Zhuoping Zhou

According to our database, Zhuoping Zhou authored at least 11 papers between 2023 and 2026.

Collaborative distances:

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

2026

Query-Aware Flow Diffusion for Graph-Based RAG with Retrieval Guarantees.

Zhuoping Zhou, Davoud Ataee Tarzanagh, Sima Didari, Wenjun Hu, Baruch Gutow, Oxana Verkholyak, Masoud Faraki, Heng Hao, Hankyu Moon, Seungjai Min

CoRR, May, 2026

Bi-Lipschitz Autoencoder With Injectivity Guarantee.

Qipeng Zhan, Zhuoping Zhou, Zexuan Wang, Qi Long, Li Shen

CoRR, April, 2026

Towards Accurate and Calibrated Classification: Regularizing Cross-Entropy From A Generative Perspective.

Qipeng Zhan, Zhuoping Zhou, Li Shen

CoRR, April, 2026

Learning Ordered Representations in Latent Space for Intrinsic Dimension Estimation via Principal Component Autoencoder.

Qipeng Zhan, Zhuoping Zhou, Zexuan Wang, Li Shen

CoRR, January, 2026

2025

Multi-Scale Geometric Autoencoder.

Qipeng Zhan, Zhuoping Zhou, Zexuan Wang, Li Shen

CoRR, September, 2025

MG-TCCA: Tensor Canonical Correlation Analysis Across Multiple Groups.

Zhuoping Zhou, Boning Tong, Davoud Ataee Tarzanagh, Bojian Hou, Andrew J. Saykin, Qi Long, Li Shen

IEEE Trans. Comput. Biol. Bioinform., 2025

Fair CCA for Fair Representation Learning: An ADNI Study.

Bojian Hou, Zhanliang Wang, Zhuoping Zhou, Boning Tong, Zexuan Wang, Jingxuan Bao, Duy Duong-Tran, Qi Long, Li Shen

Proceedings of the 16th ACM International Conference on Bioinformatics, 2025

2024

Fairness-Aware Estimation of Graphical Models.

Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Qi Long, Li Shen

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Fair Canonical Correlation Analysis.

Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Jia Xu, Yanbo Feng, Qi Long, Li Shen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Class-Balanced Deep Learning with Adaptive Vector Scaling Loss for Dementia Stage Detection.

Boning Tong, Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Andrew J. Saykin, Jason H. Moore, Marylyn D. Ritchie, Li Shen

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Multi-Group Tensor Canonical Correlation Analysis.

Zhuoping Zhou, Boning Tong, Davoud Ataee Tarzanagh, Bojian Hou, Andrew J. Saykin, Qi Long, Li Shen

Proceedings of the 14th ACM International Conference on Bioinformatics, 2023