Pareto self-supervised training for few-shot learning Z Chen, J Ge, H Zhan, S Huang, D Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 98 | 2021 |
Learning how to propagate messages in graph neural networks T Xiao, Z Chen, D Wang, S Wang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 57 | 2021 |
Deep transfer tensor decomposition with orthogonal constraint for recommender systems Z Chen, Z Xu, D Wang Proceedings of the AAAI conference on artificial intelligence 35 (5), 4010-4018, 2021 | 41 | 2021 |
Ba-gnn: On learning bias-aware graph neural network Z Chen, T Xiao, K Kuang 2022 IEEE 38th International Conference on Data Engineering (ICDE), 3012-3024, 2022 | 39 | 2022 |
Decoupled self-supervised learning for graphs T Xiao, Z Chen, Z Guo, Z Zhuang, S Wang Advances in Neural Information Processing Systems 35, 620-634, 2022 | 35 | 2022 |
Duet: A tuning-free device-cloud collaborative parameters generation framework for efficient device model generalization Z Lv, W Zhang, S Zhang, K Kuang, F Wang, Y Wang, Z Chen, T Shen, ... Proceedings of the ACM Web Conference 2023, 3077-3085, 2023 | 34 | 2023 |
Multi-initialization meta-learning with domain adaptation Z Chen, D Wang ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 30 | 2021 |
Deep tensor factorization for multi-criteria recommender systems Z Chen, S Gai, D Wang 2019 IEEE International Conference on Big Data (Big Data), 1046-1051, 2019 | 30 | 2019 |
Improving cold-start recommendation via multi-prior meta-learning Z Chen, D Wang, S Yin Advances in Information Retrieval: 43rd European Conference on IR Research …, 2021 | 23 | 2021 |
Deep transfer collaborative filtering for recommender systems G Sibo, Z Feng, Y Kang, Z Chen, D Wang, A Tang Pacific Rim International Conference on Artificial Intelligence, 515-528, 2019 | 21* | 2019 |
Learn goal-conditioned policy with intrinsic motivation for deep reinforcement learning J Liu, D Wang, Q Tian, Z Chen Proceedings of the AAAI conference on artificial intelligence 36 (7), 7558-7566, 2022 | 20 | 2022 |
Ideal: Toward high-efficiency device-cloud collaborative and dynamic recommendation system Z Lv, Z Chen, S Zhang, K Kuang, W Zhang, M Li, BC Ooi, F Wu arXiv preprint arXiv:2302.07335, 2023 | 15 | 2023 |
The role of deconfounding in meta-learning Y Jiang, Z Chen, K Kuang, L Yuan, X Ye, Z Wang, F Wu, Y Wei International Conference on Machine Learning, 10161-10176, 2022 | 13 | 2022 |
Global and local tensor factorization for multi-criteria recommender system S Wang, J Yang, Z Chen, H Yuan, J Geng, Z Hai Patterns 1 (2), 2020 | 12 | 2020 |
End-to-end open-set semi-supervised node classification with out-of-distribution detection T Huang, D Wang, Y Fang, Z Chen IJCAI, 2022 | 11 | 2022 |
MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters M Zhang, J Yuan, Y He, W Li, Z Chen, K Kuang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 10 | 2023 |
Representation matters when learning from biased feedback in recommendation T Xiao, Z Chen, S Wang Proceedings of the 31st ACM International Conference on Information …, 2022 | 10 | 2022 |
Adaptive adversarial training for meta reinforcement learning S Chen, Z Chen, D Wang 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 9 | 2021 |
Multi-modal meta continual learning S Gai, Z Chen, D Wang 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 7 | 2021 |
Intelligent model update strategy for sequential recommendation Z Lv, W Zhang, Z Chen, S Zhang, K Kuang Proceedings of the ACM on Web Conference 2024, 3117-3128, 2024 | 6 | 2024 |