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Zirui Zhou
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2020 – today
- 2025
- [c21]Bang An, Xun Zhou, Zirui Zhou, Ronilo J. Ragodos, Zenglin Xu, Jun Luo:
GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping. AAAI 2025: 11427-11435 - [c20]Mahdi Mostajabdaveh, Timothy Tin Long Yu, Samarendra Chandan Bindu Dash, Rindra Ramamonjison, Jabo Serge Byusa, Giuseppe Carenini, Zirui Zhou, Yong Zhang:
Evaluating LLM Reasoning in the Operations Research Domain with ORQA. AAAI 2025: 24902-24910 - [c19]Arnaud Deza, Elias B. Khalil, Zhenan Fan, Zirui Zhou, Yong Zhang:
Learn2Aggregate: Supervised Generation of Chvatal-Gomory Cuts Using Graph Neural Networks. AAAI 2025: 26947-26954 - [i20]Junfeng Ni, Yu Liu, Ruijie Lu, Zirui Zhou, Song-Chun Zhu, Yixin Chen, Siyuan Huang:
Decompositional Neural Scene Reconstruction with Generative Diffusion Prior. CoRR abs/2503.14830 (2025) - 2024
- [j12]Mahdi Mostajabdaveh, Timothy T. L. Yu, Rindranirina Ramamonjison, Giuseppe Carenini, Zirui Zhou, Yong Zhang
:
Optimization modeling and verification from problem specifications using a multi-agent multi-stage LLM framework. INFOR Inf. Syst. Oper. Res. 62(4): 599-617 (2024) - [j11]Jun Cai
Privacy-Preserving Deployment Mechanism for Service Function Chains Across Multiple Domains. IEEE Trans. Netw. Serv. Manag. 21(1): 1241-1256 (2024) - [c18]Xin Che, Jingdi Hu, Zirui Zhou, Yong Zhang, Lingyang Chu:
Training Fair Models in Federated Learning without Data Privacy Infringement. IEEE Big Data 2024: 7687-7696 - [c17]Linzi Xing, Xinglu Wang, Yuxi Feng, Zhenan Fan, Jing Xiong, Zhijiang Guo, Xiaojin Fu, Rindra Ramamonjison, Mahdi Mostajabdaveh, Xiongwei Han, Zirui Zhou, Yong Zhang:
Towards Human-aligned Evaluation for Linear Programming Word Problems. LREC/COLING 2024: 16550-16556 - [c16]Zhenan Fan, Huang Fang, Xinglu Wang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Yong Zhang:
Fair and Efficient Contribution Valuation for Vertical Federated Learning. ICLR 2024 - [c15]Zirui Zhou, Junhao Liang, Zizhao Peng, Chao Fan, Fengwei An, Shiqi Yu:
Gait Patterns as Biomarkers: A Video-Based Approach for Classifying Scoliosis. MICCAI (5) 2024: 284-294 - [i19]Zhenan Fan, Bissan Ghaddar, Xinglu Wang, Linzi Xing, Yong Zhang
Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process. CoRR abs/2401.03244 (2024) - [i18]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
Machine Learning Insides OptVerse AI Solver: Design Principles and Applications. CoRR abs/2401.05960 (2024) - [i17]Zirui Zhou, Junhao Liang, Zizhao Peng, Chao Fan, Fengwei An, Shiqi Yu:
Gait Patterns as Biomarkers: A Video-Based Approach for Classifying Scoliosis. CoRR abs/2407.05726 (2024) - [i16]Arnaud Deza, Elias B. Khalil, Zhenan Fan, Zirui Zhou, Yong Zhang
Learn2Aggregate: Supervised Generation of Chvátal-Gomory Cuts Using Graph Neural Networks. CoRR abs/2409.06559 (2024) - [i15]Bang An, Xun Zhou, Zirui Zhou, Ronilo J. Ragodos, Zenglin Xu, Jun Luo:
GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models through Statistically-Guided Geo-Prototyping. CoRR abs/2412.15353 (2024) - [i14]Mahdi Mostajabdaveh, Timothy T. Yu, Samarendra Chandan Bindu Dash, Rindranirina Ramamonjison, Jabo Serge Byusa, Giuseppe Carenini, Zirui Zhou, Yong Zhang
Evaluating LLM Reasoning in the Operations Research Domain with ORQA. CoRR abs/2412.17874 (2024) - 2023
- [j10]Zhaosong Lu, Zirui Zhou:
Iteration-Complexity of First-Order Augmented Lagrangian Methods for Convex Conic Programming. SIAM J. Optim. 33(2): 1159-1190 (2023) - [j9]Changxin Liu, Zirui Zhou, Jian Pei
Decentralized Composite Optimization in Stochastic Networks: A Dual Averaging Approach With Linear Convergence. IEEE Trans. Autom. Control. 68(8): 4650-4665 (2023) - [c14]Zhenan Fan, Xinglu Wang, Oleksandr Yakovenko, Abdullah Ali Sivas, Owen Ren, Yong Zhang, Zirui Zhou:
Smart Initial Basis Selection for Linear Programs. ICML 2023: 9650-9664 - [c13]Mehdi Seyfi, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
Exact Combinatorial Optimization with Temporo-Attentional Graph Neural Networks. ECML/PKDD (4) 2023: 268-283 - [i13]Rindranirina Ramamonjison, Timothy T. L. Yu, Raymond Li, Haley Li, Giuseppe Carenini, Bissan Ghaddar
NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions. CoRR abs/2303.08233 (2023) - [i12]Mehdi Seyfi, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
Exact Combinatorial Optimization with Temporo-Attentional Graph Neural Networks. CoRR abs/2311.13843 (2023) - 2022
- [j8]Zhaosong Lu
Penalty and Augmented Lagrangian Methods for Constrained DC Programming. Math. Oper. Res. 47(3): 2260-2285 (2022) - [j7]Peng Wang
Non-convex exact community recovery in stochastic block model. Math. Program. 195(1): 1-37 (2022) - [c12]Rindra Ramamonjison, Haley Li, Timothy T. L. Yu, Shiqi He, Vishnu Rengan, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang:
Augmenting Operations Research with Auto-Formulation of Optimization Models From Problem Descriptions. EMNLP (Industry Track) 2022: 29-62 - [c11]Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei
Improving Fairness for Data Valuation in Horizontal Federated Learning. ICDE 2022: 2440-2453 - [i11]Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Yong Zhang:
Fair and efficient contribution valuation for vertical federated learning. CoRR abs/2201.02658 (2022) - [i10]Mohit Bajaj, Lingyang Chu, Vittorio Romaniello, Gursimran Singh, Jian Pei, Zirui Zhou, Lanjun Wang, Yong Zhang
Revealing Unfair Models by Mining Interpretable Evidence. CoRR abs/2207.05811 (2022) - [i9]Zhenan Fan, Zirui Zhou, Jian Pei, Michael P. Friedlander, Jiajie Hu, Chengliang Li, Yong Zhang
Knowledge-Injected Federated Learning. CoRR abs/2208.07530 (2022) - [i8]Rindranirina Ramamonjison, Haley Li, Timothy T. L. Yu, Shiqi He, Vishnu Rengan, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions. CoRR abs/2209.15565 (2022) - 2021
- [c10]Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei
Personalized Cross-Silo Federated Learning on Non-IID Data. AAAI 2021: 7865-7873 - [c9]Peng Wang, Huikang Liu, Zirui Zhou, Anthony Man-Cho So:
Optimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Power Method. ICML 2021: 10828-10838 - [c8]Liang Hu, Lanjun Wang
Network-wide Traffic Signal Optimization under Connected Vehicles Environment. ITSC 2021: 2463-2470 - [c7]Zirui Zhou, Lingyang Chu, Changxin Liu, Lanjun Wang
Towards Fair Federated Learning. KDD 2021: 4100-4101 - [c6]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:
NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions. NeurIPS (Competition and Demos) 2021: 189-203 - [i7]Changxin Liu, Zirui Zhou, Jian Pei, Yong Zhang, Yang Shi:
Decentralized Composite Optimization in Stochastic Networks: A Dual Averaging Approach with Linear Convergence. CoRR abs/2106.14075 (2021) - [i6]Liang Hu, Jiangcheng Zhu, Zirui Zhou, Ruiqing Cheng, Xiaolong Bai, Yong Zhang:
An Optimal Resource Allocator of Elastic Training for Deep Learning Jobs on Cloud. CoRR abs/2109.03389 (2021) - [i5]Lingyang Chu, Lanjun Wang, Yanjie Dong, Jian Pei, Zirui Zhou, Yong Zhang:
FedFair: Training Fair Models In Cross-Silo Federated Learning. CoRR abs/2109.05662 (2021) - [i4]Changxin Liu, Zirui Zhou, Yang Shi, Jian Pei, Lingyang Chu, Yong Zhang:
Achieving Model Fairness in Vertical Federated Learning. CoRR abs/2109.08344 (2021) - [i3]Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Changxin Liu, Yong Zhang:
Improving Fairness for Data Valuation in Federated Learning. CoRR abs/2109.09046 (2021) - 2020
- [c5]Peng Wang
A Nearly-Linear Time Algorithm for Exact Community Recovery in Stochastic Block Model. ICML 2020: 10126-10135 - [i2]Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei, Yong Zhang:
Personalized Federated Learning: An Attentive Collaboration Approach. CoRR abs/2007.03797 (2020)
2010 – 2019
- 2019
- [j6]Man-Chung Yue
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. 174(1-2): 327-358 (2019) - [j5]Zhaosong Lu
Enhanced proximal DC algorithms with extrapolation for a class of structured nonsmooth DC minimization. Math. Program. 176(1-2): 369-401 (2019) - [j4]Man-Chung Yue
On the Quadratic Convergence of the Cubic Regularization Method under a Local Error Bound Condition. SIAM J. Optim. 29(1): 904-932 (2019) - [j3]Zhaosong Lu
Nonmonotone Enhanced Proximal DC Algorithms for a Class of Structured Nonsmooth DC Programming. SIAM J. Optim. 29(4): 2725-2752 (2019) - 2017
- [j2]Zirui Zhou
A unified approach to error bounds for structured convex optimization problems. Math. Program. 165(2): 689-728 (2017) - [j1]Anthony Man-Cho So
Non-asymptotic convergence analysis of inexact gradient methods for machine learning without strong convexity. Optim. Methods Softw. 32(4): 963-992 (2017) - 2015
- [c4]Zirui Zhou, Qi Zhang, Anthony Man-Cho So:
\(\ell_{1, p}\)-Norm Regularization: Error Bounds and Convergence Rate Analysis of First-Order Methods. ICML 2015: 1501-1510 - [i1]Zirui Zhou, Anthony Man-Cho So:
A Unified Approach to Error Bounds for Structured Convex Optimization Problems. CoRR abs/1512.03518 (2015) - 2014
- [c3]Yinqing Xu, Tianyi Lin, Wai Lam, Zirui Zhou, Hong Cheng, Anthony Man-Cho So
Latent Aspect Mining via Exploring Sparsity and Intrinsic Information. CIKM 2014: 879-888 - 2013
- [c2]Senshan Ji, Kam-Fung Sze, Zirui Zhou
Beyond convex relaxation: A polynomial-time non-convex optimization approach to network localization. INFOCOM 2013: 2499-2507 - [c1]Ke Hou, Zirui Zhou, Anthony Man-Cho So, Zhi-Quan Luo:
On the Linear Convergence of the Proximal Gradient Method for Trace Norm Regularization. NIPS 2013: 710-718
Coauthor Index
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last updated on 2025-05-14 22:14 CEST by the dblp team
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