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ORCIDWei Ye 0001
Person information
- affiliation: Tongji University, Department of Computer Science, Shanghai, China
- affiliation (2018 - 2020): University of California Santa Barbara, CA, USA
- affiliation (PhD 2018): Ludwig Maximilian University of Munich, Germany
- affiliation (former): Shanghai University, School of Mechatronics and Automation, China
Other persons with the same name
- Wei Ye — disambiguation page
- Wei Ye 0002 — Braunschweig University of Technology, Germany
- Wei Ye 0003 — Broadcom Corporation (and 1 more)
- Wei Ye 0004
![[0000-0002-9331-4716]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-9331-4716")
— Peking University, National Engineering Research Center for Software Engineering, Beijing, China - Wei Ye 0005 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
- Wei Ye 0007 — Wuhan University, Wuhan, Hubei, China
- Wei Ye 0008 — University of Texas at Austin, ECE Department, Austin, TX, USA
- Wei Ye 0009 — University of Minnesota, Department of Computer Science and Engineering, Minneapolis, MN, USA
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Books and Theses
- 2018
[b1]Wei Ye:
Data mining using concepts of independence, unimodality and homophily. Ludwig Maximilian University of Munich, Germany, 2018
Journal Articles
- 2024
- [j8]Wei Ye, Hao Tian, Qijun Chen:
Multiscale Wasserstein Shortest-Path Graph Kernels for Graph Classification. IEEE Trans. Artif. Intell. 5(6): 2973-2984 (2024) - [j7]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): 10916-10931 (2024) - 2022
- [j6]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): 2268-2279 (2022) - 2021
- [j5]Wei Ye, Zhen Wang, Rachel Redberg, Ambuj K. Singh:
Tree++: Truncated Tree Based Graph Kernels. IEEE Trans. Knowl. Data Eng. 33(4): 1778-1789 (2021) - [j4]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): 3716-3728 (2021) - 2020
- [j3]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): 55:1-55:24 (2020) - 2015
- [j2]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: 736-743 (2015) - 2012
- [j1]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): 1553-1576 (2012)
Conference and Workshop Papers
- 2024
- [c20]Wengang Guo, Jiayi Yang, Huilin Yin, Qijun Chen, Wei Ye:
PICNN: A Pathway towards Interpretable Convolutional Neural Networks. AAAI 2024: 2003-2012 - [c19]Hao Tian, Sourav Medya, Wei Ye:
COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems. AAAI 2024: 20812-20820 - [c18]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: 11063-11069 - [c17]Shuhao Tang, Hao Tian, Xiaofeng Cao, Wei Ye:
Deep Hierarchical Graph Alignment Kernels. IJCAI 2024: 4964-4972 - [c16]Wei Ye, Hao Tian, Shuhao Tang, Xin Sun:
Enhancing Shortest-Path Graph Kernels via Graph Augmentation. ECML/PKDD (8) 2024: 180-198 - 2023
- [c15]Wei Ye, Omid Askarisichani, Alex T. Jones, Ambuj K. Singh:
Learning Deep Graph Representations via Convolutional Neural Networks (Extended abstract). ICDE 2023: 3831-3832 - [c14]Wei Ye, Dominik Mautz, Christian Böhm, Ambuj K. Singh, Claudia Plant:
Incorporating User's Preference into Attributed Graph Clustering : Extended abstract. ICDE 2023: 3833-3834 - [c13]Yunqi Hong, Wei Ye:
Review-Enhanced Sequential Recommendation with Self-Attention and Graph Collaborative Features. ICDM (Workshops) 2023: 1493-1499 - 2021
- [c12]Wengang Guo, Kaiyan Lin, Wei Ye:
Deep Embedded K-Means Clustering. ICDM (Workshops) 2021: 686-694 - 2019
- [c11]Dominik Mautz, Wei Ye, Claudia Plant, Christian Böhm:
Discovering Non-Redundant K-means Clusterings in Optimal Subspaces. GI-Jahrestagung 2019: 257-258 - 2018
- [c10]Dominik Mautz, Wei Ye, Claudia Plant, Christian Böhm:
Discovering Non-Redundant K-means Clusterings in Optimal Subspaces. KDD 2018: 1973-1982 - 2017
- [c9]Linfei Zhou, Wei Ye, Claudia Plant, Christian Böhm:
Knowledge Discovery of Complex Data Using Gaussian Mixture Models. DaWaK 2017: 409-423 - [c8]Linfei Zhou, Wei Ye, Zhen Wang, Claudia Plant, Christian Böhm:
Indexing Multiple-Instance Objects. DEXA (2) 2017: 143-157 - [c7]Linfei Zhou, Wei Ye, Bianca Wackersreuther, Claudia Plant, Christian Böhm:
Novel Indexing Strategy and Similarity Measures for Gaussian Mixture Models. DEXA (2) 2017: 158-171 - [c6]Dominik Mautz, Wei Ye, Claudia Plant, Christian Böhm:
Towards an Optimal Subspace for K-Means. KDD 2017: 365-373 - [c5]Wei Ye, Linfei Zhou, Dominik Mautz, Claudia Plant, Christian Böhm:
Learning from Labeled and Unlabeled Vertices in Networks. KDD 2017: 1265-1274 - [c4]Wei Ye, Linfei Zhou, Xin Sun, Claudia Plant, Christian Böhm:
Attributed Graph Clustering with Unimodal Normalized Cut. ECML/PKDD (1) 2017: 601-616 - 2016
- [c3]Wei Ye, Samuel Maurus, Nina C. Hubig, Claudia Plant:
Generalized Independent Subspace Clustering. ICDM 2016: 569-578 - [c2]Wei Ye, Sebastian Goebl, Claudia Plant, Christian Böhm:
FUSE: Full Spectral Clustering. KDD 2016: 1985-1994 - 2011
- [c1]Ling Wang, Wei Ye, Xiping Fu, Muhammad Ilyas Menhas:
A Modified Multi-objective Binary Particle Swarm Optimization Algorithm. ICSI (2) 2011: 41-48
Informal and Other Publications
- 2024
- [i11]Shuhao Tang, Hao Tian, Xiaofeng Cao, Wei Ye:
Deep Hierarchical Graph Alignment Kernels. CoRR abs/2405.05545 (2024) - 2023
- [i10]Hao Tian, Sourav Medya, Wei Ye:
COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems. CoRR abs/2312.09086 (2023) - [i9]Wengang Guo, Jiayi Yang, Huilin Yin, Qijun Chen, Wei Ye:
PICNN: A Pathway towards Interpretable Convolutional Neural Networks. CoRR abs/2312.12068 (2023) - 2022
- [i8]Wei Ye, Francesco Bullo, Noah E. Friedkin, Ambuj K. Singh:
Modeling Human-AI Team Decision Making. CoRR abs/2201.02759 (2022) - [i7]Wei Ye, Zexi Huang, Yunqi Hong, Ambuj K. Singh:
Graph Neural Diffusion Networks for Semi-supervised Learning. CoRR abs/2201.09698 (2022) - [i6]Wei Ye, Jiayi Yang, Sourav Medya, Ambuj K. Singh:
Incorporating Heterophily into Graph Neural Networks for Graph Classification. CoRR abs/2203.07678 (2022) - [i5]Wei Ye, Hao Tian, Qijun Chen:
Graph Kernels Based on Multi-scale Graph Embeddings. CoRR abs/2206.00979 (2022) - 2021
- [i4]Wengang Guo, Kaiyan Lin, Wei Ye:
Deep Embedded K-Means Clustering. CoRR abs/2109.15149 (2021) - 2020
- [i3]Wei Ye, Zhen Wang, Rachel Redberg, Ambuj K. Singh:
Tree++: Truncated Tree Based Graph Kernels. CoRR abs/2002.09846 (2020) - [i2]Wei Ye, Dominik Mautz, Christian Böhm, Ambuj K. Singh, Claudia Plant:
Incorporating User's Preference into Attributed Graph Clustering. CoRR abs/2003.11079 (2020) - [i1]Wei Ye, Omid Askarisichani, Alex T. Jones, Ambuj K. Singh:
DeepMap: Learning Deep Representations for Graph Classification. CoRR abs/2004.02131 (2020)
Coauthor Index
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