| 2026 | AAAI | Cooperative Graph Transformer with Structural Consensus for Multi-View Learning. | Zhiyuan Lai, Jiacheng Li, Jiayuan Wang, Shiping Wang |
| 2026 | AAAI | From Static to Active: Knowledge-Aware Node State Selection in Multi-view Graph Learning. | Weiran Liao, Jielong Lu, Yuhong Chen, Shide Du, Hongrong Chen, Shiping Wang |
| 2026 | AAAI | DIN: Dual Impulse Network for Multi-view Representation Learning. | Yilin Wu, Weihong Lin, Renjie Lin, Zihan Fang, Shide Du, Shiping Wang |
| 2025 | AAAI | Multi-View Incremental Learning with Structured Hebbian Plasticity for Enhanced Fusion Efficiency. | Yuhong Chen, Ailin Song, Huifeng Yin, Shuai Zhong, Fuhai Chen, Qi Xu, Shiping Wang, Mingkun Xu |
| 2025 | AAAI | OpenViewer: Openness-Aware Multi-View Learning. | Shide Du, Zihan Fang, Yanchao Tan, Changwei Wang, Shiping Wang, Wenzhong Guo |
| 2025 | ADMA | Constraint-Aware Multi-View Clustering via Graph Contrastive Learning. | Zhengnan Chen, Chunming Wu, Zihan Fang, Shide Du, Ping Fan, Shiping Wang |
| 2025 | IJCAI | HiTuner: Hierarchical Semantic Fusion Model Fine-Tuning on Text-Attributed Graphs. | Zihan Fang, Zhiling Cai, Yuxuan Zheng, Shide Du, Yanchao Tan, Shiping Wang |
| 2024 | AAAI | Graph Context Transformation Learning for Progressive Correspondence Pruning. | Junwen Guo, Guobao Xiao, Shiping Wang, Jun Yu |
| 2024 | AAAI | BCLNet: Bilateral Consensus Learning for Two-View Correspondence Pruning. | Xiangyang Miao, Guobao Xiao, Shiping Wang, Jun Yu |
| 2024 | ICDE | Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation. | Yanchao Tan, Hang Lv, Zihao Zhou, Wenzhong Guo, Bo Xiong, Weiming Liu, Chaochao Chen, Shiping Wang, Carl Yang |
| 2024 | IJCAI | Enhancing Dual-Target Cross-Domain Recommendation with Federated Privacy-Preserving Learning. | Zhenghong Lin, Wei Huang, Hengyu Zhang, Jiayu Xu, Weiming Liu, Xinting Liao, Fan Wang, Shiping Wang, Yanchao Tan |
| 2024 | KDD | Bridging and Compressing Feature and Semantic Spaces for Robust Graph Neural Networks: An Information Theory Perspective. | Luying Zhong, Renjie Lin, Jiayin Li, Shiping Wang, Zheyi Chen |
| 2023 | AAAI | Dual Low-Rank Graph Autoencoder for Semantic and Topological Networks. | Zhaoliang Chen, Zhihao Wu, Shiping Wang, Wenzhong Guo |
| 2023 | AAAI | Beyond Graph Convolutional Network: An Interpretable Regularizer-Centered Optimization Framework. | Shiping Wang, Zhihao Wu, Yuhong Chen, Yong Chen |
| 2022 | CVPR | Efficient Deep Embedded Subspace Clustering. | Jinyu Cai, Jicong Fan, Wenzhong Guo, Shiping Wang, Yunhe Zhang, Zhao Zhang |
| 2022 | QRS | Exploring the Impact of Grouping Strategies on Cooperative Co-evolutionary Algorithms for Solving the Advertising Budget Allocation Problem. | Yongfeng Gu, Yuxuan Zhou, Hao Ding, Fan Jia, Shiping Wang |
| 2019 | ISPA | Stacked Sparse Auto-Encoder for Deep Clustering. | Jinyu Cai, Shiping Wang, Wenzhong Guo |
| 2017 | ICIG | A Novel Algorithm of Image Fusion Based on Non-subsampled Shearlet-Contrast Transform. | Dongpeng Wu, Duyan Bi, Lin-Yuan He, Shiping Ma, Zunlin Fan, Wenshan Ding, Liyang Wu, Shiping Wang, Kun Liu |
| 2012 | GRC | Characteristics of 2-circuit matroids through rough sets. | Shiping Wang, William Zhu, Qingxin Zhu, Fan Min |
| 2011 | GRC | The vectorially matroidal structure of generalized rough sets based on relations. | Shiping Wang, William Zhu, Fan Min |
| 2011 | GRC | Reducible matroid and its relationship with covering-based rough sets. | Shiping Wang, William Zhu, Fan Min |
| 2011 | GRC | Rough matroid. | William Zhu, Shiping Wang |
| 2010 | GRC | The Covering Upper Approximation by Subcovering. | Shiping Wang, William Zhu, Peiyong Zhu |