Cao, Feilong

5 publications

ICML 2025 EduLLM: Leveraging Large Language Models and Framelet-Based Signed Hypergraph Neural Networks for Student Performance Prediction Ming Li, Yukang Cheng, Lu Bai, Feilong Cao, Ke Lv, Jiye Liang, Pietro Lio

NeurIPS 2025 HyperMixup: Hypergraph-Augmented with Higher-Order Information Mixup Kaixuan Yao, Zhuo Li, Jianqing Liang, Jiye Liang, Ming Li, Feilong Cao

IJCAI 2025 MATCH: Modality-Calibrated Hypergraph Fusion Network for Conversational Emotion Recognition Jiandong Shi, Ming Li, Lu Bai, Feilong Cao, Ke Lu, Jiye Liang

IJCAI 2025 Multi-Modal Point Cloud Completion with Interleaved Attention Enhanced Transformer Chenghao Fang, Jianqing Liang, Jiye Liang, Hangkun Wang, Kaixuan Yao, Feilong Cao

ICML 2023 How Powerful Are Shallow Neural Networks with Bandlimited Random Weights? Ming Li, Sho Sonoda, Feilong Cao, Yu Guang Wang, Jiye Liang