Zirui Zhou

65 papers A* 14A 1B 1Journal 41Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
AIvilization v0: Toward Large-Scale Artificial Social Simulation with a Unified Agent Architecture and Adaptive Agent Profiles.
CoRR
Wenkai Fan, Shurui Zhang, Xiaolong Wang, Haowei Yang, Tsz Wai Chan, Xingyan Chen, Junquan Bi, Zirui Zhou, Jia Liu, Kani Chen
2026 J jnl
Artificial intelligence for optimization: Unleashing the potential of parameter generation, model formulation, and solution methods.
Eur. J. Oper. Res.
Zhenan Fan, Bissan Ghaddar, Xinglu Wang, Linzi Xing, Yong Zhang, Zirui Zhou
2025 J jnl
3D Scene Change Modeling With Consistent Multi-View Aggregation.
CoRR
Zirui Zhou, Junfeng Ni, Shujie Zhang, Yixin Chen, Siyuan Huang
2025 A* conf
Decompositional Neural Scene Reconstruction with Generative Diffusion Prior.
CVPR
Junfeng Ni, Yu Liu, Ruijie Lu, Zirui Zhou, Song-Chun Zhu, Yixin Chen, Siyuan Huang
2025 J jnl
Decompositional Neural Scene Reconstruction with Generative Diffusion Prior.
CoRR
Junfeng Ni, Yu Liu, Ruijie Lu, Zirui Zhou, Song-Chun Zhu, Yixin Chen, Siyuan Huang
2025 J jnl
Discrete Optimization of Min-Max Violation and its Applications Across Computational Sciences.
CoRR
Cheikh Ahmed, Mahdi Mostajabdaveh, Samin Aref, Zirui Zhou
2025 A* conf
Evaluating LLM Reasoning in the Operations Research Domain with ORQA.
AAAI
Mahdi Mostajabdaveh, Timothy Tin Long Yu, Samarendra Chandan Bindu Dash, Rindra Ramamonjison, Jabo Serge Byusa, Giuseppe Carenini, Zirui Zhou, Yong Zhang
2025 J jnl
EvoCut: Strengthening Integer Programs via Evolution-Guided Language Models.
CoRR
Milad Yazdani, Mahdi Mostajabdaveh, Samin Aref, Zirui Zhou
2025 A* conf
GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping.
AAAI
Bang An, Xun Zhou, Zirui Zhou, Ronilo J. Ragodos, Zenglin Xu, Jun Luo
2025 J jnl
IntAttention: A Fully Integer Attention Pipeline for Efficient Edge Inference.
CoRR
Wanli Zhong, Haibo Feng, Zirui Zhou, Hanyang Peng, Shiqi Yu
2025 A* conf
Learn2Aggregate: Supervised Generation of Chvatal-Gomory Cuts Using Graph Neural Networks.
AAAI
Arnaud Deza, Elias B. Khalil, Zhenan Fan, Zirui Zhou, Yong Zhang
2025 J jnl
MASPRM: Multi-Agent System Process Reward Model.
CoRR
Milad Yazdani, Mahdi Mostajabdaveh, Zirui Zhou, Ying Xiong
2025 — conf
Pose as Clinical Prior: Learning Dual Representations for Scoliosis Screening.
MICCAI (13)
Zirui Zhou, Zizhao Peng, Dongyang Jin, Chao Fan, Fengwei An, Shiqi Yu
2025 J jnl
Pose as Clinical Prior: Learning Dual Representations for Scoliosis Screening.
CoRR
Zirui Zhou, Zizhao Peng, Dongyang Jin, Chao Fan, Fengwei An, Shiqi Yu
2025 J jnl
SMARTAPS: Tool-augmented LLMs for Operations Management.
CoRR
Timothy Tin Long Yu, Mahdi Mostajabdaveh, Jabo Serge Byusa, Rindra Ramamonjison, Giuseppe Carenini, Kun Mao, Zirui Zhou, Yong Zhang
2025 A* conf
Synthesizing 3D Scenes via Diffusion Model that Incorporates Indoor Scene Characteristics.
ACM Multimedia
Liang Yue, Shao-Kui Zhang, Lin Yuan, Yi-Tao Chen, Zirui Zhou, Song-Hai Zhang
2024 J jnl
Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process.
CoRR
Zhenan Fan, Bissan Ghaddar, Xinglu Wang, Linzi Xing, Yong Zhang, Zirui Zhou
2024 J jnl
Evaluating LLM Reasoning in the Operations Research Domain with ORQA.
CoRR
Mahdi Mostajabdaveh, Timothy T. Yu, Samarendra Chandan Bindu Dash, Rindranirina Ramamonjison, Jabo Serge Byusa, Giuseppe Carenini, Zirui Zhou, Yong Zhang
2024 A* conf
Fair and Efficient Contribution Valuation for Vertical Federated Learning.
ICLR
Zhenan Fan, Huang Fang, Xinglu Wang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Yong Zhang
2024 — conf
Gait Patterns as Biomarkers: A Video-Based Approach for Classifying Scoliosis.
MICCAI (5)
Zirui Zhou, Junhao Liang, Zizhao Peng, Chao Fan, Fengwei An, Shiqi Yu
2024 J jnl
Gait Patterns as Biomarkers: A Video-Based Approach for Classifying Scoliosis.
CoRR
Zirui Zhou, Junhao Liang, Zizhao Peng, Chao Fan, Fengwei An, Shiqi Yu
2024 J jnl
GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models through Statistically-Guided Geo-Prototyping.
CoRR
Bang An, Xun Zhou, Zirui Zhou, Ronilo J. Ragodos, Zenglin Xu, Jun Luo
2024 J jnl
Learn2Aggregate: Supervised Generation of Chvátal-Gomory Cuts Using Graph Neural Networks.
CoRR
Arnaud Deza, Elias B. Khalil, Zhenan Fan, Zirui Zhou, Yong Zhang
2024 J jnl
Machine Learning Insides OptVerse AI Solver: Design Principles and Applications.
CoRR
Xijun Li, Fangzhou Zhu, Hui-Ling Zhen, Weilin Luo, Meng Lu, Yimin Huang, Zhenan Fan, Zirui Zhou, Yufei Kuang, Zhihai Wang, Zijie Geng, Yang Li, Haoyang Liu, Zhiwu An, Muming Yang, Jianshu Li, Jie Wang, Junchi Yan, Defeng Sun, Tao Zhong, Yong Zhang, Jia Zeng, Mingxuan Yuan, Jianye Hao, Jun Yao, Kun Mao
2024 J jnl
Optimization modeling and verification from problem specifications using a multi-agent multi-stage LLM framework.
INFOR Inf. Syst. Oper. Res.
Mahdi Mostajabdaveh, Timothy T. L. Yu, Rindranirina Ramamonjison, Giuseppe Carenini, Zirui Zhou, Yong Zhang
2024 J jnl
Privacy-Preserving Deployment Mechanism for Service Function Chains Across Multiple Domains.
IEEE Trans. Netw. Serv. Manag.
Jun Cai, Zirui Zhou, Zhongwei Huang, Wenlong Dai, Fei Richard Yu
2024 — conf
Towards Human-aligned Evaluation for Linear Programming Word Problems.
LREC/COLING
Linzi Xing, Xinglu Wang, Yuxi Feng, Zhenan Fan, Jing Xiong, Zhijiang Guo, Xiaojin Fu, Rindra Ramamonjison, Mahdi Mostajabdaveh, Xiongwei Han, Zirui Zhou, Yong Zhang
2024 B conf
Training Fair Models in Federated Learning without Data Privacy Infringement.
IEEE Big Data
Xin Che, Jingdi Hu, Zirui Zhou, Yong Zhang, Lingyang Chu
2023 J jnl
Decentralized Composite Optimization in Stochastic Networks: A Dual Averaging Approach With Linear Convergence.
IEEE Trans. Autom. Control.
Changxin Liu, Zirui Zhou, Jian Pei, Yong Zhang, Yang Shi
2023 — conf
Exact Combinatorial Optimization with Temporo-Attentional Graph Neural Networks.
ECML/PKDD (4)
Mehdi Seyfi, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
2023 J jnl
Exact Combinatorial Optimization with Temporo-Attentional Graph Neural Networks.
CoRR
Mehdi Seyfi, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
2023 J jnl
Iteration-Complexity of First-Order Augmented Lagrangian Methods for Convex Conic Programming.
SIAM J. Optim.
Zhaosong Lu, Zirui Zhou
2023 J jnl
NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions.
CoRR
Rindranirina Ramamonjison, Timothy T. L. Yu, Raymond Li, Haley Li, Giuseppe Carenini, Bissan Ghaddar, Shiqi He, Mahdi Mostajabdaveh, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
2023 A* conf
Smart Initial Basis Selection for Linear Programs.
ICML
Zhenan Fan, Xinglu Wang, Oleksandr Yakovenko, Abdullah Ali Sivas, Owen Ren, Yong Zhang, Zirui Zhou
2022 — conf
Augmenting Operations Research with Auto-Formulation of Optimization Models From Problem Descriptions.
EMNLP (Industry Track)
Rindra Ramamonjison, Haley Li, Timothy T. L. Yu, Shiqi He, Vishnu Rengan, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
2022 J jnl
Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions.
CoRR
Rindranirina Ramamonjison, Haley Li, Timothy T. L. Yu, Shiqi He, Vishnu Rengan, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
2022 J jnl
Fair and efficient contribution valuation for vertical federated learning.
CoRR
Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Yong Zhang
2022 A* conf
Improving Fairness for Data Valuation in Horizontal Federated Learning.
ICDE
Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Changxin Liu, Yong Zhang
2022 J jnl
Knowledge-Injected Federated Learning.
CoRR
Zhenan Fan, Zirui Zhou, Jian Pei, Michael P. Friedlander, Jiajie Hu, Chengliang Li, Yong Zhang
2022 J jnl
Non-convex exact community recovery in stochastic block model.
Math. Program.
Peng Wang, Zirui Zhou, Anthony Man-Cho So
2022 J jnl
Penalty and Augmented Lagrangian Methods for Constrained DC Programming.
Math. Oper. Res.
Zhaosong Lu, Zhe Sun, Zirui Zhou
2022 J jnl
Revealing Unfair Models by Mining Interpretable Evidence.
CoRR
Mohit Bajaj, Lingyang Chu, Vittorio Romaniello, Gursimran Singh, Jian Pei, Zirui Zhou, Lanjun Wang, Yong Zhang
2021 J jnl
Achieving Model Fairness in Vertical Federated Learning.
CoRR
Changxin Liu, Zirui Zhou, Yang Shi, Jian Pei, Lingyang Chu, Yong Zhang
2021 J jnl
An Optimal Resource Allocator of Elastic Training for Deep Learning Jobs on Cloud.
CoRR
Liang Hu, Jiangcheng Zhu, Zirui Zhou, Ruiqing Cheng, Xiaolong Bai, Yong Zhang
2021 J jnl
Decentralized Composite Optimization in Stochastic Networks: A Dual Averaging Approach with Linear Convergence.
CoRR
Changxin Liu, Zirui Zhou, Jian Pei, Yong Zhang, Yang Shi
2021 J jnl
FedFair: Training Fair Models In Cross-Silo Federated Learning.
CoRR
Lingyang Chu, Lanjun Wang, Yanjie Dong, Jian Pei, Zirui Zhou, Yong Zhang
2021 J jnl
Improving Fairness for Data Valuation in Federated Learning.
CoRR
Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Changxin Liu, Yong Zhang
2021 — conf
NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions.
NeurIPS (Competition and Demos)
Rindranirina Ramamonjison, Timothy T. L. Yu, Raymond Li, Haley Li, Giuseppe Carenini, Bissan Ghaddar, Shiqi He, Mahdi Mostajabdaveh, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
2021 — conf
Network-wide Traffic Signal Optimization under Connected Vehicles Environment.
ITSC
Liang Hu, Lanjun Wang, Zirui Zhou, Zhenli Sheng, Yong Zhang
2021 A* conf
Optimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Power Method.
ICML
Peng Wang, Huikang Liu, Zirui Zhou, Anthony Man-Cho So
2021 A* conf
Personalized Cross-Silo Federated Learning on Non-IID Data.
AAAI
Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei, Yong Zhang
2021 A* conf
Towards Fair Federated Learning.
KDD
Zirui Zhou, Lingyang Chu, Changxin Liu, Lanjun Wang, Jian Pei, Yong Zhang
2020 A* conf
A Nearly-Linear Time Algorithm for Exact Community Recovery in Stochastic Block Model.
ICML
Peng Wang, Zirui Zhou, Anthony Man-Cho So
2020 J jnl
Personalized Federated Learning: An Attentive Collaboration Approach.
CoRR
Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei, Yong Zhang
2019 J jnl
A family of inexact SQA methods for non-smooth convex minimization with provable convergence guarantees based on the Luo-Tseng error bound property.
Math. Program.
Man-Chung Yue, Zirui Zhou, Anthony Man-Cho So
2019 J jnl
Enhanced proximal DC algorithms with extrapolation for a class of structured nonsmooth DC minimization.
Math. Program.
Zhaosong Lu, Zirui Zhou, Zhe Sun
2019 J jnl
Nonmonotone Enhanced Proximal DC Algorithms for a Class of Structured Nonsmooth DC Programming.
SIAM J. Optim.
Zhaosong Lu, Zirui Zhou
2019 J jnl
On the Quadratic Convergence of the Cubic Regularization Method under a Local Error Bound Condition.
SIAM J. Optim.
Man-Chung Yue, Zirui Zhou, Anthony Man-Cho So
2017 J jnl
A unified approach to error bounds for structured convex optimization problems.
Math. Program.
Zirui Zhou, Anthony Man-Cho So
2017 J jnl
Non-asymptotic convergence analysis of inexact gradient methods for machine learning without strong convexity.
Optim. Methods Softw.
Anthony Man-Cho So, Zirui Zhou
2015 J jnl
A Unified Approach to Error Bounds for Structured Convex Optimization Problems.
CoRR
Zirui Zhou, Anthony Man-Cho So
2015 A* conf
\(\ell_{1, p}\)-Norm Regularization: Error Bounds and Convergence Rate Analysis of First-Order Methods.
ICML
Zirui Zhou, Qi Zhang, Anthony Man-Cho So
2014 A conf
Latent Aspect Mining via Exploring Sparsity and Intrinsic Information.
CIKM
Yinqing Xu, Tianyi Lin, Wai Lam, Zirui Zhou, Hong Cheng, Anthony Man-Cho So
2013 A* conf
Beyond convex relaxation: A polynomial-time non-convex optimization approach to network localization.
INFOCOM
Senshan Ji, Kam-Fung Sze, Zirui Zhou, Anthony Man-Cho So, Yinyu Ye
2013 — conf
On the Linear Convergence of the Proximal Gradient Method for Trace Norm Regularization.
NIPS
Ke Hou, Zirui Zhou, Anthony Man-Cho So, Zhi-Quan Luo