| Qwen technical report J Bai, S Bai, Y Chu, Z Cui, K Dang, X Deng, Y Fan, W Ge, Y Han, F Huang, ... arXiv preprint arXiv:2309.16609, 2023 | 763 | 2023 |
| Every document owns its structure: Inductive text classification via graph neural networks Y Zhang, X Yu, Z Cui, S Wu, Z Wen, L Wang arXiv preprint arXiv:2004.13826, 2020 | 299 | 2020 |
| Fi-gnn: Modeling feature interactions via graph neural networks for ctr prediction Z Li, Z Cui, S Wu, X Zhang, L Wang Proceedings of the 28th ACM international conference on information and …, 2019 | 215 | 2019 |
| M6-rec: Generative pretrained language models are open-ended recommender systems Z Cui, J Ma, C Zhou, J Zhou, H Yang arXiv preprint arXiv:2205.08084, 2022 | 144 | 2022 |
| Dressing as a whole: Outfit compatibility learning based on node-wise graph neural networks Z Cui, Z Li, S Wu, XY Zhang, L Wang The world wide web conference, 307-317, 2019 | 134 | 2019 |
| GraphFM: Graph factorization machines for feature interaction modeling Z Li, S Wu, Z Cui, X Zhang arXiv preprint arXiv:2105.11866, 2021 | 22 | 2021 |
| A graph-based relevance matching model for ad-hoc retrieval Y Zhang, J Zhang, Z Cui, S Wu, L Wang Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4688-4696, 2021 | 20 | 2021 |
| Dygcn: Efficient dynamic graph embedding with graph convolutional network Z Cui, Z Li, S Wu, X Zhang, Q Liu, L Wang, M Ai IEEE Transactions on Neural Networks and Learning Systems 35 (4), 4635-4646, 2022 | 15 | 2022 |
| Graph-based hierarchical relevance matching signals for ad-hoc retrieval X Yu, W Xu, Z Cui, S Wu, L Wang Proceedings of the Web Conference 2021, 778-787, 2021 | 14 | 2021 |
| Motif-aware sequential recommendation Z Cui, Y Cai, S Wu, X Ma, L Wang Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 13 | 2021 |
| Disentangled item representation for recommender systems Z Cui, F Yu, S Wu, Q Liu, L Wang ACM Transactions on Intelligent Systems and Technology (TIST) 12 (2), 1-20, 2021 | 12 | 2021 |
| Dygcn: Dynamic graph embedding with graph convolutional network Z Cui, Z Li, S Wu, X Zhang, Q Liu, L Wang, M Ai arXiv preprint arXiv:2104.02962, 2021 | 11 | 2021 |
| Semi-supervised compatibility learning across categories for clothing matching Z Li, Z Cui, S Wu, X Zhang, L Wang 2019 IEEE International Conference on Multimedia and Expo (ICME), 484-489, 2019 | 9 | 2019 |
| Ofasys: A multi-modal multi-task learning system for building generalist models J Bai, R Men, H Yang, X Ren, K Dang, Y Zhang, X Zhou, P Wang, S Tan, ... arXiv preprint arXiv:2212.04408, 2022 | 8 | 2022 |
| Mmspeech: Multi-modal multi-task encoder-decoder pre-training for speech recognition X Zhou, J Wang, Z Cui, S Zhang, Z Yan, J Zhou, C Zhou arXiv preprint arXiv:2212.00500, 2022 | 8 | 2022 |
| Qwen2 technical report A Yang, B Yang, B Hui, B Zheng, B Yu, C Zhou, C Li, C Li, D Liu, F Huang, ... arXiv preprint arXiv:2407.10671, 2024 | 4 | 2024 |
| Represent items by items: An enhanced representation of the target item for recommendation Y Cai, Z Cui, S Wu, Z Lei, X Ma arXiv preprint arXiv:2104.12483, 2021 | 4 | 2021 |
| Contextual expressive text-to-speech J Tu, Z Cui, X Zhou, S Zheng, K Hu, J Fan, C Zhou arXiv preprint arXiv:2211.14548, 2022 | 2 | 2022 |
| A Computer Simulation Algorithm About Traffic Flow Z Cui First International Conference on Information Sciences, Machinery, Materials …, 2015 | 1 | 2015 |
| Second-Order Global Attention Networks for Graph Classification and Regression F Hu, Z Cui, S Wu, Q Liu, J Wu, L Wang, T Tan CAAI International Conference on Artificial Intelligence, 496-507, 2022 | | 2022 |
