Scalable Graph-Based Semi-Supervised Learning through Sparse Bayesian Model. - Bingbing Jiang 001; Huanhuan Chen; Bo Yuan 006; Xin Yao 001 (IEEE Trans. Knowl. Data Eng., 2017)

Risk Factor Analysis of Bone Mineral Density Based on Feature Selection in Type 2 Diabetes. - Wei Wang 274; Bingbing Jiang 001; Shandong Ye; Liting Qian (ICBK, 2018)

Semisupervised Negative Correlation Learning. - Huanhuan Chen; Bingbing Jiang 001; Xin Yao 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Latent Topic Text Representation Learning on Statistical Manifolds. - Bingbing Jiang 001; Zhengyu Li; Huanhuan Chen; Anthony G. Cohn 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach. - Bingbing Jiang 001; Xingyu Wu; Kui Yu; Huanhuan Chen (AAAI, 2019)

Probabilistic Feature Selection and Classification Vector Machine. - Bingbing Jiang 001; Chang Li 003; Maarten de Rijke; Xin Yao 001; Huanhuan Chen (ACM Trans. Knowl. Discov. Data, 2019)

Multi-Label Causal Feature Selection. - Xingyu Wu; Bingbing Jiang 001; Kui Yu; Huanhuan Chen; Chunyan Miao (AAAI, 2020)

An Adaptive Water Wave Optimization Algorithm with Enhanced Wave Interaction. - Yangyan Xu; Chenxin Wu; Bingbing Jiang 001; Weiguo Sheng 001 (CEC, 2020)

Tolerant Markov Boundary Discovery for Feature Selection. - Xingyu Wu; Bingbing Jiang 001; Yan Zhong 001; Huanhuan Chen (CIKM, 2020)

Probabilistic Classification Vector Machine for Multi-Class Classification. - Shengfei Lyu; Xing Tian; Yang Li 066; Bingbing Jiang 001; Huanhuan Chen (CoRR, 2020)

Multi-label Causal Variable Discovery: Learning Common Causal Variables and Label-specific Causal Variables. - Xingyu Wu; Bingbing Jiang 001; Yan Zhong 001; Huanhuan Chen (CoRR, 2020)

Accurate Markov Boundary Discovery for Causal Feature Selection. - Xingyu Wu; Bingbing Jiang 001; Kui Yu; Chunyan Miao; Huanhuan Chen (IEEE Trans. Cybern., 2020)

Multiclass Probabilistic Classification Vector Machine. - Shengfei Lyu; Xing Tian; Yang Li 066; Bingbing Jiang 001; Huanhuan Chen (IEEE Trans. Neural Networks Learn. Syst., 2020)

Structured Dictionary Learning for Fault Detection and Isolation. - Yi Liu 037; Jiusun Zeng; Bingbing Jiang 001; Xun Lang; Lei Xie 007 (CAA SAFEPROCESS, 2021)

Robust Adaptive-weighting Multi-view Classification. - Bingbing Jiang 001; Junhao Xiang; Xingyu Wu; Wenda He; Libin Hong 001; Weiguo Sheng 001 (CIKM, 2021)

Multi-Label Local-to-Global Feature Selection. - Yan Zhong 001; Xingyu Wu; Bingbing Jiang 001; Huanhuan Chen (IJCNN, 2021)

Separation and recovery Markov boundary discovery and its application in EEG-based emotion recognition. - Xingyu Wu; Bingbing Jiang 001; Kui Yu; Huanhuan Chen (Inf. Sci., 2021)

Symbolic Sequence Classification in the Fractal Space. - Yang Li 066; Bingbing Jiang 001; Huanhuan Chen; Xin Yao 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Multiple Kernel k-Means Clustering by Selecting Representative Kernels. - Yaqiang Yao; Yang Li 066; Bingbing Jiang 001; Huanhuan Chen (IEEE Trans. Neural Networks Learn. Syst., 2021)

Robust multi-view learning via adaptive regression. - Bingbing Jiang 001; Junhao Xiang; Xingyu Wu; Yadi Wang; Huanhuan Chen; Weiwei Cao; Weiguo Sheng 001 (Inf. Sci., 2022)

Domain knowledge-enhanced variable selection for biomedical data analysis. - Xingyu Wu; Zhenchao Tao; Bingbing Jiang 001; Tianhao Wu; Xin Wang 179; Huanhuan Chen (Inf. Sci., 2022)

An Underground Pipeline Mapping Method Based on Fusion of Multisource Data. - Xiren Zhou; Qiuju Chen; Bingbing Jiang 001; Huanhuan Chen (IEEE Trans. Geosci. Remote. Sens., 2022)

ST-SIGMA: Spatio-temporal semantics and interaction graph aggregation for multi-agent perception and trajectory forecasting. - Yang Fang; Bei Luo; Ting Zhao; Dong He; Bingbing Jiang 001; Qilie Liu (CAAI Trans. Intell. Technol., 2022)

Practical Markov Boundary Learning without Strong Assumptions. - Xingyu Wu; Bingbing Jiang 001; Tianhao Wu; Huanhuan Chen (AAAI, 2023)

Accelerated Semi-supervised Feature Selection via Adaptive Bipartite Graph. - Yangfeng Lu; Chenglong Zhang; Bingbing Jiang 001 (AIPR, 2023)

Structure-Guided Graphical Lasso for Process Monitoring. - Zijie Luo; Weiguo Sheng 001; Bingbing Jiang 001; Yi Liu 037 (SAFEPROCESS, 2023)

Multi-Target Markov Boundary Discovery: Theory, Algorithm, and Application. - Xingyu Wu; Bingbing Jiang 001; Yan Zhong 001; Huanhuan Chen (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Row-Column Overcomplete Structured Dictionary Learning for Enhanced Fault Detection and Isolation. - Yi Liu 037; Jiusun Zeng; Lei Xie 007; Bingbing Jiang 001; Dongping Zhang (IEEE Trans. Ind. Informatics, 2023)

Adaptive collaborative fusion for multi-view semi-supervised classification. - Bingbing Jiang 001; Chenglong Zhang; Yan Zhong 001; Yi Liu 037; Yingwei Zhang 002; Xingyu Wu; Weiguo Sheng 001 (Inf. Fusion, 2023)

Feature Selection in the Data Stream Based on Incremental Markov Boundary Learning. - Xingyu Wu; Bingbing Jiang 001; Xiangyu Wang 016; Taiyu Ban; Huanhuan Chen (IEEE Trans. Neural Networks Learn. Syst., 2023)

Efficient multi-view semi-supervised feature selection. - Chenglong Zhang; Bingbing Jiang 001; Zidong Wang 001; Jie Yang 052; Yangfeng Lu; Xingyu Wu; Weiguo Sheng 001 (Inf. Sci., 2023)

Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation. - Xingyu Wu; Yan Zhong 001; Jibin Wu; Bingbing Jiang 001; Kay Chen Tan (IJCAI, 2024)

Efficient Multi-view Unsupervised Feature Selection with Adaptive Structure Learning and Inference. - Chenglong Zhang; Yang Fang; Xinyan Liang; Han Zhang; Peng Zhou 006; Xingyu Wu; Jie Yang 052; Bingbing Jiang 001; Weiguo Sheng 001 (IJCAI, 2024)

Multi-View Semi-Supervised Feature Selection with Graph Convolutional Networks. - Zihao Xu; Chenglong Zhang; Zhaolong Ling; Peng Zhou 006; Yan Zhong 001; Li Li 037; Han Zhang; Weiguo Sheng 001; Bingbing Jiang 001 (IJCNN, 2024)

One-Stage Fair Multi-View Spectral Clustering. - Rongwen Li; Haiyang Hu; Liang Du 003; Jiarong Chen; Bingbing Jiang 001; Peng Zhou 006 (ACM Multimedia, 2024)

Scalable Multi-view Unsupervised Feature Selection with Structure Learning and Fusion. - Chenglong Zhang; Xinyan Liang; Peng Zhou 006; Zhaolong Ling; Yingwei Zhang 002; Xingyu Wu; Weiguo Sheng 001; Bingbing Jiang 001 (ACM Multimedia, 2024)

DPT-tracker: Dual pooling transformer for efficient visual tracking. - Yang Fang; Bailian Xie; Uswah Khairuddin; Zijian Min; Bingbing Jiang 001; Weisheng Li (CAAI Trans. Intell. Technol., 2024)

Multi-cluster nonlinear unsupervised feature selection via joint manifold learning and generalized Lasso. - Yadi Wang; Mengyao Huang; Liming Zhou; Hangjun Che; Bingbing Jiang 001 (Expert Syst. Appl., 2024)

Structured collaborative sparse dictionary learning for monitoring of multimode processes. - Yi Liu 037; Jiusun Zeng; Bingbing Jiang 001; Weiguo Sheng 001; Zidong Wang 001; Lei Xie 007; Li Li 037 (Inf. Sci., 2024)

Nonlinear learning method for local causal structures. - Xingyu Wu; Yan Zhong 001; Zhaolong Ling; Jie Yang 052; Li Li 037; Weiguo Sheng 001; Bingbing Jiang 001 (Inf. Sci., 2024)

Semi-Supervised Multiview Feature Selection With Adaptive Graph Learning. - Bingbing Jiang 001; Xingyu Wu; Xiren Zhou; Yi Liu 037; Anthony G. Cohn 001; Weiguo Sheng 001; Huanhuan Chen (IEEE Trans. Neural Networks Learn. Syst., 2024)

Discriminative Multi-View Fusion via Adaptive Regression. - Chenglong Zhang; Xinjie Zhu; Zidong Wang 001; Yan Zhong 001; Weiguo Sheng 001; Weiping Ding 001; Bingbing Jiang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Collaborative Similarity Fusion and Consistency Recovery for Incomplete Multi-view Clustering. - Bingbing Jiang 001; Chenglong Zhang; Xinyan Liang; Peng Zhou 006; Jie Yang 052; Xingyu Wu; Junyi Guan; Weiping Ding 001; Weiguo Sheng 001 (AAAI, 2025)

Local Causal Discovery Without Causal Sufficiency. - Zhaolong Ling; Jiale Yu; Yiwen Zhang 001; Debo Cheng; Peng Zhou 006; Xingyu Wu; Bingbing Jiang 001; Kui Yu (AAAI, 2025)

Enhanced Denesity Peak Clustering for High-Dimensional Data. - Zhongli Wang; Jie Yang 052; Junyi Guan; Chenglong Zhang; Xinyan Liang; Bingbing Jiang 001; Weiguo Sheng 001 (AAAI, 2025)

Semi-supervised multi-view feature selection with adaptive similarity fusion and learning. - Bingbing Jiang 001; Jun Liu 001; Zidong Wang 010; Chenglong Zhang; Jie Yang 052; Yadi Wang; Weiguo Sheng 001; Weiping Ding 001 (Pattern Recognit., 2025)

Causal Feature Selection With Imbalanced Data. - Zhaolong Ling; Jingxuan Wu; Yiwen Zhang 001; Peng Zhou 008; Bingbing Jiang 001; Kui Yu; Xindong Wu 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Semi-Supervised Multi-Label Feature Selection with Consistent Sparse Graph Learning. - Yan Zhong 001; Xingyu Wu; Xinping Zhao; Li Zhang 104; Xinyuan Song; Lei Shi; Bingbing Jiang 001 (CoRR, 2025)

Scalable Fuzzy Clustering With Collaborative Structure Learning and Preservation. - Bingbing Jiang 001; Chenglong Zhang; Zhongli Wang; Xinyan Liang; Peng Zhou 006; Liang Du 003; Qinghua Zhang 001; Weiping Ding 001; Yi Liu 037 (IEEE Trans. Fuzzy Syst., 2025)