86 citations · 126 across the 36 of their papers we have counts for
6 papers · 1 filter
Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis
Youcheng Niu, Jinming Xu, Ying Sun +2
This paper consider solving a class of nonconvex-strongly-convex distributed stochastic bilevel optimization (DSBO) problems with personalized inner-level objectives. Most existing…
Robust Fully-Asynchronous Methods for Distributed Training over General Architecture
Zehan Zhu, Ye Tian, Yan Huang +2
Perfect synchronization in distributed machine learning problems is inefficient and even impossible due to the existence of latency, package losses and stragglers. We propose a Rob…
On the Computation-Communication Trade-Off with A Flexible Gradient Tracking Approach
Yan Huang, Jinming Xu
We propose a flexible gradient tracking approach with adjustable computation and communication steps for solving distributed stochastic optimization problem over networks. The prop…
Plug-in Hybrid Electric Vehicle Energy Management with Clutch Engagement Control via Continuous-Discrete Reinforcement Learning
Changfu Gong, Jinming Xu, Yuan Lin
Energy management strategy (EMS) is a key technology for plug-in hybrid electric vehicles (PHEVs). The energy management of certain series-parallel PHEVs involves the control of co…
Mixed-Integer Optimal Control via Reinforcement Learning: A Case Study on Hybrid Electric Vehicle Energy Management
Jinming Xu, Nasser Lashgarian Azad, Yuan Lin
Many optimal control problems require the simultaneous output of discrete and continuous control variables. These problems are usually formulated as mixed-integer optimal control (…
Aggressive Trajectory Generation for A Swarm of Autonomous Racing Drones
Yuyang Shen, Jinming Xu, Jin Zhou +4
Autonomous drone racing is becoming an excellent platform to challenge quadrotors' autonomy techniques including planning, navigation and control technologies. However, most resear…