Chloe Yixin Xie

According to our database, Chloe Yixin Xie authored at least 17 papers between 2020 and 2025.

Collaborative distances:

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

2025

Image Matching: Foundations, State of the Art, and Future Directions.

Ming Yang, Rui Wu, Yunxuan Yang, Liang Tao, Yifan Zhang, Yixin Xie, Gnana Prakash Reddy Donthi Reddy

J. Imaging, 2025

Advances in Application of Federated Machine Learning for Oncology and Cancer Diagnosis.

Mohammad Nasajpour, Seyedamin Pouriyeh, Reza M. Parizi, Meng Han, Fatemeh Mosaiyebzadeh, Yixin Xie, Liyuan Liu, Daniel Macêdo Batista

Inf., 2025

SPADE: Superpixel Adjacency Driven Embedding for Three-Class Melanoma Segmentation.

Pablo Ordóñez, Ying Xie, Xinyue Zhang, Chloe Yixin Xie, Santiago Acosta, Issac Guitierrez

Algorithms, 2025

Enhancing Alzheimer's Diagnosis Through Spontaneous Speech Recognition: Deep Learning Approach with Data Augmentation.

Venkata Sai Bhargav Mutala, Seyedamin Pouriyeh, Chloe Yixin Xie, Meng Han, Ilaria Basile, Giovanna Sannino

Proceedings of the IEEE Symposium on Computers and Communications, 2025

Enhancing Alzheimer's Disease Detection Using LLM-Generated Synthetic Data and Multi-Level Embeddings.

Venkata Sai Bhargav Mutala, Seyedamin Pouriyeh, Reza M. Parizi, Chloe Yixin Xie, Alessandro Santopaolo, Ilaria Basile, Giovanna Sannino

Proceedings of the International Joint Conference on Neural Networks, 2025

AccelMD: A Self-Adaptive AI-Enabled Framework for Accelerating Molecular Dynamics Simulations.

Kazi Fahim Ahmad Nasif, Bobin Deng, Lingtao Chen, Yixin Xie, Shaolei Teng, Jiang Li, Liang Zhao, Syed Md Shamsul Alam, Nobel Dhar, Kun Suo, Dan Chia-Tien Lo

Proceedings of the 37th IEEE International Conference on Tools with Artificial Intelligence, 2025

Multimodal Deep Learning for Alzheimer's Disease Classification: A Practical Fusion Framework for Clinical Deployment.

Zakaria O. Elghazzali, Chen Zhao, Kewei Chen, Lingtao Chen, Bobin Deng, Kazi Fahim Ahmad Nasif, Yixin Xie

Proceedings of the 37th IEEE International Conference on Tools with Artificial Intelligence, 2025

Automatic Molecular Dynamics Simulation with Binding Affinity Prediction Using Deep Learning.

Lingtao Chen, Kazi Fahim Ahmad Nasif, Ming Yang, Shuteng Niu, Bobin Deng, Yixin Xie

Proceedings of the 37th IEEE International Conference on Tools with Artificial Intelligence, 2025

2024

Fixed-point Encoding and Architecture Exploration for Residue Number Systems.

Bobin Deng, Bhargava Nadendla, Kun Suo, Yixin Xie, Dan Chia-Tien Lo

ACM Trans. Archit. Code Optim., September, 2024

SGUQ: Staged Graph Convolution Neural Network for Alzheimer's Disease Diagnosis using Multi-Omics Data.

Liang Tao, Yixin Xie, Jeffrey D. Deng, Hui Shen, Hong-Wen Deng, Weihua Zhou, Chen Zhao

CoRR, 2024

Predicting Protein-Protein Binding Affinity with Deep Learning: A Comparative Analysis of CNN and Transformer Models.

Lingtao Chen, Kazi Fahim Ahmad Nasif, Bobin Deng, Shuteng Niu, Chloe Yixin Xie

Proceedings of the 36th IEEE International Conference on Tools with Artificial Intelligence, 2024

Flexible Memory Rotation (FMR): Rotated Representation with Dynamic Regularization to Overcome Catastrophic Forgetting in Continual Knowledge Graph Learning.

Lijing Zhu, Donghyun Jeon, Wenbo Sun, Li Yang, Yixin Xie, Shuteng Niu

Proceedings of the IEEE International Conference on Big Data, 2024

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion.

Donghyun Jeon, Wenbo Sun, Houbing Herbert Song, Dongfang Liu, Alvaro Velasquez, Chloe Yixin Xie, Shuteng Niu

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Molecular Dynamics Simulations on Coronavirus Variants of Concern (VOC).

Durga Narayana Varma Addepalli, Jiawei Chen, Chloe Yixin Xie

Proceedings of the 24th Annual Conference on Information Technology Education, 2023

Early Heart Disease Detection Using Mel-Spectrograms and Deep Learning.

Sricharan Donkada, Seyedamin Pouriyeh, Reza M. Parizi, Chloe Yixin Xie, Hossain Shahriar

Proceedings of the IEEE Symposium on Computers and Communications, 2023

2022

DG-Labeler and DGL-MOTS Dataset: Boost the Autonomous Driving Perception.

Yiming Cui, Zhiwen Cao, Yixin Xie, Xingyu Jiang, Feng Tao, Yingjie Victor Chen, Lin Li, Dongfang Liu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2020

Revealing the Mechanism of SARS-CoV-2 Spike Protein Binding With ACE2.

Yixin Xie, Dan Du, Chitra B. Karki, Wenhan Guo, Alan E. Lopez-Hernandez, Shengjie Sun, Brenda Y. Juarez, Haotian Li, Jun Wang, Lin Li

Comput. Sci. Eng., 2020