Sihan Zeng - RankMe

55 papers A* 3A 4B 1Misc 3Journal 37Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Regularized Actor-Critic Algorithm for Bi-Level Reinforcement Learning. CoRR Sihan Zeng, Sujay Bhatt, Sumitra Ganesh, Alec Koppel
2026	—	`conf`	Meta Lattice: Model Space Redesign for Cost-Effective Industry-Scale Ads Recommendations. KDD (1) Liang Luo, Yuxin Chen, Zhengyu Zhang, Mengyue Hang, Andrew Gu, Buyun Zhang, Boyang Liu, Chen Chen, Fan Yang, Feifan Gu, Huayu Li, Jade Nie, Jiayi Xu, Jiyan Yang, Jongsoo Park, Laming Chen, Longhao Jin, Qin Huang, Shali Jiang, Shiwen Shen, Shuaiwen Wang, Siyang Yuan, Tongyi Tang, Weilin Zhang, Xi Liu, Xiaohan Wei, Yuchen Hao, Xiaozhen Xia, Yasmine Badr, ZeLiang Chen, Chengze Fan, Dong Liang, Qianru Li, Sihan Zeng, Wenjun Wang, Yunlong He, Yinbin Ma, Maxim Naumov, Yantao Yao, Wenlin Chen, Ellie Dingqiao Wen
2025	A	`conf`	ADAGE: A Generic Two-layer Framework for Adaptive Agent based Modelling. AAMAS Benjamin Patrick Evans, Sihan Zeng, Sumitra Ganesh, Leo Ardon
2025	J	`jnl`	ADAGE: A generic two-layer framework for adaptive agent based modelling. CoRR Benjamin Patrick Evans, Sihan Zeng, Sumitra Ganesh, Leo Ardon
2025	J	`jnl`	Accelerating Multi-Task Temporal Difference Learning under Low-Rank Representation. CoRR Yitao Bai, Sihan Zeng, Justin Romberg, Thinh T. Doan
2025	A	`conf`	Approximate Equivariance in Reinforcement Learning. AISTATS Jung Yeon Park, Sujay Bhatt, Sihan Zeng, Lawson L. S. Wong, Alec Koppel, Sumitra Ganesh, Robin Walters
2025	J	`jnl`	External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation. CoRR 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
2025	J	`jnl`	Generating Structured Plan Representation of Procedures with LLMs. CoRR Deepeka Garg, Sihan Zeng, Sumitra Ganesh, Leo Ardon
2025	A	`conf`	Learning in Herding Mean Field Games: Single-Loop Algorithm with Finite-Time Convergence Analysis. AISTATS Sihan Zeng, Sujay Bhatt, Alec Koppel, Sumitra Ganesh
2025	J	`jnl`	Learning in Stackelberg Mean Field Games: A Non-Asymptotic Analysis. CoRR Sihan Zeng, Benjamin Patrick Evans, Sujay Bhatt, Leo Ardon, Sumitra Ganesh, Alec Koppel
2025	J	`jnl`	Meta Lattice: Model Space Redesign for Cost-Effective Industry-Scale Ads Recommendations. CoRR Liang Luo, Yuxin Chen, Zhengyu Zhang, Mengyue Hang, Andrew Gu, Buyun Zhang, Boyang Liu, Chen Chen, Chengze Fan, Dong Liang, Fan Yang, Feifan Gu, Huayu Li, Jade Nie, Jiayi Xu, Jiyan Yang, Jongsoo Park, Laming Chen, Longhao Jin, Qianru Li, Qin Huang, Shali Jiang, Shiwen Shen, Shuaiwen Wang, Sihan Zeng, Siyang Yuan, Tongyi Tang, Weilin Zhang, Wenjun Wang, Xi Liu, Xiaohan Wei, Xiaozhen Xia, Yuchen Hao, Yunlong He, Yasmine Badr, ZeLiang Chen, Maxim Naumov, Yantao Yao, Wenlin Chen, Santanu Kolay, GP Musumeci, Ellie Dingqiao Wen
2025	J	`jnl`	Nonasymptotic CLT and Error Bounds for Two-Time-Scale Stochastic Approximation. CoRR Seo Taek Kong, Sihan Zeng, Thinh T. Doan, R. Srikant
2025	J	`jnl`	Optimization of DPoS consensus mechanism based on reputation value in UAV-assisted MEC. Wirel. Networks Sihan Zeng, Haibo Zeng, Peng Zhang, Yaojuan Wu, Kaijun Yang, Chunguang Yang, Wu Zhu, Chunlin Li, Qingren Jia
2025	J	`jnl`	PADME: Procedure Aware DynaMic Execution. CoRR Deepeka Garg, Sihan Zeng, Annapoorani Lakshmi Narayanan, Sumitra Ganesh, Leo Ardon
2025	Misc	`conf`	Partially Observable Contextual Bandits With Linear Payoffs. ICASSP Sihan Zeng, Sujay Bhatt, Alec Koppel, Sumitra Ganesh
2025	J	`jnl`	Regularized Proportional Fairness Mechanism for Resource Allocation Without Money. CoRR Sihan Zeng, Sujay Bhatt, Alec Koppel, Sumitra Ganesh
2025	J	`jnl`	Stackelberg Game-Based Task Offloading for Joint Service Caching and Resource Allocation Optimization in UAV-Assisted VEC. ACM Trans. Internet Things Chunlin Li, Long Yu, Sihan Zeng, Yong Zhang, Kun Jiang, Shaohua Wan
2024	J	`jnl`	A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning. SIAM J. Optim. Sihan Zeng, Thinh T. Doan, Justin Romberg
2024	J	`jnl`	Approximate Equivariance in Reinforcement Learning. CoRR Jung Yeon Park, Sujay Bhatt, Sihan Zeng, Lawson L. S. Wong, Alec Koppel, Sumitra Ganesh, Robin Walters
2024	J	`jnl`	Fast Two-Time-Scale Stochastic Gradient Method with Applications in Reinforcement Learning. CoRR Sihan Zeng, Thinh T. Doan
2024	A*	`conf`	Fast two-time-scale stochastic gradient method with applications in reinforcement learning. COLT Sihan Zeng, Thinh T. Doan
2024	Misc	`conf`	Learning Payment-Free Resource Allocation Mechanisms. WSC Sihan Zeng, Sujay Bhatt, Eleonora Kreacic, Parisa Hassanzadeh, Alec Koppel, Sumitra Ganesh
2024	J	`jnl`	Natural Policy Gradient and Actor Critic Methods for Constrained Multi-Task Reinforcement Learning. CoRR Sihan Zeng, Thinh T. Doan, Justin Romberg
2024	J	`jnl`	Partially Observable Contextual Bandits with Linear Payoffs. CoRR Sihan Zeng, Sujay Bhatt, Alec Koppel, Sumitra Ganesh
2024	J	`jnl`	QCQP-Net: Reliably Learning Feasible Alternating Current Optimal Power Flow Solutions Under Constraints. CoRR Sihan Zeng, Youngdae Kim, Yuxuan Ren, Kibaek Kim
2024	—	`conf`	QCQP-Net: Reliably learning feasible alternating current optimal power flow solutions under constraints. L4DC Sihan Zeng, Youngdae Kim, Yuxuan Ren, Kibaek Kim
2024	J	`jnl`	Regularized Proportional Fairness Mechanism for Resource Allocation Without Money. Trans. Mach. Learn. Res. Sihan Zeng, Sujay Bhatt, Alec Koppel, Sumitra Ganesh
2023	A*	`conf`	Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems. NeurIPS Sihan Zeng, Thinh T. Doan, Justin Romberg
2023	J	`jnl`	Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems. CoRR Sihan Zeng, Thinh T. Doan, Justin Romberg
2023	—	`—`	Designing policy optimization algorithms for multi-agent reinforcement learning. Sihan Zeng
2023	J	`jnl`	Finite-Time Convergence Rates of Decentralized Stochastic Approximation With Applications in Multi-Agent and Multi-Task Learning. IEEE Trans. Autom. Control. Sihan Zeng, Thinh T. Doan, Justin Romberg
2023	J	`jnl`	InkGAN: Generative Adversarial Networks for Ink-And-Wash Style Transfer of Photographs. Adv. Artif. Intell. Mach. Learn. Keyi Yu, Yu Wang, Sihan Zeng, Chen Liang, Xiaoyu Bai, Dachi Chen, Wenping Wang
2023	J	`jnl`	Near-Optimal Fair Resource Allocation for Strategic Agents without Money: A Data-Driven Approach. CoRR Sihan Zeng, Sujay Bhatt, Eleonora Kreacic, Parisa Hassanzadeh, Alec Koppel, Sumitra Ganesh
2023	—	`conf`	Sequential Fair Resource Allocation under a Markov Decision Process Framework. ICAIF Parisa Hassanzadeh, Eleonora Kreacic, Sihan Zeng, Yuchen Xiao, Sumitra Ganesh
2023	J	`jnl`	Sequential Fair Resource Allocation under a Markov Decision Process Framework. CoRR Parisa Hassanzadeh, Eleonora Kreacic, Sihan Zeng, Yuchen Xiao, Sumitra Ganesh
2022	J	`jnl`	An unsupervised font style transfer model based on generative adversarial networks. Multim. Tools Appl. Sihan Zeng, Zhongliang Pan
2022	—	`conf`	Finite-Time Complexity of Online Primal-Dual Natural Actor-Critic Algorithm for Constrained Markov Decision Processes. CDC Sihan Zeng, Thinh T. Doan, Justin Romberg
2022	A*	`conf`	Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games. NeurIPS Sihan Zeng, Thinh T. Doan, Justin Romberg
2022	J	`jnl`	Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games. CoRR Sihan Zeng, Thinh T. Doan, Justin Romberg
2021	J	`jnl`	A Reinforcement Learning Approach to Parameter Selection for Distributed Optimization in Power Systems. CoRR Sihan Zeng, Alyssa Kody, Youngdae Kim, Kibaek Kim, Daniel K. Molzahn
2021	J	`jnl`	A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning. CoRR Sihan Zeng, Thinh T. Doan, Justin Romberg
2021	A	`conf`	A decentralized policy gradient approach to multi-task reinforcement learning. UAI Sihan Zeng, Malik Aqeel Anwar, Thinh T. Doan, Arijit Raychowdhury, Justin Romberg
2021	—	`conf`	Finite-Time Analysis of Decentralized Stochastic Approximation with Applications in Multi-Agent and Multi-Task Learning. CDC Sihan Zeng, Thinh T. Doan, Justin Romberg
2021	J	`jnl`	Finite-Time Complexity of Online Primal-Dual Natural Actor-Critic Algorithm for Constrained Markov Decision Processes. CoRR Sihan Zeng, Thinh T. Doan, Justin Romberg
2021	J	`jnl`	Predictability and Prediction of Human Mobility Based on Application-Collected Location Data. IEEE Trans. Mob. Comput. Huandong Wang, Sihan Zeng, Yong Li, Depeng Jin
2020	J	`jnl`	A Decentralized Policy Gradient Approach to Multi-task Reinforcement Learning. CoRR Sihan Zeng, Aqeel Anwar, Thinh T. Doan, Justin Romberg, Arijit Raychowdhury
2020	J	`jnl`	Finite-Time Analysis of Decentralized Stochastic Approximation with Applications in Multi-Agent and Multi-Task Learning. CoRR Sihan Zeng, Thinh T. Doan, Justin Romberg
2020	J	`jnl`	H-DrunkWalk: Collaborative and Adaptive Navigation for Heterogeneous MAV Swarm. ACM Trans. Sens. Networks Xinlei Chen, Carlos Ruiz Dominguez, Sihan Zeng, Liyao Gao, Aveek Purohit, Stefano Carpin, Pei Zhang
2020	J	`jnl`	Human Mobility Prediction Using Sparse Trajectory Data. IEEE Trans. Veh. Technol. Huandong Wang, Sihan Zeng, Yong Li, Pengyu Zhang, Depeng Jin
2019	J	`jnl`	An approach for medical event detection in Chinese clinical notes of electronic health records. BMC Medical Informatics Decis. Mak. Xuesi Zhou, Haoqi Xiong, Sihan Zeng, Xiangling Fu, Ji Wu
2019	Misc	`conf`	Fast Compressive Sensing Recovery Using Generative Models with Structured Latent Variables. ICASSP Shaojie Xu, Sihan Zeng, Justin Romberg
2019	J	`jnl`	Fast Compressive Sensing Recovery Using Generative Models with Structured Latent Variables. CoRR Shaojie Xu, Sihan Zeng, Justin Romberg
2019	J	`jnl`	Modeling Spatio-Temporal App Usage for a Large User Population. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Huandong Wang, Yong Li, Sihan Zeng, Gang Wang, Pengyu Zhang, Pan Hui, Depeng Jin
2019	—	`conf`	Toward A High-Performance Emulation Platformfor Brain-Inspired Intelligent SystemsExploring Dataflow-Based Execution Model and Beyond. COMPSAC (2) Sihan Zeng, Jose Manuel Monsalve Diaz, Siddhisanket Raskar
2017	B	`conf`	Predictability and Prediction of Human Mobility Based on Application-Collected Location Data. MASS Sihan Zeng, Huandong Wang, Yong Li, Depeng Jin