| 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 | 733 | 2023 |
| Edge-cloud polarization and collaboration: A comprehensive survey for ai J Yao, S Zhang, Y Yao, F Wang, J Ma, J Zhang, Y Chu, L Ji, K Jia, T Shen, ... IEEE Transactions on Knowledge and Data Engineering 35 (7), 6866-6886, 2022 | 73 | 2022 |
| User identity linkage across social networks via linked heterogeneous network embedding Y Wang, C Feng, L Chen, H Yin, C Guo, Y Chu World Wide Web 22 (6), 2611-2632, 2019 | 62 | 2019 |
| Qwen-audio: Advancing universal audio understanding via unified large-scale audio-language models Y Chu, J Xu, X Zhou, Q Yang, S Zhang, Z Yan, C Zhou, J Zhou arXiv preprint arXiv:2311.07919, 2023 | 60 | 2023 |
| Solving the sparsity problem in recommendations via cross-domain item embedding based on co-clustering Y Wang, C Feng, C Guo, Y Chu, JN Hwang Proceedings of the twelfth ACM international conference on web search and …, 2019 | 59 | 2019 |
| Tcl: Transformer-based dynamic graph modelling via contrastive learning L Wang, X Chang, S Li, Y Chu, H Li, W Zhang, X He, L Song, J Zhou, ... arXiv preprint arXiv:2105.07944, 2021 | 43 | 2021 |
| A cross-domain hierarchical recurrent model for personalized session-based recommendations Y Wang, C Guo, Y Chu, JN Hwang, C Feng Neurocomputing 380, 271-284, 2020 | 24 | 2020 |
| Lauragpt: Listen, attend, understand, and regenerate audio with gpt Q Chen, Y Chu, Z Gao, Z Li, K Hu, X Zhou, J Xu, Z Ma, W Wang, S Zheng, ... arXiv preprint arXiv:2310.04673, 2023 | 19 | 2023 |
| Graph neural networks in modern recommender systems Y Chu, J Yao, C Zhou, H Yang Graph Neural Networks: Foundations, Frontiers, and Applications, 423-445, 2022 | 14 | 2022 |
| LauraGPT: Listen, attend, understand, and regenerate audio with GPT J Wang, Z Du, Q Chen, Y Chu, Z Gao, Z Li, K Hu, X Zhou, J Xu, Z Ma, ... | 9 | 2023 |
| Event2vec: heterogeneous hypergraph embedding for event data Y Chu, C Feng, C Guo, Y Wang, JN Hwang 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 1022-1029, 2018 | 9 | 2018 |
| Social-guided representation learning for images via deep heterogeneous hypergraph embedding Y Chu, C Feng, C Guo 2018 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2018 | 9 | 2018 |
| Inductive granger causal modeling for multivariate time series Y Chu, X Wang, J Ma, K Jia, J Zhou, H Yang 2020 IEEE International Conference on Data Mining (ICDM), 972-977, 2020 | 8 | 2020 |
| Network embedding based on deep extreme learning machine Y Chu, C Feng, C Guo, Y Wang International Journal of Machine Learning and Cybernetics 10 (10), 2709-2724, 2019 | 7 | 2019 |
| Dynamic user modeling for expert recommendation in community question answering T He, C Guo, Y Chu, Y Yang, Y Wang Journal of Intelligent & Fuzzy Systems 39 (5), 7281-7292, 2020 | 6 | 2020 |
| 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 | 3 | 2024 |
| Dynamic sequential graph learning for click-through rate prediction Y Chu, X Chang, K Jia, J Zhou, H Yang arXiv preprint arXiv:2109.12541, 2021 | 3 | 2021 |
| Enhanced user interest and expertise modeling for expert recommendation T He, C Guo, Y Chu 2020 25th International Conference on Pattern Recognition (ICPR), 556-562, 2021 | 3 | 2021 |
| AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension Q Yang, J Xu, W Liu, Y Chu, Z Jiang, X Zhou, Y Leng, Y Lv, Z Zhao, ... arXiv preprint arXiv:2402.07729, 2024 | 2 | 2024 |
| Cnn-based action recognition using adaptive multiscale depth motion maps and stable joint distance maps J He, H Xia, C Feng, Y Chu 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018 | 2 | 2018 |
