A Consensus Clustering Algorithm for Multitask Multiview Learning. - Yiling Zhang; Yan Yang 001; Wei Zhou; Xiaocao Ouyang; Xiaobo Zhang (ISKE, 2019)

Spatial-Temporal Dynamic Graph Convolution Neural Network for Air Quality Prediction. - Xiaocao Ouyang; Yan Yang 001; Yiling Zhang; Wei Zhou (IJCNN, 2021)

Multi-city traffic flow forecasting via multi-task learning. - Yiling Zhang; Yan Yang 001; Wei Zhou; Hao Wang 068; Xiaocao Ouyang (Appl. Intell., 2021)

Deep matrix factorization with knowledge transfer for lifelong clustering and semi-supervised clustering. - Yiling Zhang; Hao Wang 068; Yan Yang 001; Wei Zhou; Tianrui Li 001; Xiaocao Ouyang; Hongyang Chen (Inf. Sci., 2021)

Diffusion Graph Neural Ordinary Differential Equation Network for Traffic Prediction. - Ni Xiong; Yan Yang 001; Yongquan Jiang; Xiaocao Ouyang (IJCNN, 2023)

Dual-channel spatial-temporal difference graph neural network for PM2.5 forecasting. - Xiaocao Ouyang; Yan Yang 001; Yiling Zhang; Wei Zhou; Dongyu Guo (Neural Comput. Appl., 2023)

Domain adversarial graph neural network with cross-city graph structure learning for traffic prediction. - Xiaocao Ouyang; Yan Yang 001; Yiling Zhang; Wei Zhou; Jihong Wan; Shengdong Du (Knowl. Based Syst., 2023)

Granular-Ball Three-Way Decision for Robust Text Classification. - Jie Zhang; Yanhua Li; Xiaocao Ouyang; Lingfei Ren; Xin Yang (IJCRS (3), 2024)

Multimodal federated learning: Concept, methods, applications and future directions. - Wei Huang 037; Dexian Wang 001; Xiaocao Ouyang; Jihong Wan; Jia Liu 033; Tianrui Li 001 (Inf. Fusion, 2024)

CityTrans: Domain-Adversarial Training With Knowledge Transfer for Spatio-Temporal Prediction Across Cities. - Xiaocao Ouyang; Yan Yang 001; Wei Zhou; Yiling Zhang; Hao Wang 068; Wei Huang 037 (IEEE Trans. Knowl. Data Eng., 2024)

Multi-Granularity Open Intent Classification via Adaptive Granular-Ball Decision Boundary. - Yanhua Li; Xiaocao Ouyang; Chaofan Pan; Jie Zhang; Sen Zhao 001; Shuyin Xia; Xin Yang 012; Guo-Yin Wang 001; Tianrui Li 001 (AAAI, 2025)

Enhancing few-sample spatio-temporal prediction via relational fusion-based hypergraph neural network. - Xiaocao Ouyang; Yanhua Li; Dongyu Guo; Wei Huang 037; Xin Yang 012; Yan Yang 001; Junbo Zhang; Tianrui Li 001 (Inf. Fusion, 2025)

FFS-MCC: Fusing approximation and fuzzy uncertainty measures for feature selection with multi-correlation collaboration. - Jihong Wan; Xiaoping Li 001; Pengfei Zhang 016; Hongmei Chen 001; Xiaocao Ouyang; Tianrui Li 001; Kay Chen Tan (Inf. Fusion, 2025)

Rethinking information fusion: Achieving adaptive information throughput and interaction pattern in graph convolutional networks for collaborative filtering. - Jiaxin Wu; Chenglong Pang; Guangxiong Chen; Jihong Wan; Xiaocao Ouyang; Jie Zhao (Inf. Fusion, 2025)