Xinyang Chen

Orcid: 0000-0001-6743-838X

According to our database1, Xinyang Chen authored at least 25 papers between 2019 and 2024.

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



In proceedings 
PhD thesis 




Aboveground Biomass Inversion Based on Object-Oriented Classification and Pearson-mRMR-Machine Learning Model.
Remote. Sens., May, 2024

Current Sensor Incipient Fault Diagnosis in PMSM Drive Systems Using Novel Interval Sliding Mode Observer.
IEEE Trans. Instrum. Meas., 2024

A Cascaded Network With Coupled High-Low Frequency Features for Building Extraction.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

FCSG-Miner: Frequent closed subgraph mining in multi-graphs.
Inf. Sci., 2024

Mining credible attribute rules in dynamic attributed graphs.
Expert Syst. Appl., 2024

Recommender Transformers with Behavior Pathways.
Proceedings of the ACM on Web Conference 2024, 2024

A Novel Adaptive SMO-Based Simultaneous Diagnosis Method for IGBT Open-Circuit Faults and Current Sensor Incipient Faults of Inverters in PMSM Drives for Electric Vehicles.
IEEE Trans. Instrum. Meas., 2023

Flexible Job-Shop Scheduling via Graph Neural Network and Deep Reinforcement Learning.
IEEE Trans. Ind. Informatics, 2023

A Fine-Grained Unsupervised Domain Adaptation Framework for Semantic Segmentation of Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

New Approximation Algorithms for Touring Regions.
CoRR, 2023

Frequent Subgraph Mining in Dynamic Databases.
Proceedings of the IEEE International Conference on Big Data, 2023

A Novel Semi-superjunction SiC Trench MOSFET with Ultra-low Specific On-resistance.
Proceedings of the 15th IEEE International Conference on ASIC, 2023

An underwater dam crack image segmentation method based on multi-level adversarial transfer learning.
Neurocomputing, 2022

Cooperative Learning with Difference Reward in Large-Scale Traffic Signal Control.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

X-model: Improving Data Efficiency in Deep Learning with A Minimax Model.
Proceedings of the Tenth International Conference on Learning Representations, 2022

The Analysis of the China's Crude Oil Futures Market: The Impact of WTI and Exchange Rate on China's Crude Oil Futures Market.
Proceedings of the 8th International Conference on Industrial and Business Engineering, 2022

Dual Tunable MZIs Stationary-Wave Integrated Fourier Transform Spectrum Detection.
Sensors, 2021

Optical Transmission Properties of Si3N4 Add-Drop Micro-Ring Resonator Induced by a Fabry-Perot Resonance Effect.
Sensors, 2021

A compressed lattice Boltzmann method based on ConvLSTM and ResNet.
Comput. Math. Appl., 2021

Representation Subspace Distance for Domain Adaptation Regression.
Proceedings of the 38th International Conference on Machine Learning, 2021

Accuracy Verification of Airborne Large-Footprint Lidar based on Terrain Features.
Remote. Sens., 2020

Progressive Adversarial Networks for Fine-Grained Domain Adaptation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Denoising Algorithm Based on Local Distance Weighted Statistics for Photon Counting Lidar Point Data.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation.
Proceedings of the 36th International Conference on Machine Learning, 2019