| 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 | 99 | 2022 |
| FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction K Mao, J Zhu, L Su, G Cai, Y Li, Z Dong AAAI 2023, 2023 | 76 | 2023 |
| 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 | 43 | 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 | 26 | 2021 |
| 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 | 22* | 2022 |
| STEM: unleashing the power of embeddings for multi-task recommendation L Su, J Pan, X Wang, X Xiao, S Quan, X Chen, J Jiang Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 9002-9010, 2024 | 17 | 2024 |
| 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 | 10 | 2023 |
| 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 | 8 | 2020 |
| A survey of generative techniques for spatial-temporal data mining Q Zhang, H Wang, C Long, L Su, X He, J Chang, T Wu, H Yin, SM Yiu, ... arXiv preprint arXiv:2405.09592, 2024 | 7 | 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 ACM International Conference on Information & Knowledge Management (CIKM), 2024, 2023 | 5 | 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, 6925-6929, 2024 | 1 | 2024 |
| Invisibility cloak: proactive defense against visual game cheating C Sun, K Ye, L Su, J Zhang, C Qian 33rd USENIX Security Symposium (USENIX Security 24), 3045-3061, 2024 | 1 | 2024 |
| A simple yet strong approach for installation prediction in sharechat ads X Shen, L Su, Z Lin, X Xi Proceedings of the Recommender Systems Challenge 2023, 39-43, 2023 | 1 | 2023 |
| CONGRA: Benchmarking Automatic Conflict Resolution Q Zhang, L Su, K Ye, C Qian arXiv preprint arXiv:2409.14121, 2024 | | 2024 |
Jieming Zhu (朱杰明)Huawei Noah's Ark Lab; CUHKhuawei.com पर सत्यापित ईमेल
