Publications (28)
Measuring a Low-Earth-Orbit Satellite Network
Jianping Pan, Jinwei Zhao, Lin Cai
Starlink and alike have attracted a lot of attention recently, however, the inner working of these low-earth-orbit (LEO) satellite networks is still largely unknown. This paper pre…
Progress of the TianQin project
Jun Luo, Shaojun Bai, Yan-Zheng Bai +97
TianQin is a future space-based gravitational wave observatory targeting the frequency window of Hz Hz. A large variety of gravitational wave sources are expecte…
Scalable Air-to-Ground Wireless Channel Modeling Using Environmental Context and Generative Diffusion
Jingyi Tian, Lin Cai
The fast motion of Low Earth Orbit (LEO) satellites causes the propagation channel to vary rapidly, and its behavior is strongly shaped by the surrounding environment, especially a…
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…
Error analysis for satellite gravity field determination based on two-dimensional Fourier methods
Lin Cai, Zebing Zhou, Houtse Hsu +3
The time-wise and space-wise approaches are generally applied to data processing and error analysis for satellite gravimetry missions. But both the approaches, which are based on l…
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…
3D Face From X: Learning Face Shape from Diverse Sources
Yudong Guo, Lin Cai, Juyong Zhang
We present a novel method to jointly learn a 3D face parametric model and 3D face reconstruction from diverse sources. Previous methods usually learn 3D face modeling from one kind…
Performance Analysis of Uplink/Downlink Decoupled Access in Cellular-V2X Networks
Luofang Jiao, Kai Yu, Jiacheng Chen +3
This paper firstly develops an analytical framework to investigate the performance of uplink (UL) / downlink (DL) decoupled access in cellular vehicle-to-everything (C-V2X) network…
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…
Effect of Earth-Moon's gravity on TianQin's range acceleration noise
Xuefeng Zhang, Chengjian Luo, Lei Jiao +6
TianQin is a proposed space gravitational-wave detection mission using circular high Earth orbits. The geocentric concept has raised questions about the disturbing effect of the ne…
The First Round Result from the TianQin-1 Satellite
Jun Luo, Yan-Zheng Bai, Lin Cai +55
The TianQin-1 satellite (TQ-1), which is the first technology demonstration satellite for the TianQin project, was launched on 20 December 2019. The first round of experiment had b…
Beyond Powers of Two: Hexagonal Modulation and Non-Binary Coding for Wireless Communication Systems
Zhe Yang, Lin Cai, Aaron Gulliver +2
Adaptive modulation and coding (AMC) is widely employed in modern wireless communication systems to improve the transmission efficiency by adjusting the transmission rate according…
An analytical method for error analysis of GRACE-like missions based on spectral analysis
Lin Cai, Zebing Zhou, Qiong Li +2
The aim of this paper is to present an analytical relationship between the power spectral density of GRACE-like mission measurements and the accuracies of the gravity field coeffic…
Robust and Efficient Deep Hedging via Linearized Objective Neural Network
Lei Zhao, Lin Cai
Deep hedging represents a cutting-edge approach to risk management for financial derivatives by leveraging the power of deep learning. However, existing methods often face challeng…
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,…
A Geometrical-Based Throughput Bound Analysis for Device-to-Device Communications in Cellular Networks
Minming Ni, Lei Zheng, Fei Tong +2
Device-to-device (D2D) communications in cellular networks are promising technologies for improving network throughput, spectrum efficiency, and transmission delay. In this paper,…
Autonomous Vehicular Networks: Perspective and Open Issues
Tom H. Luan, Yao Zhang, Lin Cai +3
The vehicular ad hoc networks (VANETs) have been researched for over twenty years. Although being a fundamental communication approach for vehicles, the conventional VANETs are cha…
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…
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…
FLAD: Federated Learning for LLM-based Autonomous Driving in Vehicle-Edge-Cloud Networks
Tianao Xiang, Mingjian Zhi, Yuanguo Bi +2
Large Language Models (LLMs) have impressive data fusion and reasoning capabilities for autonomous driving (AD). However, training LLMs for AD faces significant challenges includin…
Combined machine learning for stock selection strategy based on dynamic weighting methods
Lin Cai, Zhiyang He, Caiya Zhang
This paper proposes a novel stock selection strategy framework based on combined machine learning algorithms. Two types of weighting methods for three representative machine learni…
Adaptive Nesterov Accelerated Distributional Deep Hedging for Efficient Volatility Risk Management
Lei Zhao, Lin Cai, Wu-Sheng Lu
In the field of financial derivatives trading, managing volatility risk is crucial for protecting investment portfolios from market changes. Traditional Vega hedging strategies, wh…
For Intelligent and Higher Spectrum Efficiency: A Variable Packing Ratio Transmission System Based on Faster-than-Nyquist and Deep Learning
Peiyang Song, Nan Zhang, Lin Cai +2
With the rapid development of various services in wireless communications, spectrum resource has become increasingly valuable. Faster than Nyquist (FTN) signaling, proposed in the…
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…
PhyCode: A Practical Wireless Communication System Exploiting Superimposed Signals
Wen Cui, Chen Liu, Lin Cai +1
Superimposed signals are anticipated to improve wireless spectrum efficiency to support the ever-growing IoT applications. Implementing the superimposed signal demands on ideally a…
Robust Federated Learning with Global Sensitivity Estimation for Financial Risk Management
Lei Zhao, Lin Cai, Wu-Sheng Lu
In decentralized financial systems, robust and efficient Federated Learning (FL) is promising to handle diverse client environments and ensure resilience to systemic risks. We prop…
The TianQin project: current progress on science and technology
Jianwei Mei, Yan-Zheng Bai, Jiahui Bao +103
TianQin is a planned space-based gravitational wave (GW) observatory consisting of three earth orbiting satellites with an orbital radius of about . The satellites w…
3D Magic Mirror: Automatic Video to 3D Caricature Translation
Yudong Guo, Luo Jiang, Lin Cai +1
Caricature is an abstraction of a real person which distorts or exaggerates certain features, but still retains a likeness. While most existing works focus on 3D caricature reconst…