Yingdong Lu

71 papers A* 4B 1C 3Misc 1Journal 60Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
A randomized algorithm for model-based sparse signal recovery.
J. Glob. Optim.
Huiyuan Yu, Maggie Cheng, Yingdong Lu
2025 — conf
Fast Linear Solvers via AI-Tuned Markov Chain Monte Carlo-based Matrix Inversion.
SC Workshops
Anton Lebedev, Won Kyung Lee, Soumyadip Ghosh, Olha Ivanyshyn Yaman, Vassilis Kalantzis, Yingdong Lu, Tomasz Nowicki, Shashanka Ubaru, Lior Horesh, Vassil Alexandrov
2025 J jnl
Fast Linear Solvers via AI-Tuned Markov Chain Monte Carlo-based Matrix Inversion.
CoRR
Anton Lebedev, Won Kyung Lee, Soumyadip Ghosh, Olha Ivanyshyn Yaman, Vassilis Kalantzis, Yingdong Lu, Tomasz Nowicki, Shashanka Ubaru, Lior Horesh, Vassil Alexandrov
2025 J jnl
In-Context Reinforcement Learning via Communicative World Models.
CoRR
Fernando Martinez-Lopez, Tao Li, Yingdong Lu, Juntao Chen
2025 J jnl
On the variance of Schatten
Monte Carlo Methods Appl.
Lior Horesh, Vasileios Kalantzis, Yingdong Lu, Tomasz Nowicki
2025 J jnl
Optimal weighted-delay scheduling in 2˟ 2 input-queued switches.
Queueing Syst. Theory Appl.
Yingdong Lu, Siva Theja Maguluri, Mark S. Squillante, Tonghoon Suk, Yi Yao
2025 J jnl
Optimality and NP-Hardness of Transformers in Learning Markovian Dynamical Functions.
CoRR
Yanna Ding, Songtao Lu, Yingdong Lu, Tomasz Nowicki, Jianxi Gao
2025 — conf
Power iteration with probabilistic updates for systems with heterogeneous performance.
HPEC
Soumyadip Ghosh, Lior Horesh, Vassilis Kalantzis, Georgios Kollias, Yingdong Lu, Tomasz Nowicki, Shashanka Ubaru
2025 J jnl
Regenerative Ulam-von Neumann Algorithm: An Innovative Markov Chain Monte Carlo Method for Matrix Inversion.
SIAM J. Matrix Anal. Appl.
Soumyadip Ghosh, Lior Horesh, Vassilis Kalantzis, Yingdong Lu, Tomasz Nowicki
2025 J jnl
SPRIG: Stackelberg Perception-Reinforcement Learning with Internal Game Dynamics.
CoRR
Fernando Martinez-Lopez, Juntao Chen, Yingdong Lu
2025 J jnl
Stackelberg Coupling of Online Representation Learning and Reinforcement Learning.
CoRR
Fernando Martinez, Tao Li, Yingdong Lu, Juntao Chen
2024 J jnl
Federated Learning for Discrete Optimal Transport with Large Population under Incomplete Information.
CoRR
Navpreet Kaur, Juntao Chen, Yingdong Lu
2024 J jnl
On Convergence of the Alternating Directions SGHMC Algorithm.
CoRR
Soumyadip Ghosh, Yingdong Lu, Tomasz Nowicki
2024 J jnl
On The Variance of Schatten
CoRR
Lior Horesh, Vasileios Kalantzis, Yingdong Lu, Tomasz Nowicki
2024 J jnl
Regenerative Ulam-von Neumann Algorithm: An Innovative Markov chain Monte Carlo Method for Matrix Inversion.
CoRR
Soumyadip Ghosh, Lior Horesh, Vassilis Kalantzis, Yingdong Lu, Tomasz Nowicki
2023 J jnl
Markov Decision Process Framework for Control-Based Reinforcement Learning.
SIGMETRICS Perform. Evaluation Rev.
Yingdong Lu, Mark S. Squillante, Chai Wah Wu
2023 J jnl
On the control of density-dependent stochastic population processes with time-varying behavior.
Autom.
Yingdong Lu, Mark S. Squillante, Chai Wah Wu
2022 Misc conf
Chaos Prediction of Power Systems by Using Deep Learning.
ICMLC
Yingdong Lu, Duqu Wei
2022 J jnl
On Heavy-Traffic Optimal Scaling of c-Weighted MaxWeight Scheduling in Input-Queued Switches.
IEEE Trans. Autom. Control.
Yingdong Lu, Siva Theja Maguluri, Mark S. Squillante, Tonghoon Suk
2022 J jnl
On L2 convergence of the Hamiltonian Monte Carlo.
Appl. Math. Lett.
Soumyadip Ghosh, Yingdong Lu, Tomasz Nowicki
2022 J jnl
On Representations of Mean-Field Variational Inference.
CoRR
Soumyadip Ghosh, Yingdong Lu, Tomasz Nowicki, Edith Zhang
2022 J jnl
Performance Analysis of A Queueing System with Server Arrival and Departure.
SIGMETRICS Perform. Evaluation Rev.
Yingdong Lu
2022 J jnl
Polynomial convergence of iterations of certain random operators in Hilbert space.
CoRR
Soumyadip Ghosh, Yingdong Lu, Tomasz J. Nowicki
2021 J jnl
HMC, an Algorithms in Data Mining, the Functional Analysis approach.
CoRR
Soumyadip Ghosh, Yingdong Lu, Tomasz Nowicki
2021 J jnl
HMC, an example of Functional Analysis applied to Algorithms in Data Mining. The convergence in L
CoRR
Soumyadip Ghosh, Yingdong Lu, Tomasz Nowicki
2021 J jnl
Hamiltonian Monte Carlo with Asymmetrical Momentum Distributions.
CoRR
Soumyadip Ghosh, Yingdong Lu, Tomasz Nowicki
2020 B conf
A Randomized Algorithm for Sparse Recovery.
ICPR
Huiyuan Yu, Maggie X. Cheng, Yingdong Lu
2020 J jnl
Optimal Control in Fluid Models of nxn Input-Queued Switches under Linear Fluid-Flow Costs.
SIGMETRICS Perform. Evaluation Rev.
Yingdong Lu, Mark S. Squillante, Tonghoon Suk
2020 J jnl
Optimal Delay-Cost Scheduling Control in Fluid Models of General nxn Input-Queued Switches.
SIGMETRICS Perform. Evaluation Rev.
Yingdong Lu, Mark S. Squillante, Tonghoon Suk
2019 J jnl
A Control-Model-Based Approach for Reinforcement Learning.
CoRR
Yingdong Lu, Mark S. Squillante, Chai Wah Wu
2019 A* conf
A Family of Robust Stochastic Operators for Reinforcement Learning.
NeurIPS
Yingdong Lu, Mark S. Squillante, Chai Wah Wu
2019 J jnl
A Stochastic Knapsack Game: Revenue Management in Competitions.
CoRR
Yingdong Lu
2019 J jnl
Revisiting Stochastic Loss Networks: Structures and Approximations.
Math. Oper. Res.
Kyomin Jung, Yingdong Lu, Devavrat Shah, Mayank Sharma, Mark S. Squillante
2018 J jnl
A General Family of Robust Stochastic Operators for Reinforcement Learning.
CoRR
Yingdong Lu, Mark S. Squillante, Chai Wah Wu
2018 C conf
Control of Time-Varying Epidemic-Like Stochastic Processes and Their Mean-Field Limits.
ACC
Yingdong Lu, Mark S. Squillante, Chai Wah Wu
2018 C conf
Optimal Dynamic Control for Input-Queued Switches in Heavy Traffic.
ACC
Yingdong Lu, Siva Theja Maguluri, Mark S. Squillante, Tonghoon Suk
2017 J jnl
Epidemic-Like Stochastic Processes with Time-Varying Behavior: Structural Properties and Asymptotic Limits.
SIGMETRICS Perform. Evaluation Rev.
Yingdong Lu, Mark S. Squillante, Chai Wah Wu
2017 J jnl
Nearly Completely Decomposable Epidemic-Like Stochastic Processes with Time-Varying Behavior.
SIGMETRICS Perform. Evaluation Rev.
Yingdong Lu, Mark S. Squillante, Chai Wah Wu
2017 C conf
On optimal portfolios of dynamic resource allocations.
ACC
Yingdong Lu, Siva Theja Maguluri, Mark S. Squillante, Chai Wah Wu
2017 J jnl
Optimal Energy Procurement for Geo-distributed Data Centers in Multi-timescale Electricity Markets.
SIGMETRICS Perform. Evaluation Rev.
Yingdong Lu, Siva Theja Maguluri, Mark S. Squillante, Tonghoon Suk, X. Wu
2016 J jnl
Asymptotic Optimality of Constant-Order Policies for Lost Sales Inventory Models with Large Lead Times.
Math. Oper. Res.
David A. Goldberg, Dmitriy A. Katz-Rogozhnikov, Yingdong Lu, Mayank Sharma, Mark S. Squillante
2016 J jnl
Delay-Optimal Scheduling for Some Input-Queued Switches.
SIGMETRICS Perform. Evaluation Rev.
Yingdong Lu, Siva Theja Maguluri, Mark S. Squillante, Tonghoon Suk
2016 J jnl
Risk-Based Dynamic Allocation of Computing Resources.
SIGMETRICS Perform. Evaluation Rev.
Yingdong Lu, Siva Theja Maguluri, Mark S. Squillante, Chai Wah Wu
2015 J jnl
On the Control of Epidemic-Like Stochastic Processes with Time-Varying Behavior?
SIGMETRICS Perform. Evaluation Rev.
Yingdong Lu, Mark S. Squillante, Chai Wah Wu, Bo Zhang
2014 J jnl
Asymptotic optimality of constant capacity allocation policies for dynamic resource planning.
SIGMETRICS Perform. Evaluation Rev.
David A. Goldberg, Dimitriy A. Katz, Yingdong Lu, Mayank Sharma, Mark S. Squillante
2014 J jnl
Workforce management: Risk-based financial planning and capacity provisioning.
IBM J. Res. Dev.
Yingdong Lu, Mayank Sharma, Mark S. Squillante
2013 J jnl
Asymptotics of a class of resource planning problems.
SIGMETRICS Perform. Evaluation Rev.
Yingdong Lu, Mark S. Squillante, David D. Yao
2013 J jnl
Rewards, costs and flexibility in dynamic resource allocation: a stochastic optimal control approach.
SIGMETRICS Perform. Evaluation Rev.
Xuefeng Gao, Yingdong Lu, Mayank Sharma, Mark S. Squillante, J. W. Bosman
2013 J jnl
Stochastic optimal control for a general class of dynamic resource allocation problems.
SIGMETRICS Perform. Evaluation Rev.
Xuefeng Gao, Yingdong Lu, Mayank Sharma, Mark S. Squillante, J. W. Bosman
2012 A* conf
Provisioning for large scale cloud computing services.
SIGMETRICS
Yue Tan, Yingdong Lu, Cathy H. Xia
2012 J jnl
Provisioning for large scale loss network systems with applications in cloud computing.
SIGMETRICS Perform. Evaluation Rev.
Yue Tan, Yingdong Lu, Cathy H. Xia
2012 J jnl
Sales-force performance analytics and optimization.
IBM J. Res. Dev.
Moritz Baier, Jorge E. Carballo, Alice J. Chang, Yingdong Lu, Aleksandra Mojsilovic, M. Jonathan Richard, Moninder Singh, Mark S. Squillante, Kush R. Varshney
2011 J jnl
OnTheMark: Integrated Stochastic Resource Planning of Human Capital Supply Chains.
Interfaces
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
2010 J jnl
No-Holdback Allocation Rules for Continuous-Time Assemble-to-Order Systems.
Oper. Res.
Yingdong Lu, Jing-Sheng Song, Yao Zhao
2010 J jnl
On approximations for multiple multidimensional stochastic knapsacks.
SIGMETRICS Perform. Evaluation Rev.
Yingdong Lu, Mark S. Squillante
2010 J jnl
Performance management of IT services delivery.
SIGMETRICS Perform. Evaluation Rev.
Jianying Hu, Yingdong Lu, Aleksandra Mojsilovic, Mayank Sharma, Mark S. Squillante
2009 J jnl
Improved Approximations for Stochastic Loss Networks.
SIGMETRICS Perform. Evaluation Rev.
Jonatha Anselmi, Yingdong Lu, Mayank Sharma, Mark S. Squillante
2009 J jnl
Improved approximations for the Erlang loss model.
Queueing Syst. Theory Appl.
Jonatha Anselmi, Yingdong Lu, Mayank Sharma, Mark S. Squillante
2008 J jnl
Performance analysis for assemble-to-order systems with general renewal arrivals and random batch demands.
Eur. J. Oper. Res.
Yingdong Lu
2008 A* conf
Revisiting stochastic loss networks: structures and algorithms.
SIGMETRICS
Kyomin Jung, Yingdong Lu, Devavrat Shah, Mayank Sharma, Mark S. Squillante
2008 J jnl
The Stochastic Knapsack Revisited: Switch-Over Policies and Dynamic Pricing.
Oper. Res.
Grace Y. Lin, Yingdong Lu, David D. Yao
2007 A* conf
Optimal capacity planning in stochastic loss networks with time-varying workloads.
SIGMETRICS
Sandeep Bhadra, Yingdong Lu, Mark S. Squillante
2007 J jnl
Optimal capacity planning in stochastic loss networks.
SIGMETRICS Perform. Evaluation Rev.
Yingdong Lu, Ana Radovanovic, Mark S. Squillante
2005 J jnl
Dynamic scheduling to optimize utility functions of sojourn time moments in queueing systems.
SIGMETRICS Perform. Evaluation Rev.
Yingdong Lu, Mark S. Squillante
2005 J jnl
Order-Based Cost Optimization in Assemble-to-Order Systems.
Oper. Res.
Yingdong Lu, Jing-Sheng Song
2005 J jnl
Solving a dynamic resource allocation problem through continuous optimization.
IEEE Trans. Autom. Control.
Yingdong Lu
2004 J jnl
Optimal probabilistic routing in distributed parallel queues.
SIGMETRICS Perform. Evaluation Rev.
Xin Guo, Yingdong Lu, Mark S. Squillante
2003 J jnl
Optimal control of a fluid network with side constraints.
IEEE Trans. Autom. Control.
Yingdong Lu, David D. Yao
2003 J jnl
Order Fill Rate, Leadtime Variability, and Advance Demand Information in an Assemble-to-Order System.
Oper. Res.
Yingdong Lu, Jing-Sheng Song, David D. Yao
2002 J jnl
Applications of flexible pricing in business-to-business electronic commerce.
IBM Syst. J.
Martin Bichler, Jayant Kalagnanam, Kaan Katircioglu, Alan J. King, Richard D. Lawrence, Ho Soo Lee, Grace Y. Lin, Yingdong Lu
2001 J jnl
Performance analysis of assemble-to-order systems through strong approximations.
SIGMETRICS Perform. Evaluation Rev.
Yingdong Lu, Jing-Sheng Song, Weian Zheng