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Sihan Zeng
ORCID
Publication Activity (10 Years)
Years Active: 2017-2024
Publications (10 Years): 33
Top Topics
Actor Critic
Compressive Sensing
Stochastic Approximation
Reinforcement Learning
Top Venues
CoRR
CDC
NeurIPS
SIAM J. Optim.
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Publications
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Sihan Zeng
,
Thinh T. Doan
,
Justin Romberg
A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning.
SIAM J. Optim.
34 (1) (2024)
Sihan Zeng
,
Thinh T. Doan
Fast two-time-scale stochastic gradient method with applications in reinforcement learning.
COLT
(2024)
Sihan Zeng
,
Thinh T. Doan
Fast Two-Time-Scale Stochastic Gradient Method with Applications in Reinforcement Learning.
CoRR
(2024)
Sihan Zeng
,
Thinh T. Doan
,
Justin Romberg
Natural Policy Gradient and Actor Critic Methods for Constrained Multi-Task Reinforcement Learning.
CoRR
(2024)
Sihan Zeng
,
Youngdae Kim
,
Yuxuan Ren
,
Kibaek Kim
QCQP-Net: Reliably Learning Feasible Alternating Current Optimal Power Flow Solutions Under Constraints.
CoRR
(2024)
Sihan Zeng
,
Youngdae Kim
,
Yuxuan Ren
,
Kibaek Kim
QCQP-Net: Reliably learning feasible alternating current optimal power flow solutions under constraints.
L4DC
(2024)
Parisa Hassanzadeh
,
Eleonora Kreacic
,
Sihan Zeng
,
Yuchen Xiao
,
Sumitra Ganesh
Sequential Fair Resource Allocation under a Markov Decision Process Framework.
CoRR
(2023)
Keyi Yu
,
Yu Wang
,
Sihan Zeng
,
Chen Liang
,
Xiaoyu Bai
,
Dachi Chen
,
Wenping Wang
InkGAN: Generative Adversarial Networks for Ink-And-Wash Style Transfer of Photographs.
Adv. Artif. Intell. Mach. Learn.
3 (2) (2023)
Sihan Zeng
,
Sujay Bhatt
,
Eleonora Kreacic
,
Parisa Hassanzadeh
,
Alec Koppel
,
Sumitra Ganesh
Near-Optimal Fair Resource Allocation for Strategic Agents without Money: A Data-Driven Approach.
CoRR
(2023)
Sihan Zeng
,
Thinh T. Doan
,
Justin Romberg
Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems.
NeurIPS
(2023)
Sihan Zeng
,
Thinh T. Doan
,
Justin Romberg
Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems.
CoRR
(2023)
Sihan Zeng
,
Thinh T. Doan
,
Justin Romberg
Finite-Time Convergence Rates of Decentralized Stochastic Approximation With Applications in Multi-Agent and Multi-Task Learning.
IEEE Trans. Autom. Control.
68 (5) (2023)
Parisa Hassanzadeh
,
Eleonora Kreacic
,
Sihan Zeng
,
Yuchen Xiao
,
Sumitra Ganesh
Sequential Fair Resource Allocation under a Markov Decision Process Framework.
ICAIF
(2023)
Sihan Zeng
,
Thinh T. Doan
,
Justin Romberg
Finite-Time Complexity of Online Primal-Dual Natural Actor-Critic Algorithm for Constrained Markov Decision Processes.
CDC
(2022)
Sihan Zeng
,
Thinh T. Doan
,
Justin Romberg
Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games.
NeurIPS
(2022)
Sihan Zeng
,
Zhongliang Pan
An unsupervised font style transfer model based on generative adversarial networks.
Multim. Tools Appl.
81 (4) (2022)
Sihan Zeng
,
Thinh T. Doan
,
Justin Romberg
Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games.
CoRR
(2022)
Sihan Zeng
,
Malik Aqeel Anwar
,
Thinh T. Doan
,
Arijit Raychowdhury
,
Justin Romberg
A decentralized policy gradient approach to multi-task reinforcement learning.
UAI
(2021)
Sihan Zeng
,
Thinh T. Doan
,
Justin Romberg
A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning.
CoRR
(2021)
Sihan Zeng
,
Alyssa Kody
,
Youngdae Kim
,
Kibaek Kim
,
Daniel K. Molzahn
A Reinforcement Learning Approach to Parameter Selection for Distributed Optimization in Power Systems.
CoRR
(2021)
Huandong Wang
,
Sihan Zeng
,
Yong Li
,
Depeng Jin
Predictability and Prediction of Human Mobility Based on Application-Collected Location Data.
IEEE Trans. Mob. Comput.
20 (7) (2021)
Sihan Zeng
,
Thinh T. Doan
,
Justin Romberg
Finite-Time Complexity of Online Primal-Dual Natural Actor-Critic Algorithm for Constrained Markov Decision Processes.
CoRR
(2021)
Sihan Zeng
,
Thinh T. Doan
,
Justin Romberg
Finite-Time Analysis of Decentralized Stochastic Approximation with Applications in Multi-Agent and Multi-Task Learning.
CDC
(2021)
Huandong Wang
,
Sihan Zeng
,
Yong Li
,
Pengyu Zhang
,
Depeng Jin
Human Mobility Prediction Using Sparse Trajectory Data.
IEEE Trans. Veh. Technol.
69 (9) (2020)
Sihan Zeng
,
Aqeel Anwar
,
Thinh T. Doan
,
Justin Romberg
,
Arijit Raychowdhury
A Decentralized Policy Gradient Approach to Multi-task Reinforcement Learning.
CoRR
(2020)
Sihan Zeng
,
Thinh T. Doan
,
Justin Romberg
Finite-Time Analysis of Decentralized Stochastic Approximation with Applications in Multi-Agent and Multi-Task Learning.
CoRR
(2020)
Xinlei Chen
,
Carlos Ruiz Dominguez
,
Sihan Zeng
,
Liyao Gao
,
Aveek Purohit
,
Stefano Carpin
,
Pei Zhang
H-DrunkWalk: Collaborative and Adaptive Navigation for Heterogeneous MAV Swarm.
ACM Trans. Sens. Networks
16 (2) (2020)
Huandong Wang
,
Yong Li
,
Sihan Zeng
,
Gang Wang
,
Pengyu Zhang
,
Pan Hui
,
Depeng Jin
Modeling Spatio-Temporal App Usage for a Large User Population.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
3 (1) (2019)
Sihan Zeng
,
Jose Manuel Monsalve Diaz
,
Siddhisanket Raskar
Toward A High-Performance Emulation Platformfor Brain-Inspired Intelligent SystemsExploring Dataflow-Based Execution Model and Beyond.
COMPSAC (2)
(2019)
Shaojie Xu
,
Sihan Zeng
,
Justin Romberg
Fast Compressive Sensing Recovery Using Generative Models with Structured Latent Variables.
CoRR
(2019)
Xuesi Zhou
,
Haoqi Xiong
,
Sihan Zeng
,
Xiangling Fu
,
Ji Wu
An approach for medical event detection in Chinese clinical notes of electronic health records.
BMC Medical Informatics Decis. Mak.
(2) (2019)
Shaojie Xu
,
Sihan Zeng
,
Justin Romberg
Fast Compressive Sensing Recovery Using Generative Models with Structured Latent Variables.
ICASSP
(2019)
Sihan Zeng
,
Huandong Wang
,
Yong Li
,
Depeng Jin
Predictability and Prediction of Human Mobility Based on Application-Collected Location Data.
MASS
(2017)