165 citations · 384 across the 18 of their papers we have counts for
18 papers
Feasible-Set Reshaping for Constraint Qualification in Optimization-Based Control
Si Wu, Tengfei Liu, Yiguang Hong +2
This paper presents a novel feasible-set reshaping technique to optimization-based control with ensured constraint qualification. In our problem setting, the feasible set of admiss…
Resilient control under denial-of-service and uncertainty: An adaptive dynamic programming approach
Weinan Gao, Zhong-Ping Jiang, Tianyou Chai
In this paper, a new framework for the resilient control of continuous-time linear systems under denial-of-service (DoS) attacks and system uncertainty is presented. Integrating te…
Distributed Event-Triggered Bandit Convex Optimization with Time-Varying Constraints
Kunpeng Zhang, Xinlei Yi, Guanghui Wen +4
This paper considers the distributed bandit convex optimization problem with time-varying inequality constraints over a network of agents, where the goal is to minimize network reg…
Distributed online constrained convex optimization with event-triggered communication
Kunpeng Zhang, Xinlei Yi, Yuzhe Li +3
This paper focuses on the distributed online convex optimization problem with time-varying inequality constraints over a network of agents, where each agent collaborates with its n…
Distributed Online Convex Optimization with Adversarial Constraints: Reduced Cumulative Constraint Violation Bounds under Slater's Condition
Xinlei Yi, Xiuxian Li, Tao Yang +4
This paper considers distributed online convex optimization with adversarial constraints. In this setting, a network of agents makes decisions at each round, and then only a portio…
Data-Driven Inverse Reinforcement Learning for Expert-Learner Zero-Sum Games
Wenqian Xue, Bosen Lian, Jialu Fan +2
In this paper, we formulate inverse reinforcement learning (IRL) as an expert-learner interaction whereby the optimal performance intent of an expert or target agent is unknown to…
Geo-NI: Geometry-aware Neural Interpolation for Light Field Rendering
Gaochang Wu, Yuemei Zhou, Yebin Liu +2
In this paper, we present a Geometry-aware Neural Interpolation (Geo-NI) framework for light field rendering. Previous learning-based approaches either rely on the capability of ne…
Communication Compression for Distributed Nonconvex Optimization
Xinlei Yi, Shengjun Zhang, Tao Yang +2
This paper considers distributed nonconvex optimization with the cost functions being distributed over agents. Noting that information compression is a key tool to reduce the heavy…
Regret and Cumulative Constraint Violation Analysis for Online Convex Optimization with Long Term Constraints
Xinlei Yi, Xiuxian Li, Tao Yang +3
This paper considers online convex optimization with long term constraints, where constraints can be violated in intermediate rounds, but need to be satisfied in the long run. The…
Regret and Cumulative Constraint Violation Analysis for Distributed Online Constrained Convex Optimization
Xinlei Yi, Xiuxian Li, Tao Yang +3
This paper considers the distributed online convex optimization problem with time-varying constraints over a network of agents. This is a sequential decision making problem with tw…
Revisiting Light Field Rendering with Deep Anti-Aliasing Neural Network
Gaochang Wu, Yebin Liu, Lu Fang +1
The light field (LF) reconstruction is mainly confronted with two challenges, large disparity and the non-Lambertian effect. Typical approaches either address the large disparity c…
Light Field Reconstruction Using Convolutional Network on EPI and Extended Applications
Gaochang Wu, Yebin Liu, Lu Fang +2
In this paper, a novel convolutional neural network (CNN)-based framework is developed for light field reconstruction from a sparse set of views. We indicate that the reconstructio…
Spatial-Angular Attention Network for Light Field Reconstruction
Gaochang Wu, Yingqian Wang, Yebin Liu +2
Typical learning-based light field reconstruction methods demand in constructing a large receptive field by deepening the network to capture correspondences between input views. In…
A Primal-Dual SGD Algorithm for Distributed Nonconvex Optimization
Xinlei Yi, Shengjun Zhang, Tao Yang +2
The distributed nonconvex optimization problem of minimizing a global cost function formed by a sum of local cost functions by using local information exchange is considered. T…
Distributed Bandit Online Convex Optimization with Time-Varying Coupled Inequality Constraints
Xinlei Yi, Xiuxian Li, Tao Yang +3
This paper considers the problem of distributed bandit online convex optimization with time-varying coupled inequality constraints. This problem can be defined as a repeated game b…
Linear Convergence of First- and Zeroth-Order Primal-Dual Algorithms for Distributed Nonconvex Optimization
Xinlei Yi, Shengjun Zhang, Tao Yang +2
This paper considers the distributed nonconvex optimization problem of minimizing a global cost function formed by a sum of local cost functions by using local information exchange…
Exponential Convergence for Distributed Smooth Optimization Under the Restricted Secant Inequality Condition
Xinlei Yi, Shengjun Zhang, Tao Yang +2
This paper considers the distributed smooth optimization problem in which the objective is to minimize a global cost function formed by a sum of local smooth cost functions, by usi…
LapEPI-Net: A Laplacian Pyramid EPI structure for Learning-based Dense Light Field Reconstruction
Gaochang Wu, Yebin Liu, Lu Fang +1
For dense sampled light field (LF) reconstruction problem, existing approaches focus on a depth-free framework to achieve non-Lambertian performance. However, they trap in the trad…