems,

Sun, Yuan ; Jang, Eunchae ; Ma, Fenglong. - p. 1-16 , 2024

Link: https://dl.acm.org/doi/1..

7

Disentangling ID and Modality Effects for Session-based Rec..:

, In: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval,

Zhang, Xiaokun ; Xu, Bo ; Ren, Zhaochun... - p. 1883-1892 , 2024

Link: https://dl.acm.org/doi/1..

8

Clinical Trial Retrieval via Multi-grained Similarity Learn..:

, In: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval,

Luo, Junyu ; Qian, Cheng ; Glass, Lucas. - p. 2950-2954 , 2024

Link: https://dl.acm.org/doi/1..

9

Deep learning methods in biomedical informatics:

Zhang, Jinli ; Tony Hu, Xiaohua ; Cereda, Maurizio.
Methods. 226 (2024) - p. 162-163 , 2024

Link: https://doi.org/10.1016/..

10

pADR: Towards Personalized Adverse Drug Reaction Prediction..:

, In: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management,

Luo, Junyu ; Qian, Cheng ; Wang, Xiaochen.. - p. 4724-4730 , 2023

Link: https://dl.acm.org/doi/1..

11

AutoML in The Wild: Obstacles, Workarounds, and Expectation:

, In: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems,

Sun, Yuan ; Song, Qiurong ; Gui, Xinning.. - p. 1-15 , 2023

Link: https://dl.acm.org/doi/1..

12

Bi-preference Learning Heterogeneous Hypergraph Networks fo..:

Zhang, Xiaokun ; Xu, Bo ; Ma, Fenglong...
ACM Transactions on Information Systems. 42 (2023) 3 - p. 1-28 , 2023

Link: https://doi.org/10.1145/..

13

Forecasting User Interests Through Topic Tag Predictions in..:

Adishesha, Amogh Subbakrishna ; Jakielaszek, Lily ; Azhar, Fariha...
IEEE Journal of Biomedical and Health Informatics. 27 (2023) 7 - p. 3645-3656 , 2023

Link: https://doi.org/10.1109/..

14

Multimodal Federated Learning: A Survey:

Che, Liwei ; Wang, Jiaqi ; Zhou, Yao.
Sensors. 23 (2023) 15 - p. 6986 , 2023

Link: https://doi.org/10.3390/..

15

Who Gets the Flu? Individualized Validation of Influenza-li..:

Zhong, Shiran ; Ma, Fenglong ; Gao, Jing.
International Journal of Environmental Research and Public Health. 20 (2023) 10 - p. 5865 , 2023

Link: https://doi.org/10.3390/..