A Modified Multi-objective Binary Particle Swarm Optimization Algorithm. - Ling Wang 009; Wei Ye 001; Xiping Fu; Muhammad Ilyas Menhas (ICSI (2), 2011)

Optimal node placement of industrial wireless sensor networks based on adaptive mutation probability binary particle swarm optimization algorithm. - Ling Wang 009; Wei Ye 001; Haikuan Wang; Xiping Fu; Minrui Fei; Muhammad Ilyas Menhas (Comput. Sci. Inf. Syst., 2012)

A human learning optimization algorithm and its application to multi-dimensional knapsack problems. - Ling Wang 009; Ruixin Yang; Haoqi Ni; Wei Ye 001; Minrui Fei; Panos M. Pardalos (Appl. Soft Comput., 2015)

Generalized Independent Subspace Clustering. - Wei Ye 001; Samuel Maurus; Nina C. Hubig; Claudia Plant (ICDM, 2016)

FUSE: Full Spectral Clustering. - Wei Ye 001; Sebastian Goebl; Claudia Plant; Christian Böhm 001 (KDD, 2016)

Knowledge Discovery of Complex Data Using Gaussian Mixture Models. - Linfei Zhou; Wei Ye 001; Claudia Plant; Christian Böhm 001 (DaWaK, 2017)

Indexing Multiple-Instance Objects. - Linfei Zhou; Wei Ye 001; Zhen Wang; Claudia Plant; Christian Böhm 001 (DEXA (2), 2017)

Novel Indexing Strategy and Similarity Measures for Gaussian Mixture Models. - Linfei Zhou; Wei Ye 001; Bianca Wackersreuther; Claudia Plant; Christian Böhm 001 (DEXA (2), 2017)

Towards an Optimal Subspace for K-Means. - Dominik Mautz; Wei Ye 001; Claudia Plant; Christian Böhm 001 (KDD, 2017)

Learning from Labeled and Unlabeled Vertices in Networks. - Wei Ye 001; Linfei Zhou; Dominik Mautz; Claudia Plant; Christian Böhm 001 (KDD, 2017)

Attributed Graph Clustering with Unimodal Normalized Cut. - Wei Ye 001; Linfei Zhou; Xin Sun 003; Claudia Plant; Christian Böhm 001 (ECML/PKDD (1), 2017)

Discovering Non-Redundant K-means Clusterings in Optimal Subspaces. - Dominik Mautz; Wei Ye 001; Claudia Plant; Christian Böhm 001 (KDD, 2018)

Data mining using concepts of independence, unimodality and homophily. - Wei Ye 001 (2018)

DeepMap: Learning Deep Representations for Graph Classification. - Wei Ye 001; Omid Askarisichani; Alex T. Jones; Ambuj K. Singh (CoRR, 2020)

Non-Redundant Subspace Clusterings with Nr-Kmeans and Nr-DipMeans. - Dominik Mautz; Wei Ye 001; Claudia Plant; Christian Böhm 001 (ACM Trans. Knowl. Discov. Data, 2020)

Deep Embedded K-Means Clustering. - Wengang Guo; Kaiyan Lin; Wei Ye 001 (ICDM (Workshops), 2021)

Incorporating User's Preference into Attributed Graph Clustering. - Wei Ye 001; Dominik Mautz; Christian Böhm 001; Ambuj K. Singh; Claudia Plant (IEEE Trans. Knowl. Data Eng., 2021)

Tree++: Truncated Tree Based Graph Kernels. - Wei Ye 001; Zhen Wang; Rachel Redberg; Ambuj K. Singh (IEEE Trans. Knowl. Data Eng., 2021)

Modeling Human-AI Team Decision Making. - Wei Ye 001; Francesco Bullo; Noah E. Friedkin; Ambuj K. Singh (CoRR, 2022)

Graph Neural Diffusion Networks for Semi-supervised Learning. - Wei Ye 001; Zexi Huang; Yunqi Hong; Ambuj K. Singh (CoRR, 2022)

Incorporating Heterophily into Graph Neural Networks for Graph Classification. - Wei Ye 001; Jiayi Yang; Sourav Medya; Ambuj K. Singh (CoRR, 2022)

Graph Kernels Based on Multi-scale Graph Embeddings. - Wei Ye 001; Hao Tian; Qijun Chen (CoRR, 2022)

Learning Deep Graph Representations via Convolutional Neural Networks. - Wei Ye 001; Omid Askarisichani; Alex T. Jones; Ambuj K. Singh (IEEE Trans. Knowl. Data Eng., 2022)

Learning Deep Graph Representations via Convolutional Neural Networks (Extended abstract). - Wei Ye 001; Omid Askarisichani; Alex T. Jones; Ambuj K. Singh (ICDE, 2023)

Incorporating User's Preference into Attributed Graph Clustering : Extended abstract. - Wei Ye 001; Dominik Mautz; Christian Böhm 001; Ambuj K. Singh; Claudia Plant (ICDE, 2023)

Review-Enhanced Sequential Recommendation with Self-Attention and Graph Collaborative Features. - Yunqi Hong; Wei Ye 001 (ICDM (Workshops), 2023)

PICNN: A Pathway towards Interpretable Convolutional Neural Networks. - Wengang Guo; Jiayi Yang; Huilin Yin; Qijun Chen; Wei Ye 001 (AAAI, 2024)

COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems. - Hao Tian; Sourav Medya; Wei Ye 001 (AAAI, 2024)

SG-RoadSeg: End-to-End Collision-Free Space Detection Sharing Encoder Representations Jointly Learned via Unsupervised Deep Stereo. - Zhiyuan Wu; Jiaqi Li; Yi Feng; Chengju Liu; Wei Ye 001; Qijun Chen; Rui Fan 001 (ICRA, 2024)

Deep Hierarchical Graph Alignment Kernels. - Shuhao Tang; Hao Tian; Xiaofeng Cao; Wei Ye 001 (IJCAI, 2024)

Enhancing Shortest-Path Graph Kernels via Graph Augmentation. - Wei Ye 001; Hao Tian; Shuhao Tang; Xin Sun 003 (ECML/PKDD (8), 2024)

Deep Spectral Clustering via Joint Spectral Embedding and Kmeans. - Wengang Guo; Wei Ye 001 (SMC, 2024)

Incorporating Heterophily into Graph Neural Networks for Graph Classification. - Jiayi Yang; Sourav Medya; Wei Ye 001 (SMC, 2024)

DP-VINS: Dynamics Adaptive Plane-Based Visual-Inertial SLAM for Autonomous Vehicles. - Linchuan Zhang; Huilin Yin; Wei Ye 001; Johannes Betz (IEEE Trans. Instrum. Meas., 2024)

Multiscale Wasserstein Shortest-Path Graph Kernels for Graph Classification. - Wei Ye 001; Hao Tian; Qijun Chen (IEEE Trans. Artif. Intell., 2024)

Loosely Coupled Stereo VINS Based on Point-Line Features Tracking With Feedback Loops. - Linchuan Zhang; Wei Ye 001; Jun Yan 009; Hao Zhang 008; Johannes Betz; Huilin Yin (IEEE Trans. Veh. Technol., 2024)

TiCoSS: Tightening the Coupling Between Semantic Segmentation and Stereo Matching Within a Joint Learning Framework. - Guanfeng Tang; Zhiyuan Wu; Jiahang Li 001; Ping Zhong 002; Wei Ye 001; Xieyuanli Chen; Huimin Lu 002; Rui Fan 001 (IEEE Trans Autom. Sci. Eng., 2025)

SG-RoadSeg+: End-to-End Freespace Detection Upgraded at Data, Feature, and Loss Levels. - Ming-Ju Lee; Zhiyuan Wu; Chengju Liu; Wei Ye 001; Sergey Vityazev; Qijun Chen; Rui Fan 001 (IEEE Trans. Instrum. Meas., 2025)

Bootstrap Deep Spectral Clustering with Optimal Transport. - Wengang Guo; Wei Ye 001; Chunchun Chen; Xin Sun 003; Christian Böhm 001; Claudia Plant; Susanto Rahardja (CoRR, 2025)

Beyond Histogram Comparison: Distribution-Aware Simple-Path Graph Kernels. - Wei Ye 001; Shuhao Tang; Hao Tian; Qijun Chen (IEEE Trans. Artif. Intell., 2025)