activity
20222024
most citedA Survey of Decision Making in Adversarial Games

4 citations · 8 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2024

Large receptive field strategy and important feature extraction strategy in 3D object detection

Leichao Cui, Xiuxian Li, Min Meng +1

The enhancement of 3D object detection is pivotal for precise environmental perception and improved task execution capabilities in autonomous driving. LiDAR point clouds, offering…

math.OC20231 cited

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…

math.OC20233 cited

Dynamic Regret for Online Composite Optimization

Ruijie Hou, Xiuxian Li, Yang Shi

This paper investigates online composite optimization in dynamic environments, where each objective or loss function contains a time-varying nondifferentiable regularizer. To resol…

cs.GT2022

Linear Last-Iterate Convergence for Continuous Games with Coupled Inequality Constraints

Min Meng, Xiuxian Li

In this paper, the generalized Nash equilibrium (GNE) seeking problem for continuous games with coupled affine inequality constraints is investigated in a partial-decision informat…

cs.GT20224 cited

A Survey of Decision Making in Adversarial Games

Xiuxian Li, Min Meng, Yiguang Hong +1

Game theory has by now found numerous applications in various fields, including economics, industry, jurisprudence, and artificial intelligence, where each player only cares about…

math.OC2022

Continuous-Time and Event-Triggered Online Optimization for Linear Multi-Agent Systems

Yang Yu, Xiuxian Li, Li Li +1

This paper studies the decentralized online convex optimization problem for heterogeneous linear multi-agent systems. Agents have access to their time-varying local cost functions…