Wei Ye

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 32

Top Venues

CoRR

KDD

IEEE Trans. Knowl. Data Eng.

ICDE

Ludwig Maximilian University of Munich, Germany (PHD)

Education History

Ludwig Maximilian University of Munich, Germany

PHD

Publications

Hao Tian, Sourav Medya, Wei Ye
COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems. AAAI (2024)
Shuhao Tang, Hao Tian, Xiaofeng Cao, Wei Ye
Deep Hierarchical Graph Alignment Kernels. CoRR (2024)
Wengang Guo, Jiayi Yang, Huilin Yin, Qijun Chen, Wei Ye
PICNN: A Pathway towards Interpretable Convolutional Neural Networks. AAAI (2024)
Zhiyuan Wu, Jiaqi Li, Yi Feng, Chengju Liu, Wei Ye, Qijun Chen, Rui Fan
SG-RoadSeg: End-to-End Collision-Free Space Detection Sharing Encoder Representations Jointly Learned via Unsupervised Deep Stereo. ICRA (2024)
Wei Ye, Hao Tian, Qijun Chen
Multiscale Wasserstein Shortest-Path Graph Kernels for Graph Classification. IEEE Trans. Artif. Intell. 5 (6) (2024)
Linchuan Zhang, Wei Ye, Jun Yan, Hao Zhang, Johannes Betz, Huilin Yin
Loosely Coupled Stereo VINS Based on Point-Line Features Tracking With Feedback Loops. IEEE Trans. Veh. Technol. 73 (8) (2024)
Hao Tian, Sourav Medya, Wei Ye
COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems. CoRR (2023)
Wei Ye, Omid Askarisichani, Alex T. Jones, Ambuj K. Singh
Learning Deep Graph Representations via Convolutional Neural Networks (Extended abstract). ICDE (2023)
Yunqi Hong, Wei Ye
Review-Enhanced Sequential Recommendation with Self-Attention and Graph Collaborative Features. ICDM (Workshops) (2023)
Wei Ye, Dominik Mautz, Christian Böhm, Ambuj K. Singh, Claudia Plant
Incorporating User's Preference into Attributed Graph Clustering : Extended abstract. ICDE (2023)
Wengang Guo, Jiayi Yang, Huilin Yin, Qijun Chen, Wei Ye
PICNN: A Pathway towards Interpretable Convolutional Neural Networks. CoRR (2023)
Wei Ye, Omid Askarisichani, Alex T. Jones, Ambuj K. Singh
Learning Deep Graph Representations via Convolutional Neural Networks. IEEE Trans. Knowl. Data Eng. 34 (5) (2022)
Wei Ye, Francesco Bullo, Noah E. Friedkin, Ambuj K. Singh
Modeling Human-AI Team Decision Making. CoRR (2022)
Wei Ye, Jiayi Yang, Sourav Medya, Ambuj K. Singh
Incorporating Heterophily into Graph Neural Networks for Graph Classification. CoRR (2022)
Wei Ye, Zexi Huang, Yunqi Hong, Ambuj K. Singh
Graph Neural Diffusion Networks for Semi-supervised Learning. CoRR (2022)
Wei Ye, Zhen Wang, Rachel Redberg, Ambuj K. Singh
Tree++: Truncated Tree Based Graph Kernels. IEEE Trans. Knowl. Data Eng. 33 (4) (2021)
Wei Ye, Dominik Mautz, Christian Böhm, Ambuj K. Singh, Claudia Plant
Incorporating User's Preference into Attributed Graph Clustering. IEEE Trans. Knowl. Data Eng. 33 (12) (2021)
Wei Ye, Zhen Wang, Rachel Redberg, Ambuj K. Singh
Tree++: Truncated Tree Based Graph Kernels. CoRR (2020)
Dominik Mautz, Wei Ye, Claudia Plant, Christian Böhm
Non-Redundant Subspace Clusterings with Nr-Kmeans and Nr-DipMeans. ACM Trans. Knowl. Discov. Data 14 (5) (2020)
Wei Ye, Dominik Mautz, Christian Böhm, Ambuj K. Singh, Claudia Plant
Incorporating User's Preference into Attributed Graph Clustering. CoRR (2020)
Wei Ye, Omid Askarisichani, Alex T. Jones, Ambuj K. Singh
DeepMap: Learning Deep Representations for Graph Classification. CoRR (2020)
Dominik Mautz, Wei Ye, Claudia Plant, Christian Böhm
Discovering Non-Redundant K-means Clusterings in Optimal Subspaces. GI-Jahrestagung (2019)
Dominik Mautz, Wei Ye, Claudia Plant, Christian Böhm
Discovering Non-Redundant K-means Clusterings in Optimal Subspaces. KDD (2018)
Linfei Zhou, Wei Ye, Claudia Plant, Christian Böhm
Knowledge Discovery of Complex Data Using Gaussian Mixture Models. DaWaK (2017)
Linfei Zhou, Wei Ye, Bianca Wackersreuther, Claudia Plant, Christian Böhm
Novel Indexing Strategy and Similarity Measures for Gaussian Mixture Models. DEXA (2) (2017)
Linfei Zhou, Wei Ye, Zhen Wang, Claudia Plant, Christian Böhm
Indexing Multiple-Instance Objects. DEXA (2) (2017)
Dominik Mautz, Wei Ye, Claudia Plant, Christian Böhm
Towards an Optimal Subspace for K-Means. KDD (2017)
Wei Ye, Linfei Zhou, Dominik Mautz, Claudia Plant, Christian Böhm
Learning from Labeled and Unlabeled Vertices in Networks. KDD (2017)
Wei Ye, Linfei Zhou, Xin Sun, Claudia Plant, Christian Böhm
Attributed Graph Clustering with Unimodal Normalized Cut. ECML/PKDD (1) (2017)
Wei Ye, Samuel Maurus, Nina C. Hubig, Claudia Plant
Generalized Independent Subspace Clustering. ICDM (2016)
Wei Ye, Sebastian Goebl, Claudia Plant, Christian Böhm
FUSE: Full Spectral Clustering. KDD (2016)
Ling Wang, Ruixin Yang, Haoqi Ni, Wei Ye, Minrui Fei, Panos M. Pardalos
A human learning optimization algorithm and its application to multi-dimensional knapsack problems. Appl. Soft Comput. 34 (2015)
Ling Wang, Wei Ye, Haikuan Wang, Xiping Fu, Minrui Fei, Muhammad Ilyas Menhas
Optimal node placement of industrial wireless sensor networks based on adaptive mutation probability binary particle swarm optimization algorithm. Comput. Sci. Inf. Syst. 9 (4) (2012)
Ling Wang, Wei Ye, Xiping Fu, Muhammad Ilyas Menhas
A Modified Multi-objective Binary Particle Swarm Optimization Algorithm. ICSI (2) (2011)

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Publication Activity (10 Years)

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Wei Ye