Baichuan Zhang

Orcid: 0000-0001-7054-7050

According to our database1, Baichuan Zhang authored at least 25 papers between 2014 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
An Optimal Denoising Method for Spaceborne Photon-Counting LiDAR Based on a Multiscale Quadtree.
Remote. Sens., July, 2024

2023
Multi-UAV task allocation based on GCN-inspired binary stochastic L-BFGS.
Comput. Commun., December, 2023

Identification of Active and Binding Sites with Multi-dimensional Feature Vectors and K-Nearest Neighbor Classification Algorithm.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Mit Protein Transformer: Identification Mitochondrial Proteins with Transformer Model.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Multi-Stream Facial Adaptive Network for Expression Recognition from a Single Image.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Attention based trajectory prediction method under the air combat environment.
Appl. Intell., 2022

2019
Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding.
Data Sci. Eng., 2019

Dirichlet Process Gaussian Mixture for Active Online Name Disambiguation by Particle Filter.
Proceedings of the 19th ACM/IEEE Joint Conference on Digital Libraries, 2019

Neural-brane: an inductive approach for attributed network embedding.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018
Predicting <i>interval time</i> for reciprocal link creation using survival analysis.
Soc. Netw. Anal. Min., 2018

Incremental eigenpair computation for graph Laplacian matrices: theory and applications.
Soc. Netw. Anal. Min., 2018

A Combined Representation Learning Approach for Better Job and Skill Recommendation.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Towards Name Disambiguation: Relational, Streaming, and Privacy-Preserving Text Data
PhD thesis, 2017

Feature Selection for Classification under Anonymity Constraint.
Trans. Data Priv., 2017

Bayesian Non-Exhaustive Classification for Active Online Name Disambiguation.
CoRR, 2017

Name Entity Disambiguation in Anonymized Graphs using Link Analysis: A Network Embedding based Solution.
CoRR, 2017

NOUS: Construction and Querying of Dynamic Knowledge Graphs.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Name Disambiguation in Anonymized Graphs using Network Embedding.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Trust from the past: Bayesian Personalized Ranking based Link Prediction in Knowledge Graphs.
CoRR, 2016

Bayesian Non-Exhaustive Classification A Case Study: Online Name Disambiguation using Temporal Record Streams.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Name disambiguation from link data in a collaboration graph using temporal and topological features.
Soc. Netw. Anal. Min., 2015

Feature Selection for Classification under Anonymity Constraint.
CoRR, 2015

Incremental Method for Spectral Clustering of Increasing Orders.
CoRR, 2015

Simplicity of Kmeans Versus Deepness of Deep Learning: A Case of Unsupervised Feature Learning with Limited Data.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

2014
Name disambiguation from link data in a collaboration graph.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014


  Loading...