ORLM: A Customizable Framework in Training Large Models for Automated Optimization Modeling.
Chenyu Huang, Zhengyang Tang, Shixi Hu, Ruoqing Jiang, Xin Zheng, Dongdong Ge, Benyou Wang, Zizhuo Wang.
Operations Research, 2025.
A Homogeneous Second-Order Descent Method for Nonconvex Optimization.
Chuwen Zhang, Chang He, Yuntian Jiang, Chenyu Xue, Bo Jiang, Dongdong Ge, Yinyu Ye.
Mathematics of Operations Research, 2025.
Faster Accelerated First-order Methods for Convex Optimization with Strongly Convex Function Constraints.
Zhenwei Lin, Qi Deng.
Annual Conference on Neural Information Processing Systems, 2025.
l_p sphere covering and approximating nuclear p-norm.
Jiewen Guan, Simai He, Bo Jiang, Zhening Li.
Mathematics of Operations Research, 2024.
A Single-Loop Robust Policy Gradient Method for Robust Markov Decision Processes.
Zhenwei Lin, Chenyu Xue, Qi Deng, Yinyu Ye.
International Conference on Machine Learning, 2024.
Robust Assortment Optimization Under the Markov Chain Choice Mode.
Antoine D′esir, Vineet Goyal, Bo Jiang, Tian Xie, Jiawei Zhang.
Operations Research, 2024.
Modern optimization theory and applications.
Deng Qi 1., Gao Jianjun 1., Ge Dongdong 1., He Simai 1., Jiang Bo 1., Li Xiaocheng 2., Wang Zizhuo 3., Yang Chaolin 1., Ye Yinyu 2.
SCIENTIA SINICA Mathematica, 2020.
On a Projective Ensemble Approach to Two Sample Test for Equality of Distributions.
Li. Z. and Zhang. Y.
ICML 2020.
A Feasible Level Proximal Point Method for Nonconvex Sparse Constrained Optimization.
Digvijay Boob, Qi Deng, Guanghui Lan and Yilin Wang.
NeurIPS 2020.
Managing a Hybrid RDC-DC Inventory System.
Xiaoyue Yan, Chaolin Yang, Tong Wang.
Production and Operations Management, 2019.
Nonparametric Intertemporal Advertising Budget Allocation for Revenue Management with Inventory Constraint.
Chaolin Yang, Yi Xiong.
European Journal of Operational Research, 2019.
Rescaling nonsmooth optimization using BFGS and Shor updates.
Jiayi Guo, Adrian Lewis.
Computational Optimization and Application, 2019.
Stochastic Approximation: fromStatistical Foundation toMultidisciplinary Developmentand Big Data Applications.
T Lai, H Yuan.
Statistical Science, 2019.
Information and Pricing Policies for Sales of Network Goods.
M. Hu, Z. Wang, Y. Feng.
Operations Research, 2019.
Blockbuster or Niche? Competitive Strategy Under Network Effects.
Y. Feng, M. Hu.
Management Science, 2019.
The discrete moment problem with nonconvex shape constraints.
X. Chen, S. He, B. Jiang, C. Ryan and T. Zhang.
Operations Research, 2019.
Exploring Human-Like Reading Strategy for Abstractive Text Summarization.
M Yang, Q Qu, WT Tu, Y Shen, Z Zhao, XJ Chen.
Proceedings of the 33rd AAAI Conference on Artifi cial Intelligence (AAAI), 2019.
Deep Learning-based Sequential Recommender Systems: Concepts, Algorithms, and Evaluations.
H Fang, G Guo, D Zhang, Y Shu.
ICWE tutorial, 2019.
Supervised User Ranking in Signed Social Networks.
X Li, H Fang, J Zhang.
AAAI, 2019.
Intelligent Site Selection for Bricks-and-Mortar Stores.
D Ge, L Hu, B Jiang, G Su and X Wu.
Modern Supply Chain Research and Applications, 2019.
Structured Nonconvex and Nonsmooth Optimization: Algorithms and Iteration Complexity Analysis.
B Jiang*, T Lin, S Ma and S Zhang.
Computational Optimization and Applications, 2019.
A nonconvex min-max framework and its applications to robust assortment optimization.
A. Desir, V. Goyal, B. Jiang, T. Xie and J. Zhang.
Operations Research, 2019.
A Unified Adaptive Tensor Approximation Scheme to Accelerate Composite Convex Optimization.
B. Jiang, T. Lin, and S. Zhang.
SIAM Journal on Optimization, 2019.
An Optimal High-Order Tensor Method for Convex Optimization.
B. Jiang, H. Wang, and S. Zhang.
Mathematics of Operations Research, 2019.
Adaptively Accelerating Cubic Regularized Newton's Methods for Convex Optimization via Random Sampling.
X. Chen, B. Jiang, T. Lin, and S. Zhang.
INFORMS Journal on Optimization, 2019.
Interior-point Methods Strike Back: Solving the Wasserstein Barycenter Problem.
D Ge, H Wang, Z Xiong, Y Ye.
NeurIPS 2019.
Patient Prioritization in Emergency Department Triage Systems:An Empirical Study of the Canadian Triage and Acuity Scale (CTAS).
Ding, Y, Park, E., Nagarajan, M., Grafstein, E.
Manufacturing & Service Operations Management, 2019.
Research Commentaryon Recommendations With Side Information: A Survey and Research Directions.
Z Sun, Q Guo, J Yang, H Fang*, G Guo, J Zhang, R Burke.
Electronic CommerceResearch and Applications, 2019.
Universal Latent Space Model Fitting for Large Networks with Edge Covariates.
Z Ma, Z Ma, H Yuan.
Journal of Machine Learning Research, 2019.
Multi-period Mean-Variance Optimization with Management Fees.
Cui, X. Y., J. J. Gao, Y. Shi.
Operational Research, 2019.
Discrete-Time Mean-CVaR Portfolio Selection and Time-Consistency Induced Term Structure of the CVaR.
M. S. Strub, D. Li, X.Y. Cui, J.J.Gao.
Journal of Economics Dynamics and Control, 2019.
On Continuous-time Constrained Stochastic Linear-Quadratic Control.
W.P. Wu, J.J. Gao, J.G. Lu, X. Li.
Automatica, 2019.
On explicit solution for stochastic linear-quadratic optimal control model with multiplicative noise.
W. P. Wu, J. J. Gao, D. Li.
IEEE Transactions on Automatic Control, 2019.
Time-consistent and self-coordination strategies for multi-period mean-Conditional Value-at-Risk portfolio selection.
X. Y. Cui, J. J. Gao, Y. Shi, S.S. Zhu.
European Journal of Operational Research, 2019.
H2MF: Hidden Hierarchical Matrix Factorization for Recommender Systems.
Hui Li, Yu Liu, Yuqiu Qian, Nikos Mamoulis, Wenting Tu, David W.Cheung.
Data Mining and Knowledge Discovery (DMKD), 2019.
Discovering author interest evolution in order-sensitive and Semantic-aware topic modeling.
Min Yang, Qiang Qu, Xiaojun Chen, Wenting Tu, Ying Shen, Jia Zhu.
Information Sciences, 2019.
Advanced community question answering by leveraging external knowledge and multi-task learning.
Min Yang, Wenting Tu, Qiang Qu, Wei Zhou, Qiao Liu, Jia Zhu.
Knowledge-Based Systems, 2019.
MARES: multitask learning algorithm for Web-scale real-time event summarization.
Min Yang, Wenting Tu, Qiang Qu, Kai Lei, Xiaojun Chen, Jia Zhu, Ying Shen.
World Wide Web Journal, 2019.
Neural Attentive Network for Cross-Domain Aspect-level Sentiment Classification.
Min Yang, Wenpeng Yin, Qiang Qu, Wenting Tu, Ying Shen, Xiaojun Chen.
IEEE Transactions on Affective Computing, 2019.
A Lack-of-fit Test with Screening in Sufficient Dimension Reduction.
Yaowu Zhang, Wei Zhong and Liping Zhu.
Statistica Sinica, 2019.
Near optimal methods for minimizing convex functions with Lipschitz p-th derivatives.
A. Gasnikov, P. Dvurechensky, E. Gorbunov, E. Vorontsova, D. Selikhanovych, C.A. Uribe, B. Jiang, H. Wang, S. Zhang, S. Bubeck, Q. Jiang, Y.T. Lee, Y. Li and A. Sidford.
In Conference on Learning Theory (COLT), 2019.
Measuring and Testing for Interval Quantile Dependence.
L Zhu, YW Zhang, K Xu.
THE ANNALS OF STATISTICS, 2018.
Nonsmooth Variants of Powell’s BFGS Convergence Theorem.
JY Guo?, AS LEWIS?.
SIAM Journal on Optimization, 2018.
MARES: Multitask Learning Algorithm for Web Scale Real-time Text Summarization.
M Yang, WT Tu, Q Qu, K Lei, X Chen, J Zhu, Y Shen.
World Wide Web Journal (WWWJ), 2018.
Investment Recommendation by Discovering High-quality Opinions in Investor based Social Networks.
WT Tu, M Yang, DW Cheung, N Mamoulis.
Information Systems(Elsevier), 2018.
Personalized Response Generation by Dual-learning based Domain Adaptation.
M Yang, WT Tu, Q Qu, Z Zhao, X Chen, J Zhu.
Neural Networks, 2018.
A Stock-movement Aware Approach for Discovering Investors’ Personalized Preferences in Stock Markets.
J Chang, WT Tu.
Proceedings of the 30th IEEE International Conference on Tools with Artifi cial Intelligence(ICTAI), 2018.
Who is Your Best Friend?: Ranking Social Network Friends According to Trust Relationship.
X Li, H Fang, Q Yang, J Zhang.
UMAP, 2018.
FILE: A Novel Framework for Predicting Social Status in Signed Networks.
X Li, H Fang, J Zhang.
AAAI, 2018.
Learning from Mistakes: Constructing and Mining Misdiagnosis Database to Reduce Cognitive Error.
H Fang, H Huang, G Li, Y Li.
ICIS, 2018.
SCNetworkViz: AWeb-Based System for Interactive Visualization of Supply Chain Network.
YH Liu, H Fang, Y Bao.
WITS demo, 2018.
A Generalized Stereotype Learning Approach and its Instantiation in Trust Modeling.
H Fang, J Zhang, M Sensoy.
ECRA, 2018.
Approximation Algorithms for Capacitated Perishable Inventory Systems with Positive Lead Times.
XL Chao, XT Gong, C Shi, CL Yang, HA Zhang, SX Zhou.
Management Science, 2018.
Low-M-Rank Tensor Completion and Robust Tensor PCA.
B Jiang, S Ma, and S Zhang.
IEEE Journal of Selected Topics in Signal Processing, 2018.
Highly accurate model for prediction of lung nodule malignancy with CT scans.
J Causey, J Zhang, S Ma, B Jiang, J Qualls, D Politte, F Prior, S Zhang, and X Huang.
Scientific Reports, 2018.
On the Information-Adaptive Variants of the ADMM: an Iteration Complexity Perspective.
X Gao, B Jiang*, and S Zhang.
Journal of Scientific Computing, 2018.
A tractable discrete fractional programming: application to constrained assortment optimization.
T Xie, D Ge.
Journal of Combinatorial Optimization, 2018.
A nonasymptotic approach to analyzing kidney exchange graphs.
Y Ding, D Ge, S He, CT Ryan.
Operations Research, 2018.
On doubly positive semidefinite programming relaxations.
T Fu, D Ge, Y Ye.
Journal of Computational Mathematics, 2018.
An improved algorithm for L2-Lp minimization problem
Dongdong Ge, Rongchuan He, Simai He.
Mathematical Programming, 2017.
SEMIPARAMETRIC ESTIMATION OF MULTIVARIATE PARTIALLY LINEAR MODELS.
YW Zhang, L Zhu.
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 2017.
Efficient Dimension Reduction for Multivariate Response Data.
YW Zhang, L Zhu, Y Ma.
JOURNAL OF MULTIVARIATE ANALYSIS, 2017.
Attention Based LSTM for Target Dependent Sentiment Classifi cation.
M Yang, WT Tu, J Wang, F Xu, X Chen.
Proceedings of the 31st AAAI Conference on Artifi cial Intelligence( AAAI), 2017.
Detecting Time Synchronization Attacks in Cyber-Physical Systems with Machine Learning Techniques.
J Wang, WT Tu, LCK Hui, SM Yiu, EK Wang.
IEEE Proceedings of the 37th International Conference on Distributed Computing Systems (ICDCS), 2017.
Personalized Location Recommendation by Aggregating Multiple Recommenders in Diversity.
Z Lu, H Wang, N Mamoulis, WT Tu, DW Cheung.
Geoinformatica, 2017.
A Topic Drift Model for Authorship Attribution.
M Yang, X Chen, WT Tu, Z Lu, J Zhu, Q Fin.
Neurocomputing, 2017.
More Focus on What You Care About: Personalized Top Reviews Set.
WT Tu, DW Cheung, N Mamoulis.
Neurocomputing, 2017.
Activity Recommendation with Partners.
WT Tu, DW Cheung, N Mamoulis, M Yang, Z Lu.
ACM Transactions on the Web (TWEB), 2017.
A Feature-based Approach for the Redefined Link Prediction Problem in Signed Networks.
X Li, H Fang, J Zhang.
ADMA, 2017.
Rethinking the Link Prediction Problem in Signed Social Networks.
X Li, H Fang, J Zhang.
AAAI student abstract program, 2017.
Mitigating Inventory Overstocking: Optimal Order-up-to Level to Achieve a Target Fill Rate over a Finite Horizon.
Y Tan, AA Paul, Q Deng, L Wei.
PRODUCTION AND OPERATIONS MANAGEMENT, 2017.
A Non-Cooperative Approach to Cost Allocation in Joint Replenishment.
He, Simai and Sethuraman, Jay and Wang, Xuan and Zhang, Jiawei.
Operations Research, 2017.
Strong NP-hardness result for sparse optimization with concave penalty functions.
D Ge, Z Wang, Y Ye, H Yin.
In International Conference on Machine Learning, 2017.
An improved algorithm for fixed-hub single allocation problems.
D Ge, ZZ Wang, L Wei, JW Zhang.
Journal of the Operations Research Society of China, 2017.
On Cones of Nonnegative Quartic Forms.
B. Jiang, Z. Li, and S. Zhang.
Journal of Foundations of Computational Mathematics, 2017.
Tensor and Its Tucker Core: the Invariance Relationships.
B. Jiang, F. Yang and S. Zhang
Numerical Linear Algebra with Applications, 2017.
On New Classes of Nonnegative Symmetric Tensors.
Bilian Chen, Simai He, Zhening Li, Shuzhong Zhang.
Siam Journal on Optimization, 2017.
An improved algorithm for L2-Lp minimization problem.
D Ge, R He, S He.
Mathematical Programming, 2017.
B-trees and Cache-Oblivious B-trees with Different-Sized Atomic Keys.
Michael A. Bender, Roozbeh Ebrahimi, Haodong Hu, and Bradley C. Kuszmaul.
Transactions on Database Systems (TODS), 41(3), 19:1-19:33, August 2016.
Characterizing Real-Valued Multivariate Complex Polynomials and Their Symmetric Tensor Representations.
B. Jiang, Z. Li, and S. Zhang
SIAM Journal on Matrix Analysis and Applications, 2016.
A Note on Semidefinite Programming Relaxations for Polynomial Optimization over A Single Sphere.
J. Hu, B. Jiang, X. Liu and Z. Wen
Science China Mathematics, 2016.
SparRec: An effective matrix completion framework of missing data imputation for GWAS.
B. Jiang, S. Ma, M. P. Hardin, L. Qiao, J. Causey, I. Bitts, D. Johnson, S. Zhang* and X. Huang*
Scientific Reports: A Journal of the Nature Publishing Group, 2016.
Continuous-review (r, nQ) policies for inventory systems with dual delivery modes.
S. X. Zhou, Chaolin Yang(Corresponding author).
Operations Research, 2016.