6 citations · 15 across the 9 of their papers we have counts for
9 papers
From Division to Unity: A Large-Scale Study on the Emergence of Computational Social Science, 1990-2021
Honglin Bao, Jiawei Zhang, Mingxuan Cao +1
We present a comprehensive study on the emergence of Computational Social Science (CSS) - an interdisciplinary field leveraging computational methods to address social science ques…
RPN 2: On Interdependence Function Learning Towards Unifying and Advancing CNN, RNN, GNN, and Transformer
Jiawei Zhang
This paper builds upon our previous work on the Reconciled Polynomial Network (RPN). The original RPN model was designed under the assumption of input data independence, presuming…
Deep Learning-Based Fatigue Cracks Detection in Bridge Girders using Feature Pyramid Networks
Jiawei Zhang, Jun Li, Reachsak Ly +2
For structural health monitoring, continuous and automatic crack detection has been a challenging problem. This study is conducted to propose a framework of automatic crack segment…
RPN: Reconciled Polynomial Network Towards Unifying PGMs, Kernel SVMs, MLP and KAN
Jiawei Zhang
In this paper, we will introduce a novel deep model named Reconciled Polynomial Network (RPN) for deep function learning. RPN has a very general architecture and can be used to bui…
VersaT2I: Improving Text-to-Image Models with Versatile Reward
Jianshu Guo, Wenhao Chai, Jie Deng +6
Recent text-to-image (T2I) models have benefited from large-scale and high-quality data, demonstrating impressive performance. However, these T2I models still struggle to produce i…
Deep Richardson-Lucy Deconvolution for Low-Light Image Deblurring
Liang Chen, Jiawei Zhang, Zhenhua Li +4
Images taken under the low-light condition often contain blur and saturated pixels at the same time. Deblurring images with saturated pixels is quite challenging. Because of the li…