47 citations · 62 across the 6 of their papers we have counts for
9 papers
MaskGIT: Masked Generative Image Transformer
Huiwen Chang, Han Zhang, Lu Jiang +2
Generative transformers have experienced rapid popularity growth in the computer vision community in synthesizing high-fidelity and high-resolution images. The best generative tran…
Team Learning-Based Resource Allocation for Open Radio Access Network (O-RAN)
Han Zhang, Hao Zhou, Melike Erol-Kantarci
Recently, the concept of open radio access network (O-RAN) has been proposed, which aims to adopt intelligence and openness in the next generation radio access networks (RAN). It p…
Transfer training from smaller language model
Han Zhang
Large language models have led to state-of-the-art accuracies across a range of tasks. However,training large language model needs massive computing resource, as more and more open…
Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction
Wonkwang Lee, Whie Jung, Han Zhang +6
Learning to predict the long-term future of video frames is notoriously challenging due to inherent ambiguities in the distant future and dramatic amplifications of prediction erro…
Improving NER's Performance with Massive financial corpus
Han Zhang
Training large deep neural networks needs massive high quality annotation data, but the time and labor costs are too expensive for small business. We start a company-name recogniti…
Consistency Regularization for Generative Adversarial Networks
Han Zhang, Zizhao Zhang, Augustus Odena +1
Generative Adversarial Networks (GANs) are known to be difficult to train, despite considerable research effort. Several regularization techniques for stabilizing training have bee…