Xingchen Zhao

According to our database, Xingchen Zhao authored at least 14 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Text-to-Edit: Controllable End-to-End Video Ad Creation via Multimodal LLMs.

Dabing Cheng, Haosen Zhan, Xingchen Zhao, Guisheng Liu, Zemin Li, Jinghui Xie, Zhao Song, Weiguo Feng, Bingyue Peng

CoRR, January, 2025

Performance Analysis of Non-Orthogonal Multiple Access-Enhanced Autonomous Aerial Vehicle-Assisted Internet of Vehicles over Rician Fading Channels.

Zheming Zhang, Yixin He, Yifan Lei, Zehui Cai, Fanghui Huang, Xingchen Zhao, Dawei Wang, Lujuan Li

Entropy, 2025

2024

Simultaneous Selection and Adaptation of Source Data via Four-Level Optimization.

Pengtao Xie, Xingchen Zhao, Xuehai He

Trans. Assoc. Comput. Linguistics, 2024

Unsupervised Domain Adaptation for Semantic Segmentation with Pseudo Label Self-Refinement.

Xingchen Zhao, Niluthpol Chowdhury Mithun, Abhinav Rajvanshi, Han-Pang Chiu, Supun Samarasekera

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Improved Real-Time Monitoring Lightweight Model for UAVs Based on YOLOv8.

Chuanlei Zhang, Xingchen Zhao, Di Sun, Xinliang Wang, Guoyi Xu, Runjun Zhao, Ming Gao, Hui Ma

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

2023

Towards an Energy Complexity Model for Distributed Data Processing Algorithms.

Jie Song, Xingchen Zhao, Chaopeng Guo, Yu Gu, Ge Yu

IEEE Trans. Big Data, December, 2023

Domain adversarial neural networks for domain generalization: when it works and how to improve.

Anthony Sicilia, Xingchen Zhao, Seong Jae Hwang

Mach. Learn., July, 2023

2022

A Close Look at Spatial Modeling: From Attention to Convolution.

Xu Ma, Huan Wang, Can Qin, Kunpeng Li, Xingchen Zhao, Jie Fu, Yun Fu

CoRR, 2022

Test-time Fourier Style Calibration for Domain Generalization.

Xingchen Zhao, Chang Liu, Anthony Sicilia, Seong Jae Hwang, Yun Fu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

PAC Bayesian Performance Guarantees for Deep (Stochastic) Networks in Medical Imaging.

Anthony Sicilia, Xingchen Zhao, Anastasia Sosnovskikh, Seong Jae Hwang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Robust White Matter Hyperintensity Segmentation On Unseen Domain.

Xingchen Zhao, Anthony Sicilia, Davneet S. Minhas, Erin O'Connor, Howard J. Aizenstein, William E. Klunk, Dana L. Tudorascu, Seong Jae Hwang

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Multi-Domain Learning By Meta-Learning: Taking Optimal Steps In Multi-Domain Loss Landscapes By Inner-Loop Learning.

Anthony Sicilia, Xingchen Zhao, Davneet S. Minhas, Erin O'Connor, Howard J. Aizenstein, William E. Klunk, Dana L. Tudorascu, Seong Jae Hwang

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Learning by Ignoring.

Xingchen Zhao, Pengtao Xie

CoRR, 2020

2019

Design of a Hybrid Two-Stage Inverter and Hybrid Modulation Strategy for High-Speed Permanent Magnet Synchronous Motor Drive.

Cong Gu, Xiaolin Wang, Yuting Liu, Xingchen Zhao, Zhiquan Deng

Proceedings of the IECON 2019, 2019