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Xingchen Zhao
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2020 – today
- 2024
- [j3]Pengtao Xie, Xingchen Zhao, Xuehai He:
Simultaneous Selection and Adaptation of Source Data via Four-Level Optimization. Trans. Assoc. Comput. Linguistics 12: 449-466 (2024) - [c7]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: 278-288 - [c6]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: 2388-2398 - 2023
- [j2]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): 2685-2721 (2023) - [j1]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): 1510-1524 (2023) - [i8]Xingchen Zhao, Niluthpol Chowdhury Mithun, Abhinav Rajvanshi, Han-Pang Chiu, Supun Samarasekera:
Unsupervised Domain Adaptation for Semantic Segmentation with Pseudo Label Self-Refinement. CoRR abs/2310.16979 (2023) - 2022
- [c5]Xingchen Zhao, Chang Liu, Anthony Sicilia, Seong Jae Hwang, Yun Fu:
Test-time Fourier Style Calibration for Domain Generalization. IJCAI 2022: 1721-1727 - [i7]Xingchen Zhao, Chang Liu, Anthony Sicilia, Seong Jae Hwang, Yun Fu:
Test-time Fourier Style Calibration for Domain Generalization. CoRR abs/2205.06427 (2022) - [i6]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 abs/2212.12552 (2022) - 2021
- [c4]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: 650-654 - [c3]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: 1047-1051 - [c2]Anthony Sicilia, Xingchen Zhao, Anastasia Sosnovskikh, Seong Jae Hwang:
PAC Bayesian Performance Guarantees for Deep (Stochastic) Networks in Medical Imaging. MICCAI (3) 2021: 560-570 - [i5]Anthony Sicilia, Xingchen Zhao, Seong Jae Hwang:
Domain Adversarial Neural Networks for Domain Generalization: When It Works and How to Improve. CoRR abs/2102.03924 (2021) - [i4]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 abs/2102.06650 (2021) - [i3]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 abs/2102.13147 (2021) - [i2]Anthony Sicilia, Xingchen Zhao, Anastasia Sosnovskikh, Seong Jae Hwang:
PAC Bayesian Performance Guarantees for Deep (Stochastic) Networks in Medical Imaging. CoRR abs/2104.05600 (2021) - 2020
- [i1]Xingchen Zhao, Pengtao Xie:
Learning by Ignoring. CoRR abs/2012.14288 (2020)
2010 – 2019
- 2019
- [c1]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: 1004-1009
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last updated on 2024-08-10 01:22 CEST by the dblp team
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