Xingchen Zhao

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Corpus Callosum

Diffusion Tensor Mri

Top Venues

Publications

Xingchen Zhao, Niluthpol Chowdhury Mithun, Abhinav Rajvanshi, Han-Pang Chiu, Supun Samarasekera
Unsupervised Domain Adaptation for Semantic Segmentation with Pseudo Label Self-Refinement. WACV (2024)
Chuanlei Zhang, Xingchen Zhao, Di Sun, Xinliang Wang, Guoyi Xu, Runjun Zhao, Ming Gao, Hui Ma
Improved Real-Time Monitoring Lightweight Model for UAVs Based on YOLOv8. ICIC (11) (2024)
Pengtao Xie, Xingchen Zhao, Xuehai He
Simultaneous Selection and Adaptation of Source Data via Four-Level Optimization. Trans. Assoc. Comput. Linguistics 12 (2024)
Jie Song, Xingchen Zhao, Chaopeng Guo, Yu Gu, Ge Yu
Towards an Energy Complexity Model for Distributed Data Processing Algorithms. IEEE Trans. Big Data 9 (6) (2023)
Anthony Sicilia, Xingchen Zhao, Seong Jae Hwang
Domain adversarial neural networks for domain generalization: when it works and how to improve. Mach. Learn. 112 (7) (2023)
Xingchen Zhao, Niluthpol Chowdhury Mithun, Abhinav Rajvanshi, Han-Pang Chiu, Supun Samarasekera
Unsupervised Domain Adaptation for Semantic Segmentation with Pseudo Label Self-Refinement. CoRR (2023)
Xingchen Zhao, Chang Liu, Anthony Sicilia, Seong Jae Hwang, Yun Fu
Test-time Fourier Style Calibration for Domain Generalization. IJCAI (2022)
Xu Ma, Huan Wang, Can Qin, Kunpeng Li, Xingchen Zhao, Jie Fu, Yun Fu
A Close Look at Spatial Modeling: From Attention to Convolution. CoRR (2022)
Xingchen Zhao, Chang Liu, Anthony Sicilia, Seong Jae Hwang, Yun Fu
Test-time Fourier Style Calibration for Domain Generalization. CoRR (2022)
Anthony Sicilia, Xingchen Zhao, Anastasia Sosnovskikh, Seong Jae Hwang
PAC Bayesian Performance Guarantees for Deep (Stochastic) Networks in Medical Imaging. CoRR (2021)
Anthony Sicilia, Xingchen Zhao, Anastasia Sosnovskikh, Seong Jae Hwang
PAC Bayesian Performance Guarantees for Deep (Stochastic) Networks in Medical Imaging. MICCAI (3) (2021)
Anthony Sicilia, Xingchen Zhao, Davneet S. Minhas, Erin O'Connor, Howard J. Aizenstein, William E. Klunk, Dana L. Tudorascu, Seong Jae Hwang
Multi-Domain Learning By Meta-Learning: Taking Optimal Steps In Multi-Domain Loss Landscapes By Inner-Loop Learning. ISBI (2021)
Xingchen Zhao, Anthony Sicilia, Davneet S. Minhas, Erin O'Connor, Howard Aizenstein, William E. Klunk, Dana Tudorascu, Seong Jae Hwang
Robust White Matter Hyperintensity Segmentation on Unseen Domain. CoRR (2021)
Xingchen Zhao, Anthony Sicilia, Davneet S. Minhas, Erin O'Connor, Howard J. Aizenstein, William E. Klunk, Dana L. Tudorascu, Seong Jae Hwang
Robust White Matter Hyperintensity Segmentation On Unseen Domain. ISBI (2021)
Anthony Sicilia, Xingchen Zhao, Seong Jae Hwang
Domain Adversarial Neural Networks for Domain Generalization: When It Works and How to Improve. CoRR (2021)
Anthony Sicilia, Xingchen Zhao, Davneet S. Minhas, Erin O'Connor, Howard Aizenstein, William E. Klunk, Dana Tudorascu, Seong Jae Hwang
Multi-Domain Learning by Meta-Learning: Taking Optimal Steps in Multi-Domain Loss Landscapes by Inner-Loop Learning. CoRR (2021)
Xingchen Zhao, Pengtao Xie
Learning by Ignoring. CoRR (2020)
Cong Gu, Xiaolin Wang, Yuting Liu, Xingchen Zhao, Zhiquan Deng
Design of a Hybrid Two-Stage Inverter and Hybrid Modulation Strategy for High-Speed Permanent Magnet Synchronous Motor Drive. IECON (2019)