Bin Liu

Orcid: 0000-0002-1677-2772

Affiliations:
  • Nanjing University of Posts and Telecommunications, School of Computer Science and Technology, China


According to our database1, Bin Liu authored at least 25 papers between 2011 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
FADS: Fourier-Augmentation Based Data-Shunting for Few-Shot Classification.
IEEE Trans. Circuits Syst. Video Technol., February, 2024

2021
Robust Dynamic Multi-Modal Data Fusion: A Model Uncertainty Perspective.
IEEE Signal Process. Lett., 2021

2020
A Survey on Trust Modeling from a Bayesian Perspective.
Wirel. Pers. Commun., 2020

Sequential online prediction in the presence of outliers and change points: An instant temporal structure learning approach.
Neurocomputing, 2020

Data-Driven Model Set Design for Model Averaged Particle Filter.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Harnessing Low-Fidelity Data to Accelerate Bayesian Optimization via Posterior Regularization.
Proceedings of the 2020 IEEE International Conference on Big Data and Smart Computing, 2020

2019
On relationship formation in heterogeneous information networks: An inferring method based on multilabel learning.
Stat. Anal. Data Min., 2019

2018
A Very Brief and Critical Discussion on AutoML.
CoRR, 2018

A Particle Filter based Multi-Objective Optimization Algorithm: PFOPS.
CoRR, 2018

Particle Filtering Methods for Stochastic Optimization with Application to Large-Scale Empirical Risk Minimization.
CoRR, 2018

ILAPF: Incremental Learning Assisted Particle Filtering.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Posterior exploration based sequential Monte Carlo for global optimization.
J. Glob. Optim., 2017

iTrace: An Implicit Trust Inference Method for Trust-aware Collaborative Filtering.
CoRR, 2017

Online Fault-Tolerant Dynamic Event Region Detection in Sensor Networks via Trust Model.
Proceedings of the 2017 IEEE Wireless Communications and Networking Conference, 2017

Maximum Likelihood Estimation Based on Random Subspace EDA: Application to Extrasolar Planet Detection.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

A relation prediction method based on PU learning.
Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering, 2017

Robust particle filter by dynamic averaging of multiple noise models.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

On Link Formation in Heterogeneous Information Networks: A View Based on Multi-Label Learning.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

2016
Dynamic Secure Interconnection for Security Enhancement in Cloud Computing.
Int. J. Comput. Commun. Control, 2016

Particle Filter Optimization: A Brief Introduction.
Proceedings of the Advances in Swarm Intelligence, 7th International Conference, 2016

Evolutionary Computation and Big Data: Key Challenges and Future Directions.
Proceedings of the Data Mining and Big Data, First International Conference, 2016

2015
Persymmetric adaptive detection and range estimation of a small target.
IEEE Trans. Aerosp. Electron. Syst., 2015

Probabilistic Trust Evaluation with Inaccurate Reputation Reports.
Int. J. Distributed Sens. Networks, 2015

Toward reliable data analysis for Internet of Things by Bayesian dynamic modeling and computation.
Proceedings of the IEEE China Summit and International Conference on Signal and Information Processing, 2015

2011
Instantaneous Frequency Tracking under Model Uncertainty via Dynamic Model Averaging and Particle Filtering.
IEEE Trans. Wirel. Commun., 2011


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