2 citations · 5 across the 9 of their papers we have counts for
9 papers
Compressed Distributed Stochastic Nonconvex Optimization with Differential Privacy
Antai Xie, Xiaoqiang Ren, Xinlei Yi +2
This paper studies distributed stochastic nonconvex optimization problems with compressed communication and differential privacy, in which each agent aims to minimize the sum of al…
Compressed Momentum-based Single-Point Zeroth-Order Algorithm for Stochastic Distributed Nonconvex Optimization
Linjing Chen, Antai Xie, Xinlei Yi +2
This paper studies a compressed momentum-based single-point zeroth-order algorithm for stochastic distributed nonconvex optimization, aiming to alleviate communication overhead and…
Toward Robust Single-Photon Perception for Robots: A Condition-Aware Active Learning Approach
Zili Zhang, Ziting Wen, Yiheng Qiang +7
LiDAR-based perception plays a fundamental role in modern robotic systems for environment understanding and navigation. Single-photon LiDAR (SPL) extends conventional LiDAR by enab…
A Communication-Efficient Stochastic Gradient Descent Algorithm for Distributed Nonconvex Optimization
Antai Xie, Xinlei Yi, Xiaofan Wang +2
This paper studies distributed nonconvex optimization problems with stochastic gradients for a multi-agent system, in which each agent aims to minimize the sum of all agents' cost…
Structured Deep Neural Network-Based Backstepping Trajectory Tracking Control for Lagrangian Systems
Jiajun Qian, Liang Xu, Xiaoqiang Ren +1
Deep neural networks (DNN) are increasingly being used to learn controllers due to their excellent approximation capabilities. However, their black-box nature poses significant cha…
Differentially Private and Communication-Efficient Distributed Nonconvex Optimization Algorithms
Antai Xie, Xinlei Yi, Xiaofan Wang +2
This paper studies the privacy-preserving distributed optimization problem under limited communication, where each agent aims to keep its cost function private while minimizing the…
Compressed Differentially Private Distributed Optimization with Linear Convergence
Antai Xie, Xinlei Yi, Xiaofan Wang +2
This paper addresses the problem of differentially private distributed optimization under limited communication, where each agent aims to keep their cost function private while min…
Autonomous Highway Merging in Mixed Traffic Using Reinforcement Learning and Motion Predictive Safety Controller
Qianqian Liu, Fengying Dang, Xiaofan Wang +1
Deep reinforcement learning (DRL) has a great potential for solving complex decision-making problems in autonomous driving, especially in mixed-traffic scenarios where autonomous v…
Fast-Learning Grasping and Pre-Grasping via Clutter Quantization and Q-map Masking
Dafa Ren, Xiaoqiang Ren, Xiaofan Wang +2
Grasping objects in cluttered scenarios is a challenging task in robotics. Performing pre-grasp actions such as pushing and shifting to scatter objects is a way to reduce clutter.…