Wei Ye

62 papers A* 14B 3Journal 36Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Analytical Survey of Learning with Low-Resource Data: From Analysis to Investigation.
ACM Comput. Surv.
Xiaofeng Cao, Mingwei Xu, Xin Yu, Jiangchao Yao, Wei Ye, Sheng-Jun Huang, Min-Ling Zhang, Ivor W. Tsang, Yew-Soon Ong, James T. Kwok, Heng Tao Shen
2026 J jnl
Bootstrap Deep Spectral Clustering With Optimal Transport.
IEEE Trans. Multim.
Wengang Guo, Wei Ye, Chunchun Chen, Xin Sun, Christian Böhm, Claudia Plant, Susanto Rahardja
2026 A* conf
Edge Self-Adversarial Augmentation Enhances Graph Contrastive Learning Against Neighborhood Inconsistency.
AAAI
Chunchun Chen, Xing Wei, Jiayi Yang, Chenrun Wang, Yiwei Fu, Yuxing Zhang, Xin Sun, Rui Fan, Wei Ye
2026 J jnl
Enhancing graph learning interpretability through modulating cluster information flow.
Pattern Recognit.
Jiayi Yang, Wei Ye, Xin Sun, Rui Fan, Jungong Han
2026 J jnl
Positional Relation Contextual Mixing for Imbalanced Classification.
Mach. Learn.
Yucheng Jiang, Jiateng Li, Yuan Tian, Jiangchao Yao, Xin Yu, Wei Ye, Xiaofeng Cao
2026 J jnl
Rebenchmarking Unsupervised Monocular 3D Occupancy Prediction.
CoRR
Zizhan Guo, Yi Feng, Mengtan Zhang, Haoran Zhang, Wei Ye, Rui Fan
2026 J jnl
Revealing Combinatorial Reasoning of GNNs via Graph Concept Bottleneck Layer.
CoRR
Yue Niu, Zhaokai Sun, Jiayi Yang, Xiaofeng Cao, Rui Fan, Xin Sun, Hanli Wang, Wei Ye
2026 J jnl
Two-Stream Interactive Joint Learning of Scene Parsing and Geometric Vision Tasks.
CoRR
Guanfeng Tang, Hongbo Zhao, Ziwei Long, Jiayao Li, Bohong Xiao, Wei Ye, Hanli Wang, Rui Fan
2025 J jnl
Analytical Survey of Learning with Low-Resource Data: From Analysis to Investigation.
CoRR
Xiaofeng Cao, Mingwei Xu, Xin Yu, Jiangchao Yao, Wei Ye, Shengjun Huang, Minling Zhang, Ivor W. Tsang, Yew Soon Ong, James T. Kwok, Heng Tao Shen
2025 J jnl
Beyond Histogram Comparison: Distribution-Aware Simple-Path Graph Kernels.
IEEE Trans. Artif. Intell.
Wei Ye, Shuhao Tang, Hao Tian, Qijun Chen
2025 J jnl
Bootstrap Deep Spectral Clustering with Optimal Transport.
CoRR
Wengang Guo, Wei Ye, Chunchun Chen, Xin Sun, Christian Böhm, Claudia Plant, Susanto Rahardja
2025 A* conf
Concept Matching with Agent for Out-of-Distribution Detection.
AAAI
Yuxiao Lee, Xiaofeng Cao, Jingcai Guo, Wei Ye, Qing Guo, Yi Chang
2025 J jnl
Distributional Shortest-Path Graph Kernels.
IEEE Trans. Knowl. Data Eng.
Wei Ye, Wengang Guo, Shuhao Tang, Hao Tian, Xin Sun, Xiaofeng Cao, Heng Tao Shen
2025 J jnl
Environment-Driven Online LiDAR-Camera Extrinsic Calibration.
IEEE Trans Autom. Sci. Eng.
Zhiwei Huang, Jiaqi Li, Hongbo Zhao, Xiao Ma, Ping Zhong, Xiao-Hu Zhou, Wei Ye, Rui Fan
2025 J jnl
Preference-driven Knowledge Distillation for Few-shot Node Classification.
CoRR
Xing Wei, Chunchun Chen, Rui Fan, Xiaofeng Cao, Sourav Medya, Wei Ye
2025 J jnl
SG-RoadSeg+: End-to-End Freespace Detection Upgraded at Data, Feature, and Loss Levels.
IEEE Trans. Instrum. Meas.
Ming-Ju Lee, Zhiyuan Wu, Chengju Liu, Wei Ye, Sergey Vityazev, Qijun Chen, Rui Fan
2025 J jnl
TiCoSS: Tightening the Coupling Between Semantic Segmentation and Stereo Matching Within a Joint Learning Framework.
IEEE Trans Autom. Sci. Eng.
Guanfeng Tang, Zhiyuan Wu, Jiahang Li, Ping Zhong, Wei Ye, Xieyuanli Chen, Huimin Lu, Rui Fan
2024 A* conf
COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems.
AAAI
Hao Tian, Sourav Medya, Wei Ye
2024 J jnl
DP-VINS: Dynamics Adaptive Plane-Based Visual-Inertial SLAM for Autonomous Vehicles.
IEEE Trans. Instrum. Meas.
Linchuan Zhang, Huilin Yin, Wei Ye, Johannes Betz
2024 A* conf
Deep Hierarchical Graph Alignment Kernels.
IJCAI
Shuhao Tang, Hao Tian, Xiaofeng Cao, Wei Ye
2024 J jnl
Deep Hierarchical Graph Alignment Kernels.
CoRR
Shuhao Tang, Hao Tian, Xiaofeng Cao, Wei Ye
2024 B conf
Deep Spectral Clustering via Joint Spectral Embedding and Kmeans.
SMC
Wengang Guo, Wei Ye
2024 J jnl
Deep Spectral Clustering via Joint Spectral Embedding and Kmeans.
CoRR
Wengang Guo, Wei Ye
2024 — conf
Enhancing Shortest-Path Graph Kernels via Graph Augmentation.
ECML/PKDD (8)
Wei Ye, Hao Tian, Shuhao Tang, Xin Sun
2024 A* conf
Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures.
NeurIPS
Yadong Sun, Xiaofeng Cao, Yu Wang, Wei Ye, Jingcai Guo, Qing Guo
2024 B conf
Incorporating Heterophily into Graph Neural Networks for Graph Classification.
SMC
Jiayi Yang, Sourav Medya, Wei Ye
2024 J jnl
Loosely Coupled Stereo VINS Based on Point-Line Features Tracking With Feedback Loops.
IEEE Trans. Veh. Technol.
Linchuan Zhang, Wei Ye, Jun Yan, Hao Zhang, Johannes Betz, Huilin Yin
2024 J jnl
Multiscale Wasserstein Shortest-Path Graph Kernels for Graph Classification.
IEEE Trans. Artif. Intell.
Wei Ye, Hao Tian, Qijun Chen
2024 A* conf
PICNN: A Pathway towards Interpretable Convolutional Neural Networks.
AAAI
Wengang Guo, Jiayi Yang, Huilin Yin, Qijun Chen, Wei Ye
2024 A* conf
SG-RoadSeg: End-to-End Collision-Free Space Detection Sharing Encoder Representations Jointly Learned via Unsupervised Deep Stereo.
ICRA
Zhiyuan Wu, Jiaqi Li, Yi Feng, Chengju Liu, Wei Ye, Qijun Chen, Rui Fan
2023 J jnl
COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems.
CoRR
Hao Tian, Sourav Medya, Wei Ye
2023 A* conf
Incorporating User's Preference into Attributed Graph Clustering : Extended abstract.
ICDE
Wei Ye, Dominik Mautz, Christian Böhm, Ambuj K. Singh, Claudia Plant
2023 A* conf
Learning Deep Graph Representations via Convolutional Neural Networks (Extended abstract).
ICDE
Wei Ye, Omid Askarisichani, Alex T. Jones, Ambuj K. Singh
2023 J jnl
PICNN: A Pathway towards Interpretable Convolutional Neural Networks.
CoRR
Wengang Guo, Jiayi Yang, Huilin Yin, Qijun Chen, Wei Ye
2023 — conf
Review-Enhanced Sequential Recommendation with Self-Attention and Graph Collaborative Features.
ICDM (Workshops)
Yunqi Hong, Wei Ye
2022 J jnl
Graph Kernels Based on Multi-scale Graph Embeddings.
CoRR
Wei Ye, Hao Tian, Qijun Chen
2022 J jnl
Graph Neural Diffusion Networks for Semi-supervised Learning.
CoRR
Wei Ye, Zexi Huang, Yunqi Hong, Ambuj K. Singh
2022 J jnl
Incorporating Heterophily into Graph Neural Networks for Graph Classification.
CoRR
Wei Ye, Jiayi Yang, Sourav Medya, Ambuj K. Singh
2022 J jnl
Learning Deep Graph Representations via Convolutional Neural Networks.
IEEE Trans. Knowl. Data Eng.
Wei Ye, Omid Askarisichani, Alex T. Jones, Ambuj K. Singh
2022 J jnl
Modeling Human-AI Team Decision Making.
CoRR
Wei Ye, Francesco Bullo, Noah E. Friedkin, Ambuj K. Singh
2021 — conf
Deep Embedded K-Means Clustering.
ICDM (Workshops)
Wengang Guo, Kaiyan Lin, Wei Ye
2021 J jnl
Deep Embedded K-Means Clustering.
CoRR
Wengang Guo, Kaiyan Lin, Wei Ye
2021 J jnl
Incorporating User's Preference into Attributed Graph Clustering.
IEEE Trans. Knowl. Data Eng.
Wei Ye, Dominik Mautz, Christian Böhm, Ambuj K. Singh, Claudia Plant
2021 J jnl
Tree++: Truncated Tree Based Graph Kernels.
IEEE Trans. Knowl. Data Eng.
Wei Ye, Zhen Wang, Rachel Redberg, Ambuj K. Singh
2020 J jnl
DeepMap: Learning Deep Representations for Graph Classification.
CoRR
Wei Ye, Omid Askarisichani, Alex T. Jones, Ambuj K. Singh
2020 J jnl
Incorporating User's Preference into Attributed Graph Clustering.
CoRR
Wei Ye, Dominik Mautz, Christian Böhm, Ambuj K. Singh, Claudia Plant
2020 J jnl
Non-Redundant Subspace Clusterings with Nr-Kmeans and Nr-DipMeans.
ACM Trans. Knowl. Discov. Data
Dominik Mautz, Wei Ye, Claudia Plant, Christian Böhm
2020 J jnl
Tree++: Truncated Tree Based Graph Kernels.
CoRR
Wei Ye, Zhen Wang, Rachel Redberg, Ambuj K. Singh
2019 — conf
Discovering Non-Redundant K-means Clusterings in Optimal Subspaces.
GI-Jahrestagung
Dominik Mautz, Wei Ye, Claudia Plant, Christian Böhm
2018 — —
Data mining using concepts of independence, unimodality and homophily.
Wei Ye
2018 A* conf
Discovering Non-Redundant K-means Clusterings in Optimal Subspaces.
KDD
Dominik Mautz, Wei Ye, Claudia Plant, Christian Böhm
2017 — conf
Attributed Graph Clustering with Unimodal Normalized Cut.
ECML/PKDD (1)
Wei Ye, Linfei Zhou, Xin Sun, Claudia Plant, Christian Böhm
2017 — conf
Indexing Multiple-Instance Objects.
DEXA (2)
Linfei Zhou, Wei Ye, Zhen Wang, Claudia Plant, Christian Böhm
2017 B conf
Knowledge Discovery of Complex Data Using Gaussian Mixture Models.
DaWaK
Linfei Zhou, Wei Ye, Claudia Plant, Christian Böhm
2017 A* conf
Learning from Labeled and Unlabeled Vertices in Networks.
KDD
Wei Ye, Linfei Zhou, Dominik Mautz, Claudia Plant, Christian Böhm
2017 — conf
Novel Indexing Strategy and Similarity Measures for Gaussian Mixture Models.
DEXA (2)
Linfei Zhou, Wei Ye, Bianca Wackersreuther, Claudia Plant, Christian Böhm
2017 A* conf
Towards an Optimal Subspace for K-Means.
KDD
Dominik Mautz, Wei Ye, Claudia Plant, Christian Böhm
2016 A* conf
FUSE: Full Spectral Clustering.
KDD
Wei Ye, Sebastian Goebl, Claudia Plant, Christian Böhm
2016 A* conf
Generalized Independent Subspace Clustering.
ICDM
Wei Ye, Samuel Maurus, Nina C. Hubig, Claudia Plant
2015 J jnl
A human learning optimization algorithm and its application to multi-dimensional knapsack problems.
Appl. Soft Comput.
Ling Wang, Ruixin Yang, Haoqi Ni, Wei Ye, Minrui Fei, Panos M. Pardalos
2012 J jnl
Optimal node placement of industrial wireless sensor networks based on adaptive mutation probability binary particle swarm optimization algorithm.
Comput. Sci. Inf. Syst.
Ling Wang, Wei Ye, Haikuan Wang, Xiping Fu, Minrui Fei, Muhammad Ilyas Menhas
2011 — conf
A Modified Multi-objective Binary Particle Swarm Optimization Algorithm.
ICSI (2)
Ling Wang, Wei Ye, Xiping Fu, Muhammad Ilyas Menhas