output
20142025
most citedWind Power Forecasting Considering Data Privacy Protection: A Federated Deep Reinforcement Learning Approach

252 citations

22 papers

physics.ao-ph2025

Efficient and High-Accuracy Ray Tracing in Discretized Ionospheric Models

Qinglin Li, Wen Liu, Zhigang Zhang +4

High-frequency (HF) ray tracing in complex ionospheric media generally involves a fundamental trade-off between path accuracy and computational efficiency, which directly affects p…

cond-mat.quant-gas2025★ 1 cited

Reply to the Comment on "Shell-Shaped Quantum Droplet in a Three-Component Ultracold Bose Gas"

Yinfeng Ma, Xiaoling Cui

In our Letter (Phys. Rev. Lett. 134, 043402 (2025)), we proposed a self-bound shell-shaped BEC in a three-component () Bose gas, where and droplets are linke…

cond-mat.str-el2024★ 3 cited

Pairing correlation of the Kagome-lattice Hubbard model with the nearest-neighbor interaction

Chen Yang, Chao Chen, Runyu Ma +2

A recently discovered family of Kagome lattice materials, (= ), has attracted great interest, especially in the d…

cond-mat.str-el2024★ 2 cited

Competition between -wave and +-wave superconductivity in the Hubbard model on a checkerboard lattice

Yue Pan, Runyu Ma, Chao Chen +2

By employing determinant quantum Monte Carlo simulations, we investigate a checkerboard lattice with next-nearest-neighbor hopping as the frustration-control parameter, which…

eess.SP2024★ 17 cited

Large-Language-Model Enabled Semantic Communication Systems

Zhenyi Wang, Li Zou, Shengyun Wei +4

Large language models (LLMs) have recently demonstrated state-of-the-art performance across various natural language processing (NLP) tasks, achieving near-human levels in multiple…

cond-mat.quant-gas2023★ 17 cited

Shell-Shaped Quantum Droplet in a Three-Component Ultracold Bose Gas

Yinfeng Ma, Xiaoling Cui

Shell-shaped Bose-Einstein condensate (BEC) is a typical quantum system in curved geometry. Here we propose a new type of shell-shaped BEC with self-bound character, thereby libera…

stat.AP2023★ 107 cited

Detector Design and Performance Analysis for Target Detection in Subspace Interference

Weijian Liu, Jun Liu, Tao Liu +2

It is often difficult to obtain sufficient training data for adaptive signal detection, which is required to calculate the unknown noise covariance matrix. Additionally, interferen…

cond-mat.str-el2023★ 7 cited

Charge Stripe Manipulation of Superconducting Pairing Symmetry Transition

Chao Chen, Peigeng Zhong, Xuelei Sui +6

Charge stripes have been widely observed in many different types of unconventional superconductors, holding varying periods () and intensities. However, a general unde…

cs.LG2022★ 252 cited

Wind Power Forecasting Considering Data Privacy Protection: A Federated Deep Reinforcement Learning Approach

Yang Li, Ruinong Wang, Yuanzheng Li +2

In a modern power system with an increasing proportion of renewable energy, wind power prediction is crucial to the arrangement of power grid dispatching plans due to the volatilit…

cs.NI2022★ 2 cited

Network Traffic Anomaly Detection Method Based on Multi scale Residual Feature

Xueyuan Duan, Yu Fu, Kun Wang

To address the problem that traditional network traffic anomaly detection algorithms do not suffi-ciently mine potential features in long time domain, an anomaly detection method b…

cs.CL2022★ 86 cited

BiSyn-GAT+: Bi-Syntax Aware Graph Attention Network for Aspect-based Sentiment Analysis

Shuo Liang, Wei Wei, Xian-Ling Mao +2

Aspect-based sentiment analysis (ABSA) is a fine-grained sentiment analysis task that aims to align aspects and corresponding sentiments for aspect-specific sentiment polarity infe…

eess.SY2021★ 10 cited

A review of data-driven short-term voltage stability assessment of power systems: Concept, principle, and challenges

Jiting Cao, Meng Zhang, Yang Li

With the rapid growth of power market reform and power demand, the power transmission capacity of a power grid is approaching its limit, and the secure and stable operation of powe…

cs.LG2021★ 177 cited

A Deep-Learning Intelligent System Incorporating Data Augmentation for Short-Term Voltage Stability Assessment of Power Systems

Yang Li, Meng Zhang, Chen Chen

Facing the difficulty of expensive and trivial data collection and annotation, how to make a deep learning-based short-term voltage stability assessment (STVSA) model work well on…

cs.RO2021★ 7 cited

MEKF Ignoring Initial Conditions for Attitude Estimation Using Vector Observations

Lubin Chang

In this paper, the well-known multiplicative extended Kalman filter (MEKF) is re-investigated for attitude estimation using vector observations. From the Lie group theory, it is sh…

hep-ex2021★ 3 cited

Prospects for chargino pair production at CEPC

Jia-Rong Yuan, Hua-Jie Cheng, Xu-Ai Zhuang

The proposed Circular Electron Positron Collider (CEPC), with a center-of-mass energy GeV, will primarily serve as a Higgs factory. At the same time, it can offer…

cs.RO2021★ 3 cited

Inertial based Integration with Transformed INS Mechanization in Earth Frame

Lubin Chang, Jingbo Di, Fangjun Qin

This paper proposes to use a newly-derived transformed inertial navigation system (INS) mechanization to fuse INS with other complementary navigation systems. Through formulating t…

cs.RO2021★ 68 cited

Strapdown Inertial Navigation System Initial Alignment based on Group of Double Direct Spatial Isometries

Lubin Chang, Fangjun Qin, Jiangning Xu

The task of strapdown inertial navigation system (SINS) initial alignment is to calculate the attitude transformation matrix from body frame to navigation frame. In this paper, suc…

cs.CV2021

Metaknowledge Extraction Based on Multi-Modal Documents

Shukan Liu, Ruilin Xu, Boying Geng +3

The triple-based knowledge in large-scale knowledge bases is most likely lacking in structural logic and problematic of conducting knowledge hierarchy. In this paper, we introduce…

physics.ins-det2020★ 3 cited

Iterative Retina for high track multiplicity in a barrel-shape tracker and high magnetic field

W. Deng, Z. Song, G. Huang +3

Real-time track tracking in high energy physics experiments at colliders running at high luminosity is very challenging for trigger systems. To perform pattern-recognition and trac…

cs.CV2015

Representing data by sparse combination of contextual data points for classification

Jingyan Wang, Yihua Zhou, Ming Yin +2

In this paper, we study the problem of using contextual da- ta points of a data point for its classification problem. We propose to represent a data point as the sparse linear reco…

eess.SY2015★ 3 cited

On Kalman-Like Finite Impulse Response Filters

Lubin Chang

This note reveals an explicit relationship between two representative finite impulse response (FIR) filters, i.e. the newly derived and popularized Kalman-Like unbiased FIR filter…

cs.RO2014★ 105 cited

Optimization-based Alignment for Strapdown Inertial Navigation System Comparison and Extension

Lubin Chang, Jingshu Li, Kailong Li

In this paper, the optimization-based alignment (OBA) methods are investigated with main focus on the vector observations construction procedures for the strapdown inertial navigat…