Sheng Wan

Orcid: 0000-0002-8483-5667

According to our database¹, Sheng Wan authored at least 34 papers between 2000 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Boosting Graph Contrastive Learning via Adaptive Sampling.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., November, 2024

Easy-to-Hard Domain Adaptation With Human Interaction for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

Rank Aggregation in Crowdsourcing for Listwise Annotations.

[BibT_eX]

[DOI]

CoRR, 2024

Label Privacy Source Coding in Vertical Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Byzantine Robust Aggregation in Federated Distillation with Adversaries.

[BibT_eX]

[DOI]

Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Hyperspectral Image Classification With Contrastive Graph Convolutional Network.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

CASSOR: Class-Aware Sample Selection for Ordinal Regression with Noisy Labels.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023

FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

Leveraging Federated Learning for Unsecured Loan Risk Assessment on Decentralized Finance Lending Platforms.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Class-Imbalanced Semi-Supervised Learning with Inverse Auxiliary Classifier.

[BibT_eX]

[DOI]

Tiansong Jiang

Sheng Wan

Chen Gong

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Dynamic Spectral-Spatial Poisson Learning for Hyperspectral Image Classification With Extremely Scarce Labels.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

Dual Interactive Graph Convolutional Networks for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

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

[BibT_eX]

[DOI]

Remote. Sens., 2022

Multi-level graph learning network for hyperspectral image classification.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

2021

Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2021

Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2020

Feature Consistency Training With JPEG Compressed Images.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Edge-Aware Graph Attention Network for Ratio of Edge-User Estimation in Mobile Networks.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

QuatNet: Quaternion-Based Head Pose Estimation With Multiregression Loss.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Passenger Flow Prediction in Traffic System Based on Deep Neural Networks and Transfer Learning Method.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Intelligent Transportation Engineering, 2019

A Neural Network Based Method for Judging the Rationality of Litigation Request.

[BibT_eX]

[DOI]

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).

[BibT_eX]

[DOI]

计算机科学, 2018

Confnet: Predict with Confidence.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2016

Time obfuscation-based privacy-preserving scheme for Location-Based Services.

[BibT_eX]

[DOI]

Proceedings of the IEEE Wireless Communications and Networking Conference Workshops, 2016

Predictability analysis on expressway vehicle mobility using electronic toll collection data.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

2006

Parameter Incremental Learning Algorithm for Neural Networks.

[BibT_eX]

[DOI]

Sheng Wan

L. E. Banta

IEEE Trans. Neural Networks, 2006

Design and Flight Testing Evaluation of Formation Control Laws.

[BibT_eX]

[DOI]

Yu Gu

Brad Seanor

Giampiero Campa

Marcello R. Napolitano

Larry Rowe

Srikanth Gururajan

Sheng Wan

IEEE Trans. Control. Syst. Technol., 2006

2002

Robust performance assessment of feedback control systems.

[BibT_eX]

[DOI]

Sheng Wan

Biao Huang

Autom., 2002

2000

Gap metric on the subgraphs of systems and the robustness problem.

[BibT_eX]

[DOI]

Sheng Wan

Biao Huang

IEEE Trans. Autom. Control., 2000

Sheng Wan

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