no code implementations • 15 Oct 2017 • Haipeng Zeng, Hammad Haleem, Xavier Plantaz, Nan Cao, Huamin Qu
Often, it is difficult to explore the relationships between the learned parameters and the model performance due to a large number of parameters and different random initializations.
no code implementations • 14 May 2019 • Yang Shi, Yuyin Liu, Hanghang Tong, Jingrui He, Gang Yan, Nan Cao
The increasing accessibility of data provides substantial opportunities for understanding user behaviors.
no code implementations • 29 Jul 2019 • Zhuochen Jin, Nan Cao, Yang Shi, Hanghang Tong, Yingcai Wu
A suite of visualizations is designed to illustrate the dynamics of city segmentation and the corresponding interactions are added to support the exploration of the segmentation patterns over time.
1 code implementation • 7 Aug 2019 • Danqing Shi, Yang Shi, Xinyue Xu, Nan Chen, Siwei Fu, Hongjin Wu, Nan Cao
A chart sequence is used to describe a series of visualization charts generated in the exploratory analysis by data analysts.
no code implementations • 1 Sep 2020 • Zhuochen Jin, Shunan Guo, Nan Chen, Daniel Weiskopf, David Gotz, Nan Cao
Unfortunately, recovering causalities from observational event sequences is challenging, as the heterogeneous and high-dimensional event variables are often connected to rather complex underlying event excitation mechanisms that are hard to infer from limited observations.
1 code implementation • 15 Feb 2021 • Lecheng Zheng, Yu Cheng, Hongxia Yang, Nan Cao, Jingrui He
For example, given the diagnostic result that a model provided based on the X-ray images of a patient at different poses, the doctor needs to know why the model made such a prediction.
no code implementations • 29 Sep 2021 • Yilin Wang, Nan Cao, Teng Zhang, Hai Jin
Optimal margin Distribution Machine (ODM), a newly proposed statistical learning framework rooting in the novel margin theory, demonstrates better generalization performance than the traditional large margin based counterparts.
1 code implementation • ICCV 2023 • Nanxuan Zhao, Shengqi Dang, Hexun Lin, Yang Shi, Nan Cao
The development of face editing has been boosted since the birth of StyleGAN.
2 code implementations • 8 May 2023 • Yilin Wang, Nan Cao, Teng Zhang, Xuanhua Shi, Hai Jin
Optimal margin Distribution Machine (ODM) is a newly proposed statistical learning framework rooting in the novel margin theory, which demonstrates better generalization performance than the traditional large margin based counterparts.