Sheng Wan

Orcid: 0000-0002-8483-5667

According to our database1, Sheng Wan authored at least 30 papers between 2000 and 2024.

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

Timeline

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Bibliography

2024
Easy-to-Hard Domain Adaptation With Human Interaction for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2024

Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Hyperspectral Image Classification With Contrastive Graph Convolutional Network.
IEEE Trans. Geosci. Remote. Sens., 2023

CASSOR: Class-Aware Sample Selection for Ordinal Regression with Noisy Labels.
Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023

FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation.
Proceedings of the International Joint Conference on Neural Networks, 2023

Leveraging Federated Learning for Unsecured Loan Risk Assessment on Decentralized Finance Lending Platforms.
Proceedings of the IEEE International Conference on Data Mining, 2023

Class-Imbalanced Semi-Supervised Learning with Inverse Auxiliary Classifier.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022
Dynamic Spectral-Spatial Poisson Learning for Hyperspectral Image Classification With Extremely Scarce Labels.
IEEE Trans. Geosci. Remote. Sens., 2022

Dual Interactive Graph Convolutional Networks for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

A Martian Analogues Library (MAL) Applicable for Tianwen-1 MarSCoDe-LIBS Data Interpretation.
Remote. Sens., 2022

Multi-level graph learning network for hyperspectral image classification.
Pattern Recognit., 2022

2021
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network.
IEEE Trans. Geosci. Remote. Sens., 2021

Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2020

Feature Consistency Training With JPEG Compressed Images.
IEEE Trans. Circuits Syst. Video Technol., 2020

Multi-Level Graph Convolutional Network with Automatic Graph Learning for Hyperspectral Image Classification.
CoRR, 2020

Edge-Aware Graph Attention Network for Ratio of Edge-User Estimation in Mobile Networks.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
QuatNet: Quaternion-Based Head Pose Estimation With Multiregression Loss.
IEEE Trans. Multim., 2019

Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image Classification.
CoRR, 2019

Passenger Flow Prediction in Traffic System Based on Deep Neural Networks and Transfer Learning Method.
Proceedings of the 4th International Conference on Intelligent Transportation Engineering, 2019

A Neural Network Based Method for Judging the Rationality of Litigation Request.
Proceedings of the Intelligent Robotics and Applications - 12th International Conference, 2019

2018
基于多尺度空谱鉴别特征的高光谱图像分类 (Hyperspectral Image Classification Based on Multi-scale Discriminative Spatial-spectral Features).
计算机科学, 2018

Confnet: Predict with Confidence.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2016
Time obfuscation-based privacy-preserving scheme for Location-Based Services.
Proceedings of the IEEE Wireless Communications and Networking Conference Workshops, 2016

Predictability analysis on expressway vehicle mobility using electronic toll collection data.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

2006
Parameter Incremental Learning Algorithm for Neural Networks.
IEEE Trans. Neural Networks, 2006

Design and Flight Testing Evaluation of Formation Control Laws.
IEEE Trans. Control. Syst. Technol., 2006

2002
Robust performance assessment of feedback control systems.
Autom., 2002

2000
Gap metric on the subgraphs of systems and the robustness problem.
IEEE Trans. Autom. Control., 2000


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