| BARS: Towards Open Benchmarking for Recommender Systems J Zhu, Q Dai, L Su, R Ma, J Liu, G Cai, X Xiao, R Zhang SIGIR '22: Proceedings of the 45th International ACM SIGIR Conference on …, 2022 | 46 | 2022 |
| Deep spatio-temporal adaptive 3d convolutional neural networks for traffic flow prediction H Li, X Li, L Su, D Jin, J Huang, D Huang ACM Transactions on Intelligent Systems and Technology (TIST) 13 (2), 1-21, 2022 | 28 | 2022 |
| FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction K Mao, J Zhu, L Su, G Cai, Y Li, Z Dong arXiv preprint arXiv:2304.00902, 2023 | 23 | 2023 |
| PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation Y Li, J Zhu, W Liu, L Su, G Cai, Q Zhang, R Tang, X Xiao, X He Companion Proceedings of the Web Conference 2022, 62-66, 2022 | 17* | 2022 |
| Detectornet: Transformer-enhanced spatial temporal graph neural network for traffic prediction H Li, S Zhang, X Li, L Su, H Huang, D Jin, L Chen, J Huang, J Yoo ACM SIGSPATIAL 2021, 133-136, 2021 | 17 | 2021 |
| GraphSANet: a graph neural network and self attention based approach for spatial temporal prediction in sensor network H Li, S Zhang, L Su, H Huang, D Jin, X Li 2020 IEEE International Conference on Big Data (Big Data), 5756-5758, 2020 | 6 | 2020 |
| STEM: Unleashing the Power of Embeddings for Multi-task Recommendation L Su, J Pan, X Wang, X Xiao, S Quan, X Chen, J Jiang AAAI 2024, 2023 | 3 | 2023 |
| Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for Recommendation L Su, F Yan, J Zhu, X Xiao, H Duan, Z Zhao, Z Dong, R Tang Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 3 | 2023 |
| An efficient method for graph repartitioning in distributed environments H Li, YN Liu, XH Wang, LC Su, H Yuan, JS Yoo IEICE TRANSACTIONS on Information and Systems 103 (7), 1773-1776, 2020 | 3 | 2020 |
| Multi-Interest Learning for Multi-Modal Paper Recommendation X Shen, L Su, X Xiao, Y Li ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance LH Chen, Y Zhang, T Huang, L Su, Z Lin, X Xiao, X Xia, T Liu arXiv preprint arXiv:2312.08852, 2023 | | 2023 |
Jieming Zhu (朱杰明)Huawei Noah's Ark LabVerified email at huawei.com
