Performance analysis of assemble-to-order systems through strong approximations. - Yingdong Lu; Jing-Sheng Song 001; Weian Zheng (SIGMETRICS Perform. Evaluation Rev., 2001)

Applications of flexible pricing in business-to-business electronic commerce. - Martin Bichler; Jayant Kalagnanam; Kaan Katircioglu; Alan J. King; Richard D. Lawrence; Ho Soo Lee; Grace Y. Lin; Yingdong Lu (IBM Syst. J., 2002)

Order Fill Rate, Leadtime Variability, and Advance Demand Information in an Assemble-to-Order System. - Yingdong Lu; Jing-Sheng Song 001; David D. Yao (Oper. Res., 2003)

Optimal control of a fluid network with side constraints. - Yingdong Lu; David D. Yao (IEEE Trans. Autom. Control., 2003)

Optimal probabilistic routing in distributed parallel queues. - Xin Guo 001; Yingdong Lu; Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2004)

Order-Based Cost Optimization in Assemble-to-Order Systems. - Yingdong Lu; Jing-Sheng Song 001 (Oper. Res., 2005)

Dynamic scheduling to optimize utility functions of sojourn time moments in queueing systems. - Yingdong Lu; Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2005)

Solving a dynamic resource allocation problem through continuous optimization. - Yingdong Lu (IEEE Trans. Autom. Control., 2005)

Optimal capacity planning in stochastic loss networks with time-varying workloads. - Sandeep Bhadra; Yingdong Lu; Mark S. Squillante (SIGMETRICS, 2007)

Optimal capacity planning in stochastic loss networks. - Yingdong Lu; Ana Radovanovic; Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2007)

Revisiting stochastic loss networks: structures and algorithms. - Kyomin Jung; Yingdong Lu; Devavrat Shah; Mayank Sharma; Mark S. Squillante (SIGMETRICS, 2008)

Performance analysis for assemble-to-order systems with general renewal arrivals and random batch demands. - Yingdong Lu (Eur. J. Oper. Res., 2008)

The Stochastic Knapsack Revisited: Switch-Over Policies and Dynamic Pricing. - Grace Y. Lin; Yingdong Lu; David D. Yao (Oper. Res., 2008)

Improved approximations for the Erlang loss model. - Jonatha Anselmi; Yingdong Lu; Mayank Sharma; Mark S. Squillante (Queueing Syst. Theory Appl., 2009)

Improved Approximations for Stochastic Loss Networks. - Jonatha Anselmi; Yingdong Lu; Mayank Sharma; Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2009)

No-Holdback Allocation Rules for Continuous-Time Assemble-to-Order Systems. - Yingdong Lu; Jing-Sheng Song 001; Yao Zhao (Oper. Res., 2010)

Performance management of IT services delivery. - Jianying Hu; Yingdong Lu; Aleksandra Mojsilovic; Mayank Sharma; Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2010)

On approximations for multiple multidimensional stochastic knapsacks. - Yingdong Lu; Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2010)

OnTheMark: Integrated Stochastic Resource Planning of Human Capital Supply Chains. - Heng Cao; Jianying Hu; Chen Jiang; Tarun Kumar; Ta-Hsin Li; Yang Liu; Yingdong Lu; Shilpa Mahatma; Aleksandra Mojsilovic; Mayank Sharma; Mark S. Squillante; Yichong Yu (Interfaces, 2011)

Provisioning for large scale cloud computing services. - Yue Tan; Yingdong Lu; Cathy H. Xia (SIGMETRICS, 2012)

Sales-force performance analytics and optimization. - Moritz Baier; Jorge E. Carballo; Alice J. Chang; Yingdong Lu; Aleksandra Mojsilovic; M. Jonathan Richard; Moninder Singh; Mark S. Squillante; Kush R. Varshney (IBM J. Res. Dev., 2012)

Provisioning for large scale loss network systems with applications in cloud computing. - Yue Tan; Yingdong Lu; Cathy H. Xia (SIGMETRICS Perform. Evaluation Rev., 2012)

Stochastic optimal control for a general class of dynamic resource allocation problems. - Xuefeng Gao; Yingdong Lu; Mayank Sharma; Mark S. Squillante; J. W. Bosman (SIGMETRICS Perform. Evaluation Rev., 2013)

Rewards, costs and flexibility in dynamic resource allocation: a stochastic optimal control approach. - Xuefeng Gao; Yingdong Lu; Mayank Sharma; Mark S. Squillante; J. W. Bosman (SIGMETRICS Perform. Evaluation Rev., 2013)

Asymptotics of a class of resource planning problems. - Yingdong Lu; Mark S. Squillante; David D. Yao (SIGMETRICS Perform. Evaluation Rev., 2013)

Workforce management: Risk-based financial planning and capacity provisioning. - Yingdong Lu; Mayank Sharma; Mark S. Squillante (IBM J. Res. Dev., 2014)

Asymptotic optimality of constant capacity allocation policies for dynamic resource planning. - David A. Goldberg 001; Dimitriy A. Katz; Yingdong Lu; Mayank Sharma; Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2014)

On the Control of Epidemic-Like Stochastic Processes with Time-Varying Behavior? - Yingdong Lu; Mark S. Squillante; Chai Wah Wu; Bo Zhang (SIGMETRICS Perform. Evaluation Rev., 2015)

Asymptotic Optimality of Constant-Order Policies for Lost Sales Inventory Models with Large Lead Times. - David A. Goldberg 001; Dmitriy A. Katz-Rogozhnikov; Yingdong Lu; Mayank Sharma; Mark S. Squillante (Math. Oper. Res., 2016)

Delay-Optimal Scheduling for Some Input-Queued Switches. - Yingdong Lu; Siva Theja Maguluri; Mark S. Squillante; Tonghoon Suk (SIGMETRICS Perform. Evaluation Rev., 2016)

Risk-Based Dynamic Allocation of Computing Resources. - Yingdong Lu; Siva Theja Maguluri; Mark S. Squillante; Chai Wah Wu (SIGMETRICS Perform. Evaluation Rev., 2016)

On optimal portfolios of dynamic resource allocations. - Yingdong Lu; Siva Theja Maguluri; Mark S. Squillante; Chai Wah Wu (ACC, 2017)

Optimal Energy Procurement for Geo-distributed Data Centers in Multi-timescale Electricity Markets. - Yingdong Lu; Siva Theja Maguluri; Mark S. Squillante; Tonghoon Suk; X. Wu (SIGMETRICS Perform. Evaluation Rev., 2017)

Nearly Completely Decomposable Epidemic-Like Stochastic Processes with Time-Varying Behavior. - Yingdong Lu; Mark S. Squillante; Chai Wah Wu (SIGMETRICS Perform. Evaluation Rev., 2017)

Epidemic-Like Stochastic Processes with Time-Varying Behavior: Structural Properties and Asymptotic Limits. - Yingdong Lu; Mark S. Squillante; Chai Wah Wu (SIGMETRICS Perform. Evaluation Rev., 2017)

Optimal Dynamic Control for Input-Queued Switches in Heavy Traffic. - Yingdong Lu; Siva Theja Maguluri; Mark S. Squillante; Tonghoon Suk (ACC, 2018)

Control of Time-Varying Epidemic-Like Stochastic Processes and Their Mean-Field Limits. - Yingdong Lu; Mark S. Squillante; Chai Wah Wu (ACC, 2018)

A General Family of Robust Stochastic Operators for Reinforcement Learning. - Yingdong Lu; Mark S. Squillante; Chai Wah Wu (CoRR, 2018)

A Family of Robust Stochastic Operators for Reinforcement Learning. - Yingdong Lu; Mark S. Squillante; Chai Wah Wu (NeurIPS, 2019)

A Control-Model-Based Approach for Reinforcement Learning. - Yingdong Lu; Mark S. Squillante; Chai Wah Wu (CoRR, 2019)

A Stochastic Knapsack Game: Revenue Management in Competitions. - Yingdong Lu (CoRR, 2019)

Revisiting Stochastic Loss Networks: Structures and Approximations. - Kyomin Jung; Yingdong Lu; Devavrat Shah; Mayank Sharma; Mark S. Squillante (Math. Oper. Res., 2019)

A Randomized Algorithm for Sparse Recovery. - Huiyuan Yu; Maggie X. Cheng; Yingdong Lu (ICPR, 2020)

Optimal Delay-Cost Scheduling Control in Fluid Models of General nxn Input-Queued Switches. - Yingdong Lu; Mark S. Squillante; Tonghoon Suk (SIGMETRICS Perform. Evaluation Rev., 2020)

Optimal Control in Fluid Models of nxn Input-Queued Switches under Linear Fluid-Flow Costs. - Yingdong Lu; Mark S. Squillante; Tonghoon Suk (SIGMETRICS Perform. Evaluation Rev., 2020)

HMC, an example of Functional Analysis applied to Algorithms in Data Mining. The convergence in Lp. - Soumyadip Ghosh; Yingdong Lu; Tomasz Nowicki (CoRR, 2021)

HMC, an Algorithms in Data Mining, the Functional Analysis approach. - Soumyadip Ghosh; Yingdong Lu; Tomasz Nowicki (CoRR, 2021)

Hamiltonian Monte Carlo with Asymmetrical Momentum Distributions. - Soumyadip Ghosh; Yingdong Lu; Tomasz Nowicki (CoRR, 2021)

Chaos Prediction of Power Systems by Using Deep Learning. - Yingdong Lu; Duqu Wei (ICMLC, 2022)

On L2 convergence of the Hamiltonian Monte Carlo. - Soumyadip Ghosh; Yingdong Lu; Tomasz Nowicki (Appl. Math. Lett., 2022)

Polynomial convergence of iterations of certain random operators in Hilbert space. - Soumyadip Ghosh; Yingdong Lu; Tomasz J. Nowicki (CoRR, 2022)

On Representations of Mean-Field Variational Inference. - Soumyadip Ghosh; Yingdong Lu; Tomasz Nowicki; Edith Zhang (CoRR, 2022)

Performance Analysis of A Queueing System with Server Arrival and Departure. - Yingdong Lu (SIGMETRICS Perform. Evaluation Rev., 2022)

On Heavy-Traffic Optimal Scaling of c-Weighted MaxWeight Scheduling in Input-Queued Switches. - Yingdong Lu; Siva Theja Maguluri; Mark S. Squillante; Tonghoon Suk (IEEE Trans. Autom. Control., 2022)

On the control of density-dependent stochastic population processes with time-varying behavior. - Yingdong Lu; Mark S. Squillante; Chai Wah Wu (Autom., 2023)

Markov Decision Process Framework for Control-Based Reinforcement Learning. - Yingdong Lu; Mark S. Squillante; Chai Wah Wu (SIGMETRICS Perform. Evaluation Rev., 2023)

On Convergence of the Alternating Directions SGHMC Algorithm. - Soumyadip Ghosh; Yingdong Lu; Tomasz Nowicki (CoRR, 2024)

Regenerative Ulam-von Neumann Algorithm: An Innovative Markov chain Monte Carlo Method for Matrix Inversion. - Soumyadip Ghosh; Lior Horesh; Vassilis Kalantzis; Yingdong Lu; Tomasz Nowicki (CoRR, 2024)

Federated Learning for Discrete Optimal Transport with Large Population under Incomplete Information. - Navpreet Kaur; Juntao Chen; Yingdong Lu (CoRR, 2024)

On the variance of Schatten p-norm estimation with Gaussian sketching matrices. - Lior Horesh; Vasileios Kalantzis; Yingdong Lu; Tomasz Nowicki (Monte Carlo Methods Appl., 2025)

SPRIG: Stackelberg Perception-Reinforcement Learning with Internal Game Dynamics. - Fernando Martinez-Lopez; Juntao Chen; Yingdong Lu (CoRR, 2025)

In-Context Reinforcement Learning via Communicative World Models. - Fernando Martinez-Lopez; Tao Li; Yingdong Lu; Juntao Chen (CoRR, 2025)

Stackelberg Coupling of Online Representation Learning and Reinforcement Learning. - Fernando Martinez; Tao Li; Yingdong Lu; Juntao Chen (CoRR, 2025)