| 2026 | KDD | Self-Enhanced Density Clustering for High Dimension and Low Sample Size Data. | Bingbing Jiang, Zhongli Wang, Jie Yang, Guangkui Xu, Wei Chen, Chenglong Zhang, Xinyan Liang, Peng Zhou, Weiguo Sheng, Weiping Ding |
| 2025 | AAAI | Collaborative Similarity Fusion and Consistency Recovery for Incomplete Multi-view Clustering. | Bingbing Jiang, Chenglong Zhang, Xinyan Liang, Peng Zhou, Jie Yang, Xingyu Wu, Junyi Guan, Weiping Ding, Weiguo Sheng |
| 2025 | AAAI | Enhanced Denesity Peak Clustering for High-Dimensional Data. | Zhongli Wang, Jie Yang, Junyi Guan, Chenglong Zhang, Xinyan Liang, Bingbing Jiang, Weiguo Sheng |
| 2025 | CEC | A Dynamic Multi-Method Evolutionary Algorithm for Multi-Objective Optimization with Learning Strategy. | Cong Li, Le Yan, Haoyu Zhang, Weiguo Sheng, Haibo Gao, Chang-Duo Liang |
| 2024 | IJCAI | Efficient Multi-view Unsupervised Feature Selection with Adaptive Structure Learning and Inference. | Chenglong Zhang, Yang Fang, Xinyan Liang, Han Zhang, Peng Zhou, Xingyu Wu, Jie Yang, Bingbing Jiang, Weiguo Sheng |
| 2024 | IJCNN | Multi-View Semi-Supervised Feature Selection with Graph Convolutional Networks. | Zihao Xu, Chenglong Zhang, Zhaolong Ling, Peng Zhou, Yan Zhong, Li Li, Han Zhang, Weiguo Sheng, Bingbing Jiang |
| 2023 | CEC | Differential Evolution with Clustering-based Niching and Adaptive Mutation for Global Optimization. | Hao Yan, Lu Zhang, Xiaoyu Wang, Qingping Liu, Mengjun Gu, Weiguo Sheng |
| 2023 | ICRA | Dense Depth Completion Based on Multi-Scale Confidence and Self-Attention Mechanism for Intestinal Endoscopy. | Ruyu Liu, Zhengzhe Liu, Haoyu Zhang, Guodao Zhang, Zhigui Zuo, Weiguo Sheng |
| 2022 | CEC | Adaptive Multi-subpopulation based Differential Evolution for Global Optimization. | Qingping Liu, Tingting Pang, Kaige Chen, Zuling Wang, Weiguo Sheng |
| 2022 | CEC | An Adaptive Differential Evolution with Mutation Strategy Pools for Global Optimization. | Tingting Pang, Jing Wei, Kaige Chen, Zuling Wang, Weiguo Sheng |
| 2021 | CIKM | Robust Adaptive-weighting Multi-view Classification. | Bingbing Jiang, Junhao Xiang, Xingyu Wu, Wenda He, Libin Hong, Weiguo Sheng |
| 2020 | CEC | An Adaptive Water Wave Optimization Algorithm with Enhanced Wave Interaction. | Yangyan Xu, Chenxin Wu, Bingbing Jiang, Weiguo Sheng |
| 2020 | IJCNN | A Transfer Learning Method with Multi-feature Calibration for Building Identification. | Jiafa Mao, Linlin Yu, Hui Yu, Yahong Hu, Weiguo Sheng |
| 2019 | IJCNN | A Super-Resolution Generative Adversarial Network with Simplified Gradient Penalty and Relativistic Discriminator. | Hui Yu, Haitao Sa, Dafang Zou, Jiafa Mao, Weiguo Sheng |
| 2017 | ICMLC | Adaptive usage of K-means in evolutionary optimized data clustering. | Xi Wang, Weiguo Sheng |
| 2017 | ICMLC | A novel dynamic crowding distance based diversity maintenance strategy for MOEAs. | Ling Yang, Yuyang Guan, Weiguo Sheng |
| 2015 | UIC | An Adaptive Memetic Algorithm for Designing Artificial Neural Networks. | Pengxiao Shan, Weiguo Sheng |
| 2008 | CEC | A genetic algorithm for fingerprint matching based on an integrated measure. | Weiguo Sheng, Gareth Howells, Karl Harmer, Michael C. Fairhurst, Farzin Deravi |
| 2005 | VDA | 3D visualization of gene clusters and networks. | Leishi Zhang, Weiguo Sheng, Xiaohui Liu |
| 2004 | CEC | A hybrid algorithm for k-medoid clustering of large data sets. | Weiguo Sheng, Xiaohui Liu |
| 2004 | GECCO | Clustering with Niching Genetic K-means Algorithm. | Weiguo Sheng, Allan Tucker, Xiaohui Liu |
| 2004 | ICCVG | 3D Visualization of gene Clusters. | Leishi Zhang, Xiaohui Liu, Weiguo Sheng |