no code implementations • 17 Apr 2024 • Hengyu Zhang, Junwei Pan, Dapeng Liu, Jie Jiang, Xiu Li
These patterns harbor substantial potential to significantly enhance CTR prediction performance.
no code implementations • 21 Mar 2024 • Hengyu Zhang, Xuehan Wang, Jingbo Tan, Jintao Wang
The next generation wireless communication networks are required to support high-mobility scenarios, such as reliable data transmission for high-speed railways.
no code implementations • 19 Aug 2023 • Hengyu Zhang, Chang Meng, Wei Guo, Huifeng Guo, Jieming Zhu, Guangpeng Zhao, Ruiming Tang, Xiu Li
Click-Through Rate (CTR) prediction, crucial in applications like recommender systems and online advertising, involves ranking items based on the likelihood of user clicks.
1 code implementation • 9 Aug 2023 • Chang Meng, Chenhao Zhai, Yu Yang, Hengyu Zhang, Xiu Li
In the fusion step, advanced neural networks are used to model the hierarchical correlations between user behaviors.
2 code implementations • 1 Aug 2023 • Hengyu Zhang, Zhilin Lu, Xudong Zhang, Jintao Wang
In massive multiple-input multiple-output (MIMO) systems under the frequency division duplexing (FDD) mode, the user equipment (UE) needs to feed channel state information (CSI) back to the base station (BS).
1 code implementation • 26 Oct 2022 • Hengyu Zhang, Enming Yuan, Wei Guo, ZhiCheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Xiu Li, Ruiming Tang
Sequential recommendation (SR) plays an important role in personalized recommender systems because it captures dynamic and diverse preferences from users' real-time increasing behaviors.
no code implementations • 28 Sep 2022 • Man Yao, Guangshe Zhao, Hengyu Zhang, Yifan Hu, Lei Deng, Yonghong Tian, Bo Xu, Guoqi Li
On ImageNet-1K, we achieve top-1 accuracy of 75. 92% and 77. 08% on single/4-step Res-SNN-104, which are state-of-the-art results in SNNs.