Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Sihan Zeng
Observed name:
Zeng, Sihan
Institutions:
Johns Hopkins University,
Johns Hopkins University Applied Physics Laboratory,
Meta (United States)
Observed institutions:
JPMorgan Chase & Co (United States),
Georgia Institute of Technology,
Johns Hopkins University,
Johns Hopkins University Applied Physics Laboratory,
J.P. Morgan,
Meta (United States),
The University of Texas at Austin
show all 7
ORCID:
0000-0002-0061-5780
Observed ORCID:
0000-0002-0061-5780
OpenAlex ID:
A5069872754
A reinforcement learning approach to parameter selection for distributed optimal power flow
2022
·
Sihan Zeng
, Alyssa Kody
, et al.
·
Electric Power Systems Research
·
48
A Decentralized Policy Gradient Approach to Multi-task Reinforcement Learning
2020
·
Zeng, Sihan
, Anwar, Aqeel
, et al.
·
arXiv (Cornell University)
·
25
PDF
A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning
2024
·
Sihan Zeng
, Thinh T. Doan
, et al.
·
SIAM Journal on Optimization
·
23
PDF
Fast Compressive Sensing Recovery Using Generative Models with Structured Latent Variables
2019
·
Shaojie Xu
, Sihan Zeng
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
20
PDF
Finite-Time Convergence Rates of Decentralized Stochastic Approximation With Applications in Multi-Agent and Multi-Task Learning
2022
·
Sihan Zeng
, Thinh T. Doan
, et al.
·
IEEE Transactions on Automatic Control
·
15
PDF
Generating Structured Plan Representation of Procedures with LLMs
2025
·
Garg, Deepeka
, Zeng, Sihan
, et al.
·
arXiv (Cornell University)
·
11
PDF
Nonasymptotic CLT and Error Bounds for Linear Two-Time-Scale Stochastic Approximation
2025
·
Kong, Seo Taek
, Zeng, Sihan
, et al.
·
arXiv (Cornell University)
·
8
PDF
Finite-Time Complexity of Online Primal-Dual Natural Actor-Critic Algorithm for Constrained Markov Decision Processes
2022
·
Sihan Zeng
, Thinh T. Doan
, et al.
·
IEEE Conference on Decision and Control (CDC)
·
7
PDF
Finite-Time Analysis of Decentralized Stochastic Approximation with Applications in Multi-Agent and Multi-Task Learning
2021
·
Sihan Zeng
, Thinh T. Doan
, et al.
·
IEEE Conference on Decision and Control (CDC)
·
6
Accelerated Multi-Time-Scale Stochastic Approximation: Optimal Complexity and Applications in Reinforcement Learning and Multi-Agent Games
2024
·
Zeng, Sihan
, Doan, Thinh T.
·
arXiv (Cornell University)
·
5
PDF
Approximate Equivariance in Reinforcement Learning
2024
·
Park, Jung Yeon
, Bhatt, Sujay
, et al.
·
arXiv (Cornell University)
·
4
PDF
Fast Two-Time-Scale Stochastic Gradient Method with Applications in Reinforcement Learning
2024
·
Zeng, Sihan
, Doan, Thinh T.
·
arXiv (Cornell University)
·
4
PDF
Sequential Fair Resource Allocation under a Markov Decision Process Framework
2023
·
Parisa Hassanzadeh
, Eleonora Kreacic
, et al.
·
ACM International Conference on AI in Finance (ICAIF)
·
4
PDF
Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games
2022
·
Sihan Zeng
, Thinh Doan
, et al.
·
neural information processing systems
·
4
PDF
Partially Observable Contextual Bandits With Linear Payoffs
2025
·
Sihan Zeng
, Sujay Bhatt
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
3
PDF
Accelerating Multi-Task Temporal Difference Learning under Low-Rank Representation
2025
·
Bai, Yitao
, Zeng, Sihan
, et al.
·
arXiv (Cornell University)
·
2
PDF
Learning in Stackelberg Mean Field Games: A Non-Asymptotic Analysis
2025
·
Sihan Zeng
, Benjamin Patrick Evans
, et al.
·
neural information processing systems
·
2
PDF
Learning Payment-Free Resource Allocation Mechanisms
2024
·
Sihan Zeng
, Sujay Bhatt
, et al.
·
Winter Simulation Conference
·
2
PDF
Natural Policy Gradient and Actor Critic Methods for Constrained Multi-Task Reinforcement Learning
2024
·
Zeng, Sihan
, Doan, Thinh T.
, et al.
·
arXiv (Cornell University)
·
2
PDF
Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems
2023
·
Sihan Zeng
, Thinh Doan
, et al.
·
neural information processing systems
·
2
PDF
Before the Rollout Ends: Early Terminal Reward Prediction for Long-horizon Coding Agents
2026
·
Yao, Jihan
, Zeng, Sihan
, et al.
·
arXiv (Cornell University)
·
1
PDF
Rethinking Neural Network Learning Rates: A Stackelberg Perspective
2026
·
Zeng, Sihan
, Bhatt, Sujay
, et al.
·
arXiv (Cornell University)
·
1
PDF
A Hessian-Free Actor-Critic Algorithm for Bi-Level Reinforcement Learning with Applications to LLM Fine-Tuning
2026
·
Zeng, Sihan
, Bhatt, Sujay
, et al.
·
arXiv (Cornell University)
·
1
PDF
ROCS: Request-Oriented Compute Sharing for Efficient Large-Scale Recommendation
2026
·
Chen, Yuxin
, Luo, Liang
, et al.
·
arXiv (Cornell University)
PDF
PADME: Procedure Aware DynaMic Execution
2026
·
Deepeka Garg
, Sihan Zeng
, et al.
·
Adaptive Agents and Multi-Agents Systems
Show more works
View as search
Works count:
28
Citation count:
200
H-index:
7
I10-index:
6
Year
Topic
Type
