| 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 | 1875 | 2023 |
| Qwen2. 5 technical report A Yang, B Yang, B Zhang, B Hui, B Zheng, B Yu, C Li, D Liu, F Huang, ... arXiv preprint arXiv:2412.15115, 2024 | 848 | 2024 |
| 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 | 360 | 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 | 242 | 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 | 195 | 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 | 143 | 2019 |
| Qwen2. 5-coder technical report B Hui, J Yang, Z Cui, J Yang, D Liu, L Zhang, T Liu, J Zhang, B Yu, K Lu, ... arXiv preprint arXiv:2409.12186, 2024 | 97 | 2024 |
| Qwen2 technical report, 2024 A Yang, B Yang, B Hui, B Zheng, B Yu, C Zhou, C Li, C Li, D Liu, F Huang, ... URL https://arxiv. org/abs/2407.10671, 0 | 56 | |
| Qwen technical report. 2023 J Bai, S Bai, Y Chu, Z Cui, K Dang, X Deng, Y Fan, W Ge, Y Han, F Huang, ... arXiv preprint cs.CL/2309.16609, 2023 | 32 | 2023 |
| GraphFM: Graph factorization machines for feature interaction modeling S Wu, Z Li, Y Su, Z Cui, X Zhang, L Wang arXiv preprint arXiv:2105.11866, 2021 | 28 | 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 | 24 | 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 | 23 | 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 | 16 | 2021 |
| 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 | 15 | 2022 |
| 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 | 15 | 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 | 15 | 2021 |
| 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 | 13 | 2022 |
| 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 | 12 | 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 | 11 | 2019 |
| Towards a unified view of preference learning for large language models: A survey B Gao, F Song, Y Miao, Z Cai, Z Yang, L Chen, H Hu, R Xu, Q Dong, ... arXiv preprint arXiv:2409.02795, 2024 | 6 | 2024 |