He, Xiaofeng

12 publications

AAAI 2025 Attribution Analysis Meets Model Editing: Advancing Knowledge Correction in Vision Language Models with VisEdit Qizhou Chen, Taolin Zhang, Chengyu Wang, Xiaofeng He, Dakan Wang, Tingting Liu

CVPR 2025 Lifelong Knowledge Editing for Vision Language Models with Low-Rank Mixture-of-Experts Qizhou Chen, Chengyu Wang, Dakan Wang, Taolin Zhang, Wangyue Li, Xiaofeng He

NeurIPS 2025 UniEdit: A Unified Knowledge Editing Benchmark for Large Language Models Qizhou Chen, Dakan Wang, Taolin Zhang, Zaoming Yan, Chengsong You, Chengyu Wang, Xiaofeng He

AAAI 2024 CIDR: A Cooperative Integrated Dynamic Refining Method for Minimal Feature Removal Problem Qian Chen, Taolin Zhang, Dongyang Li, Xiaofeng He

AAAI 2022 DKPLM: Decomposable Knowledge-Enhanced Pre-Trained Language Model for Natural Language Understanding Taolin Zhang, Chengyu Wang, Nan Hu, Minghui Qiu, Chengguang Tang, Xiaofeng He, Jun Huang

AAAI 2021 KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He

AAAI 2019 Improving Hypernymy Prediction via Taxonomy Enhanced Adversarial Learning Chengyu Wang, Xiaofeng He, Aoying Zhou

ICML 2006 R1-PCA: Rotational Invariant L1-Norm Principal Component Analysis for Robust Subspace Factorization Chris H. Q. Ding, Ding Zhou, Xiaofeng He, Hongyuan Zha

ECML-PKDD 2005 Nonnegative Lagrangian Relaxation of K-Means and Spectral Clustering Chris H. Q. Ding, Xiaofeng He, Horst D. Simon

ICML 2004 K-Means Clustering via Principal Component Analysis Chris H. Q. Ding, Xiaofeng He

ICML 2004 Linearized Cluster Assignment via Spectral Ordering Chris H. Q. Ding, Xiaofeng He

NeurIPS 2001 Spectral Relaxation for K-Means Clustering Hongyuan Zha, Xiaofeng He, Chris Ding, Ming Gu, Horst D. Simon