Xin Xing

According to our database, Xin Xing authored at least 16 papers between 2018 and 2024.

Collaborative distances:

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

2024

Unveiling Roadway Hazards: Enhancing Fatal Crash Risk Estimation Through Multiscale Satellite Imagery and Self-Supervised Cross-Matching.

Gongbo Liang, Janet Zulu, Xin Xing, Nathan Jacobs

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

2023

LD-SDM: Language-Driven Hierarchical Species Distribution Modeling.

Srikumar Sastry, Xin Xing, Aayush Dhakal, Subash Khanal, Adeel Ahmad, Nathan Jacobs

CoRR, 2023

Vision-Language Pseudo-Labels for Single-Positive Multi-Label Learning.

Xin Xing, Zhexiao Xiong, Abby Stylianou, Srikumar Sastry, Liyu Gong, Nathan Jacobs

CoRR, 2023

2022

Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging.

Gongbo Liang, Connor Greenwell, Yu Zhang, Xin Xing, Xiaoqin Wang, Ramakanth Kavuluru, Nathan Jacobs

IEEE J. Biomed. Health Informatics, 2022

Causality for Inherently Explainable Transformers: CAT-XPLAIN.

Subash Khanal, Benjamin Brodie, Xin Xing, Ai-Ling Lin, Nathan Jacobs

CoRR, 2022

Advit: Vision Transformer On Multi-Modality Pet Images For Alzheimer Disease Diagnosis.

Xin Xing, Gongbo Liang, Yu Zhang, Subash Khanal, Ai-Ling Lin, Nathan Jacobs

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Neural Network Decision-Making Criteria Consistency Analysis via Inputs Sensitivity.

Eric Xing, Liangliang Liu, Xin Xing, Yunni Qu, Nathan Jacobs, Gongbo Liang

Proceedings of the 26th International Conference on Pattern Recognition, 2022

AssocFormer: Association Transformer for Multi-label Classification.

Xin Xing, Chong Peng, Yu Zhang, Ai-Ling Lin, Nathan Jacobs

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Multi-Modal Data Analysis for Alzheimer's Disease Diagnosis: An Ensemble Model Using Imagery and Genetic Features.

Qi Ying, Xin Xing, Liangliang Liu, Ai-Ling Lin, Nathan Jacobs, Gongbo Liang

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Alzheimer's Disease Classification Using 2D Convolutional Neural Networks.

Gongbo Liang, Xin Xing, Liangliang Liu, Yu Zhang, Qi Ying, Ai-Ling Lin, Nathan Jacobs

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Dynamic Image for 3D MRI Image Alzheimer's Disease Classification.

Xin Xing, Gongbo Liang, Hunter Blanton, Muhammad Usman Rafique, Chris Wang, Ai-Ling Lin, Nathan Jacobs

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

Network-Side Multipath Access Management in Wireless Networks With Software-Defined Networking.

Kang Chen, Xin Xing, Mijanur Rahaman Palash, Jianwei Liu, James Martin

IEEE Trans. Veh. Technol., 2019

2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification.

Yu Zhang, Xiaoqin Wang, Hunter Blanton, Gongbo Liang, Xin Xing, Nathan Jacobs

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Joint 2D-3D Breast Cancer Classification.

Gongbo Liang, Xiaoqin Wang, Yu Zhang, Xin Xing, Hunter Blanton, Tawfiq Salem, Nathan Jacobs

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Improving Wireless Network Performance under MPTCP based Multipath Access.

Kang Chen, Xin Xing, Mijanur Rahaman Palash, Jianwei Liu, James Martin

Proceedings of the 43rd IEEE Conference on Local Computer Networks, 2018

On Design Challenges of an Endpoint Flow Association Optimization Service in a Multi-Provider Wireless Heterogeneous Network.

Jianwei Liu, Xin Xing, Kang Chen, James Martin

Proceedings of the 2018 IEEE International Conference on Communications, 2018