| 2026 | AAAI | Anchor-Guided Discriminative Subspace Alignment and Clustering for Cross-Scene Hyperspectral Imagery. | Yongshan Zhang, Zixuan Zhang, Xinxin Wang, Lefei Zhang, Zhihua Cai |
| 2026 | AAAI | Efficient Tensorized Multi-View Anchor Graph Clustering with Affinity Propagation for Remote Sensing Data. | Yongshan Zhang, Kangyue Zheng, Shuaikang Yan, Xinxin Wang, Zhihua Cai |
| 2023 | ICASSP | Structured-Anchor Projected Clustering for Hyperspectral Images. | Guozhu Jiang, Jie Zhang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai |
| 2023 | ICASSP | Low-Rank Constrained Memory Autoencoder for Hyperspectral Anomaly Detection. | Yuyun Lian, Yongshan Zhang, Xuxiang Feng, Xinwei Jiang, Zhihua Cai |
| 2023 | ICASSP | Tensor Decomposition Based Latent Feature Clustering for Hyperspectral Band Selection. | Jianwen Qi, Jie Zhang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai |
| 2022 | IGARSS | Superpixel Correction Based Label Propagation for Hyperspectral Images Classification. | Qin Yan, Xinwei Jiang, Yongshan Zhang, Zhihua Cai |
| 2021 | CIKM | Large-Scale Hyperspectral Image Clustering Using Contrastive Learning. | Yaoming Cai, Yan Liu, Zijia Zhang, Zhihua Cai, Xiaobo Liu |
| 2020 | IGARSS | Particle Swarm Optimization Based Deep Learning Architecture Search for Hyperspectral Image Classification. | Chaochao Zhang, Xiaobo Liu, Guangjun Wang, Zhihua Cai |
| 2020 | IJCNN | Graph Convolutional Extreme Learning Machine. | Zijia Zhang, Yaoming Cai, Wenyin Gong, Xiaobo Liu, Zhihua Cai |
| 2019 | CEC | Random Walk Mutation-based DE with EDA for Nonlinear Equations Systems. | Zuowen Liao, Wenyin Gong, Zhihua Cai, Ling Wang, Yong Wang |
| 2019 | IGARSS | Spectral-Spatial Clustering of Hyperspectral Image Based on Laplacian Regularized Deep Subspace Clustering. | Meng Zeng, Yaoming Cai, Xiaobo Liu, Zhihua Cai, Xiang Li |
| 2018 | IJCNN | A Novel Deep Learning Approach: Stacked Evolutionary Auto-encoder. | Yaoming Cai, Zhihua Cai, Meng Zeng, Xiaobo Liu, Jia Wu, Guangjun Wang |
| 2018 | IJCNN | Functional Locality Preserving Projection for Dimensionality Reduction. | Xin Song, Xinwei Jiang, Junbin Gao, Zhihua Cai, Xia Hong |
| 2018 | IJCNN | Optical Flow Based Face Hallucination Via Weightedly-Constrained Representation. | Bi Wu, Zhihua Cai, Xiaobo Liu |
| 2018 | PAKDD | Shared Deep Kernel Learning for Dimensionality Reduction. | Xinwei Jiang, Junbin Gao, Xiaobo Liu, Zhihua Cai, Dongmei Zhang, Yuanxing Liu |
| 2018 | PRICAI | Using Differential Evolution to Estimate Labeler Quality for Crowdsourcing. | Chen Qiu, Liangxiao Jiang, Zhihua Cai |
| 2017 | ICONIP | Pre-trained Extreme Learning Machine. | Yongshan Zhang, Jia Wu, Zhihua Cai, Siwei Jiang |
| 2017 | IJCNN | A weighted-resampling based transfer learning algorithm. | Xiaobo Liu, Zhentao Liu, Guangjun Wang, Zhihua Cai, Harry Zhang |
| 2016 | CEC | Towards adaptive weight vectors for multiobjective evolutionary algorithm based on decomposition. | Siwei Jiang, Liang Feng, Dazhi Yang, Chen Kim Heng, Yew-Soon Ong, Nengsheng Allan Zhang, Puay Siew Tan, Zhihua Cai |
| 2016 | CEC | Classification guided differential evolution. | Shiyan Shen, Wenyin Gong, Zhihua Cai |
| 2016 | DASFAA | Multiple-Instance Learning with Evolutionary Instance Selection. | Yongshan Zhang, Jia Wu, Chuan Zhou, Peng Zhang, Zhihua Cai |
| 2016 | ICASSP | Hyperspectral image classification using set-to-set distance. | Junjun Jiang, Chen Chen, Xin Song, Zhihua Cai |
| 2016 | IJCNN | Nonparametrically Guided Autoencoder with Laplace Approximation for dimensionality reduction. | Xinwei Jiang, Xin Song, Junbin Gao, Zhihua Cai, Dongmei Zhang |
| 2015 | AAAI | Modelling Class Noise with Symmetric and Asymmetric Distributions. | Jun Du, Zhihua Cai |
| 2015 | IJCAI | Multi-Graph-View Learning for Complicated Object Classification. | Jia Wu, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang |
| 2015 | IJCNN | A memetic algorithm based extreme learning machine for classification. | Yongshan Zhang, Zhihua Cai, Jia Wu, Xinxin Wang, Xiaobo Liu |
| 2014 | ADMA | Dimensionally Reduction: An Experimental Study. | Xin Song, Zhihua Cai, Wei Xu |
| 2014 | CEC | A new adaptive Kalman filter by combining evolutionary algorithm and fuzzy inference system. | Yu Dan Huo, Zhihua Cai, Wenyin Gong, Qin Liu |
| 2014 | CEC | An improved JADE algorithm for global optimization. | Ming Yang, Zhihua Cai, Changhe Li, Jing Guan |
| 2014 | CIKM | Exploring Features for Complicated Objects: Cross-View Feature Selection for Multi-Instance Learning. | Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang |
| 2014 | GECCO | The parameter optimization of kalman filter based on multi-objective memetic algorithm. | Yu Dan Huo, Zhihua Cai, Wenyin Gong, Qin Liu |
| 2014 | GECCO | A dimensional-level adaptive differential evolutionary algorithm for continuous optimization. | Ming Yang, Jing Guan, Zhihua Cai, Changhe Li |
| 2014 | ICDM | Multi-graph-view Learning for Graph Classification. | Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang |
| 2014 | IJCNN | Attribute weighting: How and when does it work for Bayesian Network Classification. | Jia Wu, Zhihua Cai, Shirui Pan, Xingquan Zhu, Chengqi Zhang |
| 2014 | IJCNN | Dual instance and attribute weighting for Naive Bayes classification. | Jia Wu, Shirui Pan, Zhihua Cai, Xingquan Zhu, Chengqi Zhang |
| 2014 | ICTAI | An Adaptive Strategy to Adjust the Components of Memetic Algorithms. | Jin Xu, Zhihua Cai, Wenyin Gong |
| 2014 | PAKDD | Gaussian Processes Autoencoder for Dimensionality Reduction. | Xinwei Jiang, Junbin Gao, Xia Hong, Zhihua Cai |
| 2014 | PAKDD | Multi-Instance Learning from Positive and Unlabeled Bags. | Jia Wu, Xingquan Zhu, Chengqi Zhang, Zhihua Cai |
| 2014 | SDM | Multi-Graph Learning with Positive and Unlabeled Bags. | Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Chengqi Zhang, Zhihua Cai |
| 2013 | GECCO | An improved adaptive differential evolution algorithm with population adaptation. | Ming Yang, Zhihua Cai, Changhe Li, Jing Guan |
| 2013 | ICDM | Multi-instance Multi-graph Dual Embedding Learning. | Jia Wu, Xingquan Zhu, Chengqi Zhang, Zhihua Cai |
| 2013 | IJCNN | Self-adaptive probability estimation for Naive Bayes classification. | Jia Wu, Zhihua Cai, Xingquan Zhu |
| 2013 | IJCNN | Artificial immune system for attribute weighted Naive Bayes classification. | Jia Wu, Zhihua Cai, Sanyou Zeng, Xingquan Zhu |
| 2013 | ICTAI | Sampled Bayesian Network Classifiers for Class-Imbalance and Cost-Sensitive Learning. | Liangxiao Jiang, Chaoqun Li, Zhihua Cai, Harry Zhang |
| 2012 | ICNC | An empirical study on differential evolution for optimal power allocation in WSNs. | Wenyin Gong, Zhihua Cai |
| 2012 | ICTAI | A Tri-training Based Transfer Learning Algorithm. | Xiaobo Liu, Harry Zhang, Zhihua Cai, Guangjun Wang |
| 2011 | GECCO | Adaptive parameter selection for strategy adaptation in differential evolution. | Wenyin Gong, Zhihua Cai |
| 2011 | GECCO | Differential evolution with improved population reduction. | Ming Yang, Zhihua Cai, Jing Guan, Wenyin Gong |
| 2011 | ICNC | Multiobjective optimization by decomposition with Pareto-adaptive weight vectors. | Siwei Jiang, Zhihua Cai, Jie Zhang, Yew-Soon Ong |
| 2010 | GECCO | Probability matching-based adaptive strategy selection vs. uniform strategy selection within differential evolution: an empirical comparison on the bbob-2010 noiseless testbed. | lvaro Fialho, Wenyin Gong, Zhihua Cai |
| 2010 | GECCO | Adaptive strategy selection in differential evolution. | Wenyin Gong, lvaro Fialho, Zhihua Cai |
| 2009 | GECCO | Hybrid differential evolution based on fuzzy C-means clustering. | Wenyin Gong, Zhihua Cai, Charles X. Ling, Jun Du |
| 2008 | ADMA | Using Support Vector Regression for Classification. | Bo Huang, Zhihua Cai, Qiong Gu, Changjun Chen |
| 2008 | CEC | A multiobjective differential evolution algorithm for constrained optimization. | Wenyin Gong, Zhihua Cai |
| 2007 | ADMA | Survey of Improving Naive Bayes for Classification. | Liangxiao Jiang, Dianhong Wang, Zhihua Cai, Xuesong Yan |
| 2007 | AI | Cost-Sensitive Decision Trees with Pre-pruning. | Jun Du, Zhihua Cai, Charles X. Ling |
| 2007 | DIS | Learning Locally Weighted C4.4 for Class Probability Estimation. | Liangxiao Jiang, Harry Zhang, Dianhong Wang, Zhihua Cai |
| 2007 | EMO | A Novel Differential Evolution Algorithm Based on | Zhihua Cai, Wenyin Gong, Yongqin Huang |
| 2007 | ICNC | A Sorting Based Algorithm for Finding a Non-dominated Set in Multi-objective Optimization. | Jun Du, Zhihua Cai, Yunliang Chen |
| 2006 | ISDA | Augmented Naive Bayes Based on Evolutional Strategy. | Dan Zeng, Sifa Zhang, Zhihua Cai, Siwei Jiang, Liangxiao Jiang |
| 2006 | ISDA | A Novel One-dependence Estimator Based on Multi-parents. | Dan Zeng, Sifa Zhang, Zhihua Cai, Siwei Jiang, Liangxiao Jiang |
| 2005 | ADMA | One Dependence Augmented Naive Bayes. | Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su |
| 2005 | DASFAA | Learning Tree Augmented Naive Bayes for Ranking. | Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su |