Shuai Tang

Orcid: 0000-0002-8467-0022

According to our database1, Shuai Tang authored at least 55 papers between 2012 and 2024.

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Bibliography

2024
CATNet: Convolutional attention and transformer for monocular depth estimation.
Pattern Recognit., January, 2024

2023
FDC-SP as a diagnostic and prognostic biomarker and modulates immune infiltrates in renal cell carcinoma.
BMC Bioinform., December, 2023

A novel model compression method based on joint distillation for deepfake video detection.
J. King Saud Univ. Comput. Inf. Sci., October, 2023

Clean-label poisoning attacks on federated learning for IoT.
Expert Syst. J. Knowl. Eng., June, 2023

A fast classification method of mass data in Internet of things based on fuzzy clustering maximum tree algorithm.
Web Intell., 2023

Membership Inference Attacks on Diffusion Models via Quantile Regression.
CoRR, 2023

Improved Differentially Private Regression via Gradient Boosting.
CoRR, 2023

Scalable Membership Inference Attacks via Quantile Regression.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MAMDR: A Model Agnostic Learning Framework for Multi-Domain Recommendation.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

A Verifiable Dynamic Multi-secret Sharing Obfuscation Scheme Applied to Data LakeHouse.
Proceedings of the Artificial Intelligence Security and Privacy, 2023

2022
An adaptive method for Chinese new word detection based on hypothesis testing.
Pattern Anal. Appl., 2022

MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation.
CoRR, 2022

Spectrally Adaptive Common Spatial Patterns.
CoRR, 2022

Why do Semantically Unrelated Categories Appear in the Same Session?: A Demand-aware Method.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Private Synthetic Data for Multitask Learning and Marginal Queries.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multi-time scale adaptive reactive power and voltage control of distribution network based on random forest algorithm.
Proceedings of the IPEC 2022: 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers, Dalian, China, April 14, 2022

Boosting Graph Convolutional Networks with Semi-supervised Training.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021
Linear Kernel Alignment for Domain Generalisation.
PhD thesis, 2021

Temporal Hierarchical Graph Attention Network for Traffic Prediction.
ACM Trans. Intell. Syst. Technol., 2021

Machine Learning-Based Risk Analysis for Construction Worker Safety from Ubiquitous Site Photos and Videos.
J. Comput. Civ. Eng., 2021

CADPP: An Effective Approach to Recommend Attentive and Diverse Long-tail Items.
Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Melbourne VIC Australia, December 14, 2021

Fast Adaptation with Linearized Neural Networks.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Video-Based Motion Trajectory Forecasting Method for Proactive Construction Safety Monitoring Systems.
J. Comput. Civ. Eng., 2020

Vision-Based Construction Worker Activity Analysis Informed by Body Posture.
J. Comput. Civ. Eng., 2020

Deep Transfer Learning with Ridge Regression.
CoRR, 2020

Similarity of Neural Networks with Gradients.
CoRR, 2020

An Accelerating Algorithm for Linear Multiplicative Programming Problem.
IEEE Access, 2020

Improving Style Transfer with Calibrated Metrics.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

The impact of maternal vasodilatation as pregnancy progress on peripheral arterial tonometry in assessment of endothelial function.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

2019
An Empirical Study on Post-processing Methods for Word Embeddings.
CoRR, 2019

A novel method to compute all eigenvalues of the polynomial eigenvalue problems in an open half plane.
Comput. Appl. Math., 2019

Acoustic Focusing Imaging Characteristics Based on Double Negative Locally Resonant Phononic Crystal.
IEEE Access, 2019

Directional Transmission Characteristics of Acoustic Waves Based on Artificial Periodic Structures.
IEEE Access, 2019

Acoustic Transmission Characteristics Based on H-Type Metamaterials.
IEEE Access, 2019

Exploiting Invertible Decoders for Unsupervised Sentence Representation Learning.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Biomechanical design analysis and experiments evaluation of a passive knee-assisting exoskeleton for weight-climbing.
Ind. Robot, 2018

Learning Distributed Representations of Symbolic Structure Using Binding and Unbinding Operations.
CoRR, 2018

Improving Sentence Representations with Multi-view Frameworks.
CoRR, 2018

Multi-view Sentence Representation Learning.
CoRR, 2018

Quantitative Evaluation of Style Transfer.
CoRR, 2018

Improved Style Transfer by Respecting Inter-layer Correlations.
CoRR, 2018

Acoustic Propagation Characteristics of Metamaterials With Tubular Structures.
IEEE Access, 2018

Speeding up Context-based Sentence Representation Learning with Non-autoregressive Convolutional Decoding.
Proceedings of The Third Workshop on Representation Learning for NLP, 2018

2017
An Out Space Accelerating Algorithm for Generalized Affine Multiplicative Programs Problem.
J. Control. Sci. Eng., 2017

Exploring Asymmetric Encoder-Decoder Structure for Context-based Sentence Representation Learning.
CoRR, 2017

Trimming and Improving Skip-thought Vectors.
CoRR, 2017

Rethinking Skip-thought: A Neighborhood based Approach.
Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

Designing of a Passive Knee-Assisting Exoskeleton for Weight-Bearing.
Proceedings of the Intelligent Robotics and Applications - 10th International Conference, 2017

2016
CDNASA: clustering data with noise and arbitrary shape.
Int. J. Wirel. Mob. Comput., 2016

Second-order sliding mode attitude controller design of a small-scale helicopter.
Sci. China Inf. Sci., 2016

2015
What Happened to My Dog in That Network: Unraveling Top-down Generators in Convolutional Neural Networks.
CoRR, 2015

Height and attitude active disturbance rejection controller design of a small-scale helicopter.
Sci. China Inf. Sci., 2015

Implementation of a robust and nonlinear attitude control system for a small-scale unmanned helicopter.
Proceedings of the IEEE International Conference on Information and Automation, 2015

2012
The Research on Visual Flight Simulation for Unmanned Helicopter.
Proceedings of the AsiaSim 2012, 2012

Histogram of Oriented Normal Vectors for Object Recognition with a Depth Sensor.
Proceedings of the Computer Vision, 2012


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