Yang Weng

Orcid: 0000-0003-0209-5595

According to our database1, Yang Weng authored at least 101 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Autonomous underwater vehicle link alignment control in unknown environments using reinforcement learning.
J. Field Robotics, September, 2024

Collaborative Solution of Distance Protection and Dual Current Control for Outgoing Lines of Inverter-Based Resources During Line-to-Line Faults.
IEEE Trans. Smart Grid, July, 2024

A Novel Piecewise Cubic Hermite Interpolating Polynomial-Enhanced Convolutional Gated Recurrent Method under Multiple Sensor Feature Fusion for Tool Wear Prediction.
Sensors, February, 2024

One-Way-Signal-Based Localization Method of Multiple Autonomous Underwater Vehicles for Distributed Ocean Surveys.
J. Robotics Mechatronics, February, 2024

Distribution Grid Topology and Parameter Estimation Using Deep-Shallow Neural Network With Physical Consistency.
IEEE Trans. Smart Grid, January, 2024

DipDNN: Preserving Inverse Consistency and Approximation Efficiency for Invertible Learning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
Alternative Auto-Encoder for State Estimation in Distribution Systems With Unobservability.
IEEE Trans. Smart Grid, May, 2023

High-Frequency Fault Analysis-Based Pilot Protection Scheme for a Distribution Network With High Photovoltaic Penetration.
IEEE Trans. Smart Grid, 2023

Spatial-Temporal Deep Learning for Hosting Capacity Analysis in Distribution Grids.
IEEE Trans. Smart Grid, 2023

Evaluate DC Meter Adoption for House-Level Storage Devices.
IEEE Trans. Smart Grid, 2023

Attack Power System State Estimation by Implicitly Learning the Underlying Models.
IEEE Trans. Smart Grid, 2023

Distribution Grid Line Outage Identification with Unknown Pattern and Performance Guarantee.
CoRR, 2023

Continuous Variational Quantum Algorithms for Time Series.
Proceedings of the International Joint Conference on Neural Networks, 2023

PIX-GAN: Enhance Physics-Informed Estimation via Generative Adversarial Network.
Proceedings of the IEEE International Conference on Data Mining, 2023

Exploring the Causal Relationship Between Forgiveness and Sentencing Outcomes in Dangerous Driving Cases.
Proceedings of the Computer Science and Education. Computer Science and Technology, 2023

2022
Revealing a New Vulnerability of Distributed State Estimation: A Data Integrity Attack and an Unsupervised Detection Algorithm.
IEEE Trans. Control. Netw. Syst., 2022

Lesion region segmentation via weakly supervised learning.
Quant. Biol., 2022

Digital twins of nonlinear dynamical systems.
CoRR, 2022

Explainable Graph Theory-Based Identification of Meter-Transformer Mapping.
CoRR, 2022

Local Measurement Based Robust Voltage Stability Index & Identification of Voltage Collapse Onset.
CoRR, 2022

Cyber-Physical Attack Conduction and Detection in Decentralized Power Systems.
IEEE Access, 2022

Physically Invertible System Identification for Monitoring System Edges with Unobservability.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

CoNSoLe: Convex Neural Symbolic Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Intrinsic-Motivated Sensor Management: Exploring with Physical Surprise.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Domain Adaptation in Physical Systems via Graph Kernel.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Topic Term Clustering Based on Semi-supervised Co-occurrence Graph and Its Application in Chinese Judgement Documents.
Proceedings of the Computer Science and Education - 17th International Conference, 2022

Deep Neural Networks with Cross-Charge Features.
Proceedings of the Computer Science and Education - 17th International Conference, 2022

Research on Hierarchical Teaching Using Propensity Score Weighting-Based Causal Inference Model.
Proceedings of the Computer Science and Education - 17th International Conference, 2022

Auto-Physics-Encoder: Using Physics-Informed Latent Layer Two-Way Physics Flow for Monitoring Systems with Unobservability.
Proceedings of the Asian Conference on Machine Learning, 2022

2021
Association Rule Mining for Localizing Solar Power in Different Distribution Grid Feeders.
IEEE Trans. Smart Grid, 2021

Enhance load forecastability: Optimize data sampling policy by reinforcing user behaviors.
Eur. J. Oper. Res., 2021

Curriculum Based Reinforcement Learning of Grid Topology Controllers to Prevent Thermal Cascading.
CoRR, 2021

The Powerful Use of AI in the Energy Sector: Intelligent Forecasting.
CoRR, 2021

Quick Line Outage Identification in Urban Distribution Grids via Smart Meters.
CoRR, 2021

Islanding Detection for Inverter-Based Distributed Generation Using Unsupervised Anomaly Detection.
IEEE Access, 2021

Physical Equation Discovery Using Physics-Consistent Neural Network (PCNN) Under Incomplete Observability.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Improving Relation Extraction by Knowledge Representation Learning.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Physics Interpretable Shallow-Deep Neural Networks for Physical System Identification with Unobservability.
Proceedings of the IEEE International Conference on Data Mining, 2021

Joint Extraction Methods for Semantic Retrieval in Chinese Judicial Cases.
Proceedings of the 16th International Conference on Computer Science & Education, 2021

Semantic Matching of Legal Cases for large Scale Judgments of China.
Proceedings of the 16th International Conference on Computer Science & Education, 2021

Scaling Analysis of Crime Rate with Large Scale Judgments of China.
Proceedings of the 16th International Conference on Computer Science & Education, 2021

Large-Scale Judgments Based Sentencing Analysis of Drunk Driving Crime.
Proceedings of the 16th International Conference on Computer Science & Education, 2021

Multi-Task Semantic Matching model for Small Noisy Data Set.
Proceedings of the 16th International Conference on Computer Science & Education, 2021

Exposing Cyber-Physical System Weaknesses by Implicitly Learning their Underlying Models.
Proceedings of the Asian Conference on Machine Learning, 2021

2020
Topology Identification and Line Parameter Estimation for Non-PMU Distribution Network: A Numerical Method.
IEEE Trans. Smart Grid, 2020

A Geometric Analysis of Power System Loadability Regions.
IEEE Trans. Smart Grid, 2020

Wide-Area Measurement System-Based Low Frequency Oscillation Damping Control Through Reinforcement Learning.
IEEE Trans. Smart Grid, 2020

PMU-Based Distributed Non-Iterative Algorithm for Real-Time Voltage Stability Monitoring.
IEEE Trans. Smart Grid, 2020

Enhance High Impedance Fault Detection and Location Accuracy via µ-PMUs.
IEEE Trans. Smart Grid, 2020

Synchronous Parallel Block Coordinate Descent Method for Nonsmooth Convex Function Minimization.
J. Syst. Sci. Complex., 2020

The Hierarchical Model for News Recommendation.
Mechatron. Syst. Control., 2020

Few-Shot Learning for Chinese Legal Controversial Issues Classification.
IEEE Access, 2020

Deep Dependency Network for Multi-label Text Classification.
Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020

Heterogeneous Transfer Learning on Power Systems: A Merged Multi-Modal Gaussian Graphical Model.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Smooth exponential fitting and prediction on COVID-19 transmission charateristics in Italy using SEIR model.
Proceedings of the 13th International Congress on Image and Signal Processing, 2020

2019
Probabilistic Joint State Estimation for Operational Planning.
IEEE Trans. Smart Grid, 2019

Electric Vehicle Charging Station Placement Method for Urban Areas.
IEEE Trans. Smart Grid, 2019

Bayesian Inference via Variational Approximation for Collaborative Filtering.
Neural Process. Lett., 2019

Quantifying Hosting Capacity for Rooftop PV System in LV Distribution Grids.
CoRR, 2019

Input Modeling and Uncertainty Quantification for Improving Volatile Residential Load Forecasting.
CoRR, 2019

Robust Hidden Topology Identification in Distribution Systems.
CoRR, 2019

Analytically Exact Distributed Voltage Stability Index based on Power Flow Circles.
CoRR, 2019

Bayesian Non-Parametric Classification With Tree-Based Feature Transformation for NIPPV Efficacy Prediction in COPD Patients.
IEEE Access, 2019

A Medical-History-Based Potential Disease Prediction Algorithm.
IEEE Access, 2019

Neural Tensor Network for Multi- Label Classification.
IEEE Access, 2019

Accelerated Stochastic Variational Inference.
Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

2018
PaToPaEM: A Data-Driven Parameter and Topology Joint Estimation Framework for Time Varying System in Distribution Grids.
CoRR, 2018

Fast Distribution Grid Line Outage Identification with μPMU.
CoRR, 2018

Power Flow as Intersection of Circles: A new Fixed Point Method.
CoRR, 2018

Unbalanced Three-Phase Distribution Grid Topology Estimation and Bus Phase Identification.
CoRR, 2018

A Feature Selection Method for High Impedance Fault Detection.
CoRR, 2018

Stock Price movements Prediction with Textual Information.
Mechatron. Syst. Control., 2018

K-Means Clustering for Controversial Issues Merging in Chinese Legal Texts.
Proceedings of the Legal Knowledge and Information Systems, 2018

HODS: Hardware Object Deserialization Inside SSD Storage.
Proceedings of the 26th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2018

2017
Robust Data-Driven State Estimation for Smart Grid.
IEEE Trans. Smart Grid, 2017

VADER: Visualization and Analytics for Distributed Energy Resources.
CoRR, 2017

PaToPa: A Data-Driven Parameter and Topology Joint Estimation Framework in Distribution Grids.
CoRR, 2017

Mapping Rule Estimation for Power Flow Analysis in Distribution Grids.
CoRR, 2017

Geometric Understanding of the Stability of Power Flow Solutions.
CoRR, 2017

2016
Urban Distribution Grid Topology Estimation via Group Lasso.
CoRR, 2016

2015
Autoregressive Model for Individual Consumption Data - LASSO Selection and Significance Test.
CoRR, 2015

Probabilistic estimation of the potentials of intervention-based demand side energy management.
Proceedings of the 2015 IEEE International Conference on Smart Grid Communications, 2015

The Test of Feedback Mechanism between Public Attention and Stock Market Performance in China.
Proceedings of the International Conference on Cloud Computing and Big Data, 2015

2014
Data-driven topology estimation.
Proceedings of the 2014 IEEE International Conference on Smart Grid Communications, 2014

PowerScope: Early Event Detection and Identification in Electric Power Systems.
Proceedings of the Data Analytics for Renewable Energy Integration, 2014

An approach to achieving global optimum of AC electric power system state estimators.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2014

2013
An Information-Theoretic Approach to PMU Placement in Electric Power Systems.
IEEE Trans. Smart Grid, 2013

Graphical model for state estimation in electric power systems.
Proceedings of the IEEE Fourth International Conference on Smart Grid Communications, 2013

Historical data-driven state estimation for electric power systems.
Proceedings of the IEEE Fourth International Conference on Smart Grid Communications, 2013

Distributed algorithm for SDP state estimation.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2013

2012
Sensor selection for random field estimation in wireless sensor networks.
J. Syst. Sci. Complex., 2012

A search method for obtaining initial guesses for smart grid state estimation.
Proceedings of the IEEE Third International Conference on Smart Grid Communications, 2012

2011
Outage Analysis of Block-Fading Gaussian Interference Channels.
IEEE Trans. Inf. Theory, 2011

Diffusion-Based EM Algorithm for Distributed Estimation of Gaussian Mixtures in Wireless Sensor Networks.
Sensors, 2011

Total Least Squares Method for Robust Source Localization in Sensor Networks Using TDOA Measurements.
Int. J. Distributed Sens. Networks, 2011

Dual-Decomposition Approach for Distributed Optimization in Wireless Sensor Networks.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2011

2010
Outage Analysis of Block Fading Gaussian Interference Channels: General Case.
Proceedings of IEEE International Conference on Communications, 2010

Sensor deployment strategy for random field estimation: One-dimensional case.
Proceedings of the 11th International Conference on Control, 2010

Target tracking in wireless sensor networks using particle filter with quantized innovations.
Proceedings of the 13th Conference on Information Fusion, 2010

2008
SCGPred: A Score-based Method for Gene Structure Prediction by Combining Multiple Sources of Evidence.
Genom. Proteom. Bioinform., 2008

On the Han-Kobayashi achievable region for Gaussian interference channels.
Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008


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