LoSS: Local Structural Separation Hypergraph Convolutional Neural Network. - Bingde Hu; Yang Gao 001; Zunlei Feng; Mingli Song; Xinyu Wang 001; Ying Li (ECAI, 2023)

A General Heterogeneous Hypergraph Neural Network for Node Classification. - Bingde Hu; Wenjie Huang; Tongya Zheng; Mingli Song; Ying Li (IJCNN, 2023)

HSDN: A High-Order Structural Semantic Disentangled Neural Network. - Bingde Hu; Xingen Wang; Zunlei Feng; Jie Song 011; Ji Zhao 016; Mingli Song; Xinyu Wang 001 (IEEE Trans. Knowl. Data Eng., 2023)

LG-CAV: Train Any Concept Activation Vector with Language Guidance. - Qihan Huang; Jie Song 011; Mengqi Xue; Haofei Zhang; Bingde Hu; Huiqiong Wang; Hao Jiang 014; Xingen Wang; Mingli Song (NeurIPS, 2024)

Dual-Perspective Activation: Efficient Channel Denoising via Joint Forward-Backward Criterion for Artificial Neural Networks. - Tian Qiu; Chenchao Gao; Zunlei Feng; Jie Lei 002; Bingde Hu; Xingen Wang; Yi Gao; Mingli Song (NeurIPS, 2024)

Dataset Ownership Verification in Contrastive Pre-trained Models. - Yuechen Xie; Jie Song; Mengqi Xue; Haofei Zhang; Xingen Wang; Bingde Hu; Genlang Chen; Mingli Song (ICLR, 2025)

Disentangled Condensation for Large-scale Graphs. - Zhenbang Xiao; Yu Wang 176; Shunyu Liu 001; Bingde Hu; Huiqiong Wang; Mingli Song; Tongya Zheng (WWW, 2025)

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems. - Heng Tang; Feng Liu; Xinbo Chen; Jiawei Chen; Bo Wang 023; Changwang Zhang; Jun Wang; Yuegang Sun; Bingde Hu; Can Wang (CoRR, 2025)