Alexander Zhou

According to our database, Alexander Zhou authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

VISION-MAE: A Foundation Model for Medical Image Segmentation and Classification.

Zelong Liu, Andrew Tieu, Nikhil Patel, Alexander Zhou, George Soultanidis, Zahi A. Fayad, Timothy Deyer, Xueyan Mei

CoRR, 2024

MRAnnotator: A Multi-Anatomy Deep Learning Model for MRI Segmentation.

Alexander Zhou, Zelong Liu, Andrew Tieu, Nikhil Patel, Sean Sun, Anthony Yang, Peter Choi, Valentin Fauveau, George Soultanidis, Mingqian Huang, Amish Doshi, Zahi A. Fayad, Timothy Deyer, Xueyan Mei

CoRR, 2024

2023

Maximum Balanced (k, ε)-Bitruss Detection in Signed Bipartite Graph.

Kai Hiu Chung, Alexander Zhou, Yue Wang, Lei Chen

Proc. VLDB Endow., November, 2023

Butterfly counting and bitruss decomposition on uncertain bipartite graphs.

Alexander Zhou, Yue Wang, Lei Chen

VLDB J., September, 2023

Structure Learning Via Meta-Hyperedge for Dynamic Rumor Detection.

Xiangguo Sun, Hongzhi Yin, Bo Liu, Qing Meng, Jiuxin Cao, Alexander Zhou, Hongxu Chen

IEEE Trans. Knowl. Data Eng., September, 2023

ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences.

Mubashir Imran, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Alexander Zhou, Kai Zheng

ACM Trans. Inf. Syst., 2023

Maximal D-truss Search in Dynamic Directed Graphs.

Anxin Tian, Alexander Zhou, Yue Wang, Lei Chen

Proc. VLDB Endow., 2023

RadImageGAN - A Multi-modal Dataset-Scale Generative AI for Medical Imaging.

Zelong Liu, Alexander Zhou, Arnold Yang, Alara Yilmaz, Maxwell Yoo, Mikey Sullivan, Catherine Zhang, James Grant, Daiqing Li, Zahi A. Fayad, Sean Huver, Timothy Deyer, Xueyan Mei

CoRR, 2023

2022

Fast-adapting and privacy-preserving federated recommender system.

Qinyong Wang, Hongzhi Yin, Tong Chen, Junliang Yu, Alexander Zhou, Xiangliang Zhang

VLDB J., 2022

Towards Distributed Bitruss Decomposition on Bipartite Graphs.

Yue Wang, Ruiqi Xu, Xun Jian, Alexander Zhou, Lei Chen

Proc. VLDB Endow., 2022

Efficient Personalized Maximum Biclique Search.

Kai Wang, Wenjie Zhang, Xuemin Lin, Lu Qin, Alexander Zhou

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Butterfly Counting on Uncertain Bipartite Networks.

Alexander Zhou, Yue Wang, Lei Chen

Proc. VLDB Endow., 2021

2020

Finding Large Diverse Communities on Networks: The Edge Maximum k*-Partite Clique.

Alexander Zhou, Yue Wang, Lei Chen

Proc. VLDB Endow., 2020

2019

Streaming Session-based Recommendation.

Lei Guo, Hongzhi Yin, Qinyong Wang, Tong Chen, Alexander Zhou, Nguyen Quoc Viet Hung

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Discovering Strong Communities with User Engagement and Tie Strength.

Fan Zhang, Long Yuan, Ying Zhang, Lu Qin, Xuemin Lin, Alexander Zhou

Proceedings of the Database Systems for Advanced Applications, 2018

Finding Maximal Stable Cores in Social Networks.

Alexander Zhou, Fan Zhang, Long Yuan, Ying Zhang, Xuemin Lin

Proceedings of the Databases Theory and Applications, 2018