1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2025
Controllable Stylistic Text Generation with Train-Time Attribute-Regularized Diffusion
Fan Zhou, Chang Tian, Tim Van de Cruys
Generating stylistic text with specific attributes is a key problem in controllable text generation. Recently, diffusion models have emerged as a powerful paradigm for both visual…
cs.IT2023
Improving the Performance of R17 Type-II Codebook with Deep Learning
Ke Ma, Yiliang Sang, Yang Ming +3
The Type-II codebook in Release 17 (R17) exploits the angular-delay-domain partial reciprocity between uplink and downlink channels to select part of angular-delay-domain ports for…
cs.IT2023★ 1 cited
Deep Learning Empowered Type-II Codebook: New Paradigm for Enhancing CSI Feedback
Ke Ma, Yiliang Sang, Yang Ming +3
Deep learning based channel state information (CSI) feedback in frequency division duplex systems has drawn much attention in both academia and industry. In this paper, we focus on…