Zhou, Zirui

12 publications

CVPR 2025 Decompositional Neural Scene Reconstruction with Generative Diffusion Prior Junfeng Ni, Yu Liu, Ruijie Lu, Zirui Zhou, Song-Chun Zhu, Yixin Chen, Siyuan Huang

AAAI 2025 Evaluating LLM Reasoning in the Operations Research Domain with ORQA Mahdi Mostajabdaveh, Timothy Tin Long Yu, Samarendra Chandan Bindu Dash, Rindra Ramamonjison, Jabo Serge Byusa, Giuseppe Carenini, Zirui Zhou, Yong Zhang

AAAI 2025 GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping Bang An, Xun Zhou, Zirui Zhou, Ronilo J. Ragodos, Zenglin Xu, Jun Luo

AAAI 2025 Learn2Aggregate: Supervised Generation of Chvatal-Gomory Cuts Using Graph Neural Networks Arnaud Deza, Elias B. Khalil, Zhenan Fan, Zirui Zhou, Yong Zhang

ICLR 2024 Fair and Efficient Contribution Valuation for Vertical Federated Learning Zhenan Fan, Huang Fang, Xinglu Wang, Zirui Zhou, Jian Pei, Michael Friedlander, Yong Zhang

ECML-PKDD 2023 Exact Combinatorial Optimization with Temporo-Attentional Graph Neural Networks Mehdi Seyfi, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang

ICML 2023 Smart Initial Basis Selection for Linear Programs Zhenan Fan, Xinglu Wang, Oleksandr Yakovenko, Abdullah Ali Sivas, Owen Ren, Yong Zhang, Zirui Zhou

ICML 2021 Optimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Power Method Peng Wang, Huikang Liu, Zirui Zhou, Anthony Man-Cho So

AAAI 2021 Personalized Cross-Silo Federated Learning on Non-IID Data Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei, Yong Zhang

ICML 2020 A Nearly-Linear Time Algorithm for Exact Community Recovery in Stochastic Block Model Peng Wang, Zirui Zhou, Anthony Man-Cho So

ICML 2015 \ell_1,p-Norm Regularization: Error Bounds and Convergence Rate Analysis of First-Order Methods Zirui Zhou, Qi Zhang, Anthony Man-Cho So

NeurIPS 2013 On the Linear Convergence of the Proximal Gradient Method for Trace Norm Regularization Ke Hou, Zirui Zhou, Anthony Man-Cho So, Zhi-Quan Luo