Jiang, Bingbing

12 publications

AAAI 2025 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

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

NeurIPS 2025 Improving Evolutionary Multi-View Classification via Eliminating Individual Fitness Bias Xinyan Liang, ShuaiLi, Qian Guo, Yuhua Qian, Bingbing Jiang, Tingjin Luo, Liang Du

AAAI 2025 Local Causal Discovery Without Causal Sufficiency Zhaolong Ling, Jiale Yu, Yiwen Zhang, Debo Cheng, Peng Zhou, Xingyu Wu, Bingbing Jiang, Kui Yu

IJCAI 2025 Multi-View Clustering via Multi-Granularity Ensemble Jie Yang, Wei Chen, Feng Liu, Peng Zhou, Zhongli Wang, Xinyan Liang, Bingbing Jiang

ICML 2025 Trusted Multi-View Classification with Expert Knowledge Constraints Xinyan Liang, Shijie Wang, Yuhua Qian, Qian Guo, Liang Du, Bingbing Jiang, Tingjin Luo, Feijiang Li

IJCAI 2025 View-Association-Guided Dynamic Multi-View Classification Xinyan Liang, Li Lv, Qian Guo, Bingbing Jiang, Feijiang Li, Liang Du, Lu Chen

IJCAI 2024 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

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

AAAI 2023 Practical Markov Boundary Learning Without Strong Assumptions Xingyu Wu, Bingbing Jiang, Tianhao Wu, Huanhuan Chen

AAAI 2020 Multi-Label Causal Feature Selection Xingyu Wu, Bingbing Jiang, Kui Yu, Huanhuan Chen, Chunyan Miao

AAAI 2019 Joint Semi-Supervised Feature Selection and Classification Through Bayesian Approach Bingbing Jiang, Xingyu Wu, Kui Yu, Huanhuan Chen