no code implementations • 12 Jul 2024 • Zhexiao Xiong, Xin Xing, Scott Workman, Subash Khanal, Nathan Jacobs
We introduce the task of mixed-view panorama synthesis, where the goal is to synthesize a novel panorama given a small set of input panoramas and a satellite image of the area.
no code implementations • 13 Dec 2023 • Srikumar Sastry, Xin Xing, Aayush Dhakal, Subash Khanal, Adeel Ahmad, Nathan Jacobs
Further, we propose a novel proximity-aware evaluation metric that enables evaluating species distribution models using any pixel-level representation of ground-truth species range map.
1 code implementation • 24 Oct 2023 • Xin Xing, Zhexiao Xiong, Abby Stylianou, Srikumar Sastry, Liyu Gong, Nathan Jacobs
In general multi-label learning, a model learns to predict multiple labels or categories for a single input image.
1 code implementation • 29 Jun 2022 • Subash Khanal, Benjamin Brodie, Xin Xing, Ai-Ling Lin, Nathan Jacobs
There have been several post-hoc explanation approaches developed to explain pre-trained black-box neural networks.
no code implementations • 22 May 2022 • Youhui Ye, Meimei Liu, Xin Xing
Our approach is applicable and robust when the testing data is contaminated.
1 code implementation • 30 Nov 2020 • Xin Xing, Gongbo Liang, Hunter Blanton, Muhammad Usman Rafique, Chris Wang, Ai-Ling Lin, Nathan Jacobs
We propose to apply a 2D CNN architecture to 3D MRI image Alzheimer's disease classification.
no code implementations • 13 Oct 2020 • Xin Xing, Yu Gui, Chenguang Dai, Jun S. Liu
Deep neural networks (DNNs) have become increasingly popular and achieved outstanding performance in predictive tasks.
no code implementations • ICLR 2020 • Xin Xing, Long Sha, Pengyu Hong, Zuofeng Shang, Jun S. Liu
Deep neural networks (DNNs) can be huge in size, requiring a considerable a mount of energy and computational resources to operate, which limits their applications in numerous scenarios.
no code implementations • 27 Feb 2020 • Gongbo Liang, Xiaoqin Wang, Yu Zhang, Xin Xing, Hunter Blanton, Tawfiq Salem, Nathan Jacobs
Breast cancer is the malignant tumor that causes the highest number of cancer deaths in females.
no code implementations • 27 Feb 2020 • Yu Zhang, Xiaoqin Wang, Hunter Blanton, Gongbo Liang, Xin Xing, Nathan Jacobs
Automated methods for breast cancer detection have focused on 2D mammography and have largely ignored 3D digital breast tomosynthesis (DBT), which is frequently used in clinical practice.
no code implementations • 24 Feb 2020 • Ping Ma, Xinlian Zhang, Xin Xing, Jingyi Ma, Michael W. Mahoney
In this article, we develop an asymptotic analysis to derive the distribution of RandNLA sampling estimators for the least-squares problem.
1 code implementation • 20 Feb 2020 • Chenguang Dai, Buyu Lin, Xin Xing, Jun S. Liu
Selecting relevant features associated with a given response variable is an important issue in many scientific fields.
Methodology
no code implementations • 6 Nov 2019 • Xin Xing, Zuofeng Shang, Pang Du, Ping Ma, Wenxuan Zhong, Jun S. Liu
Under such a framework, the probability density comparison is equivalent to testing the presence/absence of interactions.
1 code implementation • 10 Jun 2019 • Wentao Ouyang, Xiuwu Zhang, Li Li, Heng Zou, Xin Xing, Zhaojie Liu, Yanlong Du
The intuitions are that ads shown together may influence each other, clicked ads reflect a user's preferences, and unclicked ads may indicate what a user dislikes to certain extent.
Ranked #1 on Click-Through Rate Prediction on Avito