49 citations · 64 across the 5 of their papers we have counts for
5 papers
SinkLoRA: Enhanced Efficiency and Chat Capabilities for Long-Context Large Language Models
Hengyu Zhang
Extending the functionality of the Transformer model to accommodate longer sequence lengths has become a critical challenge. This extension is crucial not only for improving tasks…
Deep Pattern Network for Click-Through Rate Prediction
Hengyu Zhang, Junwei Pan, Dapeng Liu +2
Click-through rate (CTR) prediction tasks play a pivotal role in real-world applications, particularly in recommendation systems and online advertising. A significant research bran…
Time-aligned Exposure-enhanced Model for Click-Through Rate Prediction
Hengyu Zhang, Chang Meng, Wei Guo +5
Click-Through Rate (CTR) prediction, crucial in applications like recommender systems and online advertising, involves ranking items based on the likelihood of user clicks. User be…
Parallel Knowledge Enhancement based Framework for Multi-behavior Recommendation
Chang Meng, Chenhao Zhai, Yu Yang +2
Multi-behavior recommendation algorithms aim to leverage the multiplex interactions between users and items to learn users' latent preferences. Recent multi-behavior recommendation…
Data Augmentation of Bridging the Delay Gap for DL-based Massive MIMO CSI Feedback
Hengyu Zhang, Zhilin Lu, Xudong Zhang +1
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) ba…