Wei Ye

Orcid: 0000-0002-3784-7788

Affiliations:

Tongji University, Department of Computer Science, Shanghai, China
University of California Santa Barbara, CA, USA (2018 - 2020)
Ludwig Maximilian University of Munich, Germany (PhD 2018)
Shanghai University, School of Mechatronics and Automation, China (former)

According to our database¹, Wei Ye authored at least 27 papers between 2011 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems.

[BibT_eX]

[DOI]

Hao Tian

Sourav Medya

Wei Ye

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

PICNN: A Pathway towards Interpretable Convolutional Neural Networks.

[BibT_eX]

[DOI]

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

2023

Review-Enhanced Sequential Recommendation with Self-Attention and Graph Collaborative Features.

[BibT_eX]

[DOI]

Yunqi Hong

Wei Ye

Proceedings of the IEEE International Conference on Data Mining, 2023

Incorporating User's Preference into Attributed Graph Clustering : Extended abstract.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Learning Deep Graph Representations via Convolutional Neural Networks (Extended abstract).

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Learning Deep Graph Representations via Convolutional Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Incorporating Heterophily into Graph Neural Networks for Graph Classification.

[BibT_eX]

[DOI]

CoRR, 2022

Graph Neural Diffusion Networks for Semi-supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Modeling Human-AI Team Decision Making.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Tree++: Truncated Tree Based Graph Kernels.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2021

Incorporating User's Preference into Attributed Graph Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2021

Deep Embedded K-Means Clustering.

[BibT_eX]

[DOI]

Wengang Guo

Kaiyan Lin

Wei Ye

Proceedings of the 2021 International Conference on Data Mining, 2021

2020

Non-Redundant Subspace Clusterings with Nr-Kmeans and Nr-DipMeans.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2020

DeepMap: Learning Deep Representations for Graph Classification.

[BibT_eX]

[DOI]

CoRR, 2020

2018

Data mining using concepts of independence, unimodality and homophily.

[BibT_eX]

[DOI]

Wei Ye

PhD thesis, 2018

Discovering Non-Redundant K-means Clusterings in Optimal Subspaces.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

Attributed Graph Clustering with Unimodal Normalized Cut.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Learning from Labeled and Unlabeled Vertices in Networks.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Towards an Optimal Subspace for K-Means.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Novel Indexing Strategy and Similarity Measures for Gaussian Mixture Models.

[BibT_eX]

[DOI]

Linfei Zhou

Wei Ye

Bianca Wackersreuther

Claudia Plant

Christian Böhm

Proceedings of the Database and Expert Systems Applications, 2017

Indexing Multiple-Instance Objects.

[BibT_eX]

[DOI]

Proceedings of the Database and Expert Systems Applications, 2017

Knowledge Discovery of Complex Data Using Gaussian Mixture Models.

[BibT_eX]

[DOI]

Proceedings of the Big Data Analytics and Knowledge Discovery, 2017

2016

FUSE: Full Spectral Clustering.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Generalized Independent Subspace Clustering.

[BibT_eX]

[DOI]

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

A human learning optimization algorithm and its application to multi-dimensional knapsack problems.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2015

2012

Optimal node placement of industrial wireless sensor networks based on adaptive mutation probability binary particle swarm optimization algorithm.

[BibT_eX]

[DOI]

Muhammad Ilyas Menhas

Comput. Sci. Inf. Syst., 2012

2011

A Modified Multi-objective Binary Particle Swarm Optimization Algorithm.

[BibT_eX]

[DOI]

Ling Wang

Wei Ye

Xiping Fu

Muhammad Ilyas Menhas

Proceedings of the Advances in Swarm Intelligence - Second International Conference, 2011

Wei Ye

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