Bingbing Jiang

62 papers A* 17A 2B 3C 1Journal 35Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
A hierarchical teacher-student learning framework with adaptive cross-modal fusion for brain tumor segmentation.
Expert Syst. Appl.
Tongxue Zhou, Su Ruan, Jinming Duan, Haigen Hu, Yanda Meng, Ling Huang, Defu Yang, Bingbing Jiang, Tingjin Luo, Zhiwei Ji, Baiying Lei
2026 J jnl
A reliable framework for brain tumor segmentation via multi-modal fusion and uncertainty modeling.
Inf. Fusion
Tongxue Zhou, Mingyang Li, Su Ruan, Tingjin Luo, Bingbing Jiang, Junan Zhu, Ping Ma, Defu Yang, Guang Yang
2026 J jnl
Adaptive group sparse multi-view classification method based on mutual information.
Pattern Recognit.
Yadi Wang, Tengfei Zhou, Xiaoding Guo, Bingbing Jiang, Jing-Yu Ji, Jun Zhang
2026 A* conf
Multi-View Clustering with Granularity-Aware Pseudo Supervision.
AAAI
Jie Yang, Cheng-You Lu, Zhongli Wang, Hsiang-Ting Chen, Guangkui Xu, Chenglong Zhang, Shuting Dong, Xinyan Liang, Bingbing Jiang
2026 J jnl
Peak-Padding: Clustering by Padding Density Peaks With the Minimum Padding Cost.
IEEE Trans. Neural Networks Learn. Syst.
Junyi Guan, Bingbing Jiang, Weiguo Sheng, Yangyang Zhao, Sheng Li, Xiongxiong He
2026 — conf
Self-Enhanced Density Clustering for High Dimension and Low Sample Size Data.
KDD (1)
Bingbing Jiang, Zhongli Wang, Jie Yang, Guangkui Xu, Wei Chen, Chenglong Zhang, Xinyan Liang, Peng Zhou, Weiguo Sheng, Weiping Ding
2026 J jnl
Structural feature selection via weighted sparse regression with mutual information.
J. Big Data
Yadi Wang, Yulin Xie, Sufang Zhou, Bingbing Jiang, Hangjun Che
2026 A* conf
Uncertainty-Guided View-Strength-Aware Feature Utilization for Multi-View Classification.
AAAI
Li Lv, Qian Guo, Li Zhang, Liang Du, Bingbing Jiang, Lu Chen, Xinyan Liang
2025 A* conf
Balanced Multiple Kernel Clustering with Discrete Partition Entropy Auto Regularization.
ACM Multimedia
Yan Chen, Bingbing Jiang, Peng Zhou, Lei Duan, Yuhua Qian, Liang Du
2025 J jnl
Causal Feature Selection With Imbalanced Data.
IEEE Trans. Emerg. Top. Comput. Intell.
Zhaolong Ling, Jingxuan Wu, Yiwen Zhang, Peng Zhou, Bingbing Jiang, Kui Yu, Xindong Wu
2025 A* conf
Collaborative Similarity Fusion and Consistency Recovery for Incomplete Multi-view Clustering.
AAAI
Bingbing Jiang, Chenglong Zhang, Xinyan Liang, Peng Zhou, Jie Yang, Xingyu Wu, Junyi Guan, Weiping Ding, Weiguo Sheng
2025 A* conf
Enhanced Denesity Peak Clustering for High-Dimensional Data.
AAAI
Zhongli Wang, Jie Yang, Junyi Guan, Chenglong Zhang, Xinyan Liang, Bingbing Jiang, Weiguo Sheng
2025 A* conf
Local Causal Discovery Without Causal Sufficiency.
AAAI
Zhaolong Ling, Jiale Yu, Yiwen Zhang, Debo Cheng, Peng Zhou, Xingyu Wu, Bingbing Jiang, Kui Yu
2025 A* conf
Multi-view Clustering via Multi-granularity Ensemble.
IJCAI
Jie Yang, Wei Chen, Feng Liu, Peng Zhou, Zhongli Wang, Xinyan Liang, Bingbing Jiang
2025 A* conf
Robust Tensor Learning with Graph Diffusion for Scalable Multi-view Graph Clustering.
ACM Multimedia
Jiale Zou, Yan Chen, Bingbing Jiang, Peng Zhou, Liang Du, Lei Duan, Yuhua Qian
2025 J jnl
Scalable Fuzzy Clustering With Collaborative Structure Learning and Preservation.
IEEE Trans. Fuzzy Syst.
Bingbing Jiang, Chenglong Zhang, Zhongli Wang, Xinyan Liang, Peng Zhou, Liang Du, Qinghua Zhang, Weiping Ding, Yi Liu
2025 J jnl
Semi-Supervised Multi-Label Feature Selection with Consistent Sparse Graph Learning.
CoRR
Yan Zhong, Xingyu Wu, Xinping Zhao, Li Zhang, Xinyuan Song, Lei Shi, Bingbing Jiang
2025 J jnl
Semi-supervised multi-view feature selection with adaptive similarity fusion and learning.
Pattern Recognit.
Bingbing Jiang, Jun Liu, Zidong Wang, Chenglong Zhang, Jie Yang, Yadi Wang, Weiguo Sheng, Weiping Ding
2025 A* conf
Trusted Multi-View Classification with Expert Knowledge Constraints.
ICML
Xinyan Liang, Shijie Wang, Yuhua Qian, Qian Guo, Liang Du, Bingbing Jiang, Tingjin Luo, Feijiang Li
2025 A* conf
View-Association-Guided Dynamic Multi-View Classification.
IJCAI
Xinyan Liang, Li Lv, Qian Guo, Bingbing Jiang, Feijiang Li, Liang Du, Lu Chen
2024 J jnl
DPT-tracker: Dual pooling transformer for efficient visual tracking.
CAAI Trans. Intell. Technol.
Yang Fang, Bailian Xie, Uswah Khairuddin, Zijian Min, Bingbing Jiang, Weisheng Li
2024 J jnl
Discriminative Multi-View Fusion via Adaptive Regression.
IEEE Trans. Emerg. Top. Comput. Intell.
Chenglong Zhang, Xinjie Zhu, Zidong Wang, Yan Zhong, Weiguo Sheng, Weiping Ding, Bingbing Jiang
2024 A* conf
Efficient Multi-view Unsupervised Feature Selection with Adaptive Structure Learning and Inference.
IJCAI
Chenglong Zhang, Yang Fang, Xinyan Liang, Han Zhang, Peng Zhou, Xingyu Wu, Jie Yang, Bingbing Jiang, Weiguo Sheng
2024 A* conf
Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation.
IJCAI
Xingyu Wu, Yan Zhong, Jibin Wu, Bingbing Jiang, Kay Chen Tan
2024 B conf
Multi-View Semi-Supervised Feature Selection with Graph Convolutional Networks.
IJCNN
Zihao Xu, Chenglong Zhang, Zhaolong Ling, Peng Zhou, Yan Zhong, Li Li, Han Zhang, Weiguo Sheng, Bingbing Jiang
2024 J jnl
Multi-cluster nonlinear unsupervised feature selection via joint manifold learning and generalized Lasso.
Expert Syst. Appl.
Yadi Wang, Mengyao Huang, Liming Zhou, Hangjun Che, Bingbing Jiang
2024 J jnl
Nonlinear learning method for local causal structures.
Inf. Sci.
Xingyu Wu, Yan Zhong, Zhaolong Ling, Jie Yang, Li Li, Weiguo Sheng, Bingbing Jiang
2024 A* conf
One-Stage Fair Multi-View Spectral Clustering.
ACM Multimedia
Rongwen Li, Haiyang Hu, Liang Du, Jiarong Chen, Bingbing Jiang, Peng Zhou
2024 A* conf
Scalable Multi-view Unsupervised Feature Selection with Structure Learning and Fusion.
ACM Multimedia
Chenglong Zhang, Xinyan Liang, Peng Zhou, Zhaolong Ling, Yingwei Zhang, Xingyu Wu, Weiguo Sheng, Bingbing Jiang
2024 J jnl
Semi-Supervised Multiview Feature Selection With Adaptive Graph Learning.
IEEE Trans. Neural Networks Learn. Syst.
Bingbing Jiang, Xingyu Wu, Xiren Zhou, Yi Liu, Anthony G. Cohn, Weiguo Sheng, Huanhuan Chen
2024 J jnl
Structured collaborative sparse dictionary learning for monitoring of multimode processes.
Inf. Sci.
Yi Liu, Jiusun Zeng, Bingbing Jiang, Weiguo Sheng, Zidong Wang, Lei Xie, Li Li
2023 — conf
Accelerated Semi-supervised Feature Selection via Adaptive Bipartite Graph.
AIPR
Yangfeng Lu, Chenglong Zhang, Bingbing Jiang
2023 J jnl
Adaptive collaborative fusion for multi-view semi-supervised classification.
Inf. Fusion
Bingbing Jiang, Chenglong Zhang, Yan Zhong, Yi Liu, Yingwei Zhang, Xingyu Wu, Weiguo Sheng
2023 J jnl
Efficient multi-view semi-supervised feature selection.
Inf. Sci.
Chenglong Zhang, Bingbing Jiang, Zidong Wang, Jie Yang, Yangfeng Lu, Xingyu Wu, Weiguo Sheng
2023 J jnl
Feature Selection in the Data Stream Based on Incremental Markov Boundary Learning.
IEEE Trans. Neural Networks Learn. Syst.
Xingyu Wu, Bingbing Jiang, Xiangyu Wang, Taiyu Ban, Huanhuan Chen
2023 J jnl
Multi-Target Markov Boundary Discovery: Theory, Algorithm, and Application.
IEEE Trans. Pattern Anal. Mach. Intell.
Xingyu Wu, Bingbing Jiang, Yan Zhong, Huanhuan Chen
2023 A* conf
Practical Markov Boundary Learning without Strong Assumptions.
AAAI
Xingyu Wu, Bingbing Jiang, Tianhao Wu, Huanhuan Chen
2023 J jnl
Row-Column Overcomplete Structured Dictionary Learning for Enhanced Fault Detection and Isolation.
IEEE Trans. Ind. Informatics
Yi Liu, Jiusun Zeng, Lei Xie, Bingbing Jiang, Dongping Zhang
2023 C conf
Structure-Guided Graphical Lasso for Process Monitoring.
SAFEPROCESS
Zijie Luo, Weiguo Sheng, Bingbing Jiang, Yi Liu
2022 J jnl
An Underground Pipeline Mapping Method Based on Fusion of Multisource Data.
IEEE Trans. Geosci. Remote. Sens.
Xiren Zhou, Qiuju Chen, Bingbing Jiang, Huanhuan Chen
2022 J jnl
Domain knowledge-enhanced variable selection for biomedical data analysis.
Inf. Sci.
Xingyu Wu, Zhenchao Tao, Bingbing Jiang, Tianhao Wu, Xin Wang, Huanhuan Chen
2022 J jnl
Robust multi-view learning via adaptive regression.
Inf. Sci.
Bingbing Jiang, Junhao Xiang, Xingyu Wu, Yadi Wang, Huanhuan Chen, Weiwei Cao, Weiguo Sheng
2022 J jnl
ST-SIGMA: Spatio-temporal semantics and interaction graph aggregation for multi-agent perception and trajectory forecasting.
CAAI Trans. Intell. Technol.
Yang Fang, Bei Luo, Ting Zhao, Dong He, Bingbing Jiang, Qilie Liu
2021 B conf
Multi-Label Local-to-Global Feature Selection.
IJCNN
Yan Zhong, Xingyu Wu, Bingbing Jiang, Huanhuan Chen
2021 J jnl
Multiple Kernel k-Means Clustering by Selecting Representative Kernels.
IEEE Trans. Neural Networks Learn. Syst.
Yaqiang Yao, Yang Li, Bingbing Jiang, Huanhuan Chen
2021 A conf
Robust Adaptive-weighting Multi-view Classification.
CIKM
Bingbing Jiang, Junhao Xiang, Xingyu Wu, Wenda He, Libin Hong, Weiguo Sheng
2021 J jnl
Separation and recovery Markov boundary discovery and its application in EEG-based emotion recognition.
Inf. Sci.
Xingyu Wu, Bingbing Jiang, Kui Yu, Huanhuan Chen
2021 — conf
Structured Dictionary Learning for Fault Detection and Isolation.
CAA SAFEPROCESS
Yi Liu, Jiusun Zeng, Bingbing Jiang, Xun Lang, Lei Xie
2021 J jnl
Symbolic Sequence Classification in the Fractal Space.
IEEE Trans. Emerg. Top. Comput. Intell.
Yang Li, Bingbing Jiang, Huanhuan Chen, Xin Yao
2020 J jnl
Accurate Markov Boundary Discovery for Causal Feature Selection.
IEEE Trans. Cybern.
Xingyu Wu, Bingbing Jiang, Kui Yu, Chunyan Miao, Huanhuan Chen
2020 B conf
An Adaptive Water Wave Optimization Algorithm with Enhanced Wave Interaction.
CEC
Yangyan Xu, Chenxin Wu, Bingbing Jiang, Weiguo Sheng
2020 A* conf
Multi-Label Causal Feature Selection.
AAAI
Xingyu Wu, Bingbing Jiang, Kui Yu, Huanhuan Chen, Chunyan Miao
2020 J jnl
Multi-label Causal Variable Discovery: Learning Common Causal Variables and Label-specific Causal Variables.
CoRR
Xingyu Wu, Bingbing Jiang, Yan Zhong, Huanhuan Chen
2020 J jnl
Multiclass Probabilistic Classification Vector Machine.
IEEE Trans. Neural Networks Learn. Syst.
Shengfei Lyu, Xing Tian, Yang Li, Bingbing Jiang, Huanhuan Chen
2020 J jnl
Probabilistic Classification Vector Machine for Multi-Class Classification.
CoRR
Shengfei Lyu, Xing Tian, Yang Li, Bingbing Jiang, Huanhuan Chen
2020 A conf
Tolerant Markov Boundary Discovery for Feature Selection.
CIKM
Xingyu Wu, Bingbing Jiang, Yan Zhong, Huanhuan Chen
2019 A* conf
Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach.
AAAI
Bingbing Jiang, Xingyu Wu, Kui Yu, Huanhuan Chen
2019 J jnl
Probabilistic Feature Selection and Classification Vector Machine.
ACM Trans. Knowl. Discov. Data
Bingbing Jiang, Chang Li, Maarten de Rijke, Xin Yao, Huanhuan Chen
2018 J jnl
Latent Topic Text Representation Learning on Statistical Manifolds.
IEEE Trans. Neural Networks Learn. Syst.
Bingbing Jiang, Zhengyu Li, Huanhuan Chen, Anthony G. Cohn
2018 — conf
Risk Factor Analysis of Bone Mineral Density Based on Feature Selection in Type 2 Diabetes.
ICBK
Wei Wang, Bingbing Jiang, Shandong Ye, Liting Qian
2018 J jnl
Semisupervised Negative Correlation Learning.
IEEE Trans. Neural Networks Learn. Syst.
Huanhuan Chen, Bingbing Jiang, Xin Yao
2017 J jnl
Scalable Graph-Based Semi-Supervised Learning through Sparse Bayesian Model.
IEEE Trans. Knowl. Data Eng.
Bingbing Jiang, Huanhuan Chen, Bo Yuan, Xin Yao