| 2025 | COLING | Perturbation-driven Dual Auxiliary Contrastive Learning for Collaborative Filtering Recommendation. | Caihong Mu, Keyang Zhang, Jialiang Zhou, Yi Liu |
| 2025 | ECAI | DPGC: Adversarial Domain Adaptive Network Based on Dynamic Class Prototype and Graph Convolution for Few-Shot Hyperspectral Image Classification. | Xiangrong Yan, Caihong Mu, Yi Liu |
| 2025 | IJCNN | A Combined Frequency-Domain Filtering and Multi-Scale Spatial Feature Communication Based Network for Hyperspectral Image Classification. | Shanjiao Jiang, Yi Liu, Caihong Mu, Xinyu He |
| 2024 | ICDM | Enhancing Embeddings Quality with Stacked Gate for Click-Through Rate Prediction. | Caihong Mu, Yunfei Fang, Jialiang Zhou, Yi Liu |
| 2024 | IGARSS | Block Pruning And Collaborative Distillation For Image Classification Of Remote Sensing. | Xiaokai Wang, Rongfang Wang, Changzhe Jiao, Yi Niu, Caihong Mu |
| 2024 | IJCNN | A Multi-Attention Network with Multi-Level Spatial-Spectral Feature Fusion Based on Band Selection for Hyperspectral Image Classification. | Yujie Yan, Yi Liu, Yafeng Wang, Caihong Mu |
| 2024 | ICWE | AutoMaster: Differentiable Graph Neural Network Architecture Search for Collaborative Filtering Recommendation. | Caihong Mu, Haikun Yu, Keyang Zhang, Qiang Tian, Yi Liu |
| 2024 | ICWS | Multi-interest Awareness Model for Session-based Recommendation. | Caihong Mu, Jiahuan Chen, Yunlong Chen, Yi Liu |
| 2023 | ICDM | A Graph Convolutional Neural Network for Recommendation Based on Community Detection and Combination of Multiple Heterogeneous Graphs. | Caihong Mu, Heyuan Huang, Yunfei Fang, Yi Liu |
| 2023 | IGARSS | A Lite-CNN for Landslides Recognition on Remote Sensing Images Via Structure Pruning. | Xiaokai Wang, Jia-Wei Chen, Rongfang Wang, Chunlei Huo, Yi Niu, Caihong Mu |
| 2023 | KSEM | A Hypergraph Augmented and Information Supplementary Network for Session-Based Recommendation. | Jiahuan Chen, Caihong Mu, Mohammed Alloaa, Yi Liu |
| 2023 | KSEM | GMiRec: A Multi-image Visual Recommendation Model Based on a Gated Neural Network. | Caihong Mu, Xin Tang, Jiashen Luo, Yi Liu |
| 2023 | KSEM | A Graph Neural Network for Cross-domain Recommendation Based on Transfer and Inter-domain Contrastive Learning. | Caihong Mu, Jiahui Ying, Yunfei Fang, Yi Liu |
| 2023 | PRICAI | AutoShape: Automatic Design of Click-Through Rate Prediction Models Using Shapley Value. | Yunfei Fang, Caihong Mu, Yi Liu |
| 2023 | PRICAI | A Multi-scale Densely Connected and Feature Aggregation Network for Hyperspectral Image Classification. | Jian Zhu, Yi Liu, Jiajie Feng, Caihong Mu |
| 2022 | ICDM | Graph Convolutional Neural Network based on the Combination of Multiple Heterogeneous Graphs. | Caihong Mu, Heyuan Huang, Yi Liu, Jiashen Luo |
| 2021 | IGARSS | A Multi-Branch Network based on Weight Sharing and Attention Mechanism for Hyperspectral Image Classification. | Zhen Guo, Caihong Mu, Yi Liu |
| 2017 | CEC | Information core optimization using Evolutionary Algorithm with Elite Population in recommender systems. | Caihong Mu, Huiwen Cheng, Wei Feng, Yi Liu, Rong Qu |
| 2017 | CEC | Change detection in SAR images based on the salient map guidance and an accelerated genetic algorithm. | Caihong Mu, Chengzhou Li, Yi Liu, Menghua Sun, Licheng Jiao, Rong Qu |
| 2014 | CEC | A memetic algorithm using local structural information for detecting community structure in complex networks. | Caihong Mu, Jin Xie, Ruochen Liu, Licheng Jiao |
| 2014 | CEC | An intelligent ant colony optimization for community detection in complex networks. | Caihong Mu, Jian Zhang, Licheng Jiao |
| 2006 | ICNC | Clonal Selection Detection Algorithm for the V-BLAST System. | Caihong Mu, Mingming Zhu |