He, Ming

7 publications

ICML 2025 Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data Zhong Guan, Likang Wu, Hongke Zhao, Ming He, Jianping Fan

AAAI 2025 Boosting Causal Structure Learning: An Asymmetric Exponential Modulation Gaussian-Based Adaptive Sample Reweighting Framework Wei Xiao, Hongbin Wang, Ming He, Nianbin Wang

AAAI 2025 Multi-View Empowered Structural Graph Wordification for Language Models Zipeng Liu, Likang Wu, Ming He, Zhong Guan, Hongke Zhao, Nan Feng

ECML-PKDD 2023 Prototype-Guided Counterfactual Explanations via Variational Auto-Encoder for Recommendation Ming He, Jiwen Wang, Boyang An, Hao Wen

ECML-PKDD 2022 Mitigating Confounding Bias for Recommendation via Counterfactual Inference Ming He, Xinlei Hu, Changshu Li, Xin Chen, Jiwen Wang

IJCAI 2021 DeepME: Deep Mixture Experts for Large-Scale Image Classification Ming He, Guangyi Lv, Weidong He, Jianping Fan, Guihua Zeng

IJCAI 2021 Guided Attention Network for Concept Extraction Songtao Fang, Zhenya Huang, Ming He, Shiwei Tong, Xiaoqing Huang, Ye Liu, Jie Huang, Qi Liu