Shanshan Wu

According to our database1, Shanshan Wu authored at least 55 papers between 2005 and 2024.

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Bibliography

2024
Two-stage fine-grained image classification model based on multi-granularity feature fusion.
Pattern Recognit., February, 2024

2023
Research on the construction process of human resources supply chain of small and micro enterprises based on Internet of Things technology.
Internet Things, July, 2023

Understanding citizens' satisfaction with the government response during the COVID-19 pandemic in China: comprehensive analysis of the government hotline.
Libr. Hi Tech, April, 2023

A Parallel Algorithm for Hyperspectral Target Detection Based on Weighted Alternating Direction Method of Multiplier.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Green building development for a sustainable environment with artificial intelligence technology.
Int. J. Comput. Appl. Technol., 2023

Profit: Benchmarking Personalization and Robustness Trade-off in Federated Prompt Tuning.
CoRR, 2023

A hybrid algorithm for clinical decision support in precision medicine based on machine learning.
BMC Bioinform., 2023

Hyperspectral and Multispectral Image Fusion Target Detection based on Cloud-Edge Collaboration.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Motley: Benchmarking Heterogeneity and Personalization in Federated Learning.
CoRR, 2022

Magic Mirror by Bidirectional GAN: A Video Data Theft-Proof Framework.
Proceedings of the IEEE International Conference on Communications, 2022

2021
Analytical Approximation Algorithm for the Inverse of the Power of the Incomplete Gamma Function Based on Extreme Value Theory.
KSII Trans. Internet Inf. Syst., 2021

A Field Guide to Federated Optimization.
CoRR, 2021

Federated Reconstruction: Partially Local Federated Learning.
CoRR, 2021

Federated Reconstruction: Partially Local Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Implicit Regularization and Convergence for Weight Normalization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Adaptive Edge Resource Allocation for Maximizing the Number of Tasks Completed on Time: A Deep Q-Learning Approach.
Proceedings of the Blockchain and Trustworthy Systems - Second International Conference, 2020

2019
Implicit Regularization of Normalization Methods.
CoRR, 2019

Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning Distributions Generated by One-Layer ReLU Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Hydrogel-Based Fluorescent Dual pH and Oxygen Sensors Loaded in 96-Well Plates for High-Throughput Cell Metabolism Studies.
Sensors, 2018

Amphiphilic Fluorine-Containing Block Copolymers as Carriers for Hydrophobic PtTFPP for Dissolved Oxygen Sensing, Cell Respiration Monitoring and In Vivo Hypoxia Imaging with High Quantum Efficiency and Long Lifetime.
Sensors, 2018

Design and stability analysis of multivariate extremum seeking with Newton method.
J. Frankl. Inst., 2018

Finding the hottest item in data streams.
Inf. Sci., 2018

The Sparse Recovery Autoencoder.
CoRR, 2018

2017
Novel structures for counting frequent items in time decayed streams.
World Wide Web, 2017

RLC: ranking lag correlations with flexible sliding windows in data streams.
Pattern Anal. Appl., 2017

Storage and retrieval of massive heterogeneous IoT data based on hybrid storage.
Proceedings of the 13th International Conference on Natural Computation, 2017

Trajectory outlier detection based on partition-and-detection framework.
Proceedings of the 13th International Conference on Natural Computation, 2017

Warehouse Site Selection for Online Retailers in Inter-Connected Warehouse Networks.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Research on Hybrid Storage Method of Massive Heterogeneous Data for Mobile Environment.
Proceedings of the Advances in Computer Science and Ubiquitous Computing, 2017

2016
Distributed Opportunistic Scheduling With QoS Constraints for Wireless Networks With Hybrid Links.
IEEE Trans. Veh. Technol., 2016

Single Pass PCA of Matrix Products.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Leveraging Sparsity for Efficient Submodular Data Summarization.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Finding Frequent Items in Time Decayed Data Streams.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

2015
Debt detection and debt recovery with advanced classification techniques
PhD thesis, 2015

A Domain Knowledge Based Method on Active and Focused Information Service for Decision Support within Big Data Environment.
Proceedings of the 19th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2015

Multi-view Sparse Embedding Analysis Based Image Feature Extraction and Classification.
Proceedings of the Computer Vision - CCF Chinese Conference, 2015

2014
Performance Study on a CSMA/CA-Based MAC Protocol for Multi-User MIMO Wireless LANs.
IEEE Trans. Wirel. Commun., 2014

Dictionary learning based software defect prediction.
Proceedings of the 36th International Conference on Software Engineering, 2014

Intra-View and Inter-View Supervised Correlation Analysis for Multi-View Feature Learning.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2012
Information-Theoretic Study on Routing Path Selection in Two-Way Relay Networks
CoRR, 2012

Membrane Computing Optimization Method Based on Catalytic Factor.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2012

2011
Inhibitor and Substrate Binding by Angiotensin-Converting Enzyme: Quantum Mechanical/Molecular Mechanical Molecular Dynamics Studies.
J. Chem. Inf. Model., 2011

Chaos-based improved immune algorithm (CBIIA) for resource-constrained project scheduling problems.
Expert Syst. Appl., 2011

2010
Less Effort, More Outcomes: Optimising Debt Recovery with Decision Trees.
Proceedings of the ICDMW 2010, 2010

2009
Debt Detection in Social Security by Sequence Classification Using Both Positive and Negative Patterns.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Debt Detection in Social Security by Adaptive Sequence Classification.
Proceedings of the Knowledge Science, 2009

The Application of an Improved Particle Swarm Optimization (PSO) Algorithm in Pairwise Sequence Alignment.
Proceedings of the 2009 International Conference on Computational Intelligence and Security, 2009

2007
A QoS-Guaranteeing Scheduling Algorithm for Continuous Queries over Streams.
Proceedings of the Advances in Data and Web Management, 2007

A Simple But Effective Event-Driven Model for Data Stream Queries.
Proceedings of the Advances in Data and Web Management, 2007

2006
Modelling and Guaranteeing Quality of Service over Data Streams.
Proceedings of the Web Information Systems - WISE 2006 Workshops, 2006

2005
A Deadline-Sensitive Approach for Real-Time Processing of Sliding Windows.
Proceedings of the Advances in Web-Age Information Management, 2005

Tick Scheduling: A Deadline Based Optimal Task Scheduling Approach for Real-Time Data Stream Systems.
Proceedings of the Advances in Web-Age Information Management, 2005

A Query Processing Approach Based on Window Semantics in Data Stream System.
Proceedings of the Advances in Computer Science, 2005


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