activity
20162022
most citedEfficient Metropolitan Traffic Prediction Based on Graph Recurrent Neural Network

38 citations · 118 across the 16 of their papers we have counts for

collaborators

16 papers

eess.SY2022★ 1 cited

I Can Read Your Mind: Control Mechanism Secrecy of Networked Dynamical Systems under Inference Attacks

Jianping He, Yushan Li, Lin Cai +1

Recent years have witnessed the fast advance of security research for networked dynamical system (NDS). Considering the latest inference attacks that enable stealthy and precise at…

eess.SY2022

Local Topology Inference of Mobile Robotic Networks under Formation Control

Yushan Li, Jianping He, Lin Cai +1

The interaction topology is critical for efficient cooperation of mobile robotic networks (MRNs). We focus on the local topology inference problem of MRNs under formation control,…

eess.SY2022★ 2 cited

Resilient Average Consensus: A Detection and Compensation Approach

Wenzhe Zheng, Zhiyu He, Jianping He +2

We study the problem of resilient average consensus for multi-agent systems with misbehaving nodes. To protect consensus valuefrom being influenced by misbehaving nodes, we address…

math.DS2022

Submodularity-based False Data Injection Attack Scheme in Multi-agent Dynamical Systems

Xiaoyu Luo, Chengcheng Zhao, Chongrong Fang +1

Consensus in multi-agent dynamical systems is prone to be sabotaged by the adversary, which has attracted much attention due to its key role in broad applications. In this paper, w…

math.OC2022★ 34 cited

Model-Free Nonlinear Feedback Optimization

Zhiyu He, Saverio Bolognani, Jianping He +2

Feedback optimization is a control paradigm that enables physical systems to autonomously reach efficient operating points. Its central idea is to interconnect optimization iterati…

eess.SY2021

Sneak Attack against Mobile Robotic Networks under Formation Control

Yushan Li, Jianping He, Xuda Ding +2

The security of mobile robotic networks (MRNs) has been an active research topic in recent years. This paper demonstrates that the observable interaction process of MRNs under form…

cs.RO2021★ 8 cited

Speed Planning Using Bezier Polynomials with Trapezoidal Corridors

Jialun Li, Xiaojia Xie, Hengbo Ma +2

To generate safe and real-time trajectories for an autonomous vehicle in dynamic environments, path and speed decoupled planning methods are often considered. This paper studies sp…

cs.RO2021★ 4 cited

Robopheus: A Virtual-Physical Interactive Mobile Robotic Testbed

Xuda Ding, Han Wang, Hongbo Li +2

The mobile robotic testbed is an essential and critical support to verify the effectiveness of mobile robotics research. This paper introduces a novel multi-robot testbed, named Ro…

math.OC2021★ 4 cited

Private and Robust Distributed Nonconvex Optimization via Polynomial Approximation

Zhiyu He, Jianping He, Cailian Chen +1

There has been work that exploits polynomial approximation to solve distributed nonconvex optimization problems involving univariate objectives. This idea facilitates arbitrarily p…

eess.SY2020★ 1 cited

Topology Inference for Network Systems with Unknown Inputs

Qing Jiao, Yushan Li, Jianping He

Topology inference is a powerful tool to better understand the behaviours of network systems (NSs). Different from most of prior works, this paper is dedicated to inferring the dir…

math.OC2020★ 4 cited

Distributed Nonconvex Optimization: Gradient-free Iterations and -Globally Optimal Solution

Zhiyu He, Jianping He, Cailian Chen +1

Distributed optimization utilizes local computation and communication to realize a global aim of optimizing the sum of local objective functions. This article addresses a class of…

cs.AI2018★ 38 cited

Efficient Metropolitan Traffic Prediction Based on Graph Recurrent Neural Network

Xiaoyu Wang, Cailian Chen, Yang Min +3

Traffic prediction is a fundamental and vital task in Intelligence Transportation System (ITS), but it is very challenging to get high accuracy while containing low computational c…

cs.IT2017

Preserving Data-Privacy with Added Noises: Optimal Estimation and Privacy Analysis

Jianping He, Lin Cai, Xinping Guan

Networked system often relies on distributed algorithms to achieve a global computation goal with iterative local information exchanges between neighbor nodes. To preserve data pri…

cs.IT2016★ 4 cited

Differential Private Noise Adding Mechanism and Its Application on Consensus

Jianping He, Lin Cai

Differential privacy is a formal mathematical {stand-ard} for quantifying the degree of that individual privacy in a statistical database is preserved. To guarantee differential pr…

eess.SY2016★ 7 cited

Consensus-based Privacy-preserving Data Aggregation

Jianping He, Lin Cai, Peng Cheng +2

Privacy-preserving data aggregation in ad hoc networks is a challenging problem, considering the distributed communication and control requirement, dynamic network topology, unreli…

eess.SY2016★ 11 cited

Privacy-preserving Average Consensus: Privacy Analysis and Optimal Algorithm Design

Jianping He, Lin Cai, Chengcheng Zhao +2

Privacy-preserving average consensus aims to guarantee the privacy of initial states and asymptotic consensus on the exact average of the initial value. In existing work, it is ach…