FinBrain: when finance meets AI 2.0 X Zheng, M Zhu, Q Li, C Chen, Y Tan Frontiers of Information Technology & Electronic Engineering 20 (7), 914-924, 2019 | 102 | 2019 |
Thermal-aware correlated two-level scheduling of real-time tasks with reduced processor energy on heterogeneous MPSoCs J Zhou, J Yan, K Cao, Y Tan, T Wei, M Chen, G Zhang, X Chen, S Hu Journal of Systems Architecture 82, 1-11, 2018 | 93 | 2018 |
Exploiting variational domain-invariant user embedding for partially overlapped cross domain recommendation W Liu, X Zheng, J Su, M Hu, Y Tan, C Chen Proceedings of the 45th International ACM SIGIR conference on research and …, 2022 | 52 | 2022 |
Joint internal multi-interest exploration and external domain alignment for cross domain sequential recommendation W Liu, X Zheng, C Chen, J Su, X Liao, M Hu, Y Tan Proceedings of the ACM web conference 2023, 383-394, 2023 | 44 | 2023 |
4sdrug: Symptom-based set-to-set small and safe drug recommendation Y Tan, C Kong, L Yu, P Li, C Chen, X Zheng, VS Hertzberg, C Yang Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 44 | 2022 |
Walklm: A uniform language model fine-tuning framework for attributed graph embedding Y Tan, Z Zhou, H Lv, W Liu, C Yang Advances in neural information processing systems 36, 13308-13325, 2023 | 30 | 2023 |
Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation. W Liu, C Chen, X Liao, M Hu, J Yin, Y Tan, L Zheng IJCAI, 2206-2214, 2023 | 27 | 2023 |
Metacare++: Meta-learning with hierarchical subtyping for cold-start diagnosis prediction in healthcare data Y Tan, C Yang, X Wei, C Chen, W Liu, L Li, J Zhou, X Zheng Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 27 | 2022 |
Multi-facet recommender networks with spherical optimization Y Tan, C Yang, X Wei, Y Ma, X Zheng 2021 IEEE 37th International Conference on Data Engineering (ICDE), 1524-1535, 2021 | 20 | 2021 |
Learning accurate and bidirectional transformation via dynamic embedding transportation for cross-domain recommendation W Liu, C Chen, X Liao, M Hu, Y Tan, F Wang, X Zheng, YS Ong Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 8815-8823, 2024 | 16 | 2024 |
Enhancing recommendation with automated tag taxonomy construction in hyperbolic space Y Tan, C Yang, X Wei, C Chen, L Li, X Zheng 2022 IEEE 38th International Conference on Data Engineering (ICDE), 1180-1192, 2022 | 16 | 2022 |
HyperFed: hyperbolic prototypes exploration with consistent aggregation for non-IID data in federated learning X Liao, W Liu, C Chen, P Zhou, H Zhu, Y Tan, J Wang, Y Qi arXiv preprint arXiv:2307.14384, 2023 | 14 | 2023 |
Musegraph: Graph-oriented instruction tuning of large language models for generic graph mining Y Tan, H Lv, X Huang, J Zhang, S Wang, C Yang arXiv preprint arXiv:2403.04780, 2024 | 13 | 2024 |
Differentially private sparse mapping for privacy-preserving cross domain recommendation W Liu, X Zheng, C Chen, M Hu, X Liao, F Wang, Y Tan, D Meng, J Wang Proceedings of the 31st ACM international conference on multimedia, 6243-6252, 2023 | 12 | 2023 |
Contrastive intra-and inter-modality generation for enhancing incomplete multimedia recommendation Z Lin, Y Tan, Y Zhan, W Liu, F Wang, C Chen, S Wang, C Yang Proceedings of the 31st ACM International Conference on Multimedia, 6234-6242, 2023 | 12 | 2023 |
CE-RCFR: Robust counterfactual regression for consensus-enabled treatment effect estimation F Wang, C Chen, W Liu, T Fan, X Liao, Y Tan, L Qi, X Zheng Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 9 | 2024 |
User distribution mapping modelling with collaborative filtering for cross domain recommendation W Liu, C Chen, X Liao, M Hu, J Su, Y Tan, F Wang Proceedings of the ACM Web Conference 2024, 334-343, 2024 | 9 | 2024 |
Rethinking the representation in federated unsupervised learning with non-iid data X Liao, W Liu, C Chen, P Zhou, F Yu, H Zhu, B Yao, T Wang, X Zheng, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 9 | 2024 |
Representation learning meets optimization-derived networks: From single-view to multi-view Z Fang, S Du, Z Cai, S Lan, C Wu, Y Tan, S Wang IEEE Transactions on Multimedia, 2024 | 7 | 2024 |
HOGDA: Boosting Semi-supervised Graph Domain Adaptation via High-Order Structure-Guided Adaptive Feature Alignment J Dan, W Liu, M Liu, C Xie, S Dong, G Ma, Y Tan, J Xing Proceedings of the 32nd ACM International Conference on Multimedia, 11109-11118, 2024 | 6 | 2024 |