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ORCIDSihan Zeng
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j11]Chunlin Li
, Long Yu, Sihan Zeng, Yong Zhang, Kun Jiang, Shaohua Wan:
Stackelberg Game-Based Task Offloading for Joint Service Caching and Resource Allocation Optimization in UAV-Assisted VEC. ACM Trans. Internet Things 6(1): 1-31 (2025)- [i21]Sihan Zeng, Sujay Bhatt, Alec Koppel, Sumitra Ganesh:
Regularized Proportional Fairness Mechanism for Resource Allocation Without Money. CoRR abs/2501.01111 (2025) - [i20]Benjamin Patrick Evans, Sihan Zeng, Sumitra Ganesh, Leo Ardon:
ADAGE: A generic two-layer framework for adaptive agent based modelling. CoRR abs/2501.09429 (2025) - [i19]Seo Taek Kong, Sihan Zeng, Thinh T. Doan, R. Srikant:
Nonasymptotic CLT and Error Bounds for Two-Time-Scale Stochastic Approximation. CoRR abs/2502.09884 (2025) - [i18]Mingfu Liang, Xi Liu, Rong Jin, Boyang Liu, Qiuling Suo, Qinghai Zhou, Song Zhou, Laming Chen, Hua Zheng, Zhiyuan Li, Shali Jiang, Jiyan Yang, Xiaozhen Xia, Fan Yang, Yasmine Badr, Ellie Wen, Shuyu Xu, Hansey Chen, Zhengyu Zhang, Jade Nie, Chunzhi Yang, Zhichen Zeng, Weilin Zhang, Xingliang Huang, Qianru Li, Shiquan Wang, Evelyn Lyu, Wenjing Lu, Rui Zhang, Wenjun Wang, Jason Rudy, Mengyue Hang, Kai Wang, Yinbin Ma, Shuaiwen Wang, Sihan Zeng, Tongyi Tang, Xiaohan Wei, Longhao Jin, Jamey Zhang, Marcus Chen, Jiayi Zhang, Angie Huang, Chi Zhang, Zhengli Zhao, Jared Yang, Qiang Jin, Xian Chen, Amit Anand Amlesahwaram, Lexi Song, Liang Luo, Yuchen Hao, Nan Xiao, Yavuz Yetim, Luoshang Pan, Gaoxiang Liu, Yuxi Hu, Yuzhen Huang, Jackie Xu, Rich Zhu, Xin Zhang, Yiqun Liu, Hang Yin, Yuxin Chen, Buyun Zhang, Xiaoyi Liu, Xingyuan Wang, Wenguang Mao, Zhijing Li, Qin Huang, Chonglin Sun, Shupin Mao, Benjamin Au, Jingzheng Qin, Peggy Yao, Jae-Woo Choi, Bin Gao, Ernest Wang, Lei Zhang, Wen-Yen Chen, Ted Lee, Jay Zha, Yi Meng, Alex Gong, Edison Gao, Alireza Vahdatpour, Yiping Han, Yantao Yao, Toshinari Kureha, Shuo Chang, Musharaf Sultan, John Bocharov, Sagar Chordia, Xiaorui Gan, Peng Sun, Rocky Liu, Bo Long, Wenlin Chen, Santanu Kolay, Huayu Li:
External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation. CoRR abs/2502.17494 (2025) - [i17]Yitao Bai, Sihan Zeng, Justin Romberg, Thinh T. Doan:
Accelerating Multi-Task Temporal Difference Learning under Low-Rank Representation. CoRR abs/2503.02030 (2025) - [i16]Deepeka Garg, Sihan Zeng, Sumitra Ganesh, Leo Ardon:
Generating Structured Plan Representation of Procedures with LLMs. CoRR abs/2504.00029 (2025) - 2024
- [j10]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): 946-976 (2024) - [j9]Sihan Zeng, Sujay Bhatt, Alec Koppel, Sumitra Ganesh:
Regularized Proportional Fairness Mechanism for Resource Allocation Without Money. Trans. Mach. Learn. Res. 2024 (2024) - [c12]Sihan Zeng, Thinh T. Doan:
Fast two-time-scale stochastic gradient method with applications in reinforcement learning. COLT 2024: 5166-5212 - [c11]Sihan Zeng, Youngdae Kim, Yuxuan Ren, Kibaek Kim:
QCQP-Net: Reliably learning feasible alternating current optimal power flow solutions under constraints. L4DC 2024: 1539-1551 - [c10]Sihan Zeng, Sujay Bhatt, Eleonora Kreacic, Parisa Hassanzadeh, Alec Koppel, Sumitra Ganesh:
Learning Payment-Free Resource Allocation Mechanisms. WSC 2024: 2667-2678 - [i15]Sihan Zeng, Youngdae Kim, Yuxuan Ren, Kibaek Kim:
QCQP-Net: Reliably Learning Feasible Alternating Current Optimal Power Flow Solutions Under Constraints. CoRR abs/2401.06820 (2024) - [i14]Sihan Zeng, Thinh T. Doan, Justin Romberg:
Natural Policy Gradient and Actor Critic Methods for Constrained Multi-Task Reinforcement Learning. CoRR abs/2405.02456 (2024) - [i13]Sihan Zeng, Thinh T. Doan:
Fast Two-Time-Scale Stochastic Gradient Method with Applications in Reinforcement Learning. CoRR abs/2405.09660 (2024) - [i12]Sihan Zeng, Sujay Bhatt, Alec Koppel, Sumitra Ganesh:
Partially Observable Contextual Bandits with Linear Payoffs. CoRR abs/2409.11521 (2024) - [i11]Jung Yeon Park, Sujay Bhatt, Sihan Zeng, Lawson L. S. Wong, Alec Koppel, Sumitra Ganesh, Robin Walters:
Approximate Equivariance in Reinforcement Learning. CoRR abs/2411.04225 (2024) - 2023
- [b1]Sihan Zeng:
Designing policy optimization algorithms for multi-agent reinforcement learning. Georgia Institute of Technology, Atlanta, GA, USA, 2023 - [j8]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): 1220-1233 (2023) - [j7]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): 2758-2773 (2023) - [c9]Parisa Hassanzadeh, Eleonora Kreacic, Sihan Zeng, Yuchen Xiao, Sumitra Ganesh:
Sequential Fair Resource Allocation under a Markov Decision Process Framework. ICAIF 2023: 673-680 - [c8]Sihan Zeng, Thinh T. Doan, Justin Romberg:
Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems. NeurIPS 2023 - [i10]Parisa Hassanzadeh, Eleonora Kreacic, Sihan Zeng, Yuchen Xiao, Sumitra Ganesh:
Sequential Fair Resource Allocation under a Markov Decision Process Framework. CoRR abs/2301.03758 (2023) - [i9]Sihan Zeng, Thinh T. Doan, Justin Romberg:
Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems. CoRR abs/2303.12981 (2023) - [i8]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 abs/2311.10927 (2023) - 2022
- [j6]Sihan Zeng, Zhongliang Pan:
An unsupervised font style transfer model based on generative adversarial networks. Multim. Tools Appl. 81(4): 5305-5324 (2022) - [c7]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: 4028-4033 - [c6]Sihan Zeng, Thinh T. Doan, Justin Romberg:
Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games. NeurIPS 2022 - [i7]Sihan Zeng, Thinh T. Doan, Justin Romberg:
Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games. CoRR abs/2205.13746 (2022) - 2021
- [j5]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): 2457-2472 (2021) - [c5]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: 2641-2646 - [c4]Sihan Zeng, Malik Aqeel Anwar, Thinh T. Doan, Arijit Raychowdhury, Justin Romberg:
A decentralized policy gradient approach to multi-task reinforcement learning. UAI 2021: 1002-1012 - [i6]Sihan Zeng, Thinh T. Doan, Justin Romberg:
A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning. CoRR abs/2109.14756 (2021) - [i5]Sihan Zeng, Thinh T. Doan, Justin Romberg:
Finite-Time Complexity of Online Primal-Dual Natural Actor-Critic Algorithm for Constrained Markov Decision Processes. CoRR abs/2110.11383 (2021) - [i4]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 abs/2110.11991 (2021) - 2020
- [j4]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): 20:1-20:27 (2020) - [j3]Huandong Wang, Sihan Zeng, Yong Li, Pengyu Zhang, Depeng Jin:
Human Mobility Prediction Using Sparse Trajectory Data. IEEE Trans. Veh. Technol. 69(9): 10155-10166 (2020) - [i3]Sihan Zeng, Aqeel Anwar, Thinh T. Doan, Justin Romberg, Arijit Raychowdhury:
A Decentralized Policy Gradient Approach to Multi-task Reinforcement Learning. CoRR abs/2006.04338 (2020) - [i2]Sihan Zeng, Thinh T. Doan, Justin Romberg:
Finite-Time Analysis of Decentralized Stochastic Approximation with Applications in Multi-Agent and Multi-Task Learning. CoRR abs/2010.15088 (2020)
2010 – 2019
- 2019
- [j2]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): 27:1-27:23 (2019) - [j1]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. 19-S(2): 31-37 (2019) - [c3]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: 628-633 - [c2]Shaojie Xu, Sihan Zeng, Justin Romberg:
Fast Compressive Sensing Recovery Using Generative Models with Structured Latent Variables. ICASSP 2019: 2967-2971 - [i1]Shaojie Xu, Sihan Zeng, Justin Romberg:
Fast Compressive Sensing Recovery Using Generative Models with Structured Latent Variables. CoRR abs/1902.06913 (2019) - 2017
- [c1]Sihan Zeng, Huandong Wang, Yong Li, Depeng Jin:
Predictability and Prediction of Human Mobility Based on Application-Collected Location Data. MASS 2017: 28-36
Coauthor Index
aka: Justin Romberg
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